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Estimators (3 years - Associate Director level) UK wide £50-90,000 PACE Global is actively recruiting Estimators for Infrastructure, Defence, and Energy. Whether you are looking for your first career move or ready to step into a senior position, there is a genuine opportunity here that matches where you are and where you want to go. The Opportunity by Level Junior Estimator (£50,000 – £60,000) You have the foundation. Now you need the programmes and the mentorship to grow. We will place you on complex, real-world projects from day one — not buried in admin, but contributing to live tenders and cost plans with support from experienced teams. Mid-Level Estimator (£60,000 – £75,000) You know your trade and you are ready for more ownership. These roles offer broader scope, direct client engagement, and the chance to lead tenders on significant programmes across Infrastructure, Defence, and Energy. Senior Estimator (£75,000 – £90,000) You have earned your expertise. These positions reflect that — commercially, professionally, and in terms of the influence you will have over bid strategy and estimating leadership. What we are looking for: • Estimating experience within construction, civil engineering, or a closely related discipline, • Relevant sector exposure welcomed at all levels, • Strong numeracy, commercial thinking, and communication skills, • Ambition to grow — or the experience to lead, • Data and Digital skills are ideal What Is on Offer • Salary: £50,000 – £90,000 (clearly matched to your level and experience), • Defined career progression — not just a promise, • Work on long-term, funded programmes with genuine pipeline, • Supportive teams and senior mentorship, • Flexible working arrangements For more info speak to Chirag Shah, 20 year's recruitment expertise

Senior Backend Engineer – Mobile - Fully Remote Anywhere in UK & Europe! £115,000 I’m working with a high-growth, consumer-facing mobile platform used by millions globally, who are building out a brand new monetisation engineering function. They’ve recently evolved into a more mature, product-led engineering organisation with dedicated squads aligned to Product, and are now hiring a backend engineer to sit at the centre of how they generate revenue. This is a high-impact role focused on building and scaling the systems behind subscriptions, payments and pricing - owning the reliability and performance of the monetisation funnel end-to-end. What you’ll be doing: • Designing and building scalable backend systems that power subscriptions, billing and pricing logic, • Owning the performance, reliability and correctness of revenue-critical systems, • Working closely with Product and Data to support experimentation, analytics and growth initiatives, • Helping shape how monetisation is built as the business continues to scale Tech stack: • Node.js, TypeScript, • AWS, • DynamoDB What they’re looking for: • Strong backend engineering experience in high-scale, consumer-facing products, • Experience working on business-critical systems (payments, subscriptions, or similar high-throughput environments), • Ability to work closely with Product Managers, challenge where needed and prioritise effectively, • Strong communication skills and a product mindset Nice to have: • Experience with in-app purchases or subscription platforms, • Background in mobile-first products, • Exposure to analytics, experimentation or feature flagging systems The setup: • Fully remote, distributed team, • Mature squad structure with strong engineering leadership, • Opportunity to take ownership in a newly formed team with clear progression into leadership If you’re interested, drop me a message or apply and I’ll run you through the details.

About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Role Overview: Turing invites Litigation and Civil Procedure experts to join projects that fine-tune AI models like ChatGPT. You will apply your expertise in trial strategy, motion practice, discovery, and procedural rules to evaluate how AI handles complex litigation scenarios. If you enjoy analyzing case strategy, identifying procedural deficiencies, and providing rigorous legal feedback, this is your opportunity. No prior AI experience is required — your background in U.S. litigation practice is exactly what’s needed. What Does Day-to-Day Look Like: • Review and evaluate AI-generated responses to U.S. litigation hypotheticals, including motion to dismiss arguments, summary judgment analyses, discovery disputes, and trial strategy questions., • Apply a structured legal rubric to assess issue spotting, procedural accuracy under the Federal Rules of Civil Procedure, and proper application of case law and evidentiary standards., • Identify gaps in AI reasoning around standing, jurisdiction, burden of proof, pleading standards (Twombly/Iqbal), and remedies., • Provide detailed, high-quality annotations and written feedback to refine AI models., • Collaborate with researchers and project managers to align evaluation standards and project goals. Requirements: • Juris Doctor (J.D.) from an accredited U.S. law school; Bar admission (active/inactive)., • 3+ years of U.S. legal practice in civil litigation, commercial litigation, or appellate work., • Strong reasoning skills across the Federal Rules of Civil Procedure, evidence, and trial advocacy., • Excellent written communication and attention to detail., • High ethical standards; interest in AI is a plus. Perks of Freelancing with Turing: • Opportunity to work on cutting-edge AI projects with leading LLM companies., • Competitive compensation., • Flexible, fully remote work arrangement., • Learn how to use AI to advance the legal field. Offer Details: • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network.

Senior Product Engineer (Backend) Top UK Startup | Multiple Hires required, from Mid to Staff-Level Software Engineer Location: Fully Remote (UK or EU) OR Onsite/Hybrid in London. Salary: Up to £110K (Depending on experience) I’m currently partnering with one of the UK's most exciting startup success stories. Their engineering headcount is doubling in H1 to keep up with explosive demand. They've built a first-of-its-kind AI platform that allows B2B companies to create hyper-personalised buyer journeys in seconds. Product Engineers will have a full stack mindset but naturally have a bias towards Backend. We are looking for highly driven individuals who want to have immediate impact and build a product that users love!! Your approach and impact you've had are more important than the technologies you've worked with - we are open to the technologies you have used. The Tech Stack: Golang, TypeScript, React. What you’ll do: • Own features from napkin sketch to production., • Architect scalable systems to handle real-time data and generative AI workflows., • Work directly with the founders to shape the product roadmap., • Join a high-performance engineering culture where speed and quality are equally valued. What you need: • 3+ years commercial experience as a Software Engineer., • Extensive experience with a modern tech stack., • Backend Engineers: They use Golang & AWS, but this is not essential. We’re looking for someone who has survived and thrived in the trenches of high-scale engineering. You’ve built robust, message-driven backends and know exactly how to keep a system stable when concurrency levels go through the roof, • A StartUp mindset: you enjoy the pace, the ownership, and the lack of red tape., • The ability to think like a "Product Engineer" - you care about why we build, not just how. Highly Desirable experience: • Working as a Founding / Early Stage Engineer., • Building 0 -1, owning end to end development., • Experience speaking to users. The Package: • Salary: £80,000 - £100,000 Depending on experience. We also have increased budgets for Staff Engineers. We can transfer visas for engineers currently in the UK., • Equity: Very generous equity, • Location: They can accommodate fully remote working in the UK or EU. They have a London base., • Growth: You are joining a team that is doubling - career progression is baked in. This is a rare chance to join a high-growth StartUp right before it hits the mainstream.

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

Senior Data Engineer Remote UK, £90,000 to £100,000 This is an opportunity to join a fast scaling, digital first consumer platform at a pivotal point in its data journey. They are investing heavily in their data infrastructure and are building a high performing, software led data engineering team to support real time, high volume analytics across the business. You will have genuine influence over how data engineering is done, working on modern tooling and best practice from day one. The Company They are a UK based, consumer facing digital platform operating in a highly regulated online environment. Since launching less than a decade ago, the business has grown rapidly, supported by significant recent funding and a strong focus on product, user experience and responsible engagement. Data is central to their growth strategy, and they are building a modern, scalable analytics platform to support this ambition. The team operates fully remotely across the UK and Europe. The Role • Design, build and own end to end data pipelines supporting real time and batch analytics, • Work on high volume, low latency data use cases with a strong focus on reliability and scalability, • Develop production grade data solutions using software engineering best practices such as CI/CD, testing and version control, • Contribute to the design of data models and analytics layers used across the business, • Help implement and mature staging, testing and deployment processes across the data platform, • Strong commercial experience as a data engineer in modern, cloud based environments, • Advanced Python and SQL, with experience using PySpark or similar distributed processing frameworks, • Experience building and maintaining data pipelines in AWS using services such as S3, Glue or EKS, • Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg, • Familiarity with orchestration tools such as Dagster or Airflow, • Strong understanding of data modelling concepts and analytics best practice, • The chance to help shape a growing data platform and engineering culture, • Clear progression opportunities as the data team continues to expand If you are a Senior Data Engineer looking to make a real impact in a growing, product led business, apply now to learn more about the opportunity.

Lead Full-Stack Developer Location: Remote-first Type: Full-time Start: ASAP About Couch Heroes At Couch Heroes, we’re exploring new ground for the MMO genre. In a world where fantasy and ancient technology intertwine, players explore shattered realms, grapple across verticality, solve puzzles, and push back corruption, with progression driven by player expression and discovery. We envision bridging generations of gamers, creating a space where both coexist and journey together. We’re developing in Unreal Engine, in early production, with a team spanning multiple countries. We’re remote-first, based in the UK, and scaling to support a multi-year live-service roadmap. We value autonomy, curiosity, and collaborative ownership, and we’re looking for creators who want to help build something from the ground up. Sound like your kind of thing? We should talk. About the Job The web and platform layer of an MMO is what players interact with outside the game client: account systems, social features, community tools, content delivery, and the services that tie the live experience together. We need a Lead Full-Stack Developer who can own the architecture of these systems and build the engineering team that delivers them. You will report to the CTO and manage a growing team of web and platform engineers. You will make architectural decisions, stay hands-on with code, and represent the web engineering discipline across the studio in production planning and resourcing decisions. We are in early production. The studio has been running for three years, and core platform infrastructure is being built alongside the game itself. You will be making foundational choices about stack architecture, service boundaries, deployment pipelines, and data models that the team builds on for years to come. This is not a maintenance role. You are building systems from the ground up. Your Role People Leadership and Team Development • Manage a growing team of engineers as the team scales through production: set priorities, assign work, balance workload, and run regular 1:1s focused on progress, career development, and honest feedback., • Lead performance reviews and goal setting aligned to production milestones and individual development plans. Identify skill gaps and address them through coaching, stretch assignments, or training., • Represent the web engineering discipline in cross-discipline leads meetings, production planning, and resourcing conversations. Advocate for team needs and capacity., • Foster a team culture of code quality, shared ownership, and continuous improvement., • Support hiring as the team grows: contribute to job descriptions, review technical submissions, and participate in interview loops. Technical Leadership and Architecture • Architect and lead the development of backend microservices using TypeScript, Node.js, and Express, with MongoDB for persistent storage and Redis for caching, session management, and pub/sub messaging., • Design scalable, well-bounded services that support the throughput and reliability demands of a live-service MMO: player accounts, social systems, marketplace, mail, inventory, and platform integrations., • Own CI/CD pipelines using Azure Pipelines, with Docker and Kubernetes on Azure for container orchestration and deployment. Establish deployment practices that support rapid iteration without compromising stability., • Make architectural decisions about service boundaries, data models, caching strategies, and API design that balance immediate delivery needs with long-term scalability., • Establish monitoring, alerting, and incident response practices using Grafana and Uptime Kuma or equivalent observability tools. Frontend Engineering • Build polished, responsive, and accessible interfaces using TypeScript, React, and Next.js, with Redux for state management and Zod for schema validation., • Collaborate with UI/UX design to ensure clean design-to-implementation handoff and user-centric workflows across platform features., • Ensure frontend systems are built for internationalisation, accessibility, and performance from the start. Platform Integration • Work with gameplay engineering and online services to define how web platform systems integrate with the game client: authentication, account management, social features, content delivery, and analytics., • Collaborate with production to manage scope, schedules, and task breakdowns for web engineering work. Contribute to milestone planning, sprint scoping, and capacity forecasting. Must-Haves • Proven experience in software development, with at least one shipped product or live service., • Proven experience in a senior or lead role with hands-on team leadership experience: running 1:1s, setting goals, conducting reviews, and developing team members., • Strong backend experience with TypeScript, Node.js, and Express for API development., • Production experience with MongoDB and Redis in a services environment., • Strong frontend experience with React and Next.js., • Working knowledge of Docker, Kubernetes, and CI/CD pipeline design., • Experience with Azure Cloud services or equivalent cloud platform., • Strong communication skills and a collaborative working style, with proven experience making architectural decisions in cross-functional teams. Nice-to-Haves • Experience building backend services for games, social platforms, or real-time multiplayer applications., • Experience with Redux, Zod, or equivalent state management and validation libraries., • Familiarity with real-time communication systems: WebSocket at scale, pub/sub architectures, or event-driven service design., • Experience with Grafana, Uptime Kuma, or equivalent observability and monitoring tools., • Experience with OAuth2/JWT authentication flows and identity management., • Experience with Golang or additional backend languages., • Contributions to open-source projects or technical writing that demonstrates systems thinking. About You • You lead by example. You are hands-on when needed and empowering always., • You build systems that last and take pride in readable, maintainable code., • You are comfortable translating product vision into technical decisions and explaining technical constraints to non-technical stakeholders., • You are comfortable working through ambiguity. Early production means not everything is defined yet, and you see that as an opportunity to shape the right architecture., • You balance engineering ideals with delivery pragmatism. You know when to build for the future and when to ship what works., • You work autonomously in a remote environment, proactively keeping your team aligned and your stakeholders informed., • We are committed to making our hiring process accessible. If you require reasonable adjustments at any stage, please let us know. Couch Heroes have partnered with Skillsearch on this hire. Jack is leading the search directly with the studio leadership, so feel free to reach out to him at . He will be your point of contact throughout. Looking forward to connecting! Equal Opportunities Couch Heroes is an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applications from all backgrounds and do not discriminate on the basis of age, disability, gender identity or expression, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex, sexual orientation, or any other protected characteristic. Privacy and data We process your personal data as part of the recruitment process. Couch Heroes and Skillsearch both act as data controllers in relation to your application. For details on how your information is collected, used, stored, and your rights under UK GDPR, please review the relevant Privacy Policies below: Couch Heroes: ___ Skillsearch: ___

About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Role Overview: Turing invites Contract Law and Commercial Transactions experts to join projects that fine-tune AI models like ChatGPT. You will apply your expertise in contract drafting, UCC transactions, breach of contract analysis, and commercial dispute resolution to evaluate how AI reasons about contractual obligations. If you enjoy parsing force majeure clauses, analyzing conditions precedent, and evaluating remedies for breach, this is your opportunity. No prior AI experience is required — your background in U.S. contract law is exactly what’s needed. What Does Day-to-Day Look Like: • Review and evaluate AI-generated responses to U.S. contract law hypotheticals, including formation issues, breach analysis, UCC Article 2 sale-of-goods disputes, and damages calculations., • Apply a structured legal rubric to assess issue spotting, accuracy of common law and UCC principles, and proper application of contract interpretation doctrines., • Identify gaps in AI reasoning around consideration, conditions, anticipatory repudiation, liquidated damages, and third-party beneficiary rights., • Provide detailed, high-quality annotations and written feedback to refine AI models., • Collaborate with researchers and project managers to align evaluation standards and project goals. Requirements: • Juris Doctor (J.D.) from an accredited U.S. law school; Bar admission (active/inactive)., • 3+ years of U.S. legal practice in contract law, commercial transactions, or commercial litigation., • Strong reasoning skills across common law contracts, UCC, and commercial agreements., • Excellent written communication and attention to detail., • High ethical standards; interest in AI is a plus. Perks of Freelancing with Turing: • Opportunity to work on cutting-edge AI projects with leading LLM companies., • Competitive compensation., • Flexible, fully remote work arrangement., • Learn how to use AI to advance the legal field. Offer Details: • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network.

🚀 Engineering Leader | High-Growth Series A Scale-up Are you a full-stack pioneer ready to own a product from end-to-end? 🏛️💻 We are exclusively representing a mission-driven tech startup that has just secured a strong Series A funding round of over £10million. They are on a journey to transform how local governments and public agencies operate in the UK and USA — breaking down barriers and building the most intuitive procurement platform of the future. As the first dedicated engineering hire leading a team of 3, you won’t just be writing code; you will be the technical architect and leader shaping the entire roadmap of a high-impact, purpose-led organisation. The Role: Head of Engineering This is a "player-coach" evolution. You will drive great execution, manage the balance of scope and resources, and eventually build a high-performing engineering team from the ground up. Key Responsibilities: • End-to-End Ownership: Lead the technical roadmap, manage the codebase, and own the operation of data and apps in production., • AI-First Product Development: Build and ship AI-powered features used in production (not just prototypes). Comfortable going from idea → implementation → launch, with strong instincts on what to build and why., • Strategic Build Approach: Use a modern stack (React, marketplaces, payments) alongside low-code/no-code and AI tools where they accelerate delivery. Make pragmatic build vs buy decisions., • Team Building: Drive hiring, mentorship, and culture. You’ll manage internal growth while effectively collaborating with external contractors and freelancers., • Execution Excellence: Establish the "Quality Playbook"—setting standards for code reviews, testing, and monitoring. Who You Are: • Technical Polyglot: A rapid learner, fluent in React and complex marketplace infrastructure. You aren’t afraid to get your hands dirty in the code but are ready to delegate as you scale., • Systems Thinker: You think end-to-end about how architecture affects the user and the future of the service., • Entrepreneurial Spirit: You thrive in "startup hustle," acting with urgency and accountability. You care about being effective over being right., • Emotionally Mature Leader: An empathetic mentor who drives clarity in ambiguity and promotes a culture of high standards and transparency. Why This Opportunity? • Key Leadership Status: This is a cornerstone role with the freedom to shape the tech stack and strategy., • Series A Momentum: Join at a pivotal inflection point with the financial backing to scale rapidly., • Real-World Impact: Build technology that empowers local governments to reinvest in their communities., • Equity & Growth: Competitive package including meaningful equity in a venture-backed scale-up.

About Quantiphi: • Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations., • Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake., • Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We have been recognized with: • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: ___ or ___. Role: MLOps Architect - AWS Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) Description: • We are seeking an experienced MLOps/AIOps Architect who can drive end-to-end implementation of MLOps strategy and also contribute broadly across other enterprise AI/ML programs. This role demands a strong architectural mindset, hands-on technical depth, and the ability to design scalable, cloud-native machine learning operations across traditional ML and modern LLM workflows., • The ideal candidate will bring experience with SageMaker-based MLOps pipelines, evaluation of equivalent tooling stacks, hybrid MLOps/LLMOps automation, CI/CD orchestration, governance, monitoring, automation and production-grade scalability patterns. Key Responsibilities: • Architect and implement the MLOps strategy for the programme, ensuring alignment with the project proposal and delivery roadmap., • Design and own enterprise-grade ML/LLM pipelines covering model training, validation, deployment, versioning, monitoring, and CI/CD automation., • Build container-oriented ML platforms (EKS-first) while evaluating alternative orchestration tools with similar capabilities (Kubeflow, SageMaker, MLflow, Airflow, etc.)., • Implement hybrid MLOps + LLMOps workflows, including prompt/version governance, evaluation frameworks, and monitoring for LLM-based systems., • Serve as a technical authority across multiple internal and customer projects, contributing architectural patterns, best practices, and reusable frameworks., • Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems., • Define and implement standards for model deployment, monitoring, governance, and automation to ensure production-grade reliability and scalability., • Collaborate with cross-functional teams — data engineering, platform, DevOps, and client stakeholders — to deliver production-ready ML solutions., • Ensure all solutions adhere to security, governance, and compliance expectations, particularly around handling cloud services, Kubernetes workloads, and MLOps tools., • Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation across cloud-native ML platforms., • Mentor engineers and provide guidance on modern MLOps tools, platform capabilities, and best practices. Skills: • Expierence working in ML/AI engineering or MLOps roles with strong architecture exposure., • Strong experience in leading enterprise grade MLOps strategy and its execution., • Proven experience in implementing the adoption of enterprise-grade MLOps platforms with client data science teams., • Proven leadership in defining and executing enterprise MLOps strategy., • Demonstrated success in driving the adoption of enterprise-grade MLOps platforms with client data science teams., • Strong expertise in AWS cloud-native ML stack, including: SageMaker(primary), EKS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline or equivalent)., • Hands-on experience with at least one major MLOps toolset and awareness of alternatives: MLflow, Kubeflow, SageMaker Pipelines, Airflow, BentoML, KServe, Seldon., • Deep understanding of model lifecycle management (feature engineering->training → registry → deployment → monitoring)., • Experience implementing or supporting LLMOps pipelines, including: prompt versioning, evaluation metrics, automation frameworks., • Deep understanding of ML lifecycle: data ingestion, feature engineering, training, evaluation, model packaging, CI/CD, drift detection, monitoring, and governance., • Strong experience with AWS SageMaker (Pipelines, Feature Store, Model Registry, Model Monitor)., • Experience implementing ML CI/CD pipelines including automated training, testing, validation, model promotion, and endpoint deployment., • Experience working on Infrastructure as Code (IaC) tools and CI/CD pipelines., • Experience with Kubernetes based development., • Experience with feature engineering pipelines and Feature Store management., • Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility., • Hands-on experience with AWS Bedrock and Agentcore service., • Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana., • Strong foundation in Python and cloud-native development patterns., • Solid understanding of security best practices, IAM, secrets management, and artifact governance. Nice to have: • Experience with vector databases, RAG pipelines, or multi-agent AI systems., • Exposure to DevOps and infrastructure-as-code (Terraform, Helm, CDK)., • Hands-on understanding of model drift detection, A/B testing, canary rollouts, and blue-green deployments., • Familiarity with Observability stacks (Prometheus, Grafana, CloudWatch, OpenTelemetry)., • SQL and data transformation experience using Snowflake, Databricks, Spark., • Ability to translate business goals into scalable AI/ML platform designs., • Strong communication and cross-team collaboration skills., • Ability to guide engineering teams through technical uncertainty and design choices. What is in it for you: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

Senior Data Engineer Remote UK, £90,000 to £100,000 This is an opportunity to join a fast scaling, digital first consumer platform at a pivotal point in its data journey. They are investing heavily in their data infrastructure and are building a high performing, software led data engineering team to support real time, high volume analytics across the business. You will have genuine influence over how data engineering is done, working on modern tooling and best practice from day one. The Company They are a UK based, consumer facing digital platform operating in a highly regulated online environment. Since launching less than a decade ago, the business has grown rapidly, supported by significant recent funding and a strong focus on product, user experience and responsible engagement. Data is central to their growth strategy, and they are building a modern, scalable analytics platform to support this ambition. The team operates fully remotely across the UK and Europe. The Role • Design, build and own end to end data pipelines supporting real time and batch analytics, • Work on high volume, low latency data use cases with a strong focus on reliability and scalability, • Develop production grade data solutions using software engineering best practices such as CI/CD, testing and version control, • Contribute to the design of data models and analytics layers used across the business, • Help implement and mature staging, testing and deployment processes across the data platform, • Strong commercial experience as a data engineer in modern, cloud based environments, • Advanced Python and SQL, with experience using PySpark or similar distributed processing frameworks, • Experience building and maintaining data pipelines in AWS using services such as S3, Glue or EKS, • Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg, • Familiarity with orchestration tools such as Dagster or Airflow, • Strong understanding of data modelling concepts and analytics best practice, • The chance to help shape a growing data platform and engineering culture, • Clear progression opportunities as the data team continues to expand If you are a Senior Data Engineer looking to make a real impact in a growing, product led business, apply now to learn more about the opportunity.

🚀 We’re Hiring: Data & DevOps Engineer (Biotech) Help shape the future of immune therapies. A fast-growing biotech company is on a mission to tackle immune dysfunction — a root cause of many cancers, autoimmune conditions, and infectious diseases. By developing first-in-class antigen modulation technologies, the team is pioneering a new approach to controlling how the immune system recognises and targets cells. As the company enters its next phase of growth, we’re looking for a Data & DevOps Engineer to join the IT function and play a key role in building scalable, secure, and reproducible data systems that support cutting-edge science. 🔍 The Role This position sits at the intersection of IT, data, and scientific teams (including Bioinformatics). You’ll lead on designing and delivering modern data infrastructure and DevOps practices that enable high-quality, reproducible research and analytics. 🛠 What You’ll Be Doing • Design and maintain secure, scalable cloud infrastructure (AWS), • Build and optimise CI/CD pipelines for scientific workflows (e.g. Nextflow), • Implement containerisation (Docker) for reproducibility and traceability, • Develop infrastructure-as-code (e.g. CloudFormation), • Architect data pipelines and platforms for structured and unstructured data, • Integrate analytics tools (e.g. Power BI, Spotfire, Microsoft Fabric), • Enhance data governance, lineage, and auditability, • Collaborate closely with scientists and bioinformaticians, • Produce clear technical documentation, • Manage external vendors supporting cloud infrastructure, • Continuously improve systems and processes ✅ What We’re Looking For • Experience in DevOps, Platform Engineering, or similar within biotech, pharma, or life sciences, • Strong expertise in AWS, Docker, and CloudFormation, • Hands-on experience with Linux systems and CI/CD pipelines, • Experience designing data pipelines and ETL processes, • Understanding of data modelling and master data management, • Ability to collaborate effectively with scientific stakeholders ⭐ Nice to Have • Experience in regulated or research-driven environments (data governance, reproducibility), • Exposure to Microsoft Fabric, Azure data services, or modern BI tools, • Experience with AI services (e.g. Amazon Bedrock), • DevOps/security certifications, • API integration experience 🌱 Why Join? • Be part of a company driving a fundamental shift in disease treatment, • Work at the cutting edge of science, data, and engineering, • Collaborate with world-class researchers and technologists

About Quantiphi Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations. Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology’s sake. Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We’ve been recognized with • 17x Google Cloud Partner of the Year awards in the last 8 years., • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • 2x Snowflake Partner of the Year awards., • We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit:______ or___. Role: Cloud Data Architect Experience Level: 8-10+ years Work Location: United Kingdom (Remote) Job Overview: We are seeking a highly skilled AWS Data Migration & Data Engineering Consultant to lead end-to-end data migration initiatives across on-prem, cloud, and multi-cloud environments into AWS. This role focuses on defining and executing data migration strategies, including assessment, wave planning, migration execution, and post-migration stabilization, while ensuring data integrity, minimal downtime, and alignment with business SLAs. The ideal candidate brings strong experience in cross-platform database migrations (Oracle, SQL Server, MySQL, or cloud-native systems) combined with deep expertise in AWS data engineering services and modern data pipeline development. Key Responsibilities: • Lead end to end database migrations to AWS from diverse sources, including on-premises systems (e.g., Oracle, SQL Server, MySQL) and other cloud platforms (e.g., GCP, Azure)., • Lead end-to-end data migration strategy and execution, including assessment, dependency mapping, and wave planning, • Design and implement migration frameworks using AWS DMS, SCT, Glue, and Redshift, • Define and execute data validation, reconciliation, and cutover strategies ensuring zero/low data loss, • Enable CDC-based replication and minimal downtime migrations across heterogeneous systems, • Design and optimize ETL/data pipelines using AWS Glue, PySpark, or EMR, • Architect and implement scalable, secure, and highly available data platforms on AWS, • Drive schema conversion and modernization strategies (heterogeneous migrations where applicable), • Optimize performance of source and target systems pre- and post-migration, • Manage and govern S3-based data lakes and metadata using Glue Data Catalog, • Collaborate with application, infrastructure, and analytics teams for seamless migration and stabilization, • Implement monitoring, rollback, and failure recovery mechanisms, • Ensure adherence to security, governance, and compliance standards Required Skills: • 8+ years of experience in database migration and data engineering, • Proven experience in cross-platform data migrations (on-prem to cloud or cloud to cloud), • Strong hands-on expertise with: AWS DMS (Database Migration Service), AWS SCT (Schema Conversion Tool), AWS Glue (ETL & data integration), Amazon Redshift (data warehousing), • Experience designing and implementing data validation and reconciliation frameworks, • Strong experience in ETL/data pipeline development (Glue, PySpark, EMR, or equivalent), • Deep proficiency in SQL and data modeling concepts, • Experience working with S3-based data lakes and Glue Data Catalog, • Strong understanding of CDC, transaction consistency, and migration cutover strategies, • Hands-on experience with performance tuning, schema design, and query optimization, • Proficiency in Python/PySpark and scripting (Shell/Python), • Experience with Oracle, SQL Server, MySQL, PostgreSQL, or cloud-native databases Nice to Have: • Exposure to real-time replication tools (e.g., GoldenGate or equivalent), • Database Administration (DBA) expertise, including backup & recovery strategies, HA/DR design, database patching and upgrades, lifecycle management, capacity planning, performance monitoring, and security hardening., • Experience with Lake Formation and data governance frameworks, • Familiarity with Data Mesh and cross-account data sharing architectures, • Experience with CI/CD for data pipelines (CodePipeline, Jenkins, etc.), • Knowledge of Infrastructure as Code (Terraform / CloudFormation), • AWS Certifications (Solutions Architect / Data Engineer), • Experience in mentoring teams and leading large-scale migration programs. What’s in it for YOU at Quantiphi: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

Job Description – IFS System Coordinator This is a hybrid role sitting at the intersection of CMMS system administration and operational resource dispatching for a growing UK solar PV O&M portfolio. The successful candidate will be the central point of coordination between field technicians, subcontractors, and the back-office operations team, ensuring that work orders flow efficiently through IFS and that the right resources are dispatched to the right sites within contractual response and resolution timeframes. The role requires someone who is equally comfortable configuring system workflows as they are making real-time dispatching decisions under pressure. You will play a key part in driving data quality, SLA compliance, and continuous improvement of our IFS CMMS platform. Who are we? Stern Energy operates ground mounted photovoltaic systems for over 450MW in the UK. We are among the largest operators in Europe with activities in 5 countries and over 1.6GW under management. We specialise in delivering revamping and repowering projects to enhance asset performance. How do we work? EXPERTISE, RESPONSE, TRANSPARENCY AND PASSION guide everything we do. We are committed to maximising plant efficiency and long-term performance through a Total Quality approach, combining experience, technical expertise, and nationwide service delivery. Main Responsibilities IFS System Coordination • Own the day-to-day operation of IFS CMMS, including work order creation, lifecycle management, scheduling, and closure across the portfolio., • Construct, maintain and improve asset hierarchies, preventive maintenance plans, and standard job templates within IFS., • Ensure data integrity across all work order records, including fault categorisation, root cause tagging, timestamps, and photo/document attachments., • Support ongoing IFS configuration improvements such as workflow refinements, custom fields, reporting views, and user permission structures., • Act as the first point of contact for IFS-related queries in the O&M module from field teams and office staff, providing training and troubleshooting support., • Coordinate with IT and external IFS consultants on system updates, patches, and integration requirements specific to the O&M module. Planned Maintenance Design & System Configuration (New Projects) • Work closely with the PM team during site onboarding to design scheduled maintenance plans in line with O&M contracts., • Translate contractual maintenance requirements into structured IFS PM schedules and triggers., • Configure maintenance frequencies (annual, bi-annual, quarterly, statutory inspections, manufacturer servicing, etc.)., • Ensure correct generation rules and automatic WO triggers are configured within IFS., • Validate that SLA response categories are accurately assigned at contract inception., • Support go-live readiness by ensuring all PM tasks are correctly loaded and tested prior to operational handover. Resource Dispatching Reactive dispatch: • Receive, triage, and dispatch corrective maintenance work orders to internal field technicians or approved subcontractors based on fault priority, contractual SLAs, resource availability, and geographic proximity whilst liaising with all relevant departments where appropriate. Planned dispatch: • Schedule and build preventive maintenance campaigns, thermal imaging surveys, panel cleaning, and other planned activities, optimising routes and resource utilisation across multiple sites, liaising with the RTLs., • Monitor open work orders daily, chasing overdue tasks and escalating where SLA breach is imminent., • Maintain a live view of field resource availability, skillsets, and certifications to inform dispatching decisions with support of the H&S department., • Communicate clearly with field and office teams on job priorities, access requirements, site-specific risks, and any changes to scheduling. Contract & SLA Awareness • Develop a thorough understanding of the response and resolution timeframes defined in each O&M contract across the portfolio., • Flag and escalate potential SLA breaches before they occur, working proactively with the operations team to find solutions., • Track and report on SLA compliance metrics, contributing to monthly client reporting packs., • Understand the distinction between contractual scope and out-of-scope works, ensuring work orders are categorised correctly for billing and reporting purposes. Reporting & KPIs • Produce weekly and monthly reports on work order volumes, completion rates, SLA performance, backlog status, and resource utilisation., • Identify trends in fault data and repeat failures, feeding insights back to the engineering and asset management teams., • Support the development of IFS dashboards and automated reporting to reduce manual effort., • Contribute to availability and performance reporting by ensuring accurate downtime logging within IFS. Continuous Improvement • Proactively identify inefficiencies in current workflows and propose improvements to processes, templates, and system configuration., • Participate in post-incident reviews and contribute to lessons-learned documentation., • Stay current with IFS product updates and assess new features for applicability to the business. Skills & Qualifications Essential • 2–5 years of experience in a CMMS coordination, field dispatch, or planning role, ideally within renewable energy, utilities, or heavy asset management., • Hands-on experience with IFS (or equivalent enterprise CMMS such as SAP PM, Maximo) including work order management, preventive maintenance scheduling, and asset hierarchy administration., • Demonstrable understanding of SLA-driven service delivery, including response/resolution timeframes, priority classification, and escalation procedures., • Strong knowledge of solar PV system components (inverters, string combiner boxes, trackers, MV switchgear) and common fault types in the field., • Excellent organisational skills with the ability to manage competing priorities across a multi-site portfolio., • Confident communicator who can liaise effectively with field technicians, subcontractors, clients, and internal stakeholders., • Proficient in Microsoft Excel and comfortable working with data extraction, pivot tables, and basic reporting., • Self-motivated with a proactive approach to problem-solving and process improvement. Desirable • Direct experience with IFS Cloud or IFS Applications 10., • Familiarity with SCADA/monitoring platforms used in solar O&M (e.g., INACCESS, VCOM, GreenPowerMonitor, AlsoEnergy)., • Experience producing operational KPI reports and dashboards., • Understanding of UK health and safety frameworks relevant to solar PV sites (CDM regulations, working at height, electrical safety). Reporting directly to Operations Management A great benefit package to include: ▪ Employee Assistance programme ▪ Pension scheme ▪ Length of service policy ▪ Inflation support policy ▪ Refer a friend incentive ▪ Enhanced paternity leave ▪ Medical Cash plan ▪ Team building days ▪ Great company culture and regular social events ▪ Wellness Wednesday – 30 minutes break for mindfulness ▪ Extensive learning and development programme ▪ Regular wellbeing check-ins ▪ Company mobile phone ▪ Company vehicle ▪ 25 days of annual leave plus Bank holidays ▪ TOIL mechanism At Stern Energy, we are deeply committed to promoting equity and inclusion, and we celebrate the diversity of our team—both those who are with us today and those who will join us in the future. We encourage applications from individuals of all backgrounds, regardless of gender, gender identity, national origin, religion, social, cultural, or ethnic background, sex, sexual orientation, age, disability, pregnancy, veteran status, or any other characteristic protected by law. Our hiring decisions are based solely on business needs, job requirements, and qualifications. We strive to be an equal opportunity employer, fostering an inclusive environment where everyone is respected and free from discrimination or harassment.

Data Engineer UK, Fully Remote, £65,000 to £70,000 This is an opportunity to join a fast-growing digital marketplace at a pivotal stage in its data journey. The business is investing heavily in its data platform and is looking for a Data Engineer to take ownership of a modern stack, bridge technical and commercial needs, and play a key role in shaping how data is used across the organisation. The Company They are a VC-backed technology business operating a two-sided online marketplace within the education sector. With strong growth and an expanding customer base, data has become central to improving acquisition, understanding user journeys, and delivering clearer commercial insight. The data function is still maturing, offering a rare chance to influence foundations, standards, and ways of working from an early stage. The Role You will be the first key Data Engineer hired in a new phase of the data team, taking ownership of an existing cloud-based data platform following a consultant handover. Working closely with analytics and senior stakeholders, you will help turn fragmented data into reliable, actionable insight. Responsibilities include: • Owning and developing the data platform on GCP, ensuring reliability and scalability, • Building and maintaining robust ingestion pipelines using modern ELT tools, • Designing and maintaining high-quality data models to support analytics and self-serve BI, • Partnering with BI and commercial teams to translate business needs into technical solutions, • Supporting data governance, testing, and documentation across the warehouse, • Strong data engineering fundamentals within a modern cloud data stack, • Proven experience with GCP, BigQuery, dbt, and ELT tools such as Fivetran or similar, • Solid data modelling capability for analytics and reporting use cases, • Hands-on experience with infrastructure as code, particularly Terraform, • Comfortable working in scaling environments with evolving data maturity, • Able to communicate clearly with both technical and non-technical stakeholders, • High autonomy and the chance to shape a growing data platform, • Clear scope for progression as the data function expands If you are a Data Engineer looking to own a modern data stack and make a tangible impact in a growing tech business, apply now to learn more.

About Us Peratera is a UK-based fintech company, founded in 2022 and authorised by the FCA as an Electronic Money Institution. We are building a modern, all-in-one payment platform that enables businesses to manage global payments and financial operations seamlessly. Our solution allows companies to open multi-currency accounts, send and receive payments worldwide, and manage cross-border transactions from a single platform. Our mission is to simplify global finance and remove friction from international business operations. Your Mission As a Senior Java Engineer, you will be a core contributor to our distributed financial platform - going beyond coding to actively shape architecture, drive engineering excellence, and help build systems that are scalable, observable, and regulation-ready. You will join at a stage where the platform is evolving fast and the right engineers will grow with it - toward Tech Lead or Staff Engineer roles. Your Tech Environment You will work in a modern, cloud-native stack with clear ownership and no legacy surprises: • Backend: Java 17+, Spring Boot (Core, Security, Data, Cloud), REST APIs, event-driven services, Camunda, • Infrastructure: AWS (EKS, RDS, CloudWatch), Docker, Kubernetes, GitLab CI/CD, • Data & Messaging: PostgreSQL, AMQP / Kafka-style message brokers, event-driven architecture, • Observability: OpenSearch / ELK, Prometheus / Micrometer, OpenTelemetry (in progress), • Integrations: Open Banking providers, banking partners, external payment systems What You’ll Do • Design and develop high-load, distributed backend services for financial operations, • Work on core payment flows, callbacks, reconciliation, and transaction lifecycle management, • Participate in architecture discussions and contribute to system design decisions, • Implement observability across services - logging, metrics, and distributed tracing, • Improve system reliability, fault tolerance, and overall platform resilience, • Drive code quality, testing strategy, and engineering best practices across the team, • Collaborate closely with Product, DevOps, and Architecture teams, • Contribute to the platform's evolution toward AI-assisted and data-driven capabilities What We’re Looking For • 6+ years of strong, production Java experience, • Deep expertise in the Spring Boot ecosystem, • Solid understanding of distributed systems and microservices architecture, • Experience building high-load or financial systems - payments, banking, or fintech, • Strong REST API design skills and hands-on experience with messaging systems, • Solid SQL skills; PostgreSQL experience preferred, • Familiarity with cloud environments, CI/CD pipelines, and observability tooling, • Clean Code mindset - SOLID principles, maintainability, and genuine ownership, • Comfortable working asynchronously in a distributed, international team Nice to Have • Exposure to Open Banking or regulated payments environments, • Experience with Camunda or other workflow orchestration engines, • Understanding of PCI DSS compliance requirements, • Experience with event-driven or event-sourcing architectures, • Interest or hands-on experience with AI/ML applied to backend systems What You’ll Get • Competitive, market-aligned compensation - discussed openly at first interview, • Direct impact on architecture and strategic platform decisions from day one, • A real fintech platform running at production scale - not a demo environment, • Exposure to modern cloud-native, AI-assisted, and Open Banking systems, • Fully remote setup with flexible hours and an international, highly skilled team Sounds like a match? Send us your CV - we’re excited to get to know you.

Analytics Engineer - 12 month fixed term contract UK Remote £67,000 plus benefits This Analytics Engineer role stands out as a chance to play a key part in a large scale Lakehouse programme, sitting at the intersection of engineering, analytics and the wider business. You will take real ownership of curated data models, shape how data is structured and served across the organisation, and influence best practice as the analytics engineering capability continues to grow. The Company They are a large, well established UK organisation with a strong reputation for combining technical excellence with a people first culture. Data and analytics are a strategic priority, with ongoing investment into a modern cloud based data platform. Engineering teams are expanding as part of a broader transformation, creating genuine opportunities to have impact and influence. The Role You will join a growing analytics engineering team and play a critical role in the Lakehouse environment. Your responsibilities will include: • Leading the design and delivery of curated, analytics ready data models within the Lakehouse, • Owning the transformation from enriched to curated datasets, enabling trusted reporting and insight, • Developing and maintaining robust SQL and PySpark transformation pipelines in Databricks, • Embedding data quality, testing, reliability and performance into the curated layer, • Working closely with data engineers, BI teams and business stakeholders to translate complex requirements, • Providing technical leadership, mentoring and setting modelling and engineering standards, • Strong commercial experience as an Analytics Engineer within a modern data platform, • Excellent data modelling capability, including dimensional and semantic modelling, • Advanced SQL skills and strong hands on experience with PySpark, • Experience working with Databricks and Lakehouse architectures, • A solid grounding in engineering best practices, testing and data quality, • Confidence mentoring others and taking ownership of technical decisions, • Flexible by choice working, supporting different schedules and work life balance, • A 35 hour working week within a supportive, inclusive engineering culture If you are an Analytics Engineer looking to make an impact in a growing Lakehouse environment, apply now to find out more.

📱 Junior Android Developer | Building the Future of Mobile !! IMMEDIATE JOINERS !! Mobile Engineer (Junior Android Developer) Location : London Work mode : Onsite Experience: 2–5 years CITIZEN & DEPENDENTS Are you a mobile enthusiast who lives for clean code and smooth UI transitions? We are looking for a Junior Android Developer with 1+ years of professional experience to join our engineering team. At this stage in your career, you’ve moved past "Hello World" and are ready to tackle real-world scalability, complex APIs, and the occasional Gradle headache. If you’re eager to learn from seniors while making a tangible impact on a product used by thousands, let’s talk. 🛠️ What You’ll Do • Feature Development: Collaborate with our product and design teams to build and ship high-quality features for our Android application., • Code Quality: Write clean, maintainable code in Kotlin (and some legacy Java) while following modern architectural patterns (MVVM/MVI)., • UI/UX Implementation: Turn Figma designs into pixel-perfect layouts using Jetpack Compose or XML., • Bug Squashing: Identify, debug, and fix performance bottlenecks and edge-case crashes., • Continuous Learning: Participate in code reviews, contribute to technical documentation, and stay up-to-date with the latest Android Jetpack libraries. ✅ What You Bring • Experience: 1+ years of professional experience in Android development (internships count if they were high-impact!)., • Language Proficiency: Strong foundations in Kotlin and a solid understanding of Java., • Android SDK: Familiarity with Activities, Fragments, Services, and Lifecycle components., • Networking: Experience working with RESTful APIs using Retrofit and handling JSON data., • Tooling: Proficiency with Git and a working knowledge of Android Studio., • Mindset: A "can-do" attitude and the humility to ask for help when a bug just won't budge. 🌟 Bonus Points if You Have: • A published app on the Google Play Store (send us the link!)., • Experience with Dependency Injection (Hilt/Dagger)., • Familiarity with Coroutines and Flow for asynchronous programming., • A passion for Material Design 3. 🚀 Why Join Us? • Mentorship: Work directly with Senior Developers who actually enjoy teaching., • Tech Stack: We stay on the cutting edge—no ancient legacy codebases here., • Growth: A clear path to becoming a Mid-level Developer within [Timeframe]., • Perks: [Insert Perks: e.g., Remote-first culture, Learning stipend, Health benefits].

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

Note: no agencies/consultancies, must be in the UK with right to work We're building the digital infrastructure that makes clean energy work in the real world. Seventy million machines run on diesel. The alternatives exist. But the operations are complex, the supply chains are still emerging, and for most companies the transition feels risky. That's the problem we're solving. Logiq Systems builds the operational intelligence layer that makes clean energy work in the real world. One platform for fuel suppliers, rental companies, and asset operators to deploy, monitor, and optimise hydrogen, battery, solar, and alternative fuel systems — at the scale and reliability that industries actually need. We're live across construction, events, and industrial sectors with customers including Toyota, Balfour Beatty, Acciona, Sunbelt Rentals, and Protium. The technology works. Now we're scaling the team that scales the business. If you want to work on infrastructure that matters, in a company early enough that what you do shapes the industry, we'd like to hear from you. UNITED KINGDOM, REMOTE / FULL-TIME Role Summary: We are looking for a Senior Software Engineer (full-stack) to develop the Logiq platform. Working closely with our Head of Product, you will be responsible for building software that forms the core of our main business, as well as defining the long-term technical direction of Logiq Systems. Who we are today: Logiq Systems was founded in 2020 and is currently a team of five. Aran Bates and Ben Lindley are the founders, two friends turned colleagues. We are both dads of kids less than 5 years old (two each). Having both worked on this for two years self-funded (although now venture backed) we are driving a huge market shift in off-grid energy. While it is one that won't change with the speed of the AI bubble - this is infrastructure and hardware, not some Al wrapper over ChatGPT - it delivers sticky and lasting change with our customers and the industries we touch. As a team our passion and mission is improving the world around us, making it better for people and the planet. Our purpose pushes us to be the force of change in this industry. Not just in environmental sustainability by making the world less polluted from carbon, noise and poor air quality, but also in creating a supportive company flexible to the realities of modern life. A company with a diverse, equal, and respectful workforce. What does that really mean though? Well we recognise that talent can exist anywhere in the UK and that people have life commitments that can overlap with traditional 'core hours'. We are remote-first: As a team we are spread across the UK from Edinburgh to London, this means we can work with the best people out there. We also recognise the importance of building a sense of team, meeting regularly (at least once a quarter) and put a lot of emphasis into team building in the 'virtual' work environment also - e.g. daily team video calls, non- work Slack channels such as one specifically for sharing the music we are listening to. Although for this role there is a preference to have a candidate within around an hour of travel to Edinburgh or Oxford to work with the founders or the Head of product in person more regularly. Flexible working: To manage the interface of life and work we operate a flexible working policy, at the start of every week we have a whole team standup and in that we clearly communicate as a team what commitments people have that might cut into the working day or lead to a hard stop at the end of the day, so that as a team we can ensure that life and work fit together. Supporting women and primary carers in tech: Both Ben and Aran fully recognise the importance of building a supportive working environment for women and parents so they can continue a career, while remaining supportive and attentive to both kids and work. This has been heavily influenced through their experience as fathers and with partners who continue to have successful careers, while sharing parenting loads. The team we are building: The team we want to build is one where we are: • Passionate about making a difference. We are pushing change through a traditional market there meaning there are naysayers, so it is very important we have strong belief in the change we are driving., • Flexible and comfortable with ambiguity. We must be flexible as the market is early and developing. You will be shaping a new offering in the clean energy industry right from the start!, • Extremely self-motivated with a strong work ethic. We are a small team and need people to own their work. We also work hard because we love what we do!, • Fun! We need to enjoy what we do, while still being proud about the quality of our work., • Humble, authentic, and honest. We give credit where credit is due. We can respect, support and celebrate others for the value they bring., • Comfortable being challenged. We believe in creating an environment where we feel comfortable and safe enough for ideas to be challenged in a constructive manner., • Curious. Curiosity drives improvement and innovation. Always ask why. The Role: As a Senior Software Engineer, you will be responsible for the long-term technical direction of the Logiq platform and products, which provide real-time operational intelligence for connected clean energy assets. You will be designing and developing new products, features and improvements to the Logiq platform, delivering value to our growing customer base and the key capabilities required to evolve our growing business. As a senior member of the team, you will also have direct input into the product direction, working closely with the Head of Product to shape how Logiq develops as we scale. You will also be the champion of software engineering best practices across Logiq Systems. A few of your responsibilities: • Design and develop full-stack features using React, Python, PostgreSQL and serverless technologies (AWS Lambda, Fargate)., • Design and implement RESTful APIs and event-driven systems., • Maintain, extend and improve optimisation, alerting and forecasting models., • Implement and maintain CI/CD pipelines., • Ensure high-quality code through peer reviews, automated testing, documentation and adherence to software development standards., • Take ownership of the technical architecture and engineering processes., • Collaborate closely with a small startup team. To thrive in this role: We expect you to: • Be comfortable with variety and shifting priorities. Early-stage companies require adaptability, and you'll be working across very different types of tasks., • Take ownership of outcomes, not just tasks. You'll be given problems to solve, not always detailed instructions on how to solve them. We'll provide context and support, but you should be confident running with work and coming back with solutions or thoughtful questions., • Balance quality with speed. Early-stage work requires knowing when "good enough" is better than "perfect but late"., • Ask questions and challenge ideas respectfully. We value curiosity and constructive input across the team. We value people who bring their perspective and aren't afraid to ask "why?" or "what if we tried...?". Equally they are comfortable with their ideas also being respectfully questioned. We put the problem being tackled in the middle. What you'll need to do this job: • Full-stack: Proven experience in full-stack software development. We are using Python (REST & GraphQL) for the backend, React for the frontend., • Cloud architecture design: Proven experience in scalable cloud architecture design., • API design: Solid understanding API design (REST & GraphQL)., • SQL/NoSQL databases: Experience working with SQL (Postgres) and / or NoSQL databases., • AWS: Familiarity with the AWS Serverless stack and event driven architectures., • Customer Mindset: We value engineers who have a strong product and customer-centric mindset., • Communication: Excellent communication and collaboration skills to explain ideas clearly., • Collaborative and low-ego approach: You contribute positively to team culture and work well with others., • Agile: Comfortable with very lean/agile processes. We want you to be involved in all phases of the development lifecycle and bring your unique talents to the process., • DevOps: Experience with DevOps including setting up and managing CI/CD pipelines and terraform deployment., • AI enabled: Comfortable with leveraging AI to better assist developer workflows and rapid prototyping, • Testing: A strong testing mindset. If you think you meet most of the criteria, please get in touch! Experience we'd love to see: • Experience in developing high-scalability systems, • Experience with IoT data collection and processing pipelines. We are using a combination of Node-RED, MQTT, Telegraf, Linux, Python, InfluxDB and TimescaleDB., • Experience with integration of 3rd-party systems, • Experience with statistical modelling, ML optimisation & forecasting, • Strong data analytics skills, • Experience in early-stage start-ups, consulting, or high-growth environments where you've navigated ambiguity and taken initiative, • Experience working on (renewable) energy products or telemetry producing systems Location: • United Kingdom, Remote full-time, • We are remote first. We meet regularly (around once a quarter at least)., • We can’t currently support visas so you must have the right to work in the UK., • Preference for 1hr travel proximity to Edinburgh or Oxford to meet semi-regularly to work with founders or Head of Product. Remuneration: • £55,000 to £70,000/year salary depending on experience, • Share options in Logiq Systems

About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Role Overview: Turing invites Employment and Labor Law experts to join projects that fine-tune AI models like ChatGPT. You will apply your expertise in workplace discrimination, wage and hour compliance, ERISA, and labor relations to evaluate how AI handles employment law scenarios. If you enjoy analyzing wrongful termination claims, ADA accommodations, and collective bargaining disputes, this is your opportunity. No prior AI experience is required — your background in U.S. employment law is exactly what’s needed. What Does Day-to-Day Look Like: • Review and evaluate AI-generated responses to U.S. employment law hypotheticals, including Title VII discrimination claims, FLSA wage disputes, FMLA leave questions, and NLRA union activity scenarios., • Apply a structured legal rubric to assess issue spotting, accuracy of employment statutes, and proper application of agency guidelines (EEOC, DOL, NLRB)., • Identify gaps in AI reasoning around burden-shifting frameworks (McDonnell Douglas), employee classification, non-compete enforceability, and workplace safety (OSHA)., • Provide detailed, high-quality annotations and written feedback to refine AI models., • Collaborate with researchers and project managers to align evaluation standards and project goals. Requirements: • Juris Doctor (J.D.) from an accredited U.S. law school; Bar admission (active/inactive)., • 3+ years of U.S. legal practice in employment law, labor relations, or workplace compliance., • Strong reasoning skills across Title VII, ADA, FLSA, FMLA, ERISA, and NLRA., • Excellent written communication and attention to detail., • High ethical standards; interest in AI is a plus. Perks of Freelancing with Turing: • Opportunity to work on cutting-edge AI projects with leading LLM companies., • Competitive compensation., • Flexible, fully remote work arrangement., • Learn how to use AI to advance the legal field. Offer Details: • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network.

Analytics Engineer UK, Fully Remote, £65,000 to £70,000 This is an opportunity to join a fast-growing digital marketplace at a pivotal stage in its data journey. The business is investing heavily in its data platform and is looking for an Analytics Engineer to take ownership of a modern stack, bridge technical and commercial needs, and play a key role in shaping how data is used across the organisation. The Company They are a VC-backed technology business operating a two-sided online marketplace within the education sector. With strong growth and an expanding customer base, data has become central to improving acquisition, understanding user journeys, and delivering clearer commercial insight. The data function is still maturing, offering a rare chance to influence foundations, standards, and ways of working from an early stage. The Role You will be the first key Data Analytics Engineer hired in a new phase of the data team, taking ownership of an existing cloud-based data platform following a consultant handover. Working closely with analytics and senior stakeholders, you will help turn fragmented data into reliable, actionable insight. Responsibilities include: • Owning and developing the data platform on GCP, ensuring reliability and scalability, • Building and maintaining robust ingestion pipelines using modern ELT tools, • Designing and maintaining high-quality data models to support analytics and self-serve BI, • Partnering with BI and commercial teams to translate business needs into technical solutions, • Supporting data governance, testing, and documentation across the warehouse, • Strong data and analytics engineering fundamentals within a modern cloud data stack, • Proven experience with GCP, BigQuery, dbt, and ELT tools such as Fivetran or similar, • Solid data modelling capability for analytics and reporting use cases, • Hands-on experience with infrastructure as code, particularly Terraform, • Comfortable working in scaling environments with evolving data maturity, • Able to communicate clearly with both technical and non-technical stakeholders, • High autonomy and the chance to shape a growing data platform, • Clear scope for progression as the data function expands If you are an Analytics Engineer looking to own a modern data stack and make a tangible impact in a growing tech business, apply now to learn more.

ABOUT US ___, part of Capgemini, tackles the hardest work in data for the world’s largest organizations. We combine intelligent software with deep data expertise to help the Fortune2000 tackle complex data challenges and drive measurable business outcomes with business-ready data. Syniti’s Data First strategy transforms data from an afterthought into a strategic asset—unlocking insights, reducing risk, and fueling growth. With over 5,000 successful projects, we support the full data lifecycle through a unified platform for migration, quality, replication, matching, master data management, analytics, governance, and strategy. Operating globally across industries, Syniti’s award-winning software, expert consultants give enterprises a unique edge in managing and maximizing their data. Syniti’s cloud-native platform sets new standards in enterprise data management, combining powerful SaaS solutions with deep domain expertise. Designed for agility and scale, our technology helps customers accelerate digital transformation, drive innovation, and make confident decisions with trusted data. Every product enhancement is built to solve real business challenges—empowering organizations to unlock value from their data faster and more effectively. THE ROLE The Principal SRE – Azure Specialist will drive the design and implementation of automation, observability, and operational excellence within Syniti’s Microsoft Azure-hosted runtime environments. This role will focus on architecting and deploying globally scalable, regionally compliant (Cyber Essentials+, SecNumCloud), zero trust architectures. This engineer will lead the technical project to port Syniti’s SaaS architecture and services from AWS to Azure, ensuring platform consistency, operational parity, and regulatory alignment. They will serve as a cross-functional technical leader, developing resilient IaC frameworks, secure deployment models, and integrating Azure-native services with Kubernetes (AKS) and Syniti’s platform stack. WHAT YOU WILL DO • Design and maintain Azure-hosted environments supporting the Syniti SaaS platform across multiple global regions., • Build reusable IaC modules in Terraform for network, compute, and managed PaaS services., • Integrate Azure-native logging, security, and cost optimization with observability pipelines., • Lead incident resolution and proactive failure domain analysis within Azure-hosted regions., • Develop secure service-to-service communication standards leveraging Azure AD workload identity and pod identities., • Collaborate with Compliance and Security to meet UK, EU, and French regional regulatory requirements., • Drive self-healing systems using automation to reduce toil and human intervention., • Support cloud region expansion and infrastructure builds via GitOps and pipeline automation. WHAT IT TAKES • Self-starter with deep understanding of hybrid cloud patterns and Azure ecosystems., • Ability to thrive in a high-stakes, distributed operations environment with mission-critical SaaS systems., • Strong communication and cross-regional collaboration capabilities., • Deep technical expertise across Azure infrastructure and platform services., • Comfort working with engineers across DevOps, Security, and Product teams to deliver shared outcomes., • 15+ years of experience in infrastructure, cloud, or SRE roles., • 5+ years designing or operating in Azure environments including AKS, Storage, VNets, Private Link, Azure Monitor., • 3+ years proficiency with GitOps and declarative infrastructure patterns using tools like Terraform, Bicep, or Pulumi., • 3+ years implementing or maintaining CI/CD pipelines., • 2+ years of Software Development experience, • Advanced scripting skills in Bash, Python, or Go., • Strong understanding of managed identity, Azure AD, and Kubernetes identity integrations., • Think Big - Be courageous and bold. Aspire to greatness. Relentlessly pursue market innovation. Set the standard by which others follow. Create solutions that have a meaningful impact. Solve the challenges our customers don’t know they have., • Be Curious - Be a lifelong learner. Seek out new ideas to serve customers. Understand our competition and the world. Be permanently dissatisfied with the status quo. Challenge preconceptions. Focus on the future rather than yesterday., • Take Action - Be the first. Don’t wait. Take accountability. Inspire others by doing. Fail fast and learn from mistakes. Make a difference every day., • Stronger Together - Respect, trust and look out for each other. Celebrate diverse perspectives. Listen. Build connections and belonging. Act with integrity. Give back. One Syniti family. WHAT WE OFFER • Trust that you are proficient at what you do. At Syniti, you will find a supportive environment and access to learning tools, but micromanagement is not our thing., • Growth. We are growing rapidly and steadily solving the biggest challenges enterprise companies are faced with today. There was never a better time to join and grow with us. Most importantly, you will have the chance to shape our journey and share in our success story., • Support. We all rely on each other and enable each other to be successful. You won’t stand alone., • Curiosity and genuine interest in you. We all have our different stories, all equally fascinating, with each depicting a different journey, and we want to hear them all., • Recognition. We are the sum of individual achievements, and we always take the time to celebrate them., • An open organisation. Hierarchies are not our thing, and access is something we make sure of across the board. We are a family where everyone is just as important, everyone’s work is seen, and ideas are valued. OUR COMMITMENT TO INCLUSION At Syniti, we’re committed to creating a respectful, inclusive, and fair workplace where everyone belongs and thrives. We believe that diverse perspectives make us stronger — and we value the unique backgrounds, experiences, and voices each person brings to our team. We welcome applicants based on their skills and potential, and we’re dedicated to ensuring equal opportunities for all, regardless of personal background. If you need accommodations during the hiring process, please let us know — we’re here to support you.

SC Cleared Technical Architect – Data Platforms Please note this role is based in either London or Manchester and you must have Active - or very recently lapsed - SC Clearance to be considered for this role. We are currently working with a leading technology consultancy on a Technical Architect (Data Platforms) opportunity, supporting the design and evolution of large-scale, cloud-based data platforms across a range of high-impact programmes. This role is ideal for someone who enjoys shaping architecture, working across complex environments, and driving modern data platform solutions end-to-end. Key details: • Salary: £65,000 – £90,000, • Location: Hybrid – London or Manchester hubs, • Permanent or FTC options available, • Active SC Clearance required (must already hold this - you will be required to evidence your clearance) Required Skills & Experience • AWS (essential): S3, EMR, Glue, • Kafka / event streaming architectures, • Python & PySpark-based data processing, • Experience designing data ingestion pipelines (batch and real-time)., • Proficiency in Infrastructure as Code (Terraform)., • Experience with GitHub-based workflows and CI/CD pipelines., • Experience with data lake and lakehouse architectures. Strong understanding of: • Data ingestion patterns, • Data transformation and curation layers, • Data access and productisation, • Ability to design for large-scale datasets., • Experience supporting cloud migrations, • Knowledge and experience with Azure & Microsoft Fabric & Databricks would be beneficial, • Familiarity with event-driven and streaming-first architectures at scale., • Strong stakeholder engagement and cross-team collaboration skills., • Ability to operate effectively within existing governance and standards., • Pragmatic decision-making balancing delivery pace and technical quality., • Clear communicator able to translate complex architecture into actionable guidance., • Experience working in large, complex enterprise environments., • This role will require active or recently lapsed (within 6 weeks) SC Clearance

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Ideal Background: This role is ideal for engineers who have shipped high-impact products at fast-moving companies like Stripe, Airbnb, Cloudflare, Datadog, Coinbase, or similar high-growth engineering environments. We especially welcome graduates from programs with strong CS foundations such as University of Washington, University of Illinois Urbana-Champaign, UT Austin, University of Michigan, Purdue, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections across the full stack — in Python for backend and ML workflows, and JavaScript (React, Node.js) for frontend and API layers, alongside C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Work on AI model training initiatives by curating code examples, building solutions, and correcting code across both Python and JavaScript (React, Node.js), with additional work in C/C++, Java, Rust, and Go., • Evaluate and refine AI-generated code across backend and frontend contexts to ensure that it is efficient, scalable, and reliable., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents that can verify the quality of the code and identify error patterns across full-stack applications., • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them., • Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: • Several years of software engineering experience (3 years or more), • Strong expertise in building full-stack applications using Python and JavaScript (React, Node.js), with the ability to work across backend and frontend codebases., • Experience deploying scalable, production-grade software using modern languages and tools., • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment., • Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week, • Type: Contractor (no medical/paid leave), • Duration: 1 month (potential extensions based on performance and fit), • Location: Candidates must be based in the United States Evaluation Process: • The application process takes 15–30 minutes., • Completion of an AI video interview is required. Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network.

About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Role Overview: Turing invites Securities and Financial Regulation experts to join projects that fine-tune AI models like ChatGPT. You will apply your expertise in SEC enforcement, public offerings, broker-dealer compliance, and investment adviser regulation to evaluate how AI reasons about securities law. If you enjoy analyzing registration requirements, insider trading hypotheticals, and Regulation D exemptions, this is your opportunity. No prior AI experience is required — your background in U.S. securities law is exactly what’s needed. What Does Day-to-Day Look Like: • Review and evaluate AI-generated responses to U.S. securities law hypotheticals, including Securities Act registration, Exchange Act reporting, insider trading (Rule 10b-5), and investment company regulation., • Apply a structured legal rubric to assess issue spotting, accuracy of SEC rules and regulations, and proper application of Howey test, Regulation D, and proxy solicitation rules., • Identify gaps in AI reasoning around materiality, scienter, safe harbors, exempt offerings, and Dodd-Frank whistleblower protections., • Provide detailed, high-quality annotations and written feedback to refine AI models., • Collaborate with researchers and project managers to align evaluation standards and project goals. Requirements: • Juris Doctor (J.D.) from an accredited U.S. law school; Bar admission (active/inactive)., • 3+ years of U.S. legal practice in securities regulation, capital markets law, or financial services compliance., • Strong reasoning skills across the Securities Act, Exchange Act, Investment Company Act, and Investment Advisers Act., • Excellent written communication and attention to detail., • High ethical standards; interest in AI is a plus. Perks of Freelancing with Turing: • Opportunity to work on cutting-edge AI projects with leading LLM companies., • Competitive compensation., • Flexible, fully remote work arrangement., • Learn how to use AI to advance the legal field. Offer Details: • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network.

About Quantiphi: • Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations., • Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake., • Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We have been recognized with: • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: ___ or ___. Role: Cloud Data Architect (AWS) Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) Description: • We are seeking a highly skilled AWS Data Migration & Data Engineering Consultant to lead end-to-end data migration initiatives across on-prem, cloud, and multi-cloud environments into AWS., • This role focuses on defining and executing data migration strategies, including assessment, wave planning, migration execution, and post-migration stabilization, while ensuring data integrity, minimal downtime, and alignment with business SLAs., • The ideal candidate brings strong experience in cross-platform database migrations (Oracle, SQL Server, MySQL, or cloud-native systems) combined with deep expertise in AWS data engineering services and modern data pipeline development. Key Responsibilities: • Lead end to end database migrations to AWS from diverse sources, including on-premises systems (e.g., Oracle, SQL Server, MySQL) and other cloud platforms (e.g., GCP, Azure)., • Lead end-to-end data migration strategy and execution, including assessment, dependency mapping, and wave planning., • Design and implement migration frameworks using AWS DMS, SCT, Glue, and Redshift., • Define and execute data validation, reconciliation, and cutover strategies ensuring zero/low data loss., • Enable CDC-based replication and minimal downtime migrations across heterogeneous systems., • Design and optimize ETL/data pipelines using AWS Glue, PySpark, or EMR., • Architect and implement scalable, secure, and highly available data platforms on AWS., • Drive schema conversion and modernization strategies (heterogeneous migrations where applicable)., • Optimize performance of source and target systems pre- and post-migration., • Manage and govern S3-based data lakes and metadata using Glue Data Catalog., • Collaborate with application, infrastructure, and analytics teams for seamless migration and stabilization., • Implement monitoring, rollback, and failure recovery mechanisms., • Ensure adherence to security, governance, and compliance standards. Skills: • 8+ years of experience in database migration and data engineering., • Proven experience in cross-platform data migrations (on-prem to cloud or cloud to cloud)., • Experience designing and implementing data validation and reconciliation frameworks., • Strong experience in ETL/data pipeline development (Glue, PySpark, EMR, or equivalent)., • Deep proficiency in SQL and data modeling concepts., • Experience working with S3-based data lakes and Glue Data Catalog., • Strong understanding of CDC, transaction consistency, and migration cutover strategies., • Hands-on experience with performance tuning, schema design, and query optimization., • Proficiency in Python/PySpark and scripting (Shell/Python)., • Experience with Oracle, SQL Server, MySQL, PostgreSQL, or cloud-native databases., • Strong hands-on expertise with:, • AWS DMS (Database Migration Service)., • AWS SCT (Schema Conversion Tool)., • AWS Glue (ETL & data integration)., • Amazon Redshift (data warehousing). Nice to Have: • Exposure to real-time replication tools (e.g., GoldenGate or equivalent)., • Database Administration (DBA) expertise, including backup & recovery strategies, HA/DR design, database patching and upgrades, lifecycle management, capacity planning, performance monitoring, and security hardening., • Experience with Lake Formation and data governance frameworks., • Familiarity with Data Mesh and cross-account data sharing architectures., • Experience with CI/CD for data pipelines (CodePipeline, Jenkins, etc.)., • Knowledge of Infrastructure as Code (Terraform / CloudFormation)., • AWS Certifications (Solutions Architect / Data Engineer)., • Experience in mentoring teams and leading large-scale migration programs. What is in it for you: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Role Overview: Turing invites Healthcare and FDA Regulatory Law experts to join projects that fine-tune AI models like ChatGPT. You will apply your expertise in healthcare compliance, FDA drug/device approval, Anti-Kickback Statute analysis, and HIPAA enforcement to evaluate how AI handles healthcare regulatory scenarios. If you enjoy analyzing Stark Law exceptions, False Claims Act liability, and pre-market approval pathways, this is your opportunity. No prior AI experience is required — your background in U.S. healthcare law is exactly what’s needed. What Does Day-to-Day Look Like: • Review and evaluate AI-generated responses to U.S. healthcare law hypotheticals, including HIPAA privacy and security rules, Anti-Kickback Statute safe harbors, Stark Law exceptions, and FDA approval pathways (510(k), PMA, NDA)., • Apply a structured legal rubric to assess issue spotting, accuracy of healthcare regulations, and proper application of CMS guidance and FDA rules., • Identify gaps in AI reasoning around fraud and abuse compliance, clinical trial regulations, telehealth law, and pharmacy benefit management., • Provide detailed, high-quality annotations and written feedback to refine AI models., • Collaborate with researchers and project managers to align evaluation standards and project goals. Requirements: • Juris Doctor (J.D.) from an accredited U.S. law school; Bar admission (active/inactive)., • 3+ years of U.S. legal practice in healthcare law, FDA regulatory affairs, or healthcare compliance., • Strong reasoning skills across HIPAA, the Anti-Kickback Statute, Stark Law, False Claims Act, and FDA regulations., • Excellent written communication and attention to detail., • High ethical standards; interest in AI is a plus. Perks of Freelancing with Turing: • Opportunity to work on cutting-edge AI projects with leading LLM companies., • Competitive compensation., • Flexible, fully remote work arrangement., • Learn how to use AI to advance the legal field. Offer Details: • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network.

About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Role Overview: Turing invites Privacy and Data Protection Law experts to join projects that fine-tune AI models like ChatGPT. You will apply your expertise in CCPA/CPRA compliance, state privacy frameworks, data breach response, and cross-border data transfers to evaluate how AI reasons about privacy law. If you enjoy analyzing consent frameworks, vendor data processing agreements, and FTC enforcement actions, this is your opportunity. No prior AI experience is required — your background in U.S. privacy law is exactly what’s needed. What Does Day-to-Day Look Like: • Review and evaluate AI-generated responses to U.S. privacy law hypotheticals, including CCPA/CPRA consumer rights, state data breach notification requirements, COPPA compliance, and FTC Section 5 enforcement., • Apply a structured legal rubric to assess issue spotting, accuracy of privacy statutes, and proper application of state privacy frameworks (Virginia CDPA, Colorado CPA, Connecticut CTDPA) and federal sectoral laws., • Identify gaps in AI reasoning around data minimization, consumer opt-out rights, vendor management, cross-border transfer mechanisms, and biometric privacy laws (BIPA)., • Provide detailed, high-quality annotations and written feedback to refine AI models., • Collaborate with researchers and project managers to align evaluation standards and project goals. Requirements: • Juris Doctor (J.D.) from an accredited U.S. law school; Bar admission (active/inactive)., • 3+ years of U.S. legal practice in privacy law, data protection, cybersecurity law, or technology transactions., • Strong reasoning skills across CCPA/CPRA, state privacy laws, COPPA, HIPAA (privacy provisions), and FTC enforcement frameworks., • Excellent written communication and attention to detail., • High ethical standards; interest in AI is a plus. Perks of Freelancing with Turing: • Opportunity to work on cutting-edge AI projects with leading LLM companies., • Competitive compensation., • Flexible, fully remote work arrangement., • Learn how to use AI to advance the legal field. Offer Details: • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network.

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from leading programs such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections across the full stack — in Python for backend and ML workflows, and JavaScript (React, Node.js) for frontend and API layers, alongside C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Work on AI model training initiatives by curating code examples, building solutions, and correcting code across both Python and JavaScript (React, Node.js), with additional work in C/C++, Java, Rust, and Go., • Evaluate and refine AI-generated code across backend and frontend contexts to ensure that it is efficient, scalable, and reliable., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents that can verify the quality of the code and identify error patterns across full-stack applications., • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them., • Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: • Several years of software engineering experience (3 years or more), • Strong expertise in building full-stack applications using Python and JavaScript (React, Node.js), with the ability to work across backend and frontend codebases., • Experience deploying scalable, production-grade software using modern languages and tools., • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment., • Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week, • Type: Contractor (no medical/paid leave), • Duration: 1 month (potential extensions based on performance and fit), • Location: Candidates must be based in the United States Evaluation Process: • The application process takes 15–30 minutes., • Completion of an AI video interview is required. Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network.

About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Role Overview: Turing invites Tax Law experts to join projects that fine-tune AI models like ChatGPT. You will apply your expertise in federal income tax, corporate tax planning, partnership taxation, and tax controversy to evaluate how AI handles complex tax scenarios. If you enjoy analyzing Code sections, parsing IRS guidance, and evaluating tax-efficient structures, this is your opportunity. No prior AI experience is required — your background in U.S. tax law is exactly what’s needed. What Does Day-to-Day Look Like: • Review and evaluate AI-generated responses to U.S. tax law hypotheticals, including individual and corporate income tax, pass-through entity taxation, international tax provisions (GILTI, BEAT, Subpart F), and tax controversy procedures., • Apply a structured legal rubric to assess issue spotting, accuracy of Internal Revenue Code provisions, and proper application of Treasury Regulations and IRS guidance., • Identify gaps in AI reasoning around basis calculations, gain recognition, tax credits, transfer pricing, and tax-exempt organization rules., • Provide detailed, high-quality annotations and written feedback to refine AI models., • Collaborate with researchers and project managers to align evaluation standards and project goals. Requirements: • Juris Doctor (J.D.) from an accredited U.S. law school; Bar admission (active/inactive). LL.M. in Taxation is a plus., • 3+ years of U.S. legal practice in tax law, tax planning, or tax controversy., • Strong reasoning skills across the Internal Revenue Code, Treasury Regulations, and state/local tax frameworks., • Excellent written communication and attention to detail., • High ethical standards; interest in AI is a plus. Perks of Freelancing with Turing: • Opportunity to work on cutting-edge AI projects with leading LLM companies., • Competitive compensation., • Flexible, fully remote work arrangement., • Learn how to use AI to advance the legal field. Offer Details: • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network.

About the Company A profitable, founder-led business with ten years in the influencer marketing industry, serving leading consumer brands at scale. The company is expanding its AI-native, subscription-based technology platform built on proprietary data, enterprise relationships, and deep category expertise which is enabling brands and agencies to plan, execute, and measure influencer marketing at scale. The Role The product team uses AI-native tools to go from requirement to working product in days, not months. This means owning the full lifecycle: understanding what a customer actually needs, shaping the right solution, and shipping it yourself. A Product Engineer sits at the intersection of three disciplines that used to require three different people. What You'll Do • Own discovery to delivery: join customer calls, extract the real requirement, then build it. No handoff, no ticket queue., • Build with AI-native tools (Claude Code, Cursor, etc.) and know when to generate, when to edit, and when to reason from first principles., • Make product decisions under uncertainty: scope sensibly, balance speed and correctness, know when to ship., • Think adversarially about your own work: cover edge cases, write tests, catch bugs before users do. What They're Looking For Product-first instinct with enough technical depth to know what's hard, what's easy, and how to build it. You don't need to be a senior engineer, just someone who has built things, understands how system layers fit together, and isn't intimidated by unfamiliar code. Technical Familiarity Frontend/backend tradeoffs, REST APIs, data modelling, caching, CI/CD, UI component libraries, authentication flows, performance fundamentals. Nice to Have Startup experience, comfort with ambiguity, finished side projects, strong opinions on good software UX, background in creator economy or influencer marketing. The Details • Compensation: Market-competitive salary, • Location: London-based; mostly remote with regular in-person days, • Work Authorisation: Right to work in UK or EU required. No visa sponsorship., • Benefits: 25 days PTO, company days off, wellness days, L&D budget, annual bonus, paid sick leave.

Role: Mid-Senior DevOps Engineer 4-day workweek: 32 hours per week Pay: £50,000.00-£55,000.00 per year Work Location: Remote-first, home-based UK role with travel to Canterbury once every 2 weeks Job Type: Full-time Job Description: The Role We’re seeking a Mid-Senior DevOps Engineer to own and evolve our cloud platform, CI/CD, security, reliability and cost-efficiency across multiple regions. This is a pivotal and exciting role as we expand into new markets and continue to grow rapidly. In this role, you’ll have high autonomy, and your impact on the team and wider company will be far-reaching. Your focus will be on cloud infrastructure, automation and supporting high developer productivity. You’ll collaborate closely with Developers, QA and the Technical Lead to build a robust, well-documented and auditable platform that lets the team ship safely and quickly. This role is remote, home-based (UK) with occasional travel to Canterbury once every 2 weeks. Salary & Benefits Competitive Salary, DOE. EOT Scheme beneficiary after 12 months of service Extra time off at Christmas Private Healthcare Scheme EAP Scheme Cycle to Work Scheme Up to 6 Fully Paid Company Activity Days per annum Discretionary Occupational Sick Pay Scheme Introduction AIRDAT is a UK based systems, training & consultancy company providing services specifically to the Aviation sector. Our products relate to the management of training, assurance, compliance, fleet and auditing. In addition, AIRDAT offers airports an array of support services. AIRDAT is proudly an Employee Ownership Trust (EOT). Joining our Employee Ownership Trust means becoming an integral part of a company where your contributions directly impact our shared success. As an employee-owner, you'll have a stake in the company's achievements, fostering a collaborative and empowered work culture. Our commitment to shared ownership promotes a supportive environment where your dedication is rewarded, creating a fulfilling and mutually beneficial workplace. At AIRDAT, it’s all about life-work balance. Working only 4 days a week, you will get 22.5 holiday days and bonus time during the Christmas/New Year period too. The company also runs around 6 free ‘activity days’ throughout the year (including things like Go Karting, Off-Road Driving,Spa Day, Kayaking) - you can vote for other activities you’d like to do and you can book onto as many of these as you like (or not!) - plus our team Christmas Party. We operate a cycle to work scheme, ‘meet free Fridays’, a Private Healthcare Scheme, Discretionary Occupational Sick Pay and an EAP Scheme too. You’ll be provided with all the equipment you need and we reserve an annual budget to help improve skills and further your development too. In addition, all team members receive a purchasing card, so no using your own funds to make company purchases. As an integral part of our digital solutions team, you will be working on our three core digital products, including our mobile app, our public site and the development of new products and features. You’ll be empowered and working as part of a small, highly supportive agile team, delivering bespoke, complex systems to the aviation industry. Most importantly, we take our work seriously, but never ourselves. Our company values are Proactive, Evolving, Confident and Supportive - these should resonate with any potential applicants. Core Responsibilities Platform Reliability, Security & Governance Patch management across Windows/Linux servers; automate updates and manage maintenance windows and rollback plans. Security hardening: manage access policies, accounts, secrets and least-privilege controls across servers, DBs and AWS. User access security: maintain IAM roles and server/DB access, manage JML and periodic access reviews. Vulnerability management: operate and tune Intruder, Sophos and similar tools; triage findings and track remediation. Secure SDLC: maintain Snyk/SonarCloud integrations, alerts, thresholds and quality gates. CI/CD Own and improve TeamCity pipelines; troubleshoot agent, server and process issues; keep agent images current. Improve build stability and reduce QA/dev interruptions through proactive detection and pipeline optimisation. Extend release automation across all deployables, including mobile apps; standardise promotion flows with approvals and audit trails. Continuously optimise pipelines for speed, cost and reliability; maintain CI metrics and SLOs. Produce runbooks and documentation for CI/CD, branching strategy, release calendars and incident processes. Cloud Operations (AWS) Cost-aware architecture: right-size workloads, refine autoscaling and propose modern AWS services for performance/cost gains. Environment hygiene: maintain and sanitise EC2/AMIs/volumes/snapshots; enforce retention and naming/tagging standards. Network/perimeter: review and rationalise Security Groups and ingress/egress rules. Data lifecycle & backups: define/enforce retention for DBs/S3; manage backup/restore tests for data and deployment artefacts. Multi-region growth: extend and automate patterns for new clients/regions, including one-click tenant provisioning and CI/CD cost/config updates. Monitoring/alerting: maintain actionable dashboards and alerts across infra, CI and applications; reduce noise. Database Operations Improve MySQL performance (indexing, query plans, connections) and track changes via migration tooling. Implement data privacy practices: anonymisation, retention and related controls. Documentation & Compliance Maintain accurate documentation for servers, cloud architecture, CI/CD and operations. Contribute to security reviews/audits; ensure evidence capture (change logs, approvals, test results, DR/backup tests). Strengths & Behaviours Are you: Comfortable proposing better ways of working; thrives in a small, agile team. Works at pace with minimal supervision; dependable and delivery-driven. Automation-first mindset: scripting, config management. Observability fundamentals and practical alerting design. Excellent documentation skills and a security-first approach. Role Requirements Required Proven DevOps/Platform/Infra experience for .NET workloads in AWS. Strong Windows Server admin/patching; proficient with PowerShell and Bash. CI/CD expert (TeamCity, Jira) and skilled at pipeline debugging. Solid AWS knowledge: EC2, S3, Elastic Beanstalk, Route 53, Lambda, SNS, IAM, VPC/Security Groups. MySQL admin, tuning and analysis. Observability fundamentals and practical alerting. Desireable AWS certification. Experience with .NET Core deployments; REST/SOAP; blue/green or canary strategies. Familiarity with Snyk, SonarCloud, Intruder, Sophos. Mobile CI/CD (e.g. Bitrise). Experience with Atlassian tools and Git workflows. Exposure to SSO/identity (OIDC, OAuth2, SAML; e.g. Okta). Knowledge of cost-optimised architectures. DR planning experience. Benefits: Additional leave Bereavement leave Casual dress Company events Company pension Cycle to work scheme Enhanced maternity leave Enhanced paternity leave Flexitime Free parking Health & wellbeing programme Life insurance On-site parking Private medical insurance Profit sharing Sick pay Work from home Experience: DevOps: 2 years (required) Language: English (required)

Lead Gameplay Developer Location: Remote-first Type: Full-time Start: ASAP About Couch Heroes At Couch Heroes, we’re exploring new ground for the MMO genre. In a world where fantasy and ancient technology intertwine, players explore shattered realms, grapple across verticality, solve puzzles, and push back corruption, with progression driven by player expression and discovery. We envision bridging generations of gamers, creating a space where both coexist and journey together. We’re developing in Unreal Engine, in early production, with a team spanning multiple countries. We’re remote-first, based in the UK, and scaling to support a multi-year live-service roadmap. We value autonomy, curiosity, and collaborative ownership, and we’re looking for creators who want to help build something from the ground up. Sound like your kind of thing? We should talk. About the Job The systems that define how players interact with the world, each other, and the game’s core mechanics are built by gameplay engineers. We need a Lead Gameplay Developer who can own the technical implementation of our core gameplay systems and build the engineering team that delivers them. You will report to the CTO and manage a growing team of gameplay engineers. You will make technical design decisions, stay hands-on with implementation, and represent the gameplay engineering discipline across the studio in production planning, design reviews, and resourcing decisions. We are in early production. The studio has been running for three years, but core gameplay systems including combat, traversal, abilities, progression, and multiplayer interaction are still being architected and prototyped. You will be making foundational technical decisions that define how the game feels, scales, and evolves over years of live service. Your Role People Leadership and Team Development • Manage a growing team of gameplay engineers as the team scales through production: set priorities, assign work, balance workload, and run regular 1:1s focused on progress, career development, and honest feedback., • Lead performance reviews and goal setting aligned to production milestones and individual development plans. Identify skill gaps and address them through coaching, stretch assignments, or training., • Represent the gameplay engineering discipline in cross-discipline leads meetings, production planning, and resourcing conversations. Advocate for team needs and capacity., • Foster a team culture of technical rigour, clean code practices, and collaborative problem solving., • Support hiring as the team grows: contribute to job descriptions, design technical assessments, and participate in interview loops. Gameplay Systems and Implementation • Own the technical design and implementation of core gameplay systems in Unreal Engine 5, including combat, traversal, abilities, player interaction, and progression mechanics., • Architect gameplay systems for a persistent MMO context: server-authoritative logic, client prediction, ability replication, and state synchronisation across distributed server infrastructure., • Collaborate closely with game design and level design to translate design intent into robust, tuneable, and extensible gameplay code. Build systems that designers can iterate on without requiring engineering support for every change., • Stay hands-on with C++ and Blueprint implementation. Build, profile, and iterate alongside your engineers, establishing technical quality benchmarks and code architecture patterns., • Work with animation, VFX, and audio teams to integrate gameplay systems with presentation layers: ability visuals, hit feedback, audio cues, and UI responses. Technical Architecture and Performance • Define coding standards, architecture patterns, and review processes for gameplay code. Ensure the codebase remains maintainable and extensible as the team and feature set grow., • Profile and optimise gameplay systems for MMO-scale performance: tick budgets, replication bandwidth, ability processing in dense combat scenarios, and memory management., • Collaborate with online services and network engineering to ensure gameplay systems work reliably under real-world latency and server load conditions., • Work with production to manage scope, schedules, and task breakdowns for gameplay engineering work. Contribute to milestone planning, sprint scoping, and capacity forecasting., • Use playtesting observations and telemetry data to identify technical issues with gameplay feel, responsiveness, and fairness. Must-Haves • Proven experience in game development, with at least one shipped title in a gameplay engineering or gameplay lead role., • Proven experience of direct people management: running 1:1s, setting goals, conducting performance reviews, and developing team members., • Strong C++ proficiency with production experience in Unreal Engine, including Gameplay Ability System, replication, and Blueprint integration., • Experience building gameplay systems for multiplayer or online games, with a working understanding of server authority, client prediction, and state replication., • Demonstrated ability to translate game design concepts into well-architected, extensible, and performant code., • Strong communication and documentation skills, with proven experience collaborating across disciplines (design, art, animation, audio, network) to ship integrated gameplay features. Nice-to-Haves • Experience shipping at least one MMO or persistent online world from production through live service., • Experience with Unreal Engine’s Gameplay Ability System (GAS) at scale, including custom ability tasks, gameplay effects, and attribute sets., • Familiarity with AI systems for NPC behaviour, encounter scripting, or enemy design., • Experience with data-driven design approaches where designers author gameplay content through configuration rather than code changes., • Exposure to anti-cheat considerations and exploit mitigation in competitive or economy-driven multiplayer games. About You • You lead by investing in people. You find genuine satisfaction in watching your team grow and you actively develop the engineers around you., • You care about how systems feel to the player, not just whether they function correctly. Frame data, input responsiveness, and gameplay feel matter to you., • You are comfortable working through ambiguity. Early production means not everything is defined yet, and you see that as an opportunity to shape the right technical approach., • You balance technical elegance with delivery pragmatism. You know when to architect for the future and when to prototype quickly to validate design., • You work autonomously in a remote environment, proactively keeping your team aligned and your stakeholders informed., • We are committed to making our hiring process accessible. If you require reasonable adjustments at any stage, please let us know. Couch Heroes have partnered with Skillsearch on this hire. Jack is leading the search directly with the studio leadership, so feel free to reach out to him at . He will be your point of contact throughout. Looking forward to connecting! Equal Opportunities Couch Heroes is an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applications from all backgrounds and do not discriminate on the basis of age, disability, gender identity or expression, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex, sexual orientation, or any other protected characteristic. Privacy and data We process your personal data as part of the recruitment process. Couch Heroes and Skillsearch both act as data controllers in relation to your application. For details on how your information is collected, used, stored, and your rights under UK GDPR, please review the relevant Privacy Policies below: Couch Heroes: ___ Skillsearch: ___

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Ideal Background: This role is ideal for engineers who have worked at the frontier of AI — at companies like OpenAI, NVIDIA, Databricks, Palantir, Snowflake, or similar organizations pushing the boundaries of intelligent systems. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections across the full stack — in Python for backend and ML workflows, and JavaScript (React, Node.js) for frontend and API layers, alongside C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Work on AI model training initiatives by curating code examples, building solutions, and correcting code across both Python and JavaScript (React, Node.js), with additional work in C/C++, Java, Rust, and Go., • Evaluate and refine AI-generated code across backend and frontend contexts to ensure that it is efficient, scalable, and reliable., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents that can verify the quality of the code and identify error patterns across full-stack applications., • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them., • Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: • Several years of software engineering experience (3 years or more), • Strong expertise in building full-stack applications using Python and JavaScript (React, Node.js), with the ability to work across backend and frontend codebases., • Experience deploying scalable, production-grade software using modern languages and tools., • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment., • Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week, • Type: Contractor (no medical/paid leave), • Duration: 1 month (potential extensions based on performance and fit), • Location: Candidates must be based in the United States Evaluation Process: • The application process takes 15–30 minutes., • Completion of an AI video interview is required. Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network.

📱 Junior .Net Developer | Building the Future of Mobile !! IMMEDIATE JOINERS !! Junior .Net Developer (Android) Location : London Work mode : Onsite Experience: 2–5 years CITIZEN & DEPENDENTS Are you a mobile enthusiast who lives for clean code and smooth UI transitions? We are looking for a Junior .Net Developer (Android) with 1+ years of professional experience to join our engineering team. At this stage in your career, you’ve moved past "Hello World" and are ready to tackle real-world scalability, complex APIs, and the occasional Gradle headache. If you’re eager to learn from seniors while making a tangible impact on a product used by thousands, let’s talk. 🛠️ What You’ll Do • Feature Development: Collaborate with our product and design teams to build and ship high-quality features for our Android application., • Code Quality: Write clean, maintainable code in Kotlin (and some legacy Java) while following modern architectural patterns (MVVM/MVI)., • UI/UX Implementation: Turn Figma designs into pixel-perfect layouts using Jetpack Compose or XML., • Bug Squashing: Identify, debug, and fix performance bottlenecks and edge-case crashes., • Continuous Learning: Participate in code reviews, contribute to technical documentation, and stay up-to-date with the latest Android Jetpack libraries. ✅ What You Bring • Experience: 1+ years of professional experience in Android development (internships count if they were high-impact!)., • Language Proficiency: Strong foundations in Kotlin and a solid understanding of Java., • Android SDK: Familiarity with Activities, Fragments, Services, and Lifecycle components., • Networking: Experience working with RESTful APIs using Retrofit and handling JSON data., • Tooling: Proficiency with Git and a working knowledge of Android Studio., • Mindset: A "can-do" attitude and the humility to ask for help when a bug just won't budge. 🌟 Bonus Points if You Have: • A published app on the Google Play Store (send us the link!)., • Experience with Dependency Injection (Hilt/Dagger)., • Familiarity with Coroutines and Flow for asynchronous programming., • A passion for Material Design 3. 🚀 Why Join Us? • Mentorship: Work directly with Senior Developers who actually enjoy teaching., • Tech Stack: We stay on the cutting edge—no ancient legacy codebases here., • Growth: A clear path to becoming a Mid-level Developer within [Timeframe]., • Perks: [Insert Perks: e.g., Remote-first culture, Learning stipend, Health benefits].

Job Description: iOS Engineer at everyLIFE Position Type: Permanent. Location: UK-based Remote. Head Office located in Farnborough, Hampshire. Benefits include: 25 days holiday + 3 additional days over Christmas, early finish Friday, private medical insurance, life insurance, Cycle-scheme, free non-fiction book scheme. Working Hours: Full time Following the successful launch of PASSgenius™, our cutting‑edge suite of AI, data, and automation tools, we’re entering an exciting period of rapid growth. To accelerate what comes next, we’re searching for a full‑time iOS Engineer to join our fast‑moving, feature‑rich app team. The Role • Be part of a team of highly skilled engineers to deliver polished features on consistent basis in a high pace environment. We deploy code every two weeks to thousands of users., • Directly responsible for the development and deployment processes – make sure that the features are shipped optimally, and product stays healthy once they hit production., • Design, review, write and test code. This is hands-on engineering role, and you will be directly involved in the design and development of new features, writing, reviewing and testing code., • Insist on the highest standards and create functional and engaging features that will delight our users., • Provide feedback to teammates to make your team the best version of itself. Desired Skills • Bachelor’s degree in Computer Science or related field, or equivalent experience, • 4+ years of experience with iOS mobile app development, • Good working knowledge of iOS platform, Swift, GRDB, SwiftUI, Combine, • Good communication skills and the ability to work effectively in a remote team environment, • Attention to details – any code that makes it into the product directly impacts the lives of people being cared for, • Strong computer science fundamentals in object-oriented design, algorithms and data structures, • Self-starter, analytical and creative, • Strong team player with a positive attitude, • Experience writing clean, testable, high-quality code, • Good understanding of object oriented and SOLID principles, and clean code architecture, • Experience writing apps using The Composable Architecture, • Good experience with writing unit tests, • Familiar with git and/or git-flow, Bitbucket, JIRA, Confluence, Bitrise, Bugfender Bonus • Experience in Agile methodologies such as Scrum or Kanban, • Good knowledge of test automation using XCUITest, • Good understanding of material design and offline first UX/UI, • Knowledge of Android platform, Kotlin, Room, Coroutines, Koin Our mission is to create effective tools and services that release the potential of care teams. Established in 2014, everyLIFE Technologies is a fast-growth SaaS provider primarily to the UK social care market. We exist to support care services to be the best that they can be. We design, build, release, manage and support software and mobile applications that are crucial parts of the care being given to tens of thousands of people across the UK. We must get it right, every day! Our ideal teammates are thoughtful, humble, curious, achievement-oriented professionals who can both zoom into the details and zoom out to embrace the big picture. We are customer-led and always aim for the highest standard. We believe in being transparent in all our dealings; acting fairly, openly, and honestly in everything we do. Please note that this is a UK based role, and we are only able to accept applicants with the right to live and work in the UK without the need for sponsorship. If you are on a visa and interested in applying for this role, please contact us for further information. If you have any questions, please email Due to the high volume of applicants that we receive, we cannot always guarantee that you will receive a response.

Position Overview: SBS is seeking a skilled AI Engineer to join its Data & AI / Engineering organization in the UK or EU. This role will focus on designing, building, and deploying AI-driven solutions that enhance SBS products and client offerings. The ideal candidate will combine strong software engineering fundamentals with applied AI/ML expertise, enabling the development of scalable, production-grade AI systems in a regulated financial services environment. Location: UK or EU Hybrid/Remote: Remote (Occasional travel required) Responsibilities: AI Solution Development • Design, build, and deploy AI/ML models and intelligent applications across SBS platforms, • Develop solutions leveraging:, • Machine Learning (ML), • Natural Language Processing (NLP), • Generative AI (GenAI / LLMs), • Translate business requirements into technical AI solutions that deliver measurable impact Model Deployment & MLOps • Implement and manage end-to-end ML pipelines, from data ingestion to model deployment and monitoring, • Collaborate with DevOps and engineering teams to ensure scalable, reliable production deployment, • Maintain and optimize model performance, accuracy, and efficiency over time Product Integration • Integrate AI capabilities into core banking, payments, and digital platforms, • Work closely with Product Managers, Architects, and Developers to embed AI into customer-facing solutions, • Support API development and microservices architecture for AI-driven features Data Engineering Collaboration • Partner with data engineers to ensure data quality, availability, and pipeline integrity, • Work with structured and unstructured datasets across large-scale, distributed systems Innovation & Continuous Improvement • Stay current with advancements in AI, GenAI, and emerging technologies, • Contribute to experimentation, prototyping, and innovation initiatives, • Identify opportunities to improve automation, efficiency, and decision-making through AI Qualifications: Software Architecture & Design • Application architecture: Strong grasp of clean/hexagonal architecture, dependency injection, SOLID principles, and protocol-based interfaces. Can design well-structured Python services with clear separation of concerns, testable components, and maintainable codebases. This is not optional — the existing system follows these patterns, and new code must be consistent., • API design: Experience designing and maintaining RESTful API contracts. Understands OpenAPI specifications, versioning strategies, schema evolution, and backward compatibility. Can own the API surface that internal consumers depend on., • System design: Distributed systems thinking — understands event-driven patterns, asynchronous communication, eventual consistency, and the trade-offs of different integration approaches. Can reason about how components interact across service boundaries., • Data modeling: Can design domain models, define data flows between system components, and make pragmatic schema design decisions. Understands how data structures affect downstream consumers and the system's evolution. AI & LLM Application Skills • LLM application development: Hands-on experience building production applications powered by LLMs. Must go beyond API calls — RAG pipelines, chain-of-thought reasoning, structured output parsing, multi-step workflows. Candidates who have only fine-tuned models or only called a single provider’s API do not qualify., • Model-agnostic design: This is a sovereign AI system. The candidate must design against standardized API interfaces (OpenAI-compatible, LiteLLM, or equivalent abstraction layers), not couple to any single provider. Must understand model routing, fallback strategies, and how to build systems that can swap underlying models without application-layer rewrites. Experience limited to a single commercial API (OpenAI, Google, Anthropic) without abstraction is insufficient., • Agentic system design: Demonstrated experience designing multi-step AI systems where the model makes decisions about what to do next. This could be via LangGraph, CrewAI, AutoGen, custom agent loops, or any framework — the underlying patterns (ReAct, plan-and-execute, reflection) matter more than the tool., • Prompt engineering depth: Can demonstrate iterative prompt development for complex tasks. Understands few-shot, chain-of-thought, XML/structured prompting, and the behavioral differences between model families and sizes. Critically, understands that prompt strategies must adapt when moving between frontier and smaller OSS models. Python Engineering Production Python: Strong async Python with FastAPI or equivalent framework. Comfortable with Pydantic for data validation, SQLAlchemy for data access, and structured logging (structlog). Writes clean, testable, well-documented code with proper type hints. This is a software engineering role that builds AI systems — not a data science role that happens to write Python. Safeguards for hallucinated tools, loops, partial completion, and unsafe actions. Understands async trade-offs, batching, streaming, and latency accumulation Engineering Qualities • Works within existing systems: The candidate joins a substantial existing codebase and architecture. They must be comfortable reading, understanding, and extending code they did not write — not lobbying to rewrite it., • Production mindset: Thinks about error handling, retry logic, graceful degradation, observability, and security as first-class concerns. Understands that agentic autonomy creates new failure modes that must be anticipated., • Clear communicator: Can explain technical trade-offs to non-technical stakeholders. Can write clear design documents. Can articulate why an agentic approach is or is not appropriate for a given problem. Company Overview At SBS, we’re more than just a technology company; we’re a global fintech partner helping banks and financial institutions transform, innovate, and grow. With over 5,000 employees worldwide and clients in more than 80 countries, our solutions power everything from digital banking and lending to payments and core banking systems. As part of 74Software, we’re backed by a group of leading software companies delivering mission-critical solutions worldwide. Our focus is on delivering long-term value, leveraging cutting-edge technology, and fostering strong client partnerships. Join us and be part of a collaborative, forward-thinking team shaping the future of finance. Why SBS? At SBS, we’re committed to supporting our employees in every aspect of their lives, from health and wellbeing to financial security and lifestyle perks. We offer benefits that help you thrive at work and beyond, including health coverage, retirement plans, paid time off, flexible work options, career development, competitive pay, and global culture perks. Equal Opportunity Employer We are committed to providing equal opportunities and ensuring a fair and inclusive recruitment process. We do not discriminate on the basis of age, disability, gender, sexual orientation, race, religion, or any other protected characteristic.

Position: Refrigeration Design Engineer (Industrial Refrigeration) Contract: Permanent, Full Time Location: Remote - Based anywhere in the UK (Head office is based in Leicestershire) Salary: up to £75K plus company car or cash allowance & benefits & performance bonus Industry: Industrial Cooling & Refrigeration – Food/FMCG, Cold Storage & Logistics, Data Centre PRS Engineering has engaged with a key client and a leading Industrial Cooling & Refrigeration specialist operating and delivering high value projects across the UK with headquarters based in Leicestershire. Due to team expansion and winning new projects, we are seeking an Industrial Design Engineer with a background in Ammonia, CO2 Systems, Industrial Cooling Technologies &/or Industrial Refrigeration to support business requirements and oversee key projects. This is a remote working role with occasional attendance at the Leicester office will be required as will site visits and site surveys. The Role: To design and propose industrial refrigeration systems for food manufacturing facilities and logistics cold storage centres. Detailing costs and designs to customers while meeting legislative and customer-specific requirements. To create comprehensive designs from initial briefs and/or drawings, whilst adhering to the latest company and industry standards. Produce detailed design work, consisting of but not limited to: cold room and facility heat load calculations, equipment selections, pumped circulation system design, P&ID development and approvals, concept design presentations, sales stage design applications, engineering specification sheets, pipework isometric drawings, and pipe sizing for ammonia refrigeration systems. This is a remote working role, but attendance at the Leicester office will be required as will site visits, surveys, and client presentations. Main Responsibilities • Carry out site surveys where required, • Generate and update enquiry bank, • Attend customer scoping and design meetings where required, • Produce initial outline design/scope, • Produce Design File (electronic or hard copy) in line with ISO 9001 standard, • Produce detailed design post sales stage and convert into live project for delivery team, • Conduct heat load calculations, produce engineering sheets and pipework isometric, • drawings, equipment selections and pipe work sizing, • Produce supplier/sub-contractor enquiries for quotations, • Produce data for Design of Contracts project handover including: Equipment/supplier/sub-contractor procurement schedule, identify PED category of system and inform compliance team if CAT 4, calculate system refrigerant charge, produce high level program of works and high level phasing with support of delivery team, • Raise Contract Approval Form to enable project to be booked on system, • Mark up drawings and issue to CAD department to produce, • Attend site at least once during project installation period, to carry out design review, • Assist PM during delivery phase for design queries, • Maintain excellent service levels at all times, ensuring a “first Class” service to all customers, • Take on projects as and when required and see them through to successful completion Financial • Produce estimates in line with customer budgets and to agreed company margins, • Produce formal scope of works and formal quotations, • Assist CM with project variation design and costs All contracts over £500k to have contract/design review with senior member of staff, • To identify means of generating extra revenue through new initiatives (forward thinking) People • One to one session with line manager once a quarter, • To treat other colleagues, managers, customers and other stakeholders equally and with courtesy and respect at all times, • Where possible - to assist others with tasks that may be outside of the scope of your role, • To assist with coaching other colleagues/managers, for cross training purposed in your area of expertise Compliance • Ensure that all relevant company and legislative policies and best practices are adhered to and always maintained, • Inform the relevant Manager of non-conformances and ensure that corrective action is taken, • Ensure compliance with all procedures throughout within your remit, • Produce Design File (electronic or hard copy) in line with ISO 9001 standard, • To ensure Refrigeration industry codes and standards are upheld, • To comply with environmental policies and putting forward new ideas for, • improving environmental efficiencies., • Adhere to Group H&S procedures with due regard for business constraints and efficiency

Job Role: Senior Civil Estimator Location: Remote (UK) with occasional site visits Rate: £60ph - £65ph About the Role: An established engineering and environmental consultancy is looking to appoint a Senior Civil Estimator to strengthen and develop its estimating capability in line with continued growth across major infrastructure and water sector projects. This role will focus on supporting long-term framework opportunities across leading UK utilities, delivering Design & Build and Asset Health projects, as well as contributing to future industrial water opportunities. Predominantly remote, the position offers flexibility while also providing the opportunity to visit project sites when required. You will play a key role in enhancing the resilience, capability, and performance of the estimating function. As a Senior Civil Estimator, you will bring both technical and commercial expertise, helping shape project scope, programmes, and cost solutions that are sustainable, efficient, and aligned with client expectations. Key responsibilities include: • Producing detailed discipline-specific estimates, including take-offs and Bills of Quantities (BOQs), • Reviewing and challenging project solutions to ensure robust and accurate cost outputs, • Collaborating with engineering, commercial, and estimating teams to develop integrated solutions, • Managing supply chain enquiries, evaluating returns, and preparing bid comparisons, • Compiling estimate reports and submission documentation for internal and client review, • Supporting the transition of estimating data into project delivery teams, • Building strong working relationships with clients and supply chain partners, • Contributing to risk and opportunity assessments within estimates, • Ensuring compliance with health, safety, and environmental standards, • Capturing lessons learned and improving future estimating practices, • Maintaining and developing cost databases, rate libraries, and cost models, • Driving continuous improvement across estimating processes and data quality About you: • Demonstrable experience in civil engineering estimating within infrastructure or utilities sectors, • Strong knowledge of first-principles estimating and cost planning methodologies, • Experience across multiple project stages, from early feasibility to detailed tender submissions, • Familiarity with estimating software (ideally CCS Candy or similar), • Solid understanding of construction methods, design principles, and buildability, • Ability to assess and incorporate risk and opportunity into cost estimates, • Excellent communication skills with the ability to engage across multidisciplinary teams, • Highly organised with the ability to manage multiple deadlines effectively, • Strong commercial awareness and a collaborative approach to project delivery, • Experience within the water sector is advantageous but not essential Reach out to Charlie Knight @ Advance TRS to find out more about this exciting opportunity and take the next step in your career

Protein Works is a high-growth DTC nutrition brand with a clear mission: help people live healthier, happier lives through the power of nutrition. Protein Works is a brand with a genuinely loyal community, strong product-market fit, and real growth ambition. Retention is not a support function here - it's a commercial lever, and this role has full ownership of it. You'll be the first person to build this function, with AI at its core from day one. That means real scope, real budget, and real impact on the P&L - not a mandate to run email campaigns and report on open rates. The customer base is large, the data is rich, and the opportunity to compound LTV. If you want a role where retention is taken seriously as a growth driver, this is it. You'll lead our retention strategy with AI at the centre - using intelligent tooling to personalise lifecycle communications, predict churn, and drive LTV at scale. Subscription growth is a core commercial priority, and this hire will shape how we win, retain, and grow it. Success means customers buy more often, stay longer, and choose us over every competitor in their feed. What You'll Own • Own and grow subscription revenue - acquisition into programme, activation, and long-term retention, • Drive LTV across all our of core products, through tailored lifecycle strategies, • Lead CRM end-to-end: flows, segmentation, campaigns, and triggered comms acr...

AI Engineer Liverpool (Hybrid - 2 days per week in office) Basic salary circa £75k This AI Engineer position sits within a forward-thinking technology team focused on using AI and automation to improve efficiency, quality, and user experience across the organisation. As an AI Engineer, you'll focus on designing and implementing AI-first workflows, building intelligent agents, and integrating them into core business systems. The work is varied - ranging from generative AI use cases through to workflow automation and system integration - always with a focus on delivering measurable outcomes. You'll operate as an AI Engineer who can take ideas from concept through to production, working across stakeholders, data, and systems to deliver solutions that are both technically sound and commercially valuable. AI Engineer - Key Requirements: • Experience developing and deploying AI-powered workflows or intelligent automation, • Hands-on exposure to tools such as Azure OpenAI, Copilot Studio, or similar platforms, • Understanding of generative AI approaches, including prompt engineering and RAG, • Experience integrating enterprise systems via APIs and connectors, • Familiarity with Power Platform (Power Automate, Power Apps), • Awareness of governance, security, and data protection considerations, • Strong proble...

Data Analyst Course Programme – Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as £142 per month. The Programme Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions. The Outcome 93% of graduates secure data analyst roles within 3 months. Starting salaries: £28,000 – £38,000 Who This Is For The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.

Meet Eloquent AI (YC X25) At Eloquent AI, we’re building the next generation of AI Operators—multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision. Our technology goes far beyond chat: it sees, reads, clicks, types, and makes decisions—transforming how work gets done in regulated, high-stakes environments. We’re already powering some of the world’s leading financial institutions and insurers, fundamentally changing how millions of people manage their finances every day. From automating compliance reviews to handling customer operations, our Operators are quietly replacing repetitive, manual tasks with intelligent, end-to-end execution. Headquartered in San Francisco with a global footprint, Eloquent AI is a fast-growing company backed by top-tier investors. Join us to work alongside world-class talent in AI, engineering, and product as we redefine the future of financial services. About the role: As a Senior Full Stack Engineer at Eloquent AI you will be at the forefront of building and scaling AI-powered applications, transforming how enterprises interact with intelligent agents. You’ll work across the entire stack, developing high-performance front-end experiences and scalable back-end systems that power real-time AI-driven workflows. This role requires strong software engineering skills, a deep understanding of full-stack development, and the ability to work in a fast-paced, AI-first environment. You’ll collaborate with engineers, AI researchers, and product teams to build enterprise-grade solutions that enable seamless AI-human interactions. You will: • Design and build full-stack applications that power AI-driven workflows for enterprise users., • Develop high-performance front-end interfaces for AI agent control, monitoring, and visualisation., • Build scalable backend services that support real-time AI interactions, knowledge retrieval, and automation., • Optimize AI-powered UIs to ensure seamless and intuitive user experiences., • Work closely with AI researchers and ML engineers to integrate LLMs, RAG, and automation into production-ready systems., • Ship robust, minimal-dependency code that performs efficiently in enterprise environments., • Continuously iterate and refine AI-driven products, balancing user needs with technical feasibility. Requirements: • 7+ years of hands-on experience building full-stack production applications., • Proficiency in React, TypeScript, and Node.js., • Backend experience using Python., • Strong knowledge of cloud infrastructure (AWS, GCP, or Azure) and scalable architectures., • Ability to work in a fast-paced, high-autonomy environment - early-stage startup experience would be awesome., • Strong collaboration skills across engineering, product, and AI teams. Bonus Points If… • You have experience building AI-powered applications with LLM integrations., • You’ve worked in high-performance startups or enterprise AI environments., • You have a sharp eye for UI/UX design and have built intuitive, AI-driven interfaces., • You have experience with GraphQL, WebSockets, or real-time data streaming., • You’ve contributed to open-source projects or have built developer tools for AI. Whats on offer: • Salary up to £120k., • Meaningful early equity., • Remote-first setup anywhere in the UK, with occasional trips to meet up with the global team., • A chance to work with some of the smartest and most dedicated engineers and leaders you'll find anywhere.

Consultant – Transmission Planning & Interconnection Strategy Title: Power Systems Consultant (Part-time, 10 hrs/week) Compensation: $150 per hour Objective: Encode power feasibility, timeline, and risk into Nyxium’s decision engine About Nyxium Nyxium is a London-based deep tech company backed by top-tier investors, building an infrastructure intelligence platform for siting and deployability decisions across data centers and energy infrastructure. We are seeking a Senior Power Systems Consultant to strengthen our grid access predictive capability, perform technical modeling, and elevate our grid intelligence beyond basic GIS mapping. The work will be conducted over six weeks, with clear deadlines and deliverables to ensure focus and impact within Nyxium’s ecosystem. Must-Have • 7+ years in utility / TSO / grid planning and operation, • Direct experience with data center or large industrial loads (≥20 MW), • Hands-on with:, • Interconnection process (queues, studies, upgrades, capacity extension), • Substations / transmission levels (HV/MV), • Geography: US or Europe (ideally both exposure) Expectation Define a rule-based system that enables Nyxium to reliably determine whether a site can obtain power, on what timeline, and what constraints may prevent it. The consultant will define the rules once, and Nyxium will apply them automatically across thousands of sites using geospatial data and scoring logic. Scope of Work Grid interconnection Feasibility proxies (Week 1) You will define indicators and heuristics for grid interconnection that Nyxium can compute as proxies for interconnection feasibility. The work will begin with data centers, and the methodology will be expanded in week 4 to additional markets, including battery energy storage and renewables. These proxies will be used to evaluate whether a site can be connected to the grid. They must include indicators of what makes a site power-viable versus non-viable, integrating key constraints such as: · substation and transmission access proximity · generation and load density · voltage level · existing and historical interconnection queue These indicators and heuristic rules will be used to construct a power readiness score, with components that reflect structurally favorable or unfavorable conditions for power supply or grid connection at specific sites, such as indicative spare capacity. They should also propose hard no-go rules that depend on the asset class, for example, “> X km from ≥132 kV → NO for ≥50 MW data centers,” as well as upgrade classes (minor works versus transmission upgrades required and/or new substation build-out). In addition, they should specify, where appropriate, the required inputs Nyxium must collect. Timeline Model (Week 2) On week 2, you will expand upon the first week’s methodology to translate real-world grid behavior into usable timelines. You will define: · Time-to-power classes for each site (e.g. T1: 0–2 yrs, T2: 2–4 yrs, T3: 4–7 yrs) · What conditions lead to each timeline · Typical envisioned upgrade pathways (e.g. transmission expansion vs new substation) and associate costs With this work, we should be able to produce a structured mapping from site characteristics to timeline estimates. The mapping rules (if/then) may be based on factors such as voltage level, region (US/EU), upgrade class, load density, renewable and data center density, and congestion proxies. An estimate of the confidence associated with each proxy and approach must also be provided (e.g., high / medium / low), depending on data caveats and other well-justified dimensions. Red Flags & False Positives (Week 3) By week 3, the methodologies should be safeguarded against hidden blockers. Based on the proxy models developed, critical risk patterns and common failure cases must be well documented. You will define: · Indicators and heuristics that provide early signals such as “site appears viable but cannot realistically secure capacity,” or “upgrade requirements will delay the project beyond viability.” · A list of red flags and decision rules to detect “looks good but will fail” patterns (e.g., “near substation but no spare capacity typical in the region”), along with associated data caveats. · A set of systematic viability checks to be performed before recommending a site. Battery Energy Storage System and Renewable energy Variants (Week 4) In week 4, the models will be reused and expanded to cover battery energy storage systems and renewable energy assets. Indicators and heuristics for the co-location of data centers with these assets will also be developed. The outputs for this week will be: · Novel adjusted weights for: • Grid access, • Land constraint / cooling, • Additional flags:, • interconnection value zones (e.g., high-density of negative prices, curtailment), • co-location viability with data centers Validation (Week 5) You will review real site outputs from Nyxium and answer: • Would you proceed with this site?, • What is missing or incorrect? Integration Requirements Consultant must provide: • Rule tables (clear thresholds), • Weightings (e.g., substation proximity = 30%, voltage = 30%, etc.), • Decision tree (if/then logic), • Examples (good vs bad sites) What success looks like By the end of week 6, the Power Readiness Score and timeline classes must be live in the product. Greater than 80% agreement between consultant judgment and the model across 10 validation sites must be demonstrated, and the decision output must be enabled as: Deployable / Conditional / Not Deployable (power-driven). The methodology and code must be clearly documented, transparent, and reproducible, with a Python-based approach preferred and aligned with industry best practices.

You'll be a senior developer on our in-house travel management platform, working across the full stack — from React frontends to Node.js APIs and background processing services that handle live travel data. The platform spans Linux and Windows environments, including containerised services running on Docker. The role involves real-time problem diagnosis, complex data transformation across multiple databases, and a high degree of autonomy. You'll be expected to own technical decisions, independently investigate and resolve issues across the entire stack, and operate as a trusted point of escalation when things go wrong. This is a hands-on technical role with genuine responsibility. About Us: CTM is an award-winning provider of innovative and cost-effective travel management solutions to the corporate market. Our proven business strategy combines personalized service excellence with client-facing technology solutions to deliver a return on investment to our customers. Headquartered in Australia, we provide local services solutions to clients across the globe. Skills & Experience : • 3+ years commercial experience with Node.js and TypeScript, • Strong SQL skills — complex queries, relational schemas, multi-database environments (PostgreSQL and/or MS SQL Server), • React (hooks, functional components), • Experience transforming and mapping complex data structures (XML, JSON), • Git — confident with branching, conflict resolution, • Familiarity with NestJS, tRPC, or similar API frameworks is a strong plus, • Experience with background processing patterns (queues, cron jobs, webhooks) is highly valued Key Responsibilities: • Build and maintain features across React frontends and Node.js/NestJS APIs, • Develop and support background processing services that ingest and transform travel data from external systems, • Write and optimise complex SQL across PostgreSQL and MS SQL Server databases, • Investigate and resolve production issues end-to-end — from browser through API to database and background processors, • Drive forward platform modernisation initiatives as they are prioritised Please note that this role requires a security clearance process (you must have lived in the UK for 5 consecutive years to be eligible) and a DBS check. Do not apply if you are not willing to undergo these conditional background checks, this continually applies during the course of your employment. You can read about SC on the government site - ___ Join our crew and help CTM take flight. Apply now and pack your skills for a business travel journey that promises growth, discovery and plenty of first-class moments. What to expect from the recruitment process : • Every hire starts with a chat with our Talent Acquisition team, if your profile is selected you will be contacted by phone or email (please check your spam folder);, • Then, if you are progressing, the hiring manager will invite you to an interview, usually on Teams;, • If you are successful we will invite you to our office for a final stage interview. Wherever possible we will provide you with feedback, however we are a small team and often we won't be able to do so until after we fill the vacancy. CTM is a responsible employer and is dedicated to conduct thorough right to work checks in the interests of both parties, candidates and the company. Candidates selected and invited to an interview will be invited to a mandatory 15 min call with the TA lead to produce their RTW documents. This call is a mandatory step for all candidates regardless of their RTW status. This call is confidential and conducted by HR professionals only. CTM is an equal opportunity employer. We want to make sure our entire recruitment process is accessible to everyone. If you need accommodations at any stage of the application or interview process, please let us know: as a Disability Confident Employer, we’re here to support you in any way we can. Do not hesitate to connect with our Recruitment team if you need to discuss arrangements. Reward & Recognition Our learning platform CTM Learning, our annual conference the All Stars, our High-Performance programme and a global leadership programme. Employee Wellbeing and Flexibility Our wellbeing platform Vitality, our Employee Assistance Programme (EAP), our new private healthcare Medicash + our mental health first aiders. Most of our roles offer a hybrid working pattern, with 3 days per week in the office. Where permitted and depending on the role, we can offer flexible start and finish times to suit your other commitments and support a healthy work-life balance. We are committed to finding a setup that works for you and the business. Sustainability Focus Principles of Governance, People, Planet, and Prosperity, CTM’s Sustainability Strategy identifies material issues and outlines initiatives to achieve this. CTM is the Data Controller with respect to the personal information you provide during your application. We will use this information solely to process your application, and our legal basis is that you are considering taking up an employment contract with us. We may share this information with our parent company in Australia, but otherwise we will not disclose it to any other organisation. If you take up employment with us, we will keep the information for the duration of your employment, otherwise we will destroy it 2 months after the post is filled. All the information that we ask for in application forms has to be completed for your application to go ahead. There is no profiling or automated decision making applied to the personal information you supply. You have all the legal rights with your personal data as laid out in the General Data Processing Regulation (GDPR) and the Data Protection Act 2018, including the right to complain to the Information Commissioner’s Office. Our Data Protection Officer may be contacted at

Data Analyst Course Programme – Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as £142 per month. The Programme Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions. The Outcome 93% of graduates secure data analyst roles within 3 months. Starting salaries: £28,000 – £38,000 Who This Is For The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.

About the job Job summary Discover a career in your hands at HMRC. Whether you're seeking purpose, growth, or a workplace that gives you a true sense of belonging, hear from some of our employees as they share their story about what it's really like to work at HMRC. Visit our YouTube channel to watch the full series and come and discover your potential. Please note, this recruitment process will include a face-to-face interview conducted at HMRC Regional Centre, 3 New Bailey, Salford. The Data Science team sits within HMRC's Chief Digital & Information Office (CDIO) and delivers innovative analytical and machine learning solutions that address real operational challenges. As part of this team, you will contribute to high-impact work that directly improves HMRC's effectiveness and customer outcomes. Job description This is an exciting opportunity for a Principal Data Scientist to join the Analytics Team - one of four specialist Data Science teams in HMRC's technology area. The team builds innovative data science solutions that solve real business problems by exploiting HMRC's rich and complex datasets. As HMRC's Centre of Excellence for narrow Artificial Intelligence (AI), the team uses machine learning techniques to build robust, ethical, and high-performing models that support better decision-making and improve targeting. Projects span a wide range of operational areas, including supervised ML for risk targeting, linking disparate datasets to identify potential fraud or non-compliance, extracting insights from non-standard data sources, and developing analytical dashboards and applications. This role enables HMRC to make better use of compliance and other underutilised data by surfacing relevant data and developing new insights through visualisation, advanced analytical methods, and innovative data extraction approaches. You will work closely with subject matter experts and operational teams, ensuring the right data is made available and understood, to deliver high-quality compliance-related data. You will also help scope, design, and deliver developments using project-based working techniques, while providing advice on advanced analytical techniques across HMRC and wider government. Person specification We are looking for an experienced, proactive data scientist who is an innovator in the technology stack. You will take responsibility for leading the development one of HMRC's best-used internal applications from a data and technical perspective. You will bring strong technical expertise, practical experience of building and deploying applications that many use to enable insights from information provided. You will: • Maintain, develop and deploy R-Shiny applications that assist HMRC in targeting and decision-making., • Explore innovative use of new technologies within HMRC's cloud-based technology stack to improve delivery of this application and others. Challenge others on inappropriate use of various technologies., • Prepare and analyse large datasets using robust coding practices and reproducible workflows, including utilising Git and Denodo., • Investigate, source and manipulate complex, disparate and sometimes unstructured datasets to provide meaningful insights from HMRC's myriad of data., • Collaborate with operational and policy colleagues to understand relevant business needs and ensure developments support operational priorities., • Provide advice, guidance, and peer support to colleagues on the use of advanced technical techniques., • Data engineering - Understanding of a broad range of architectures, including cloud and on-premise, and data manipulation and transformation tools deployed within the organisation, e.g., Git and Denodo. Can use these tools appropriately and help others use them., • Applied maths, statistics and scientific practices - Understanding of a broad range of statistical tools, particularly those deployed within the organisation, and can use these appropriately and help others to use them., • Understanding product delivery - Work with specialists in multidisciplinary teams to smoothly deliver data science products into a complex organisation., • The Data Scientist skills required are taken from the Government Digital and Data Profession Capability Framework (Principal Data Scientist, Grade 7): Data scientist - Government Digital and Data Profession Capability Framework, • GORS framework (Government Operational Research Service - GOV.UK): eligibility is a minimum 2i numerate degree or Masters with at least 50% numerate coverage., • Leadership, • Programming and Build, • Data engineering, • Applied maths, statistics and scientific practices, • Pension - We make contributions to our colleagues' Alpha pension equal to at least 28.97% of their salary., • Family friendly policies., • Personal support., • You will be required to complete a Civil service Numerical Test after completion of the short application form. If you do not pass this test your application will not progress., • A name-blind CV including your job history, relevant skills and key achievements from your career which reflects the requirements of the role outlined above. Provide specific instances from your career detailing successes. Your CV should cover up to a maximum of your last 3 roles. The word limit for each role is 100 words., • A 1,000-word Personal Statement. Your Personal Statement should be used to describe how your skills and experience from your career reflect the Essential Criteria of the role. You should write 250 words against each of the four Essential Criteria outlined in the Person Specification, use specific examples from your career to demonstrate how you meet the following Essential Criteria. 1. Programming and Build, 2. Data engineering, 3. Applied maths, statistics and scientific practices • Leadership, • set at the same job level, and, • UK nationals, • nationals of the Republic of Ireland, • nationals of Commonwealth countries who have the right to work in the UK, • nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre-settled status under the European Union Settlement Scheme (EUSS) (opens in a new window), • nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre-settled status under the European Union Settlement Scheme (EUSS), • individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020