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About Wilgot Wilgot is building the category-defining Agentic Product Optimization (APO) platform for e-commerce. We are addressing the "adapt-or-die" reality that brands face as search shifts from keyword-matching to AI-driven discovery in interfaces like ChatGPT and Google AI Mode. Recognized by Dawn Capital as one of the top AI startups redefining e-commerce, our platform automates the repositioning of product catalogs for global, recognized brands, ensuring every product finds its buyer through intelligent content. What we do Wilgot provides the intelligence layer that transforms "thin" metadata into Intelligent Content optimized for the era of Agentic Commerce. Our Core AI Loop: • Discover: Leverage AI and data analysis (customer queries, first-party data, Google, ChatGPT, Perplexity) across 100+ markets to identify hidden demand, language attributes, and purchase signals. This phase focuses on turning raw data into clear, actionable content strategy., • Generate: Build and deploy systems that create high-quality, structured, and intent-aligned product content (titles, descriptions, attributes, FAQs) natively in 100+ languages. The goal is to optimize content for both user conversion and interpretation/recommendation by AI search systems., • Iterate: Design and manage a continuous feedback and optimization system. Monitor product performance across major search platforms, then programmatically regenerate and improve content based on visibility, engagement, and conversion data to maintain optimal relevance and discoverability. The Role Having validated our proprietary AI engine, we are now scaling it into a sophisticated, autonomous agentic platform. As a Senior AI Engineer, you will transition from AI theory to solving tangible, high-scale engineering challenges. You will work alongside our founding team and our Founding AI Scientist (PhD in Reinforcement Learning) to translate cutting-edge research into enterprise-scale production features. Key Responsibilities • Scale Agentic Architectures: Advance existing workflows into multi-agent systems capable of autonomous reasoning, state management, and self-correction., • Model Development & Fine-Tuning: Lead the full lifecycle, from designing training strategies and curating high-quality datasets to executing model fine-tuning., • Advanced Feature Engineering: Build pipelines that leverage LLMs to extract latent product attributes and consumer intent signals from unstructured data., • System Observability & Reliability: Implement evaluation frameworks to monitor model performance, hallucination rates, and direct business impact., • Technical Leadership: Influence our technical stack and help define the engineering culture of a rapidly scaling startup. Requirements • Technical Depth: Extensive ML engineering experience with a deep understanding of LLM architecture, training and fine-tuning (you don't just call APIs). You know how to use AI to generate features that drive performance, moving beyond basic metadata into deep semantic understanding., • Agentic Systems: Proven experience with agentic frameworks (e.g., LangGraph, PydanticAI) and managing memory and tool-calling in production., • Engineering Mindset: Ability to write clean, testable Python and familiarity with modern MLOps stacks., • Product Experience: Experience shipping ML systems in production for real users, with an experimental mindset and high bar for AI ethics. Why Join Wilgot? • Practical AI at Scale: Solve real-world, high-scale AI problems for global brands., • High Impact Team: Join a small, lean, high-growth team. You'll have significant influence on the technical stack and trajectory with no bureaucracy. You aren't joining a machine, you are part of building it., • Flexible Remote-First: Work remotely with autonomy, prioritizing deep work. Or from one of our hubs in Stockholm or London. We promote in-person collaboration with regular full-team offsites., • Generous Ownership: Receive a generous equity package, ensuring true ownership and a significant stake in the company's value as we scale globally., • Your choice of equipment: We provide a top-tier tech budget for your preferred hardware and home-office setup, ensuring you have the best tools for the job.

Senior Software Engineer Location: London (x3 days a week onsite) Salary: Up to £80k DOE Type: Perm Job Description We are looking for a passionate Senior Java Engineer in London to lead the design and development of core product features and services that power an app used by thousands of travellers on a daily basis. As a Senior Java Engineer for an loyalty program team, you will have the opportunity to make a massive impact on traveller's behaviour and booking experience. Specifically, you’ll be responsible for driving improvements to loyalty offerings that enable millions of business & leisure travellers. What You’ll Do: • Designing and implementing APIs and core services, • Developing models and business logic, • Building out impactful product features, • Ensure the quality of the features you built, follow-up on usage/issues post release., • Work closely with product and design team to deliver new features that align with the needs of the business, • Provide technical leadership and mentoring to other engineers on the team, • Contribute and drive frameworks that lead to significant user experience improvements, • Assist the team in understanding and adopting new technologies What We're Looking For: • Strong programming skills and CS fundamentals combined with 5+ years of experience building products, • Deep architecture and API design skills to build core services and new product features, • Strong sense of ownership demonstrated through shipping production-quality code equipped with testing, monitoring and documentation, • Passion for solving problems and learning new tools and technologies, • Excellent communication skills working with stakeholders and domain experts across the company to design solutions to user problems, • Ability to thrive in a fast-paced environment, • Prior experience working at startups and/or on consumer-facing products, • Experience with Java, AWS and/or distributed systems is a plus, • Experience with Hibernate or similar ORM technologies is a plus, • Experience with Spring Framework is a plus

Quantitative Developer – C# / Python London | Full-time The mission Join a leading quantitative research and trading firm using heavy compute and modern engineering to tackle some of the hardest problems in systematic finance. You’ll sit close to the money, turning cutting‑edge research into production systems that run at scale in global markets. The role This is a hands‑on engineering role working side‑by‑side with quants. You’ll design, build and optimise trading, simulation and research systems in C# and Python, with huge emphasis on performance, reliability and clean architecture. What you’ll do • Build and evolve trading systems that run 24/6 with real capital at stake., • Develop modelling and simulation frameworks that quants use to test and refine strategies., • Improve research tooling and workflows so ideas move smoothly from prototype to production., • Push performance and scalability in core services, unlocking new research and trading capabilities., • Take end‑to‑end ownership of projects, from design through to deployment and iteration. What you bring • Strong software engineering fundamentals: algorithms, data structures, architecture., • Commercial experience in C# and/or Python, ideally on complex, high‑performance systems., • Interest in quantitative finance and how engineering accelerates research and trading., • Comfort working closely with stakeholders, prioritising impact and communicating clearly. Why you might care • Work at the intersection of advanced research, serious engineering and real‑world markets., • Industry‑leading compensation, deep technical culture, serious investment in tools, learning and long‑term career growth.

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

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network The next step is to ___. Job Description: As the Engineering Manager at Vega, you will spearhead the technical evolution of a high-growth fintech platform. You will oversee 2–3 backend squads, shaping long-term microservices architecture using Java 21 and AWS. This role balances strategic technical leadership with hands-on mentorship to drive engineering excellence, security, and scalable system design. Why this role is remarkable: • Lead the architectural transition of a high-stakes fintech platform using a modern Java 21 and Kubernetes stack., • Join a high-growth venture backed by world-class investors during a critical phase of platform expansion and scaling., • Enjoy significant ownership over the engineering culture, with the autonomy to set standards for observability, resilience, and security. What you will do: • Provide technical leadership to multiple backend squads, guiding decisions on microservices modularity, system boundaries, and resilience., • Define the long-term technical roadmap and backend standards across the organization to ensure consistent engineering quality and delivery., • Mentor and grow senior engineers into technical leaders, helping shape career paths and a culture of high-performance and cross-team learning. The ideal candidate: • Possesses 10+ years of engineering experience with a deep mastery of modern microservices architecture and distributed systems., • Has a proven track record of leading multiple teams within cloud-native environments, specifically utilizing AWS, Kubernetes, and Spring Boot., • Demonstrates excellent communication skills to bridge technical trade-offs with product priorities for both technical and non-technical stakeholders. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI Career Agent that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Step 1. Visit ___. Step 2. Click 'Talk to Jack'. Step 3. Talk to Jack so he can understand your experience and ambitions. Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role. Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. Step 6. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. We are looking for the Senior Perception Engineer - Spatial Understanding & Navigation to join our team based in London, UK. What You'll Do • Develop next-generation spatial understanding systems for robot locomotion and manipulation, integrating perception and high-level reasoning., • Work on open-ended navigation powered by Vision-Language-Action (VLA) models — enabling robots to understand context, predict intent, and act in complex, dynamic environments., • Design and scale auto-labeling and large-scale data pipelines to train and evaluate multimodal models for navigation and interaction., • Develop and implement scene understanding and 3D reconstruction methods that give robots persistent spatial memory and geometric awareness., • Collaborate with cross-functional research and engineering teams to bring large vision-language models into real-world robotic systems., • Stay ahead of the field — rapidly evaluate new model architectures, benchmarks, and datasets to guide our embodied AI roadmap What We're Looking For • Deep experience in machine learning for vision or embodied AI, ideally with large models (VLMs, VLAs, transformers, diffusion, or multi-modal architectures)., • Strong background in scene understanding, spatial reasoning, or 3D reconstruction from visual data., • Proficiency in PyTorch and hands-on experience building, fine-tuning, and deploying large-scale ML systems., • Strong experimental and research skills — capable of taking projects from concept to model training, evaluation, and robot integration., • Comfortable working in a fast-moving, research-driven environment with evolving models, data, and tools. What We Offer • Competitive salary plus participation in our Employee Stock Option Plan, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Private Health Insurance, • Office perks: free hot breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

Machine Learning Engineer London – (3 days a week in office) Up to £90,000 About the Role Our client is a data-driven organisation focused on delivering measurable operational and financial improvements across a range of industries. They combine deep technical expertise with real-world delivery to design, build and deploy machine learning solutions that create tangible business impact. As a Machine Learning Engineer, you’ll work closely with Data Scientists, Data Engineers and delivery teams to productionise models and build robust, scalable ML systems within client environments. This role is highly hands-on, with a strong focus on deployment, performance and reliability. Key Responsibilities • Translating data science models into scalable, production-ready machine learning solutions., • Designing and building end-to-end ML pipelines, from data ingestion to deployment and monitoring., • Collaborating with data engineers on data architecture, pipelines and feature stores., • Working closely with data scientists to productionise models and improve performance., • Deploying, monitoring and maintaining machine learning models in live environments., • Productionising optimisation and predictive models at scale., • Building systems to anticipate and prevent operational downtime., • Deploying churn and customer behaviour models into live decision-making systems., • Enabling next-best-action and recommendation engines for commercial teams., • Supporting geospatial and advanced analytical models with robust ML infrastructure. What We’re Looking For • 2+ years’ experience building and deploying production machine learning systems., • A strong academic background (Bachelor’s degree 2:1 or above in a quantitative subject)., • Strong Python skills and experience with ML frameworks (e.g. scikit-learn, TensorFlow, PyTorch)., • Experience with model deployment, monitoring and ML pipelines (e.g. CI/CD, MLOps concepts)., • A collaborative mindset with strong communication skills and experience working in cross-functional teams. If this role looks of interest, apply below.

Senior Machine Learning Researcher | AI Hospitality Platform | London, Hybrid | Up to £160,000+ Equity & Benefit The Company We are working with a high-growth AI scale-up that is fundamentally changing how the hospitality industry operates. They have built a unique, flexible workforce model that supports some of the UK’s most famous high-street brands. Now, they are layering advanced Artificial Intelligence on top of that operational base to build a "staffing engine" that is unlike anything else in the market. Their product uses multi-year proprietary data to forecast demand and automatically generate optimal staff rotas, allowing businesses to run lean core teams and scale up exactly when needed. This technology is already being used by over 4,000 sites across the UK, and the company is well-funded and preparing for international expansion. This is a rare opportunity to join a 50-person team where you can see your research directly impact the real world. You won’t just be writing papers; you will be building the "brain" behind a platform that manages millions of hours of labour for major global brands. The Role Senior Machine Learning Researcher | AI Hospitality Platform | London, Hybrid | Up to £160,000+ Equity & Benefit You will join the Data team as a Senior Researcher, taking ownership of the core algorithms that drive the platform’s decision-making. While the engineering team focuses on infrastructure and deployment, your focus will be on the mathematical and theoretical models that solve complex logistical problems—specifically around demand forecasting and combinatorial optimization. You will be working with messy, real-world data to create sophisticated models that can predict human behaviour and business needs with high accuracy. You will have the freedom to experiment with new architectures and techniques, bridging the gap between academic research and production-grade software. This role suits someone who loves difficult mathematical puzzles and wants to work in a fast-paced, "pragmatic research" environment. You will work closely with the leadership team to define the future of the product’s intelligence capabilities. Key Responsibilities • Core Algorithm R&D: Lead the research and development of novel machine learning models for time-series forecasting and demand prediction., • Optimization Solvers: Design and implement algorithms to solve complex scheduling and resource allocation problems (e.g., generating the "perfect" rota)., • Model Innovation: Experiment with state-of-the-art techniques (e.g., Deep Learning, Transformers, Bayesian methods) to improve accuracy and robustness., • Data Strategy: Work with proprietary and public datasets to uncover new features and signals that improve model performance., • Production Readiness: Collaborate with ML Engineers to ensure your research models can be scaled and deployed efficiently into a high-traffic production environment., • Mentorship: Act as a technical authority within the team, guiding junior data scientists and shaping the research culture. Requirements for the role: • Academic Background: Strong foundation in Mathematics, Statistics, Computer Science or Physics (PhD or MSc preferred)., • Research Expertise: Deep understanding of Machine Learning theory, specifically in areas like Time-Series Forecasting, Probabilistic Modelling, or Combinatorial Optimization., • Technical Proficiency: Expert-level Python skills with deep experience in libraries such as PyTorch, TensorFlow, or Scikit-learn., • Problem Solving: A track record of applying theoretical concepts to solve messy, real-world business problems., • Communication: Ability to explain complex mathematical concepts to non-technical stakeholders (e.g., Ops or Commercial teams)., • Bonus: Experience with "Human-in-the-loop" systems or workforce management logic. What is in it for you: • Highly Competitive Salary, • Significant Early-stage Equity Options, • Private Health Insurance, • Social, pet-friendly office in London, • Free catered lunches and office snacks If you think you are a good match for Senior Machine Learning Researcher | AI Hospitality Platform | London, Hybrid | Up to £160,000+ Equity & Benefit - Drop over your CV and if we think you are a good match we will give you a shout!

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. Are you ready to elevate your career? At Ripple Labs Inc., we offer an outstanding opportunity for a Senior Software Engineer to join our top-tier team in London. As a part of our dynamic and ambitious group, you will play a key role in crafting and developing groundbreaking software solutions that drive innovation and success! Responsibilities As a Senior Software Engineer, you will: • Design, develop, and implement software systems that meet meticulous quality standards., • Work with diverse teams to define technical needs and deliver impeccable solutions., • Lead efforts in resolving and debugging to ensure flawless software delivery., • Mentor and guide junior engineers, encouraging a culture of inclusion and collaboration., • Conduct code reviews to maintain our proven high standards of software quality., • Engage in agile development processes, strictly following standard methodologies., • A Bachelor's or equivalent experience in Computer Science, Engineering, or a related field., • Proven experience in software development, with at least 5 years in a similar role., • Strong proficiency in programming languages such as Typescript, JavaScript and Java, • Experience with Spring and React., • Outstanding problem-solving skills and the ability to thrive in a fast-paced, ambitious environment., • Proficient in software design patterns and standard methodologies., • Excellent communication skills and a collaborative approach. Do Your Best Work • The opportunity to build in a fast-paced start-up environment with experienced industry leaders, • A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning., • Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team., • In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in., • Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team, • Competitive salary, bonuses, and equity, • Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support, • Employee giving match, • R&R days so you can rest and recharge, • Generous wellness reimbursement and weekly onsite & virtual programming, • Generous vacation policy - work with your manager to take time off when you need it, • Industry-leading parental leave policies. Family planning benefits.

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: We are looking for a Senior Software Engineer passionate about solving ambitious problems and working directly with Ripple Trading and Markets in the cross-border payments space. We are passionate about the growth of our engineers and place a premium on career development. You will have a high degree of accountability and responsibility from Day 1. You will be an integral part of the Ripple Trading and Markets Team, building scalable, resilient and performant trading systems in a constantly evolving and fast paced environment. You will have real impact and have the opportunity to drive the architectural roadmap, whilst looking to optimize away manual inefficiencies. Example projects: The team has helped develop a number of modular building blocks • Low-latency Algorithms for Automated Trading and Systematic Market Making, • Real-time streaming pipelines and signals, • Pricing libraries and tooling, • Further evolution of the Algo suite, refining the signal processing and breadth of trading strategies and products., • Building towards an event-driven architecture to connect the logical building blocks and provide integrated communication between trading systems and to other partners., • Be an ambitious builder, working up and down the stack, mixing software engineering, data engineering, and distributed systems knowledge to build modern enterprise payment applications., • Build reliable, high-throughput, low-latency microservices to power a diverse range of trading use cases, • Engage in the complete software development lifecycle by collecting requirements, showcasing solid software design principles, and maintaining operational excellence through unit and integration testing, • Be a true owner, managing and supporting Trading Engineering applications throughout product lifecycle, • Work with teams across the organization, including product, legal, and business development to think beyond the technical implications of your design decisions, • Continuously raise our standard of engineering excellence by implementing and driving standard processes for coding, testing, and deployment, • Proactively identify customer and infrastructure difficulties and drive corresponding solutions., • 5+ years of software development with minimum 2 years in Ops or DevOps experience in trading environments, with expertise in large-scale distributed systems; recent work in Java, Go, or Scala is preferred., • Hands-on experience with container orchestration (Kubernetes, Docker, etc.) and cloud infrastructure, especially AWS; familiarity with Infrastructure-as-Code tools like Terraform or CloudFormation., • Strong CI/CD and deployment pipeline skills, with a security-first mentality and experience building scalable, robust, and secure distributed services., • Background in front-office trading systems, ideally with exposure to FX or crypto trading; front-end experience with React or similar frameworks is a plus., • Collaborate with the team to implement, configure, and manage comprehensive monitoring, logging, alerting, and observability solutions - advocating for security best practices., • Deploy, manage, operate, and scale applications and services on AWS - whilst troubleshooting performance issues across the stack., • Collaborative, agile approach, passionate about clean architecture, continuous improvement, and engineering standard methodologies., • Strong communication and mentorship skills, with a desire to share knowledge and work closely with a diverse and high-performing team. WHO WE ARE: Do Your Best Work • The opportunity to build in a fast-paced start-up environment with experienced industry leaders, • A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning., • Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team., • In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in., • Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team, • Competitive salary, bonuses, and equity, • Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support, • Employee giving match, • R&R days so you can rest and recharge, • Generous wellness reimbursement and weekly onsite & virtual programming, • Generous vacation policy - work with your manager to take time off when you need it, • Industry-leading parental leave policies. Family planning benefits.

Our Mission Ferry is pioneering a new wave of Manufacturing Operations Platforms for the AI age. Our software powers some of the largest manufacturers globally, providing the tools, insights & capabilities for them to revolutionize what & how they produce. We are backed by leading VC funds across both the US and Europe, and partner with some of the largest companies on Earth. If you join us, your work will directly impact the physical world from day 1. The stakes are high for our customers, and in turn they are high for us, so we are held to a demanding standard that pushes us to the best we can be. About the Role We are looking for a highly skilled and adaptable Senior Backend Engineer to help build and expand the core services of the Ferry platform. You’ll be a critical member of the team in designing, developing and scaling the systems that power real-time manufacturing operations. Ferry is a flat startup, and you’ll work directly with the founders, designers and other engineers as we execute on our mission. Our platform is multi-disciplinary, and our tech stack reflects this. We utilize Go and Java on the backend (strong proficiency in one is expected; willingness to learn the other is essential). We also use Python, with Typescript / Next.js on the frontend. We heavily leverage Postgres, Timescale and Redis for storage, and run across AWS, Azure and Terraform for infrastructure. Real-time data pipelines and edge computing are key pillars of the Ferry platform, where we augment Apache Flink and Kafka. Your Day to Day • Build and scale the backend systems that power Ferry’s core platform, • Design and implement performant APIs, data pipelines and integrations, • Collaborate with frontend, platform and data engineers to deliver end-to-end features, • Lead projects from design through deployment, embedding engineering best practices along the way, • Work directly with customers, understand their pain points, and translate them into product improvements, • Rapidly fix bugs and partner with customers when needed, • Develop deep domain expertise in manufacturing systems, • Mentor & support junior engineers, and contribute to a strong engineering culture Who You Are • 7+ years as a Backend Engineer, • Strong proficiency in either Go or Java (and excited to learn new languages & frameworks), • Comprehensive knowledge and experience building, testing and deploying APIs & distributed systems, • Familiarity with microservice architectures and event-driven systems, • Strong knowledge of design patterns, data structures, algorithms and problem-solving, • Experience with cloud-based infrastructure (AWS; Kubernetes and Terraform a plus) and DevOps practices, • Thorough knowledge of Git and other contemporary development technologies, • Ability to write efficient, secure, well-documented and clean code, • Excited by uncertainty, rapid learning and solving hard problems Nice to Have • Experience with Python, • Experience with Kafka and/or Flink, • Familiarity with TimescaleDB or other time-series databases, • Experience with industrial protocols (i.e. MQTT, EtherNet/IP etc), • Experience with IoT or edge deployments

Machine Learning Engineer | Early Stage Deep Tech Start Up | London I am partnered with an early stage, London based start up that is building an AI native intelligence layer for private market investing. The platform transforms fragmented documents, deal histories, and proprietary investment data into structured, searchable intelligence for private equity, venture capital, and private credit teams. They are hiring a Founding Machine Learning Engineer to join at early stage, with real ownership over both the core technology and the product direction. This role suits someone with a strong academic background from a leading university, alongside clear evidence of success in high ownership projects: Responsibilities • Design and build machine learning models for document understanding, knowledge graphs, and data extraction, • Develop generative AI systems for research, summarisation, and investment memo drafting, • Solve complex problems involving unstructured and proprietary private company data, • Contribute to technical architecture and applied research direction, • Work closely with the founders on product decisions and feature delivery On offer • The opportunity to build a deep tech AI model and conduct original, applied research, • Founding engineer responsibility with high visibility and influence, • Hybrid working model in London, • Salary up to £50k plus meaningful equity, • Genuine ownership over what is built from day one If you meet the above criteria and want to help build foundational AI technology within a small, ambitious team, please get in touch.

Job Title: AI Researcher Location: Cambridge or London, UK This is a permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with human preferences, ensuring they are safe, controllable, and capable of producing high-quality outputs across multiple modalities. You’ll sit at the intersection of RL, LLMs, and generative modelling, helping us build the next generation of foundation models Responsibilities: Develop and refine RLHF algorithms for large language and generative models. Research and implement deep reinforcement learning methods (policy gradients, actor-critic, off-policy learning) for model alignment. Train, fine-tune, and evaluate LLMs and diffusion models at scale. Design experiments to align generative outputs with human and organisational preferences. Collaborate with researchers, engineers, and human feedback teams to build scalable alignment pipelines. Publish findings in top-tier AI conferences and contribute to open-source frameworks. Key Requirements: PhD in Computer Science, Machine Learning, or related field. Publications at NeurIPS, ICML, ICLR, ACL, or related venues. Deep expertise in Reinforcement Learning (policy optimisation, reward modelling, RLHF). Hands-on experience training/fine-tuning generative models (LLMs, diffusion, transformers, GANs). Strong knowledge of deep learning frameworks (PyTorch, JAX, TensorFlow). Proficiency in Python and standard ML libraries. Solid foundations in probability, optimisation, and statistics. Experience working with large-scale distributed training on GPUs/TPUs. If this sounds of interest, please reach out to

Role: Staff AI Engineer - GenAI (Dubai based) Join a high-performing Data Science & MLE team whose mission is to drive competitive value through scalable AI solutions. The team builds models that enhance user experiences, enable better decision-making, improve operational efficiency, and shape the regional AI ecosystem. As a senior technical leader, you’ll help define the future of personalization and user engagement using Generative AI and advanced machine learning. Key Responsibilities • Lead end-to-end AI transformation focused on personalization in a consumer-facing application., • Define and execute a long-term vision for customer acquisition and engagement strategies powered by data and AI., • Conduct exploratory analysis to understand user behavior, discover optimization opportunities, and develop behavior models to inform product enhancements., • Design and deploy data/ML instrumentation to extract insights and optimize the product experience., • Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses., • Build and scale machine learning algorithms and pipelines to production using big data technologies., • Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications., • Design and evaluate A/B tests and communicate results across cross-functional teams., • Define, implement, and monitor key performance metrics for AI-driven product features., • Stay up to date with industry advancements in data processing and AI/ML, and introduce best practices into the organization. Requirements • 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data., • Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred), • Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment)., • Expertise in deep learning architectures (e.g., attention models, transformers, retrieval models)., • Hands-on experience with LLMs and GenAI technologies., • Strong programming and problem-solving skills with proficiency in Python, SQL, Spark, and Hive., • Deep understanding of classical and modern ML techniques, A/B testing methodologies, and experiment design., • Solid background in ranking, recommendation, and retrieval systems., • Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.)., • Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy., • Bonus: Experience with geospatial data and advanced analytics platforms.

About the role I’m working with a well-funded early-stage BioAI startup applying machine learning to a hard, underexplored biological problem with real implications for climate resilience and food security. They’re building an ML-first platform where research doesn’t sit in isolation. Models are expected to ship, be used by scientists, and influence real experimental decisions. They’re looking for an ML Engineer who: • Has a strong grounding in modern ML (generative models, representation learning, geometric deep learning, etc.), • Has expertise in building and managing ML infrastructure for large-scale training, inference, and deployment, • Has worked with biological or molecular data in some form… proteins, molecules, structure, interfaces, • Can work closely with chemists and biologists, and actually make the models useful, • Has experience delivering in a fast-paced environment You don’t need prior experience in the exact problem space. Almost nobody has. Adjacent domains and an engineering mindset matter more than perfect overlap. Fully remote (UK), with 1/4ly London meetups, long runway, real scientific ownership. Salary: £90,000 - £120,000 + generous equity

Data Scientist Hybrid Working – Local Site – 1-2 days a week on site. Financial Services Lorien's leading banking client is looking for a number of Data Scientists to join them on a new long term project which will be working on GenAI-Powered Digital Assistant programme. What you’ll do • Collaborate with cross-functional teams to develop and enhance our GenAI-Powered smart digital assistant., • Leverage your expertise in NLP and transformer architectures to create intelligent conversational agents., • Dive into the world of traditional NLP techniques and stay ahead of the curve., • Apply a strong understanding of fundamental concepts-statistics, linear algebra, calculus, regression, classification, and time series analysis – to extract valuable insights from data., • Be the driving force behind our data visualisation efforts – whether its Tableau, Power BI, or Cognos you’ll create compelling visualisations that bring data to life., • Contribute to the development of a fantastic visualisation layer for analytics, making complex insights accessible and actionable. Key Skills and Experience NLP Mastery • Proficiency in LLMs and transformer architecture., • Deep understanding of traditional NLP techniques. Data & Visualisation • Solid grasp of data visualisation tools (Tableau, Power BI, Cognos, etc.), • Proficiency in Python visualisation libraries (Matplotlib, Seaborn.), • SQL for data extraction and manipulation., • Experience working with large datasets. Technical Skills • Proficiency in cloud computing and python programming., • Familiarity with Python libraries like Pandas, NumPy, scikit-learn., • Experience with cloud services for mode training and deployment. Machine Learning Fundamentals • Statistical concepts for robust data analysis., • Linear algebra principles for modelling and optimisation., • Calculus for optimising algorithms and models., • Predictive modelling techniques for regression and classification., • Time series analysis for handling time-dependant data., • Deep learning and neural networks. LLM Operations • Expertise in managing and operationalising large language models., • Experience in deploying models on cloud platforms (e.g. AWS, Sage maker, Google AI Platform, IBM Watson) IND_PC3

AI Engineer London (Hybrid – 3 days a week in office) Up to £100,000 About the Company We’re supporting a global, market‑leading wellness and fitness organisation that is scaling its AI capabilities at pace across multiple international markets. With a mission centred on improving people’s lives through wellness, the company blends technology, data, and modern engineering practices to enhance member experience, drive commercial growth, and unlock operational efficiency. The organisation has recently invested heavily in a cutting‑edge AI function, with a mandate to design, build, and deploy end‑to‑end AI solutions that solve meaningful, real‑world business problems. This is an environment where AI engineers work hands‑on with cross‑functional teams and where shipped solutions make a tangible impact across digital products, marketing, operations, and member experience. The Role They’re now hiring an AI Engineer to join a growing AI team delivering production‑grade AI systems across the business. This role sits at the intersection of software engineering, machine learning, and applied data science — ideal for someone who enjoys building real products, not just prototypes. You’ll work end‑to‑end: from problem framing and data preparation, through modelling and experimentation, to deployment, monitoring, and iteration. You’ll collaborate with teams across Digital, Marketing, Operations, Finance, and Governance to translate business challenges into robust, ethical AI solutions. If you want to build AI systems that genuinely impact users, unlock commercial value, and scale across multiple markets, this offers a rare level of ownership and breadth. Key Responsibilities • Act as a hands‑on builder of AI‑powered products from idea to production., • Combine software engineering, data engineering, and ML/LLM skills to deliver scalable solutions., • Rapidly prototype, test, and iterate with real stakeholders and real data., • Work closely with business teams to identify opportunities and define success criteria., • Translate real operational problems into actionable AI solutions., • Build models using classical ML (e.g., tree‑based methods, forecasting, uplift) as well as LLMs and generative AI., • Develop predictive solutions such as churn, propensity, next‑best‑action, and lead scoring., • Build APIs, services, and integrations enabling AI models to power real products., • Embed AI into digital journeys, CRM systems, member apps, and internal tools., • Manage the full lifecycle of models: deployment, monitoring, alerting, retraining., • Build scalable pipelines and ensure reliability, performance, and efficiency. Requirements • Proven experience in applied data science, ML engineering, or software engineering with strong AI/ML responsibility., • Proven track record delivering AI/ML solutions into production., • Experience working closely with business teams such as Marketing, Product, or Operations., • Background in one or more of: personalisation, customer analytics, conversational AI, recommendation systems, optimisation, or marketing analytics., • Deep understanding of ML fundamentals across the full lifecycle., • Hands‑on experience with ML frameworks (scikit‑learn, XGBoost, PyTorch, TensorFlow, LightGBM)., • Strong exposure to LLMs, prompt engineering, RAG, and evaluation frameworks., • Familiarity with MLOps tooling: CI/CD, experiment tracking, model registries, monitoring, containers. Please note: This role cannot provide VISA sponsorship.

Senior Software Engineer (Python - FastAPI) This fast-growing consultancy is pushing the boundaries of AI and data science, helping clients turn complex challenges into scalable, production-ready solutions. They’re now hiring a Senior Software Engineer who can blend deep technical expertise with a practical, delivery-focused mindset. Role Overview: Location: London (hybrid) Package: Competitive salary + bonus + benefits Industry: AI, Data Science & Technology Consulting Security Clearance: Applicants Must have Active SC Clearance or above What You’ll Be Doing: • Leading the end-to-end design and build of applications that utilise advanced AI and data-led software solutions., • Developing scalable data pipelines and backend services that support complex modelling work., • Setting standards for clean, efficient engineering across Python(FastAPI), SQL and cloud environments., • Training, tuning and deploying machine learning models into production., • Creating processes for robust data extraction, transformation and management., • Integrating new solutions with existing systems and ensuring smooth deployment., • Producing clear technical documentation and presenting findings to clients., • Staying current with emerging technologies and bringing fresh ideas into the team., • Contributing to proposals and shaping new project opportunities., • Mentoring junior engineers and driving best practice across the engineering team. Main Skills Needed: • Strong track record delivering complex software projects end-to-end., • Deep expertise in Python Application Development (FastAPI), with a strong SQL capability., • Hands-on experience building data pipelines, APIs and backend services., • Solid understanding of cloud platforms (Azure/GCP) and Bash scripting., • Advanced Docker knowledge, including storage, volumes and permissions., • Strong grounding in software engineering principles, version control and CI/CD., • Ability to review and improve others’ code with a collaborative approach., • Excellent communication skills and confidence presenting technical work., • Experience mentoring or line-managing technical team members., • Eligible for UK security clearance (British citizenship and UK residency for 5+ years). What’s in It for You: • A genuinely entrepreneurial environment with autonomy and variety., • Projects spanning multiple industries, technologies and data challenges., • 26 days’ holiday + bank holidays + your birthday off., • BUPA private healthcare and a £1,000 annual development budget., • Performance-based bonus and hybrid working from a modern Shoreditch office., • Work from abroad for one month each year., • Regular socials, snacks and a supportive, ambitious team. Think it could be a fit? We’d love to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. By applying you are confirming you are happy to be added to the Addition Solutions mailing list regarding future suitable positions. You can opt out of this at any time simply by contacting one of our consultants.

About Circuit Mind Electronic circuit boards are at the core of current and future inventions - space travel, medical robotics, autonomous transportation, augmented reality, bio-engineering. Yet today designing an electronic circuit board is an extremely manual, long and tedious process. At Circuit Mind we believe that this is wrong and we are on a mission to fix it, triggering the future of hardware design. We are creating an entirely new software engine for circuit boards, that takes as inputs the requirements of a circuit board and automatically outputs a complete design, ready for manufacture. As a Lead Software Engineer, you’ll create simple and elegant solutions to difficult technical problems that the world has not solved before. You will work in close collaboration with a highly-functioning team of software, electronics, algorithm engineers and product managers. Responsibilities • Collaborate with the product team and in-house hardware engineers to understand the problems of hardware engineering teams., • Plan, design, develop, test and iterate on the software solutions to those problems, accounting for functional and non-functional requirements., • Co-design, pair on, and review the development work of other lead software developers., • You’ll work on the entire company's backend code base: data models, algorithms, data pipelines, infrastructure, APIs, complex database queries, ML models. Qualifications We’re only considering exceptional candidates, with the following pre-requisites: • 5+ years of professional software development experience., • 2+ years of professional experience in Python., • 2+ years in a senior software engineer position., • Strong communication and team-work skills., • Experience working in an agile software development environment. Nice-to-haves • Experience in a tech lead position., • An interest in electronic engineering. Benefits • Collaboration with a friendly world-class team., • Above market rate salary and meaningful equity., • 25 days of annual holidays plus bank holidays., • Flexible working hours with two days a week in the office., • 5 weeks per year to work wherever you want in the world., • London Bridge office., • Extended parental leave., • Learning and development budget to support your professional development., • Yearly retreat., • Access to Circuit Mind's cutting edge EDA platform. Interview Process • Screening Interview, 20-30 min with Operations Manager Hour 2: Implement a new feature in a similar repository. • Final Interview, 120 min With Basilio (CTO and Co-founder) and Rob (Principal Full-stack Engineer). Deep dive into your experience with behavioral and experience-based questions., • Reference Checks: Two references that you provide will be contacted for feedback., • Offer: Based on successful completion of all stages. At Circuit Mind we value diversity and foster an inclusive environment. If you have an additional necessity or disability that requires accommodation, please let us know so we can adjust the interview process to your needs. We also ensure that Circuit Mind’s straight-forward and efficient hiring process respects your time.

Position Summary The Senior AI Architect is responsible for designing and implementing advanced AI and cloud architectures, with a strong emphasis on integrating generative AI technologies. This role requires a broad understanding of AI and cloud platforms, along with the ability to engage with customers on a variety of architectural topics in both cloud and data center environments. The ideal candidate is passionate about GenAI and AI technologies, stays current with industry trends, and drives innovation within the organization and for clients. As a senior leader, you will interact frequently with customers, provide expert opinions, and contribute to HCL’s strategic vision. Key Responsibilities Technical & Engineering Leadership • Design and implement AI and cloud architectures, integrating GenAI technologies to enhance functionality and scalability., • Lead architectural discussions with clients, providing expert guidance on best practices for AI and cloud integration., • Ensure solutions align with microservice and container-based environments across public, private, and hybrid clouds., • Contribute to HCL’s thought leadership in the Cloud Native domain with a strong understanding of open[1]source technologies (e.g., Kubernetes/CNCF) and partner technologies., • Collaborate on technical projects with global partners, including Google, Microsoft, AWS, IBM, Red Hat, Intel, Cisco, and Dell/VMware. Service Delivery & Innovation • Develop GenAI solutions from ideation to MVP, ensuring high performance and reliability within cloud[1]native frameworks., • Optimize AI and cloud architectures to meet client requirements, balancing efficiency and effectiveness., • Evaluate existing complex solutions and recommend architectural improvements to transform applications with cloud-native/12-factor characteristics., • Promote the adoption of GenAI technologies within cloud-native projects, driving initiatives that push the boundaries of AI integration in cloud services. Thought Leadership and Client Engagement • Provide architectural guidance to clients on incorporating GenAI and machine learning into their cloud[1]native applications and architectures., • Conduct workshops, briefings, and strategic dialogues to educate clients on AI benefits and applications, building strong, trust-based relationships., • Act as a trusted advisor, contributing to technical projects (PoCs and MVPs) with a focus on technical excellence and on-time delivery., • Author whitepapers, blogs, and speak at industry events, maintaining a visible presence as a thought leader in AI and cloud architecture., • Create and record videos to share insights and opinions on AI and cloud technologies, enhancing HCL’s industry leadership. Collaboration and Multi-Customer Management • Engage with multiple customers simultaneously, providing high-impact architectural consultations and fostering strong relationships. • Work closely with internal teams and global partners to ensure seamless collaboration and knowledge sharing across projects., • Maintain a hands-on technical credibility, staying ahead of industry trends and mentoring others in the organization. Mandatory Skills & Experience • Experience: 8+ years in cloud and AI architecture design, 5+ years in software development., • Technologies: Proficiency in Python, Java (and/or Golang), and Spring; expertise in AWS, Azure, Google Cloud; Kubernetes and containerization., • AI Expertise: Advanced machine learning algorithms, GenAI models (e.g., GPT, BERT, DALL-E, GEMINI), NLP techniques., • Big Data: Experience with Hadoop and Spark., • Ethics: Knowledge of AI ethics and governance., • Methodologies: Agile and Scrum project management. Desired Skills & Experience • Deep knowledge of machine learning operations (MLOps) and experience in deploying, monitoring, and maintaining AI models in production environments., • Proficiency in data engineering for AI, including data preprocessing, feature engineering, and pipeline creation., • Expertise in AI model fine-tuning and evaluation, with a focus on improving performance for specialized tasks., • Knowledgeable about AI ethics and bias mitigation, with experience in implementing strategies to ensure air and unbiased AI solutions., • Serverless Computing and Distributed Systems, • Deep Learning Frameworks (TensorFlow, PyTorch), • Innovation and Emerging Technology Trends, • Strategic AI Vision and Roadmapping, • Enthusiastic about working in a fast-paced environment using the latest technologies, and passionate about HCL’s dynamic and high-energy Labs atmosphere. Verifiable Certification • At least one recognized cloud professional certification (AWS Certified Solutions Architect, Google Professional Cloud Architect, or Microsoft Certified: Azure Solutions Architect Expert)

Who Are We Hansen Technologies is a leading global provider of software and services that enable organisations to transform customer experiences and streamline critical business processes. With a rich history of innovation and a footprint that spans over 80 countries, Hansen empowers utilities, energy, and communications companies to thrive in an ever-evolving digital landscape. Our commitment to excellence, customer focus, and collaborative culture makes Hansen a place where passionate professionals can make a meaningful impact, drive real change, and help shape the future of industries worldwide. We are proud to be an equal opportunities employer. Hansen prides itself on celebrating diversity and is committed to creating an inclusive environment for all employees, even extending this to how we work with our customers, partners, and suppliers. We welcome applications from all qualified candidates, regardless of age, disability, gender identity or expression, marital status, race, ethnicity, religion or belief, sexual orientation, or any other protected characteristic. If you require any adjustments or accommodation during the recruitment process, please let us know. Why This Role Matters Design and Innovate, Enable and Empower, Transform and Scale. This is more than an engineering role—it’s a strategic enabler. You’ll design and deploy advanced AI architectures, foster adoption through enablement programs, and act as a trusted advisor to stakeholders. Your contributions will directly influence how we leverage AI to create measurable business outcomes and maintain our position as a leader in intelligent automation. What You’ll Do • Design AI Solutions: Architect and prototype advanced AI systems leveraging multi-cloud platforms (AWS, Azure, GCP) and large language models., • Build Scalable Architectures: Develop secure, robust, and future-ready AI frameworks that integrate seamlessly with enterprise technology stacks., • Collaborate Cross-Functionally: Partner with software engineers, data scientists, and business stakeholders to deliver optimized AI solutions., • Drive AI Adoption: Create and lead enablement programs, workshops, and hands-on labs to upskill teams and foster a culture of innovation., • Evaluate Emerging Technologies: Continuously assess new AI tools and frameworks for integration into our ecosystem., • Advise Strategically: Act as a subject matter expert, guiding stakeholders on best practices, integration opportunities, and change management. What You Bring • Expertise in cloud platforms (AWS, Azure, GCP) and multi-cloud integration., • Deep understanding of large language models, machine learning frameworks, and AI architectures., • Proficiency in programming languages (Python, Java, C#)., • Strong analytical and problem-solving skills for complex system design., • Experience with DevOps practices and deploying scalable AI services., • Excellent communication and collaboration skills for cross-functional engagement., • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field., • 1+ years of experience in AI engineering (in-house or consulting)., • Strategic mindset with ability to turn vision into actionable steps. Benefits and Perks Join us for a rewarding career with competitive compensation, leave entitlements, health coverage, and financial security. Enjoy work-life balance, growth, and recognition for your exceptional performance. Our team will unveil the intricacies of our benefit package during the selection process.

A large public sector organisation is currently recruiting for 6 experienced Quality Assurance & Compliance Managers on a permanent basis to join their Learning & Development (L&D) team and play a pivotal role in shaping the quality, consistency, and effectiveness of learning across the organisation. Based in London, they will be offered on a hybrid working basis with 3 days on site per week required. You will also receive a significant civil service pension with 28.97% contribution by the employer annually as part of your package. Your annual leave will be 28 days + bank holidays rising to 33 day after 5 years of service. If you’re passionate about raising standards, championing excellence in learning design and delivery, and ensuring compliance with professional and organisational expectations, this is your opportunity to drive meaningful improvement and influence how thousands of people learn. THE ROLE • Lead the delivery of our organisation‑wide Quality Assurance & Compliance Strategy, aligning it with professional standards and organisational priorities, • Manage and deliver the full observation cycle, using insights to elevate learning delivery., • Collaborate closely with supervisors and team leaders to communicate QA findings, identify improvements, and promote best practice., • Review, refine, and uphold the quality of course materials to ensure they remain current, engaging, and high‑impact., • Act as a subject matter expert in learning design, instructional best practice, and assessment methods., • Design and deliver CPD programmes that strengthen capability and empower learning professionals., • Oversee key governance and compliance processes, including external QA submissions, audits, and reports., • Drive continuous improvement initiatives across all L&D functions., • Provide strategic QA and compliance advice to senior L&D leadership., • Deliver training and briefings to embed a culture of quality and excellence. ABOUT YOU You’ll be someone who brings both expertise and influence—able to guide others, set standards, and foster a culture where quality comes first. You understand how adults learn, what effective learning looks like, and how to measure and improve impact. You’re collaborative, detail‑oriented, and confident working with a range of stakeholders Knowledge & Expertise • Strong understanding of adult learning and learner engagement., • Deep knowledge of best practice in learning design and delivery (face‑to‑face & digital)., • Expertise in QA methodologies and L&D compliance frameworks., • Familiarity with evaluation techniques and CPD frameworks., • Awareness of innovations in learning technologies. Skills • Ability to give precise, constructive feedback., • Excellent communication, collaboration, and stakeholder‑management skills., • Strong analytical/problem‑solving ability with high attention to detail., • Ability to facilitate CPD activities and manage multiple priorities effectively., • Confident using digital tools to support QA and learning delivery. Experience • Significant QA and compliance experience within L&D or training., • Experience conducting QA audits and analysing/reporting findings., • Proven ability to work with senior managers and implement action plans., • Familiarity with professional/industry standards and regulatory frameworks., • Experience in independent review of records, systems, and processes for compliance. Qualifications • Essential: Degree or equivalent experience., • Essential: Relevant education/training qualification (e.g., Level 5 Diploma in Education & Training)., • Desirable: Assessor or internal quality assurance qualification (TAQA, CAVA, V1, etc.)., • Evidence of ongoing professional development. If you have the right skills and experience for these positions, apply now and we’ll be in touch.

Senior Unity Engineer - Sports Interactive - Hybrid, London/Remote Possible by Exception We’re the exclusive recruitment partner for Sports Interactive, the home of Football Manager and a subsidiary of SEGA, and we’re looking for a Senior Unity Engineer to join the team! Founded in 1994, Sports Interactive became a wholly owned subsidiary of SEGA Europe in 2006. Based at the Here East technology hub in Stratford, East London, the SI team continues to expand as we bring our titles to an ever-growing audience across an increasing variety of platforms. To support our growth, we welcome the opportunity to connect with passionate people with the drive to match our ambitions and initiative to realise your individual potential. Position Overview We are seeking a highly skilled and experienced Senior Software Engineer to join our development team. You bring extensive expertise in C# and Unity, with a strong ability to architect and implement efficient, maintainable systems. This role involves architecting and implementing scalable and re-usable systems using C# and Unity across multiple areas of the game, including — but not limited to — addressables, package management, data binding, UI and general systems and editor tooling that support our games and their features and functionality. You will collaborate closely with other engineering teams, design, production, QA, and other stakeholders in the studio to deliver high-quality user experiences on multiple platforms including desktop, console, and mobile. Your contributions will directly shape the technical foundation and player-facing experience of Football Manager, helping deliver intuitive, performant, and engaging games to our global player base. We expect our senior software engineers to take ownership of their work and professional development goals, continuously enhancing their technical knowledge and communication skills. You will also be expected to lead by example, mentor junior engineers, and promote best practices across the team. KEY RESPONSIBILITIES • Design, implement, and maintain complex and scalable systems and features using C# and Unity that form the technical foundation for our games., • Contribute to the development, profiling and optimisation of our code, including using Unity’s UI Toolkit and dynamic data binding., • Support the development of editor tooling and workflows that enhance productivity and streamline content integration across multiple disciplines including engineers, art & design., • Own and maintain areas of our C# codebase, ensuring performance, maintainability, and cross-platform compatibility across desktop, console, and mobile platforms., • Collaborate with cross-functional teams – including design, engineering, QA, and production – to deliver high-quality user experiences and features., • Participate in planning and roadmap discussions, contributing technical insight and helping shape feature delivery and long-term architecture., • Investigate and resolve complex technical challenges, including performance bottlenecks., • Mentor junior engineers, promote best practices, and foster a culture of continuous learning and technical excellence. KNOWLEDGE, SKILLS & EXPERIENCE • Extensive professional experience in video game development using C#., • Deep proficiency in C# is essential, including a strong understanding of memory management, garbage collection, async programming, and performance., • A strong experience and understanding of Unity., • Experience with Unity’s UI Toolkit is beneficial but not essential., • Experience developing Unity editor tooling and systems that support multi-disciplinary teams., • Solid understanding of software engineering principles, design patterns, and profiling and performance optimisation., • Proven ability to write clean, maintainable, portable, performant and well-documented code., • Familiarity with C++ is beneficial, particularly in contexts where Unity interfaces with native modules, but not essential., • Experience with cross-platform development across desktop, console, and mobile environments., • Strong analytical and problem-solving skills, with a proactive approach to technical challenges., • Excellent communication skills and ability to collaborate effectively across disciplines., • Self-motivated with a commitment to continuous improvement and team support., • Experience mentoring junior engineers and contributing to team-wide technical growth., • Knowledge of Football Manager is beneficial; interest in football is a plus. Benefits of Working at Sports Interactive: A flexible working policy to best suit you and your team. 🏠 Subsidised mental health, therapy and coaching sessions are available. 😌 Contributory Pension Scheme (up to 7% of annual salary). 🏦 Free onsite evening bar in the Sports Interactive London HQ. 🍹 A well-stocked breakfast bar with cereals, fruits, teas, and coffees. 🥣 Regular events in collaboration with our partnered football clubs. 🏟️ Access to our on-site physical and massage therapist services. 💆 Multiple clubs and societies to join e.g., book club and art workshops. 🫶 Free access to games released under the SEGA Europe umbrella. 🕹️ A range of Gym Membership options through our Benefits partners. 🏋️ Fully Subsidised Healthcare and Dental Plans. 🦷 Free Travel Insurance for yourself and your family. ✈️ A personalized football shirt upon passing probation. 👕 What is it like to work here? We approach everything with passion, whether that is making our mark on the gaming and football industries or doing our bit for the world around us. We want to share that outlook with everyone who shows up to work here each day. For us, talent wins games, but teamwork wins titles. Collaboration is the key to constantly topping our best. We believe everyone matters, no matter which part of the business you are in, so we encourage and support our people in driving your own growth and realising your full potential. But, more than anything else, we are a team. A team with a down-to-earth dynamic, that has a lot of fun doing what we do. And whether that’s technical tweaks or fine-tuning our creative process, everything is geared at producing the best game possible for our players. To do that, we need to be tenacious and move quickly, and not be afraid of switching things up. It is these principles that have enabled us to produce a game that has defined year after year, and that will continue to push us for many more to come. Our flexible working culture gives you the opportunity to optimise your workload, with in-office, hybrid, and remote working options dependent on role. So, if you want a work/life balance, we are behind you. Because while we live to create extraordinary games, we know that is not all you have got going on. You can trust that we always keep things in perspective, fostering an environment where work can be more than just a job. We’re also a London Living Wage employer, boast one of the lowest staff turnover rates in the industry and are proud to have won the ‘Best Places to Work’ award by Gamesindustry.biz in large company category in 2023. We are proud to be an equal opportunities employer and encourage applications from any relevant candidate irrespective of sex, race, disability, age, sexual orientation, gender reassignment, marriage or civil partnership, pregnancy or maternity, religion, or belief. SI is proudly a Disability Confident Committed employer, and we are dedicated to ensuring our recruitment process is inclusive and accessible. Our studio has disabled access and facilities but please ensure you advise us if you require any other reasonable adjustments to be made to support you during the recruitment process. Our Values: Keep collaborating: Teamwork wins titles - Here, ideas belong to everyone, whatever department you’re part of. Collaboration lets us score more as a team than we could individually. Be flexible: We think fast and adapt faster. The football and entertainment worlds never stand still, so we keep progressing and switching things up to stay ahead. Stay Tenacious: We don’t overlook the details. Everything we do is about producing the best game possible, in other words, never settle. Show Ambition: Let your drive lead the way - Your individual outlook can give everyone the edge. Make the studio’s purpose personal and let your drive lead the way. Bring the Passion: Have fun doing your thing - Don’t be fooled, what we do is not a game. Making our players’ passion come to life is our passion. Consider the Bigger Picture: Keep things in perspective - We want our impact to be a positive one. From built-in work/life balance to initiatives covering the most important topics of today, we have what matters in focus.

🌍 Location: London (Hybrid: 4-8 days a month) 💷 Salary Range: £70,000-100,000 📈 Equity: Meaningful early-stage equity 🕒 Stage: Seed → Series A 🌐 Website: Cyb3roperationsCyb3r Operations | Supply Chain & Third Party Intelligence About Cyb3r Operations Cyb3r Operations is building a modern third-party risk intelligence platform that gives organisations real-time visibility into: • Supply-chain and vendor risk, • Financial stress indicators, • Cyber exposure and shadow IT, • Surface, deep and dark-web intelligence, • Breach data, impersonation activity and industry-specific signals Our platform ingests and enriches large volumes of external intelligence to help security, procurement, CFO and resilience teams understand exposure instantly. We have: • Closed our seed round and are entering the next stage of growth, • Expanding the platform, engineering team and customer footprint, • Preparing for Series A with a focus on platform maturity and deeper integrations We're hiring a Senior Lead Software Engineer as a foundational member of our engineering team, someone who will help us build robust, scalable systems and shape how we grow the team around them. Role Overview This is a key early hire. You'll work across the full stack with a strong emphasis on backend services and infrastructure, helping us build systems that scale as we grow. You'll work closely with the Director of Engineering to establish patterns, improve reliability, and lay the groundwork for a larger engineering team. You will: • Design and build backend services that ingest, process and serve intelligence at scale, • Own and evolve our AWS infrastructure, ensuring it's secure, cost-effective and production-ready, • Work across the stack when needed, comfortable contributing to frontend, APIs and data layers, • Help define engineering practices, tooling and processes as the team grows, • Be a key voice in technical decisions and architectural direction, • Mentor and support engineers as we expand the team This role suits someone who wants to build things properly, cares about the foundations, and is excited by the opportunity to shape both the platform and the team. Key Responsibilities Backend Development • Design and build performant, maintainable backend services in TypeScript/Node.js and Python, • Develop APIs using Fastify and integrate with internal and external data sources, • Build data pipelines and processing workflows that handle high-volume intelligence feeds, • Implement robust error handling, logging, monitoring and alerting, • Write clean, well-tested code with clear documentation Infrastructure & Cloud Engineering • Own and manage AWS infrastructure (ECS, Lambda, RDS, S3, CloudFront, SQS, EventBridge, etc.), • Design for scale, reliability and cost efficiency from the outset, • Implement infrastructure-as-code using Terraform, • Build and maintain CI/CD pipelines for consistent, reliable deployments, • Establish security best practices across infrastructure and application layers, • Monitor, troubleshoot and optimise production systems Architecture & Technical Leadership • Contribute to architectural decisions that support long-term scalability, • Identify technical debt and propose pragmatic approaches to address it, • Evaluate and introduce tools and technologies where they add genuine value, • Document systems, decisions and patterns to support team growth, • Participate in incident response and post-mortems, driving continuous improvement Team Growth & Collaboration • Work closely with the Director of Engineering on priorities, planning and team development, • Help interview, onboard and mentor new engineers as we scale, • Communicate clearly and proactively, flag risks early, share context generously, • Collaborate with Product and other stakeholders to refine requirements and trade-offs, • Foster a culture of learning, quality and mutual support Technical Environment Backend: • Node.js, TypeScript, Fastify, • Python for data processing and automation, • Postgres, Supabase, Redis, • Event-driven microservices architecture, • n8n for workflow automation, • LLM-powered enrichment pipelines Infrastructure: • AWS (ECS, Lambda, RDS, S3, CloudFront, SQS, EventBridge, IAM, VPC), • Terraform for infrastructure-as-code, • GitHub Actions for CI/CD, • Monitoring and observability tooling Frontend (for fullstack context): • React, TypeScript, Vite, Next.js Bonus familiarity: • Graph databases and GraphML for relationship modelling, • .NET for legacy integration or specific tooling, • Cyber Security, • SOC2 / CE+ / Regulatory experience What Success Looks Like (First 12 Months) • Core backend services and infrastructure are more scalable, reliable and observable, • Clear architectural patterns established that the team can build upon, • Meaningful contribution to at least one significant platform capability, • Infrastructure costs are understood, monitored and optimised, • Strong working relationships across engineering, product and leadership, • Actively contributed to hiring and onboarding new team members, • Recognised as a trusted technical voice in decisions and planning Ideal Experience • 5+ years of backend development experience, with strong TypeScript/Node.js and Python skills, • Solid, hands-on AWS experience—you've built and operated production infrastructure, not just used managed services, • Experience designing systems for scale, even if you haven't yet operated at massive scale, • Comfortable across the stack—backend-focused but can contribute meaningfully to frontend when needed, • Worked in startup or scale-up environments where you've had to build, ship and iterate quickly, • Experience with infrastructure-as-code (Terraform preferred), • Clear, confident communicator who can explain technical concepts to varied audiences Bonus: • Experience with graph databases or GraphML for modelling complex relationships, • .NET experience for specific integrations, • Familiarity with cyber security, threat intelligence or risk platforms, • Experience building data pipelines or working with high-volume data ingestion, • Previous involvement in growing or mentoring engineering teams What We're Looking For Beyond technical skills, we're looking for someone who: • Loves building: Energised by creating products that solve real problems, • Builds for scale: Thinks about what happens when it grows, not just when it works, • Grows people: Wants to help others develop—shares knowledge, gives feedback, lifts the team, • Stays curious: Asks questions, digs deeper, never assumes they know everything, • Keeps learning: Actively develops their skills and stays engaged with the craft, • Stays humble: Ego-free, open to challenge, happy to be wrong if it leads to better outcomes, • Communicates clearly: Can articulate ideas, trade-offs and concerns directly and constructively This is an early, foundational role. We need someone who cares about getting it right and wants to help us build something that lasts. Why Join Cyb3r Operations This isn't a 9-5. We're building something meaningful, and we're looking for people who want to be part of that. • Foundational impact: Join as a key early hire and shape how we build—both the platform and the team, • Real ownership: Your decisions matter, your code ships, your influence is tangible, • Talented team: Work alongside experienced engineers, intelligence analysts and security professionals who care about their craft, • Shared success: We celebrate wins together and recognise the people who make them happen, • Growth opportunity: Help us scale from seed to Series A and beyond, your career grows with us, • Cyber security domain: Work on problems that matter, in a space that's only becoming more critical, • Competitive package: Salary, matched pension contribution, unlimited leave and flexibility that reflects your experience and contribution If you want to build robust systems, help grow a strong team, and be part of something from the early days, we'd love to hear from you.

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. We champion the builders of tomorrow by providing the infrastructure, tools, services, programs and support for creation on one of the world’s fastest, most sustainable and consistently reliable public blockchain - XRPL. By supporting an open community of developers, they can advance the solutions and innovation needed to allow businesses, consumers, institutions and governments to fuel the engine of a new digital economy. We believe that realizing the Internet of Value hinges on how easily new technology works for more people, and how effectively we can change the way the world operates today. Ripple Custody is helping more people participate in the digital economy by providing enterprise grade custody solutions for large financial institutions and crypto native companies. We have a big vision and the ambition to match. We are seeking the same in engineering managers. You also see the huge potential of this crypto custody and have the entrepreneurial spirit and technical excellence to realize the vision we have. There is a lot of work to get there but we are committed to building out the best team to achieve this. We’re looking for a results oriented hands-on engineering leader to help manage and guide teams building core security features for Ripple Custody. WHAT YOU'LL DO • Provide technical and business leadership defining Ripple Custody’s long term strategy, ensuring flawless execution building secure software and systems that are scalable and reliable, • Own and deliver the roadmaps of multiple programs while driving technical and operational excellence across the engineering organization, • Mentor and guide the professional and technical development of your team, both managers and engineers, • Provide hands-on technical leadership, • Encourage and drive engineering best practices, • Collaborate with stakeholders across Ripple and the customer community at large, • Establish team objectives and quarterly plans in alignment with business and organizational goals, • Translate technical concepts into tailored content for different audiences including engineers, business and technical leaders, • Scale the team by attracting and mentoring great leaders and engineers at various levels of experienceWhat we're looking for, • 10+ years of hands-on software development leadership experience, managing managers and teams of engineers., • Solid leadership and communication skills., • Hands-on experience building highly secure, scalable distributed systems in modern technology stacks, • Experience with Agile development with a focus on robust software design, scalability and security., • Eagerness to work openly and collaboratively with a diverse team, with a positive attitude and a passion for sharing knowledge., • A technical subject matter expert who provides technical leadership and shares expertise with a growing team of engineers. Do Your Best Work • The opportunity to build in a fast-paced start-up environment with experienced industry leaders, • A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning., • Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team., • In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in., • Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team, • Competitive salary, bonuses, and equity, • Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support, • Employee giving match, • R&R days so you can rest and recharge, • Generous wellness reimbursement and weekly onsite & virtual programming, • Generous vacation policy - work with your manager to take time off when you need it, • Industry-leading parental leave policies. Family planning benefits.

About the Role We’re seeking a Principal AI Engineer to lead the design and implementation of advanced AI solutions across our product and business ecosystem. This is a unique opportunity to define and deliver an organisation-wide AI strategy — combining hands-on technical work with cross-functional influence to drive real impact. You’ll work closely with senior technology and business leaders to shape how AI is embedded across products, operations, and internal processes. The role offers autonomy, scope, and visibility — ideal for someone who thrives at the intersection of deep technical expertise and strategic thinking. What You’ll Do • Design, build, and deploy AI-powered systems and features that enhance product functionality and user experience., • Develop and integrate agentic frameworks, RAG pipelines, and vector database architectures to support natural language and intelligent automation use cases., • Fine-tune and customise LLMs (e.g. OpenAI, Anthropic, and other models) for specific business applications., • Collaborate with engineering and data science teams to implement MLOps best practices — from deployment and monitoring to continuous iteration., • Partner with commercial and operational teams to identify and automate processes that can be enhanced through AI tools., • Ensure responsible and secure use of AI through data governance, model guardrails, and compliance measures. About You • Deep expertise in Python, machine learning, and data science., • Experience building, deploying, and scaling AI models in Azure and/or AWS environments., • Skilled in using LangChain, LangGraph, vector databases, and prompt engineering., • Understanding of LLM optimisation, including context extension and RAG-based frameworks., • Proven ability to collaborate cross-functionally and communicate complex AI concepts to non-technical teams., • A proactive, creative mindset — comfortable operating with autonomy to build scalable, production-grade AI systems. Preferred qualifications: • Advanced degree (MSc/PhD) in Computer Science, Data Science, or a related STEM field., • Experience with Azure Foundry, AWS SageMaker, or other model-serving tools., • Prior exposure to SaaS, enterprise, or data-rich product environments. Why This Role • Play a central role in defining and executing an organisation-wide AI roadmap., • Work directly with senior leadership on strategy and implementation., • Shape the next generation of intelligent, data-driven products., • Hybrid working environment with flexibility for deep technical focus and collaboration., • Competitive compensation and the opportunity to build at scale in a high-growth environment. If you’re passionate about building intelligent systems that create measurable impact — this is your opportunity to lead from the front.

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network The next step is to ___. Founding Engineer Salary: £70k-100k + Equity Company Description: VC-backed hospitality tech startup Job Description: Join a profitable, high-growth startup building an intelligent operating system to replace legacy manual processes in the hospitality sector. As a founding engineer, you will lead the development of ML-driven tools that power daily operations for thousands of users. This role offers true ownership, fast shipping cycles, and direct product influence. Location: London, UK Why this role is remarkable: • Significant equity stake in a profitable company backed by top-tier global venture capital firms., • Direct impact on a product used daily across hundreds of locations by thousands of active users., • High-velocity shipping environment where you demo new features to real users every single cycle. What you will do: • Build and maintain full-stack features using TypeScript across the entire product ecosystem., • Design and implement scalable software patterns and database schemas to handle production workloads., • Drive product direction by translating complex operational problems into simple, high-impact software solutions. The ideal candidate: • Deep proficiency in TypeScript with over 4 years of experience shipping production-level software., • Strong background in software design patterns and managing live workloads on cloud providers., • Product-focused mindset with the ability to move fast and turn messy problems into working code. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Step 1. Visit ___. Step 2. Click 'Talk to Jack'. Step 3. Talk to Jack so he can understand your experience and ambitions. Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role. Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. Step 6. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

Who we are Zedsen is a cutting-edge health technology startup based in London, focused on transforming breast cancer detection through our innovative, non-invasive sensor technology. Our proprietary sensors and advanced data algorithms enable us to detect subtle changes in breast tissue, offering a safer, accessible, and cost-effective alternative to traditional screening methods. Our mission is to provide early and accurate breast cancer screening solutions, accessible globally, to improve patient outcomes, reduce healthcare costs, and enhance the overall quality of care. By developing scalable technology that can be widely implemented, we aim to make a measurable impact on the way breast cancer is detected and managed worldwide. What You’ll Do Building breakthrough sensing technologies takes tight coordination between hardware, signal processing, and algorithms—and that’s where you come in. You’ll be at the heart of our electronics development, leading verification and validation of current designs and prototypes, turning real-world performance data into insight, and pushing the next generation of improvements across every layer of the system (from analogue sensor arrays and PCBs to filtering and ASICs). As a senior member of the team, you’ll shape how we design, test, and evolve our hardware systems. You’ll model great engineering practices, ensure compliance with medical standards (IEC 60601, ISO 14971, ISO 13485), and help foster a culture of open collaboration and continuous learning. You’ll mentor engineers, share knowledge generously, and help turn bold ideas into robust, life-changing, and inclusive solutions. Core Responsibilities • Lead design and development of analogue and mixed-signal electronic systems for medical sensing applications, • Own schematic design, component selection, and PCB layout (Altium or equivalent), • Develop and maintain verification and validation plans for hardware subsystems, • Analyse and improve sensor performance, noise characteristics, and signal quality, • Collaborate closely with firmware, mechanical, and algorithm teams to ensure seamless system performance, • Drive design reviews, risk assessments, and documentation in line with ISO 13485 and ISO 14971, • Engage with test houses and certification partners to ensure compliance with IEC 60601 and other relevant standards Essential Requirements • 10–15 years’ experience in electronic hardware design, with at least 5 years in medical or other regulated systems., • Deep understanding of analogue and mixed-signal design, especially for sensing, low-noise front ends, and signal integrity., • Strong command of EMC design and mitigation techniques., • Experience taking hardware through IEC 60601 compliance and verification., • Skilled in schematic capture and PCB layout review (Altium or equivalent)., • Familiarity with risk management (ISO 14971) and design control processes., • Working knowledge of embedded systems, allowing effective collaboration with firmware. Desirable Criteria • Experience in capacitive or impedance sensing and ow-power wearable electronics, • Familiarity with FPGA development and high-speed digital signalling, • Comfort working in early-stage R&D and rapid prototyping environments, • Strong communication and mentoring skills, • Enthusiasm to produce high quality work – we are producing medical, • devices! We know that no candidate meets every single requirement. If you’re excited about the role and have strong experience in most of these areas, we’d love to hear from you! Benefits · Private Medical and Dental Cover · Life and Health Insurance · Flexible working environment – 3 days / week required in the office: flexibility to work remotely at company discretion. · Free lunch when working onsite · 25 days annual leave · 5% Employer Pension Contribution · Share Options · Bonus scheme (subject to meeting company milestones and company policy) · Opportunities for growth: learn from a supportive team, attend workshops and short courses which align with delivering company goals (subject to managerial approval). How We Work We’re a close-knit team of scientists and engineers who enjoy taking on complex problems and seeing them through. The hardware group is small and focused where everyone has an equal opportunity to shape both the technology and the culture we work in. We hold ourselves accountable, support one another, and value clear, honest communication over unnecessary process. Growth here comes from doing meaningful work, learning together, and sharing knowledge openly. If you want to build technology that matters alongside people who are passionate about what they do, you’ll fit right in.

Company Description Amplytic is building an AI asset manager for renewable energy portfolios across wind, solar, and storage. It creates a structured understanding of each asset by linking operational data, commercial contracts, and regulatory rules through an ontology-led intelligence layer. This gives owners and managers clear, reliable answers on obligations, performance, risks, and required actions. Amplytic also automates the routine work that slows asset management down: tracking contract duties, identifying compliance items, checking revenue logic, validating settlements, and interpreting regulatory rules. These become consistent, traceable outputs rather than manual spreadsheets and scattered documents. By reducing operational drag and improving the quality of decisions, Amplytic helps teams run larger portfolios with less overhead and achieve stronger investment yield across their assets. Role Description We are seeking a passionate and innovative Founding Engineer for a full-time on-site role in London. You will play a pivotal role in building and scaling Amplytic's AI infrastructure and technology solutions for renewable energy asset management. Day-to-day responsibilities include designing and developing scalable software, implementing AI-driven analytics, optimising system performance, and collaborating closely with diverse teams to drive product innovation. You will also contribute to strategic decision-making and have a significant impact on shaping our technical vision and roadmap. Qualifications • Proven experience in software engineering, including proficiency in programming languages like Python., • Strong knowledge of AI/ML technologies, data structures, and algorithms, • Hands-on experience with cloud-based platforms and infrastructure (e.g., AWS, Azure, Google Cloud), • Familiarity with renewable energy industry, contract management, or financial analysis is a strong asset, • Strong problem-solving skills and a growth mindset, • Experience in a fast-paced startup environment is a plus What we value and how we work We operate with high ownership and zero excuses. We care about solving real customer problems. We move fast, make bold calls, and favour progress over polish. Clear thinking and relentless execution matter most. Everyone here is a builder. You get space to act, challenge ideas, call out inefficiency, and push for better ways of doing things. We keep teams small, and trust people closest to the problem to make decisions. In this role, you will get • Real ownership: You won’t “support engineering”; you are engineering. You’ll build the core systems that define how an AI asset manager works from the ground up., • ⁠A decisive environment: No layers, no vague asks. You get context, autonomy, and the mandate to move., • ⁠High trust, low bureaucracy: Small teams, direct communication, and freedom to build without needless gates., • ⁠A mission that matters: You’ll work on production systems managing millions in clean-energy assets, directly contributing to faster adoption of renewable power., • ⁠Deep technical growth: You’ll work across complex energy-market logic, real-time data, and full-stack engineering, with plenty of steep learning curves along the way., • ⁠Meaningful upside: Competitive salary plus meaningful equity, with direct influence on the company’s trajectory.

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: As Director of Developer Relations in the RippleX Ecosystem Growth team, you will build and lead the team responsible for how developers discover, onboard, build, and scale financial applications on the XRP Ledger (XRPL). In this role, you'll be at the forefront of enabling businesses, institutions, and governments to harness XRPL's capabilities for transformative financial innovation, driving adoption for institutional-grade use cases, including asset tokenization, institutional DeFi, and next-generation payment infrastructure. This role will be pivotal in growing our developer ecosystem, gathering crucial feedback to inform XRPL product development, and ensuring blockchain technologies are implemented responsibly across diverse financial implementations. You'll set the vision and strategy for developer experience, including individual developers, startups, and institutions. Your success in this role will directly shape XRPL's growth trajectory and market position while ensuring blockchain technologies are implemented responsibly across countless financial use cases. Building strong relationships between the developer community and internal teams will be essential as we advance our mission of creating reliable, scalable financial infrastructure that serves real-world institutional needs. WHAT YOU’LL DO: • Own and develop the strategy for how developers build financial solutions, tokenization platforms, and payment applications on XRPL, • Create frameworks for measuring developer success that align with business objectives, including analytics for fintech developers and financial institutions, • Build scalable and systematic frameworks to accelerate developer adoption through both one-to-many and one-to-one strategies, • Organize high-impact developer events, group learning sessions, workshops, and hackathons that showcase XRPL's capabilities for tokenization and financial innovation, • Generate technical content including tokenization guides, payment integration tutorials, institutional DeFi standard methodologies, and code demos, • Speak at conferences, meetups, events, and private seminars about XRPL use cases, projects, and upcoming products and features, • Provide hands-on technical support to accelerate integration for financial companies and startups, • Evaluate technical feasibility or technical due diligence and team strength for projects through various Ecosystem Growth Programs such as Grants and Accelerator initiatives, • Build and measure adoption mechanisms and reporting structures to demonstrate success and traction, • Recruit and scale a high-impact global developer relations team with representation across key financial hubs and emerging tokenization markets, • Foster a collaborative culture internally with GTM, Product, Engineering, Communications, and Marketing teams as well as external partners and the broader XRPL community, • Act as the primary advocate for financial developer needs at the executive level, translating feedback into strategic initiatives, • Champion best practices for regulatory compliance and institutional-grade security adoption by developers building financial applications, • Collect feedback to inform product roadmaps while serving as a technical liaison between developers, funded financial projects, and Ripple's product and engineering teams, • 7+ years of experience building and leading developer relations, developer experience, or technical product teams, with a proven track record of measurably growing developer ecosystems, • Institutional Finance Acumen: Deep understanding of financial instruments and market structure (equities, bonds, repos, collateralized lending, etc.). Strong grasp of collateral management, capital efficiency, and how DeFi can impact these processes. Familiarity with regulatory frameworks and how they relate to tokenization and digital asset adoption, • Technical credibility with the ability to deeply understand complex technical concepts and translate them for various audiences ranging from individual developers to enterprise executives, • Deep insight into developer psychology and behavior—knowing how to reach developers through the right channels, build authentic affinity for products, and design education programs that drive meaningful adoption, • Hands-on technical abilities—capable of creating your own code demos, critically reviewing developer samples for quality and best practices and providing specific technical feedback, • Collaborative leadership skills with the ability to influence across teams without direct authority, building strong relationships with stakeholders at all levels, • Experience scaling teams in high-growth environments with the ability to adapt quickly as priorities evolve, • Comfortable navigating ambiguity in fast-paced environments with autonomy and accountability, • Experience working with blockchain technologies, APIs, developer platforms, or emerging financial technologies, • Background in building developer communities around new technology categories, particularly in fintech or blockchain, • Experience with open-source ecosystems, community management, and collaborative development practices, • Public speaking experience at industry conferences and events, particularly fintech or blockchain conferences, • Content creation experience including technical writing, video tutorials, or documentation for financial applications, • Experience with developer analytics and community measurement tools Do Your Best Work • The opportunity to build in a fast-paced start-up environment with experienced industry leaders, • A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning., • Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team., • In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in., • Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team, • Competitive salary, bonuses, and equity, • Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support, • Employee giving match, • R&R days so you can rest and recharge, • Generous wellness reimbursement and weekly onsite & virtual programming, • Generous vacation policy - work with your manager to take time off when you need it, • Industry-leading parental leave policies. Family planning benefits.

This role is with one of Dex’s trusted Partner companies. We work closely with their teams to truly understand their culture, goals, and what they’re looking for, so we can match you with the right opportunity for your goals! If you’re interested, apply here, or head to the website, where you can sign up and speak to Dex. After your call, you'll be sent the full match details. We’ll help manage your applications, and find other great matches to work you'll love. The Opportunity Dex is partners with some of the world’s most prestigious quantitative trading firms and systematic hedge funds. These organizations operate at the absolute bleeding edge of technology, treating the global financial markets as a complex data science problem. They are deploying massive compute clusters and proprietary machine learning models to trade billions of dollars daily. If you're an engineer who cares about nanoseconds, cache locality, and architecting petabyte-scale infrastructure, this is the pinnacle of technical challenge. What You’ll Work On • Architect Low-Latency Infrastructure: Design and implement the critical path for trading execution, building order management systems and market connectivity layers where performance is measured in microseconds., • Scale Data Pipelines: Engineer elegant, distributed systems capable of ingesting and processing petabytes of market and alternative data, ensuring absolute consistency for research teams., • Operationalize Machine Learning: Bridge the gap between research and production by deploying complex ML models into live environments under strict latency constraints., • Optimize the Stack: Go "close to the metal" to optimize performance across networking, I/O, and compute layers, squeezing maximum efficiency out of hardware., • Build World-Class Observability: Create robust monitoring and telemetry systems to provide real-time insights into pipeline health, trading activity, and model behavior., • Work with the Best: Work side-by-side with world-class researchers and mathematicians to translate theoretical strategies into production-grade code. What You'll Have • Polyglot Mastery: Exceptional command of at least one major systems language (C++, Rust, Java) for low-latency components, or Python for data and ML workflows., • Distributed Systems Expertise: Deep experience building high-throughput, fault-tolerant systems using modern messaging standards (e.g., Kafka, ZeroMQ, NATS)., • Systems-Level Intuition: You are comfortable debugging and profiling at the OS level, understanding memory management, CPU architecture, and network stack optimization., • Data Infrastructure: Familiarity with the modern data stack, including time-series databases, object stores, and streaming frameworks like Apache Flink or Spark Streaming., • Engineering Rigor: You write clean, testable, and reliable code. You understand that in this environment, a system failure can cost millions in seconds., • Bonus - ML Engineering: Experience with model serving, feature stores, or integrating ML pipelines into live production systems is highly valued. (Note: Previous finance experience is not required). To be considered for this role and others like it apply directly, or sign up to Dex and we'll help find the work that matters to you!

This is a unique opportunity to work at the cutting edge of AI, data technology, and elite football analytics. As a Data Scientist, you’ll join a collaborative, high-performing team with a culture rooted in creativity, innovation, and excellence. In this role, you’ll design and deploy data models that power decision-making across every area of the club — from strategy, tactics, recruitment, and performance, to pre- and post-match analysis. You'll also play a key role in supporting the club’s commercial operations, including e-commerce and fan engagement. If you're passionate about using advanced data science to drive real-world impact in sport, this is the role for you. Key Responsibilities • Develop and apply statistical models and algorithms to analyse player performance, match outcomes, and tactical insights, • Collect, clean, and process football-related data from diverse sources, • Build clear, compelling visualizations and deliver insights to both technical and non-technical stakeholders, • Collaborate with analysts, coaches, and performance staff to understand requirements and translate them into actionable data solutions, • Stay up to date with advancements in sports analytics, machine learning, and data science methodologies Your Background • 3+ years of industry experience as a Data Scientist, plus a strong academic foundation, • Python Data Science Stack: Advanced proficiency in Python, including Pandas, NumPy and scikit-learn., • Statistical & Machine Learning Modelling: Experience with a variety of ML techniques (regression, classification, clustering, time-series forecasting), • Experience with deep learning frameworks such as Keras or PyTorch, • Model Deployment: Proven ability to productionise models, including building and deploying APIs, • Strong visualization and communication skills, with the ability to translate complex technical findings into actionable insights for coaches, analysts, and execs Highly Desirable Skills • Football Analytics Experience: Familiarity with football-specific datasets (event, tracking, positional), and libraries like mplsoccer, • Advanced MLOps & Modelling: Experience with the Vertex AI ecosystem, especially pipelines, and advanced techniques such as player valuation, tactical modelling, etc., • Bayesian Modelling: Knowledge of probabilistic programming (e.g., PyMC) for uncertainty-aware predictions, • Stakeholder Collaboration: Demonstrated ability to work directly with stakeholders to scope, iterate, and deliver impactful solutions in fast-moving environments What They Offer • A chance to work on real-world data that impacts elite football performance, • Access to high-value datasets, sports science teams, and cross-disciplinary experts, • A flexible hybrid working model (1 day per month in the London office), • The opportunity to grow within a digital-first team at a world-renowned football club, • The satisfaction of applying your engineering skills in an environment where your work directly influences results on the pitch

About Mirantis Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy. Job Description Mirantis is inviting an experienced and client-focused Senior Solution Architect to join our dynamic client-facing technical team. You will develop trusted advisor relationships with prospects and customers by educating, presenting, demonstrating, and conducting POCs of Mirantis’ AI Infrastructure platform. This role offers the opportunity to work on ambitious, cutting-edge technology within the fast-evolving AI and cloud-native ecosystems. Responsibilities Partner with sales to support enterprise opportunities, and help customers understand the value of Mirantis’ industry-leading AI and Kubernetes-based solutions. Lead technical discovery sessions, demos, and proof-of-concept engagements with customers and partners. Translate customer requirements into solution architectures leveraging Mirantis’ products and best practices. Deliver engaging technical presentations and live demonstrations that showcase Mirantis’ platform capabilities, business value, and open-source innovation. Provide field feedback to influence product direction and go-to-market strategy. Serve as a trusted technical advisor – building and maintaining long-term relationships with client stakeholders while representing their needs within Mirantis. Represent Mirantis at industry events, conferences, and community meetups by delivering technical sessions, demonstrations, and thought leadership content. Qualifications 5+ years’ experience in a pre-sales, solutions architecture, or technical consulting role for cloud-native or enterprise software. A working knowledge of: Cloud infrastructure, including Kubernetes, OpenStack, Docker, microservices, and public cloud services (AWS, GCP, Azure) AI/ML infrastructure tools (e.g., Kubeflow, MLflow, NVIDIA AI), and how they integrate with cloud-native platforms DevOps and automation tools, including CI/CD pipelines Observability tooling, including open-source monitoring, logging, and alerting systems Strong understanding of the competitive landscape within the cloud infrastructure and open-source ecosystem. Track record of delivering outcomes for Fortune 500 clients and influencing senior IT/engineering leaders (CIO, CTO). Exceptional written, verbal, and presentation skills with the ability to communicate complex ideas clearly to technical and business audiences. Ability to travel to customer sites and events as needed. Preferred Qualifications Strong hands-on experience with Kubernetes, Docker, containers, virtualization technologies (vSphere, OpenStack), and leading public cloud platforms such as AWS, Google Cloud Platform, and Azure. Industry certifications (AWS, Azure, Kubernetes), especially Certified Kubernetes Administrator (CKA) Proven experience with enterprise-grade security, compliance, and regulatory frameworks. Comfortable operating in global, remote, and hybrid environments, with a demonstrated ability to manage complex projects across multiple teams and stakeholders. Soft Skills and Team Fit Proven problem-solving, consultative, and relationship-building skills. Entrepreneurial drive with a passion for learning and continuous improvement. High integrity, transparency, and a collaborative mindset. Additional Information What does Mirantis offer you? • Work with an established Silicon Valley leader in the cloud infrastructure industry;, • Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies;, • Be a part of cutting-edge, open-source innovation;, • Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued;, • Professional development and training;, • Attend conferences and working groups;, • Company outings, happy hours, hackathons, and tech talks;, • Receive a competitive compensation package with a strong benefits plan. It is understood that Mirantis, Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to By submitting your resume, you consent to the processing and storage of your personal data in accordance with applicable data protection laws, for the purposes of considering your application for current and future job opportunities. We are a Leader for Container Management in G2 (#2 after AWS)!

A leading UK bank is seeking an experienced Salesforce Engineering Leader. You’ll play a pivotal role in shaping the bank’s technology future - designing cutting-edge solutions, leading on complex programmes, and ensuring the platforms are resilient, secure, and world-class. This is a chance to work in a dynamic environment where your ideas will influence strategy, your technical skills will solve business-critical challenges, and your leadership will inspire teams to achieve excellence. You will get the opportunity to shape the salesforce environments, working across product and technology. Accountabilities • Build Engineering – Design, deliver, and maintain high-quality infrastructure and Salesforce solutions with measurable reliability, scalability, and performance., • Incident Management – Proactively monitor system health, resolve outages or vulnerabilities, and use data insights to reduce mean time to resolution., • Automation – Implement CI/CD pipelines and process automation to improve efficiency and reduce manual intervention., • Security – Ensure platforms are protected against threats, with robust governance and secure configurations., • Collaboration – Partner with architects, product managers, and cross-functional teams to define and deliver infrastructure requirements aligned to business strategy., • Continuous Learning – Stay ahead of industry trends, contributing to communities of practice and fostering technical excellence. Expectations • Shape and influence strategy, resource planning, and technology direction., • Provide thought leadership in Salesforce engineering, integration, and DevOps practices., • Act as a trusted advisor to senior stakeholders, driving business-aligned technology outcomes., • Guide and mentor junior engineers, creating a culture of collaboration, excellence, and innovation., • For leadership: build and develop high-performing teams through authentic leadership and coaching., • Ensure risks are effectively managed, controls are adhered to, and solutions meet governance and regulatory standards. Skills & Competencies • Advanced Salesforce DevOps (2GP, CI/CD, modular architecture)., • Deep expertise in Salesforce data architecture, Flows, Apex, Lightning Web Components (LWC), OmniStudio., • Strong integration knowledge (APIs, ETL, asynchronous/event-driven patterns)., • Proficiency in Salesforce design patterns and scalable component-based development., • UI/UX development aligned with accessibility and responsive design standards., • Experience with AppExchange evaluations and build vs. buy decisions., • Agile/Scrum delivery experience, with strong collaboration and communication skills., • Ability to mentor, influence, and inspire both technical and non-technical stakeholders., • Salesforce product knowledge This is a permanent role with hybrid role, based in London.

Akkodis is a global leader in engineering, technology, and R&D, harnessing the power of connected data to drive digital transformation and innovation for a smarter, more sustainable future. As part of the Adecco Group, Akkodis combines the expertise of AKKA and Modis, with over 50,000 engineers and digital specialists across 30 countries in North America, EMEA, and APAC. Our teams bring extensive cross-sector knowledge in critical technology areas such as mobility, software services, robotics, simulations, cybersecurity, AI, and data analytics, enabling clients to tackle complex challenges in today’s rapidly evolving markets. With a comprehensive solution portfolio across four service lines—Consulting, Solutions, Talents, and Academy—Akkodis supports clients from concept through to full-scale deployment and optimisation. Our diverse offerings help organisations rethink product development, accelerate productivity, reduce time-to-market, and prepare for the future. At Akkodis, you’ll join a dynamic environment that values continuous learning and global collaboration, where you can make a meaningful impact through innovative projects that shape the future of technology. Role Overview: Experienced Technical Architect with a strong background in Artificial Intelligence (AI) and data architecture within the investment banking domain. The ideal candidate will have deep expertise in designing and implementing scalable, high-performance data platforms using modern technologies such as MongoDB, Redis, Elasticsearch, and other tools that enable fast data storage, querying, and exposure. This role requires a strategic thinker with hands-on technical skills and a proven track record of delivering enterprise-grade solutions. Key Responsibilities: • Architect and design AI-driven data platforms to support investment banking applications and regulatory reporting needs., • Define and implement data storage, retrieval, and exposure strategies leveraging technologies like MongoDB, Redis, Elasticsearch, and other NoSQL/relational systems., • Collaborate with business stakeholders, data scientists, and engineering teams to deliver solutions that meet performance, scalability, and compliance requirements., • Ensure data provenance, integrity, and security across all layers of the architecture., • Drive innovation in AI integration, including model deployment, inference optimization, and real-time analytics., • Establish best practices for data architecture, including caching strategies, indexing, and query optimization., • Provide technical leadership and mentorship to engineering teams., • Partner with cloud and infrastructure teams to ensure optimal deployment and cost efficiency., • Maintain compliance with regulatory standards and internal governance frameworks. Required Skills & Experience: 15+ years of experience in technology organizations, with a strong focus on architecture and enterprise solutions. • 5+ years in a similar capacity as a Technical Architect, specifically working with:, • MongoDB (schema design, performance tuning), • Redis (caching, high-speed data access), • Elasticsearch (search and indexing strategies), • Other modern data technologies for fast storage and retrieval., • Strong knowledge of AI/ML integration within enterprise architectures., • Expertise in data modelling, distributed systems, and microservices architecture., • Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes)., • Excellent understanding of data governance, security, and compliance in regulated environments., • Strong communication and stakeholder management skills.

Job Description: Create robust, flexible and scalable ML tooling and infrastructure which supports research scientists to leverage company's powerful infrastructure (through e.g. source control, distributed compute clusters, data storage) Work collaboratively as part of a multifunctional team where communication, documentation and teamwork are highly valued Write clean, maintainable code, debug complex problems that span systems, prioritize ruthlessly and get things done with a high level of efficiency Coordinate with a large set of internal infrastructure and tool teams across the lab and across the company to evaluate and integrate with existing systems Learn constantly, dive into new areas with unfamiliar technologies, and embrace the ambiguity of AR/VR problem solving Bachelor's degree in Computer Science or related field, or equivalent work experience. 4+ years industry experience with deep learning frameworks in Python, such as Pytorch or Tensorflow. 2+ years industry experience working with large, complex data sets for machine learning, including capture and annotation. Demonstrated experience implementing and evaluating working and end-to-end prototypical learning systems. Experience working with high performance or distributed compute solutions. Deployment and continuous integration experience. Familiarity with Machine Learning for Audio, multimodal or DSP purposes Experience writing scalable ML tooling/pipelines for use by researchers Experience in Linux or Windows shell scripting Ability to gather requirements and work closely with researchers to develop novel solutions History of writing code to support the execution of research initiatives We're looking for Python and infrastructure focused software engineers PyTorch or similar AI/ML engines Distributed infrastructure Working with complex, real-world multimodal data Audio Collaboration with research users/customers to deliver robust and stable tooling to address their needs 4+ years of industry experience writing Python / ML code Backfilling a role for an ML pipeline-focussed software engineer, focussing on efficient and scalable infrastructure, and ML frameworks and tooling

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,500+, and has 60 offices in 20 countries within key global markets. We are looking for Engineering Tech Leads with strong expertise in Data Engineering, OpenShift Telemetry, Kafka, Splunk, and LLM‑based observability. This role will lead the design and build of enterprise‑scale telemetry and observability platforms Key Responsibilities: • Design, build, and optimize large‑scale OpenShift telemetry pipelines (metrics, logs, traces)., • Develop Kafka-based streaming solutions—producers, consumers, schemas, and resilient data services., • Engineer multi‑tenant observability data models, ensuring lineage, quality, and SLA compliance., • Integrate enriched telemetry into Splunk for dashboards, alerting, analytics, and proactive insights (Observability Level 4)., • Implement schema governance (Avro/Protobuf), versioning, and compatibility controls., • Build automated validation, replay, and backfill mechanisms for reliable data operations., • Standardize telemetry across platforms using OpenTelemetry for metrics, tracing, and logs., • Leverage LLMs to improve observability workflows—query assistance, anomaly summarization, and runbook automation., • Collaborate with SRE, platform, and application teams on telemetry integration, alerting, and SLOs., • Ensure security, compliance, RBAC, and encryption in all pipeline components., • Maintain clear documentation for data flows, schemas, dashboards, and operational guides. Required Skills: • Strong hands‑on experience with Kafka (producers/consumers, schema registry, KSQL, Kafka Streams)., • Deep understanding of OpenShift/Kubernetes telemetry, Prometheus, OpenTelemetry, and CLI tooling., • Experience integrating telemetry into Splunk (HEC, UF, sourcetypes, CIM) and creating dashboards/alerts., • Proficiency in Python or similar languages for ETL/ELT, enrichment, and validation workflows., • Solid experience with Avro/Protobuf/JSON schemas and compatibility best practices., • Knowledge of observability frameworks and ability to drive towards Level 4 maturity (proactive automation)., • Understanding of multi‑cluster and hybrid cloud telemetry architecture., • Strong grounding in data security, RBAC, secrets management, and encryption., • Excellent communication, analytical thinking, and documentation skills. S YNECHRON’S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Product Engineer (Data / Platform / Applied AI) Location: London (hybrid 3 days onsite) The Opportunity We’re partnering with a rapidly scaling, venture-backed technology startup building a next-generation enterprise data and AI platform. They’re looking for a Product Engineer who thrives at the intersection of product thinking, data engineering, and applied AI. This role is ideal for someone excited about turning real-world complexity into reusable, configurable platform capabilities — enabling enterprise customers to deploy powerful solutions without bespoke engineering every time. In a world where competitive advantage is driven by adaptable platforms rather than one-off implementations, you’ll help lay the technical foundations that allow the product to scale across industries, geographies, and operating models. About the Company The company is developing a category-defining Strategy & Decision Intelligence platform that unifies internal and external data into a single, intelligent system. It enables large enterprises — including global industrial and Fortune 500 organisations — to make clearer, faster, and more durable strategic decisions. Founded by experienced technology and business leaders, the company launched in the early 2020s and has since seen strong enterprise adoption, significant institutional backing, and rapid growth. Their platform combines deep data integration, enterprise-grade workflows, and cutting-edge generative AI to deliver step-change productivity gains for lean teams. As the platform scales, success depends on transforming learnings from customer deployments into core, reusable product functionality. Product Engineering in this environment is about: • Generalising from complex, real-world use cases, • Designing abstractions that work across diverse enterprise contexts, • Building flexible systems that scale without fragmenting You’ll work closely with customer-facing engineers, product leaders, and end users to identify common patterns — then turn them into configurable capabilities within a single, scalable codebase. What You’ll Be Doing • Collaborate with engineers, product managers, and customers to understand emerging use cases, • Translate those use cases into reusable, configurable platform components, • Design scalable data models, workflows, and abstractions that support high variability, • Build and extend generative AI-enabled workflows as part of the core product, • Develop and maintain robust data pipelines using Python, PySpark, and distributed systems, • Balance near-term delivery with long-term platform maintainability and coherence, • Contribute to architectural decisions shaping the evolution of the platform What We’re Looking For • 2–6 years’ experience in data engineering, analytics engineering, or product-focused engineering, • Experience building platforms or products, not just one-off solutions, • Strong ability to turn ambiguous business problems into clean technical designs, • Solid foundations in Python, PySpark, and SQL, • Comfortable operating in a fast-moving startup environment Nice to Have • Experience with modern data platforms (e.g. Foundry, Databricks, Snowflake, dbt, Airflow), • TypeScript experience, • API design and backend product development exposure, • Familiarity with enterprise systems (ERP, CRM, etc.), • Exposure to generative AI systems or AI-enabled workflows What’s On Offer • Join a category-defining, high-growth startup solving complex enterprise problems, • Work alongside a highly experienced, interdisciplinary leadership team, • Strong mentorship and a steep, rewarding learning curve, • Competitive salary and meaningful equity, • Flexible hybrid working and visa sponsorship where required, • Modern London office designed for collaboration, • A company committed to social and environmental responsibility

Do you want to work on some of the most advanced technology in the world? Our client operates one of the most powerful private HPC clusters globally, with 10s of thousands of GPUs (including 1000s of A100s), 100s of petabytes of storage, and almost 10 petabytes of RAM. This cutting-edge infrastructure supports state-of-the-art Deep Learning models that process trillions of data points, driving trading algorithms that handle $300 billion across 80+ exchanges daily. They are one of the youngest, yet most innovative and successful algo trading firms on the planet. All with under 200 people. Their mission? To harness this world-class technology and the expertise of exceptional people like you to make financial markets more efficient and fairer for everyone. Technology is their heartbeat, but they don’t rely on off-the-shelf solutions—they build their own to ensure unparalleled scale, reliability, and resilience. This is where you come in… They are looking for an exceptional C++ Engineer to join their most critical engineering group across the whole firm. This elite team of engineers is responsible for developing all of their on-exchange proprietary trading technology—the single biggest driver of the firm’s revenue. As part of this team, you’ll be among the highest-paid engineers in the company, working on super low-level, close-to-the-metal projects that turn cutting-edge research ideas into reality. What can they offer you? • Build the unimaginable: Explore and work on a wide scope of projects that push the boundaries of technology. From creating an exabyte-scale distributed filesystem to custom compilers for massively parallel computation, your work will be challenging and complex. At every turn, it will contribute to the core trading stack and have a direct impact on the success of the firm., • Work with the Best: Collaborate with some of the most talented engineers, researchers, and quants in the world. You’ll be surrounded by colleagues who are at the top of their fields, pushing the boundaries of technology and finance every day., • Innovation & Impact: Work in a modern, young codebase with minimal legacy code and technical debt. You’ll have the freedom to choose the best technology for the job, allowing you to innovate and deliver at an unmatched scale. They also have a pretty epic office, amazing perks, a great culture and pay very well! What are they looking for? You’re the kind of engineer who knows what’s going on under the hood and thrives on working at the lowest levels of software engineering—borderline hardware. Your expertise includes some blend of modern C/C++ with the following: • Operating systems (Linux Kernels), • CPU architecture, • GPU programming, • Assembly Language, • Hardware knowledge (ASICs/FPGAs) Hit apply or drop me a note to find out more 😊

About Medly AI We're the fastest growing EdTech startup in London, on a mission to change education forever. We're living through a once-in-a-generation moment where AI-native companies are redefining entire industries - Cursor for code, Midjourney for image gen, Harvey for law. Medly is building a generational company for education. In just 4 months since launch, we've achieved retention rates that beat Duolingo and delivered personalized education to over 100,000 users. We're looking for ambitious talent to join our team. Backed by impact-focused VCs and supported by partners including UCL, Innovate UK, Microsoft, and Google, we're becoming the go-to AI education platform for all major exams worldwide. The Role We are looking for a passionate Senior Fullstack Engineer to join our growing team at Medly. This is a new role working closely with our hands-on Technical CEO and other Full Stack Engineers to architect and scale our platform as we grow rapidly. You will play a pivotal role in high-impact projects such as optimizing performance for hundreds of thousands of users, designing scalable system architecture, mentoring junior engineers, and making key technical decisions that shape our product. This is a high-impact opportunity for someone ready to take significant ownership, solve complex challenges at scale, and help power the next generation of educational technology. Role Responsibilities • Architect and build scalable features across our web app (Next.js) and mobile app (React Native), • Design and optimize our Python backend for high performance and reliability at scale, • Lead database architecture decisions and optimize Postgres for growing data volumes, • Own critical infrastructure on AWS, ensuring high availability and cost efficiency, • Drive technical decisions and establish best practices across the engineering team, • Mentor junior engineers and contribute to a culture of engineering excellence, • Collaborate closely with the CEO and other Full Stack Engineers on high-impact projects Technical Requirements • 3+ years of fullstack engineering experience in high-traffic production environments (100k+ users), • Strong proficiency with Next.js and modern React patterns, • Deep knowledge of Python and building performant backend services, • Advanced SQL skills and experience optimizing Postgres at scale, • Experience with AWS services (EC2, RDS, Lambda, S3, or similar), • Track record of building and maintaining systems that handle significant user load Ideal Candidate • Quality Focus: Obsessive attention to detail and commitment to shipping polished, bug-free experiences, • Collaborative Spirit: Ability to work closely with designers, product managers, and other developers, • Educational Interest: Passion for education and learning, though specific EdTech experience isn't required, • Startup Mindset: Thrives in fast-paced environments with rapid iteration and high impact, • Innovation Drive: Excited by the opportunity to build cutting-edge educational technology What We Offer • Competitive salary, • Opportunity to make a real impact on educational outcomes for students worldwide, • Collaborative, diverse team united by a powerful mission, • Fast-paced environment with significant growth and development opportunities, • Regular team events and a culture focused on innovation and impact, • Work on products used by tens of thousands of students daily, • Shape the future of AI-powered education

Data Engineer – Modern Data & AI Platforms London (Hybrid 2 days) | Contract/Permanent | 🌍 Global Consulting Environment Build the data foundations behind AI, automation, and real-world impact. We’re hiring a Data Engineer to join a fast-growing digital and data practice working with a major global enterprise client operating across energy, manufacturing, chemicals, infrastructure, automotive, and commodities. This is a hands-on engineering role where you’ll design and run the data systems that power analytics, automation, and AI-driven solutions — working alongside consultants, analysts, and data scientists in a true delivery-focused environment. No prior experience with our specific data platform is required. If you’re a strong engineer who enjoys learning new tools and solving real business problems with data, we’ll get you there. 🌟 What you’ll be doing • Designing and building robust, automated data pipelines on a modern cloud data platform, • Transforming and integrating data from multiple sources — databases, APIs, files, and unstructured formats, • Owning and improving existing data solutions: monitoring, debugging, enhancing, and scaling them, • Developing back-end logic, APIs, and data services that support analytics and AI use cases, • Preparing high-quality datasets for dashboards, advanced analytics, and machine learning, • Collaborating closely with consultants, analysts, and data scientists to deliver end-to-end solutions, • Contributing to proofs of concept, client roadmaps, and technical proposals, • Supporting data governance, security, and best practices, • 3+ years working as a Data Engineer or in a similar data-focused engineering role, • Strong Python and SQL skills, • Experience building and orchestrating data pipelines (Airflow or similar tools), • Hands-on work with cloud platforms (AWS and/or Azure), • Solid understanding of databases, data warehouses, and data lakes, • Experience integrating systems via APIs and back-end services, • Comfortable working with version control and CI/CD workflows, • Exposure to analytics or AI-driven solutions, • Experience working with unstructured data (text, PDFs, web data), • Familiarity with web frameworks or lightweight front ends, • Power BI, data visualisation, or analytics modelling experience, • Awareness of machine learning, LLMs, or vector databases, • Work with a global consulting organisation delivering data solutions at scale, • Exposure to enterprise-grade data and AI platforms, • A role that blends deep engineering with real business impact, • Ongoing training and support to learn new tools and technologies, • Clear progression toward Senior Data Engineer and beyond, • Data Engineers who enjoy building things that actually get used, • Engineers ready to step into a broader, more impactful role, • Professionals curious about AI, automation, and modern data platforms Apply now with your latest CV showing all your relevant experience and email your CV with daily/rate/salary expectations, availability to interview and start

We're looking for AI engineers who want to build production-ready AI solutions that tackle real-world challenges in life sciences, from RAG chatbots to agentic AI systems supporting evidence-driven projects. You will design, develop, and deploy AI systems that have measurable impact, influence patient access to treatments, and support decision-making in healthcare. Our client is a fast-growing life sciences technology company with offices in the UK and Europe. They specialise in applying AI to accelerate patient access to treatments through practical, evidence-driven solutions. The company values collaboration, innovation, and creating a culture where employees can grow and make a tangible impact in healthcare. Key responsibilities • Design, develop, and deploy AI systems with a focus on RAG chatbots and agentic AI., • Lead real-world evidence projects, ensuring AI solutions are reliable, measurable, and impactful., • Implement data pipelines, retraining workflows, and monitoring to maintain model performance., • Design evaluation metrics to assess accuracy, latency, UX quality, safety, and real-world utility., • Collaborate with product, software, and platform teams to deliver scalable, production-ready AI solutions., • Champion software engineering best practices, including code reviews, testing, CI/CD, and reproducibility., • Ensure AI solutions meet security, compliance, and responsible AI standards. Skills & expertise • Mid-to-senior AI engineer with 3+ years in data science or software engineering, including substantial AI experience., • Strong Python skills and experience with LLM APIs (OpenAI, Anthropic, or similar)., • Expertise in GenAI frameworks (LangChain, LlamaIndex, Haystack, Hugging Face Transformers)., • Hands-on experience with RAG pipelines, vector databases (Pinecone, FAISS, Weaviate), and chatbot deployment., • Proven experience with agentic AI (tool use, planning, multi-step reasoning) and production-level systems., • Experience delivering AI solutions in real-world or evidence-driven projects, preferably in life sciences., • Strong communication skills and understanding of AI ethics, bias mitigation, and responsible AI practices. Desirable skills • Model fine-tuning, knowledge graphs, or multi-modal AI systems., • AWS or other cloud platform experience for scalable GenAI deployment., • Client-facing experience in AI projects. Benefits • Hybrid working model (UK & Europe)., • Career development and professional growth opportunities., • Collaborative culture with a focus on impact and innovation., • Health insurance and wellness programmes., • Access to cutting-edge AI tools and projects. Your consultant As a Recruitment Consultant at Aspire Life Sciences, Jack Wilson specialises at the intersection of technology and life sciences. He focuses on placing high-level Data, AI and Machine Learning talent with fast-growing startups across the UK, Europe, and the USA. Jack’s deep industry insight allows him to connect candidates with roles where cutting-edge technology meets life-saving healthcare innovation.

Job Title: AI/ML Research Engineer (London, UK) Location: Must be based London, UK Employment Type: Permanent Work Model: Hybrid (London) Introduction: Our client (international) is a collection of engineers and designers who want the world to connect beautifully. Their team first came together to build one of the world's first Massive MIMO 5G networks from the first base station to the first 5G customer. Today, they design and engineer a range of 5G smart routers connecting homes and businesses around the world, with their devices currently serving over a million customers globally. They have a deep understanding of mobile networks and the challenges customers face every day and they're putting this knowledge to work, engineering and designing better ways to connect. They are establishing a new AI/ML engineering team in London to extend these capabilities. This is a foundational role, you will be among the first hires, helping to shape the technical direction, culture, and practices of a function at the forefront of wireless technology innovation. We are seeking individuals with a deep, first-principles understanding of machine learning, not simply experience integrating APIs or applying pre-built models, but genuine expertise in how and why these systems work. The ideal candidate will bring experience from research or academic environments and can apply that rigour to delivering production-ready solutions. Role Overview: This is an opportunity to help build something from the ground up. As part of a newly formed AI/ML team, you will play a central role in establishing how our client approaches machine learning, from research methodology to engineering practices to team culture. This is not a role where you will inherit existing systems; you will be creating them. The role requires expertise that spans both research and engineering. The ideal candidate will have invested significant time developing a thorough understanding of machine learning fundamentals, whether through academic study, industry research, or rigorous self-directed learning, and will have demonstrated experience applying that knowledge to build production systems. We are looking for practitioners who understand the mechanics beneath the abstractions, not those whose experience is limited to high-level tooling and prepackaged solutions. The role encompasses the full spectrum of ML development: researching and prototyping novel approaches where existing methods are insufficient, and engineering robust solutions that operate reliably at scale. You will work with telecommunications data including time series, network telemetry, and sensor data to address complex operational challenges in wireless technology. What You'll Do: • Develop ML models for telecoms and hardware applications: anomaly detection, predictive maintenance, demand forecasting, network optimisation, signal processing, • Research novel approaches when existing methods fall short, read papers, run experiments, iterate, • Implement algorithms from scratch when needed; understand what's happening under the hood, • Take models from research prototype through to production deployment, • Work with large-scale time series, sensor data, and network telemetry, • Collaborate with hardware and network engineers to understand problems deeply, • Design rigorous experiments and evaluation frameworks, • Contribute to technical direction and help shape how we build ML here What We're Looking For: First-Principles Understanding Candidates must demonstrate substantive depth in ML fundamentals, including the ability to: • Explain the mechanics and rationale behind core algorithms, gradient descent, backpropagation,, • attention mechanisms, regularisation techniques, • Understand the mathematical foundations underpinning these concepts, including linear algebra, calculus, and probability theory, • Reason about model behaviour from first principles during analysis and debugging, • Read research papers and implement key concepts independently, • Evaluate when different approaches are appropriate and articulate associated tradeoffs The path to this understanding is less important than the understanding itself. Formal academic training, industry research experience, and rigorous self-directed study are all valid routes.

Locai Labs is The British Foundational AI Company based in Paddington London. We are dedicated to building world class large language models at the forefront of cost and efficiency. Our mission is to advance cutting-edge AI from within the UK by combining deep technical innovation with engineering excellence to create powerful scalable models that compete on the global stage. Our models are designed not just for performance, but for real-world deployment powering bespoke agentic applications that solve complex challenges across enterprise and consumer domains. The Role We are seeking a DevOps / Platform Engineer to maintain and enhance our existing platform infrastructure, with opportunities to contribute to backend development when needed. Our systems are already live and in active use, so your focus will be on reliability, performance, automation, observability, and clean, maintainable Infrastructure-as-Code. You’ll also support Python and Node.js backend services. This role is centred on operational excellence, continuous improvement, and technical ownership. The position is based at our Paddington HQ and reports directly to the Chief Technology Officer (CTO), ensuring close alignment with our technical vision and strategic roadmap. Responsibilities • Maintain and evolve cloud infrastructure, primarily on Google Cloud Platform (GCP), with some exposure to AWS and Azure, • Write, review, and manage modular, reusable Terraform code, • Operate and enhance CI/CD pipelines using GitHub Actions, • Containerise and deploy backend applications using modern tooling (e.g., Docker, Kubernetes), • Implement and manage comprehensive logging, monitoring, and alerting systems, • Contribute to the backend codebase for service integrations, internal tooling, and incident resolution, • Improve developer workflows and internal automation to increase team velocity, • Proven experience operating production-grade systems in a live environment, • 1–3 years experience in DevOps, Cloud Engineering, or Platform Engineering roles, • Hands-on experience with Infrastructure-as-Code using Terraform (modular and reusable patterns preferred), • Strong foundation in Linux, networking, and container technologies, • Experience deploying and managing applications on at least one major cloud provider (GCP preferred; AWS or Azure acceptable), • Experience working with relational databases in production environments (e.g., Postgres, MySQL), including basic performance troubleshooting, migrations, backups, and access control., • Familiarity with observability tools such as Prometheus, Grafana, ELK stack, or OpenTelemetry, • Experience with container orchestration platforms, particularly Kubernetes, • Ability to systematically troubleshoot and debug distributed systems, • Production experience with Google Cloud Platform (GCP), • Knowledge of security and IAM best practices, including role design, policy management, and access boundaries, • Experience optimising CI/CD pipelines for speed, reliability, and developer experience (e.g., caching, incremental builds, rollback strategies) You will join a small, highly technical team where your voice will be heard, and your contributions will directly shape our platform and products. We value ownership, curiosity, and a collaborative mindset. You’ll work onsite at our Paddington HQ, embedded within a close-knit engineering team that values transparency, continuous learning, and impactful work. This role reports directly to the CTO, offering a unique opportunity to influence technical direction from the ground up. Application Process As part of your application, please complete the accompanying form in addition to submitting your CV. Interview Stages: • Application Review – We assess your background and experience., • Take-Home Technical Assessment – A practical exercise to evaluate your engineering approach and problem-solving skills., • Technical & Team Fit Interview – A virtual discussion covering your technical expertise, past projects, and cultural alignment., • In-Person Assessment at HQ – A final visit to our Paddington office for deeper technical discussions, collaboration exercises, and team interactions., • Offer – Successful candidates will receive a formal offer following the final stage. If this sounds like you, no need to send us your CV. Just fill in the form below 👇 Strictly no agencies or recruiters. We are only accepting direct applications from candidates.

Job Role: Lead Software Engineer, React Native Job Type: Full Time, Permanent Location: London, Hybrid (3 office days a week) Role purpose As a valued member of our engineering team, you will contribute to the development of our innovative application using React Native. Working with a modern JavaScript stack, your primary focus will be on coding, testing, and enhancing the functionality of Travelex's and partner mobile applications. In this role, you will collaborate closely with our Principal Engineer and the Mobile Apps team members. While this is primarily an engineering role, we are always looking for developers who have a keen eye for product and who can contribute to the development of features at a product level before they are implemented. If you are eager to be part of a dynamic team, contribute to Travelex's digital-first strategy, and be part of a company that values its employees while prioritizing work-life balance, we invite you to explore this exciting opportunity with us. Key accountabilities and decision ownership: Technical Leadership • Lead the design and implementation of key features and components of our React Native mobile application., • Make informed technical decisions that improve performance, reliability, and scalability., • Participate in architectural discussions and help shape the technical direction of mobile applications., • Provide support and unblock engineers during development, testing, and integration. Project Ownership & Delivery • Own the technical delivery of high-visibility features or workstreams., • Work with Product and Design to refine requirements, contribute to planning, and identify risks early., • Break down complex tasks into clear, manageable deliverables for the team., • Communicate progress and technical considerations clearly to stakeholders. Collaboration & Mentorship • Mentor and support engineers, helping them grow their technical skills and confidence., • Lead by example in code reviews, ensuring best practices and quality standards are upheld., • Help foster a healthy engineering culture based on learning, knowledge sharing, and accountability. Engineering Quality • Champion strong testing, code quality, and performance practices., • Knowledge of best practices in security, performance and accessibility, • Identify areas for improvement within the codebase and contribute to long-term maintenance plans. Skills, knowledge, and experience: Must have: • 8+ years of software development experience, • 5+ years of professional experience in React Native, • Strong proficiency with TypeScript, React Native (or Expo), and mobile development patterns., • Proven track record of shipping complex mobile applications to production, • Comfortable mentoring peers and supporting technical decision-making., • Solid understanding of API integration (GraphQL and/or REST)., • Strong communication skills — able to work effectively with engineers, product managers, and designers., • Experience with native modules and bridging in React Native, • Familiarity with state management libraries (Zustand, Redux, MobX etc.), • Experience with the testing pyramid and tools such as Vitest, Jest, React Native Testing Library, Maestro, Detox Nice to have: • Experience with iOS (Objective-C, Swift) or Android (Java, Kotlin) native development., • Experience with mobile release processes for the App Store and Play Store., • Experience with performance optimisation and profiling in React Native., • Familiarity with analytics and crash reporting tools., • Experience building internationalised mobile applications, • Experience developing white-label applications Why Travelex? To remain the world’s leading foreign exchange specialist, we are focused on making our customers’ lives simpler, more engaging and hassle free while they travel or move money abroad. We promise to give them the freedom and peace of mind to explore the world, their way – enabling them to travel confidently because they know they have us to lean on. Customer centricity and digital are at the heart of our business strategy. Our commitment to innovation has never been greater, with the development of a number of digital-first, greenfield products and services. And with the Travelex's resources, deep industry experience and leading brand we are inventing the future of FX, cross-border e-commerce and international payments. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK RippleX is dedicated to empowering the builders of tomorrow on the XRP Ledger (XRPL), one of the world’s fastest and most reliable public blockchains. We believe in democratizing the digital economy by providing practical support, empowering a community of developers, and offering the expertise of a visionary technology company. The XRPL is a decentralized, public blockchain led by a global community of businesses and developers looking to solve problems and create value. Proven reliable over more than a decade of operation and closing over 90 million ledger, the XRPL offers streamlined development, low transaction costs, high performance, and sustainability. We are looking for senior engineering talent to help us maintain this high technical bar, while building innovative solutions to ensure the XRPL can power the growing needs of the global digital economy. WHAT YOU'LL DO • Increase the capabilities, performance, scalability, and reliability of the XRP ledger., • Participate in the full software development lifecycle, including architecture, technical design, C++ development, bug fixing, as well as functional and performance validations., • Be part of the open-source XRP ledger community, setting high standards for coding, testing, and deployment., • Actively participate in code reviews to maintain the high quality of our codebase.WHAT YOU'LL BRING, • Bachelor’s in computer science or similar, and 5+ years of recent hands-on software product development experience using C++., • Experience in backend distributed systems development., • Passion for blockchain technology and its potential benefits., • Ability to learn new technologies and languages quickly., • Ability to independently solve highly complex problems with creative solutions. Do Your Best Work • The opportunity to build in a fast-paced start-up environment with experienced industry leaders, • A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning., • Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team., • In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in., • Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team, • Competitive salary, bonuses, and equity, • Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support, • Employee giving match, • R&R days so you can rest and recharge, • Generous wellness reimbursement and weekly onsite & virtual programming, • Generous vacation policy - work with your manager to take time off when you need it, • Industry-leading parental leave policies. Family planning benefits.

Role – Data Platform Architect Technology – Snowflake, SQL Server, Power BI, Azure, Confluent Location – London, UK Job Description We are seeking a seasoned Platform Lead to architect and manage enterprise data platforms across cloud and on-prem environments. The role demands deep expertise in Snowflake, SQL Server, Power BI, Azure, and Confluent technologies. You will lead platform strategy, administration, and integration to support scalable analytics and data engineering solutions. Responsibilities include performance optimization, governance, automation, and enabling secure, reliable data flows. This role requires strong leadership, cross-functional collaboration, and hands-on technical proficiency. Your role As a Platform Lead, you will be responsible for architecting, managing, and optimizing enterprise data and analytics platforms across cloud and on-prem environments. You will lead platform strategy and operations for technologies including Snowflake, SQL Server, Power BI, Azure, and Confluent, ensuring high availability, performance, and scalability. You will collaborate with cross-functional teams to design and implement platform solutions that support data engineering, analytics, and business intelligence initiatives. Your role will involve hands-on administration, automation, monitoring, and governance of platform components, while also driving integration across data pipelines, storage layers, and visualization tools. As a senior leader, you will guide platform modernization efforts, enforce security and compliance standards, and support DevOps/DataOps practices. You will participate in architecture reviews, mentor platform engineers, and contribute to building capability across the organization. Your work will enable seamless data flow, empower analytics teams, and support strategic decision-making by ensuring a robust, secure, and scalable data platform foundation. Responsibilities -Lead platform architecture and administration across Snowflake, SQL Server, Power BI, Azure, and Confluent. -Design and implement scalable, secure, and high-performing data platform solutions. -Collaborate with engineering, analytics, and business teams to align platform capabilities with business needs. -Ensure platform reliability, performance tuning, and cost optimization. -Drive automation, monitoring, and CI/CD integration for platform components. -Enforce data governance, security, and compliance standards. -Mentor and guide platform engineers and administrators. Required -Proven experience in administering and architecting Snowflake, SQL Server, Power BI, Azure, and Confluent platforms. -Strong understanding of cloud infrastructure, data integration, and analytics workflows. -Hands-on experience with platform monitoring, automation, and DevOps tools. -Knowledge of data governance, security, and compliance frameworks. -Excellent communication and leadership skills. -Experience in managing hybrid environments (on-prem and cloud). Personal Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include: -High analytical skills -A high degree of initiative and flexibility -High customer orientation -High quality awareness -Excellent verbal and written communication skills Why Infosys Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. “All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.” “By applying via Easy Apply option you confirm you have read, and you accept Infosys Data Privacy notice for the country of the job posting. Please see the relevant Data Privacy Notice under the link: ___.”

Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few! Job Description Your Career As a Professional Services Consultant, you will be a pivotal technical expert, spearheading the successful deployment and initial configuration of our Prisma Access Browser (PAB) solution for customers. This is a highly impactful, hands-on role where you will directly translate customer security requirements into a fully operational and optimized cloud-delivered browser security solution. Working closely with customers, solution consultants, and project managers, you will implement PAB according to best practices and customer-specific needs. Beyond deployment, you will be a proactive driver, navigating complex environments, anticipating roadblocks, and accelerating our customers' journey to a Zero Trust architecture. You will solidify customer partnerships with Palo Alto Networks by ensuring they successfully adopt and maximize the value of PAB. If you thrive on technical challenges, leading complex deployments, and being the face of strategic, results-driven implementation, this is your next career move. Your Impact • Proactively Drive Technical Deployment: Execute the complete technical lifecycle of PAB implementation, including secure tenant setup and complex Identity Provider (IdP) integrations. Take ownership of the deployment timeline, proactively managing and overcoming any customer hesitations or delays to ensure rapid time-to-value., • Translate Strategy to Security Policy: Convert customer business and security designs into practical, effective PAB configurations, focusing on access controls, data loss prevention (DLP) rules, and web security policies., • Drive Adoption: Guide customers through the secure and large-scale deployment of the PAB extension/client to end-user devices using various enterprise deployment methods (e.g., GPO, MDM)., • Be a Proactive Technical Advisor: Serve as the go-to expert for PAB best practices, advanced feature utilization, and performance tuning, actively monitoring environments to pre-emptively identify, recommend, and resolve potential issues or areas for security posture improvement., • Resolve Complex Escalations: Act as the primary technical escalation point, performing deep-dive root cause analysis and coordinating across Support, Engineering, and Product teams for timely resolution., • Document and Transfer Knowledge: Create high-quality, customer-specific "as-built" documentation and deliver comprehensive operational training and knowledge transfer to customer administrators., • Advocate for the Customer: Capture and translate valuable field feedback into actionable feature requests, serving as a critical internal voice for product improvement and development., • Maintain expert-level understanding of Prisma Access Browser: Stay updated on latest product releases, security trends, and industry best practices. Actively participate in relevant training and certification programs to maintain technical proficiency. Qualifications Your Experience • 8+ years of experience required in a hands-on, technical, customer-facing role such as Professional Services Consultant, Technical Account Manager, or Senior Sales Engineer., • Proven track record of proactive engagement; the ability to take initiative to push customers toward successful deployment, manage project risks, and navigate organizational challenges or pushback to maintain project velocity., • Expert-level knowledge of core networking concepts (TCP/IP, DNS, HTTP/S) and enterprise security principles (Zero Trust, SASE, Firewall, Proxy, VPN)., • Demonstrated ability to independently lead and execute complex technical projects in customer environments, driving deployment to successful completion., • Advanced analytical and troubleshooting skills with a methodical approach to identifying, diagnosing, and resolving technical issues (Root Cause Analysis)., • Exceptional verbal and written communication skills with a proven ability to convey complex security topics to diverse technical and non-technical stakeholders., • Experience with Identity and Access Management (IAM) and authentication protocols, specifically integrating solutions with IdPs like Azure AD or Okta using SAML 2.0., • Familiarity with cloud and SaaS security architecture and the challenges associated with securing modern applications and browsers., • Knowledge of Prisma Access deployment, architecture, and traffic flows. These skills are desired and will be prioritized, accelerating time-to-value in the role: • Basic knowledge of enterprise tools for large-scale device deployment (e.g., Microsoft Intune, Jamf, SCCM)., • Industry certifications such as Palo Alto Networks (PCNSA, PCNSE), CISSP, or cloud-specific security certifications., • Basic scripting ability (e.g., PowerShell, Python) for automation or data manipulation. Additional Information The Team Our Professional Services team is critical to our success and mission. As part of this team, you enable customer success by providing support to clients post-sale. Our dedication to our customers doesn’t stop once they sign — it evolves. As threats and technology evolve, we stay in step to accomplish our mission. You’ll be involved in implementing new products, transitioning from old products to new, and fixing integrations and critical issues as they are raised. But you won’t wait for them to be raised, you’ll seek them out, too. We fix and identify technical problems with a pointed focus of providing the best customer support in the industry. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $140000 - $192500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found ___. Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.