Trabajos ai engineer en Reino Unido

base地设定在上海，全职和实习皆可，欢迎全球各地优秀的华人加入。 【关于衍复】 上海衍复投资管理有限公司成立于2019年，是一家用量化方法从事投资管理的科技公司。 公司策略团队成员的背景丰富多元：有曾在海外头部对冲基金深耕多年的行家里手、有在美国大学任教后加入业界的学术型专家以及国内外顶级学府毕业后在衍复成长起来的中坚力量；工程团队核心成员均来自清北交复等顶级院校，大部分有一线互联网公司的工作经历，团队具有丰富的技术经验和良好的技术氛围。 公司致力于通过10-20年的时间，把衍复打造为投资人广泛认可的头部资管品牌。 衍复鼓励充分交流合作，我们相信自由开放的文化是优秀的人才发挥创造力的土壤。我们希望每位员工都可以在友善的合作氛围中充分实现自己的职业发展潜力。 【工作职责】 1、负责机器学习/深度学习模型的研发，优化和落地，以帮助提升交易信号的表现； 2、研究前沿算法及优化技术，推动技术迭代与业务创新。 【任职资格】 1、本科及以上学历，计算机相关专业，国内外知名高校； 2、扎实的算法和数理基础，熟悉常用机器学习/深度学习算法(XGBoost/LSTM/Transformer等)； 3、熟练使用Python/C++，掌握PyTorch/TensorFlow等框架； 4、具备优秀的业务理解能力和独立解决问题能力，良好的团队合作意识和沟通能力。 【加分项】 1、熟悉CUDA，了解主流的并行编程以及性能优化技术； 2、有模型实际工程优化经验（如训练或推理加速）； 3、熟悉DeepSpeed, Megatron等并行训练框架； 4、熟悉Triton, cutlass，能根据业务需要写出高效算子； 5、熟悉多模态学习、大规模预训练、模态对齐等相关技术。

AI Engineer London, hybrid, three days onsite Salary up to £85000. This is an opportunity to join a newly built AI function within a global digital transformation consultancy. You will help shape innovative AI solutions for high profile clients while working alongside experienced architects and technical leaders in a team that is being heavily invested in. The Company They are an established global consultancy providing technology and data transformation services across a wide variety of industries. With operations spanning multiple continents, they partner with organisations to solve complex data challenges and to accelerate AI adoption. They are expanding a specialised team dedicated to delivering AI solutions for clients in the audit domain, with significant long term growth planned. The Role • Implement AI agent solutions designed by the architecture team., • Build and deploy production grade models using Python, ML and NLP techniques., • Work with modern LLMs including GPT, Llama, Claude and Mistral., • Contribute to solution development while learning best practice from senior engineers and architects., • Collaborate closely with client facing teams and technical leads as part of a multidisciplinary delivery function. Your Skills and Experience • Strong practical experience with Python for machine learning or NLP., • Hands on exposure to modern LLMs and ability to work with models such as GPT, Llama, Claude or Mistral., • Understanding of how to implement AI solutions rather than build foundational models., • Ability to work collaboratively and contribute to end to end solution delivery. What They Offer • Salary up to 85000 depending on experience., • Hybrid working, three days in the office., • The chance to grow quickly in a newly established AI engineering capability., • Access to industry leading expertise, tooling and enterprise scale AI projects. How to Apply Please apply with your CV and a consultant will be in touch.

AI Engineer Location: London (Onsite - 5 days per week) Type: Permanent Salary: £200,000 + generous equity package Interview Process: 2-4 stages I'm hiring for two YC-backed startups building foundational AI infrastructure - one focused on advancing reasoning capabilities, the other on streamlining how teams deploy and monitor models in production. What we're looking for: • Strong academic background in Computer Science, Mathematics, or related field, • Founding engineer mindset with ownership mentality, • Series A-C scale-up experience (ideally in fast-growth environments) Role 1: AI Engineer • Expert-level Python with exposure to frontend technologies (TypeScript/React preferred), • Hands-on experience with LLMs, prompt engineering, and evaluation frameworks, • Ability to ship AI-powered features end-to-end, • Minimum 3 years of experience Role 2: Applied AI Engineer • Strong backend engineering experience (Python preferred), • Deep knowledge of CI/CD, Docker, Kubernetes, and Git workflows, • Experience building RAG pipelines and AI agent orchestration systems, • Minimum 5 years of experience 📩 Interested? Message me here or email

The Siena Partnership are working with a leading financial services organisation is seeking a Senior Full Stack AI/ML Engineer for an initial 6-month contract (with the potential to extend or go perm). This role focuses on taking AI models built by a third-party provider and turning them into robust, production-grade systems, while helping establish a long-term internal AI/ML engineering capability. What you’ll do • Deploy and operationalise AI/ML models into live production environments, • Build observability, monitoring, and continuous evaluation to manage model performance and drift, • Design and implement CI/CD pipelines for scalable, reproducible model delivery, • Optimise performance, reliability, and efficiency of existing AI solutions, • Set up tooling for model serving, versioning, and lifecycle management, • Lead documentation, knowledge transfer, and mentoring to upskill internal teams Technical requirements • Strong Python and ML frameworks (PyTorch, TensorFlow), • MLOps tooling (MLflow, Kubeflow or similar), • Databricks, • Docker, Kubernetes, CI/CD pipelines, • Cloud platforms (AWS, Azure or GCP); Terraform experience preferred, • Financial services experience highly desirable A hands-on role with real impact, autonomy, and senior stakeholder exposure.

Applied Research 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 Applied Research Engineer to join at early stage, with real ownership of the depth of knowledge and retrieval infrastructure. This role suits someone with a strong academic background from a leading university, alongside clear evidence of success in high ownership projects. Experience with knowledge graphs and information retrieval is essential: Responsibilities • Design knowledge graphs, • Build advanced information retrieval systems, • Create robust information extraction pipelines, • Translate research into production infrastructure 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 £70k plus substantial 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.

Do you want to build GenAI solutions at speed, not get stuck in long delivery cycles? Have you worked on AI PoCs, MVPs or demos that needed to show value fast? Are you excited by hands-on building, experimentation and client interaction? This role sits within the innovation arm of a global technology consultancy, operating like a startup inside a larger organisation. The team focuses on rapid AI prototyping, co-creation and experimentation with enterprise clients, delivering proof-of-concepts and MVPs in weeks rather than months. You’ll work in small, cross-functional squads alongside AI Architects and consultants, building and iterating AI solutions live with client feedback before successful ideas are handed over to scale teams. The Role As an AI Engineer, you’ll be responsible for rapidly designing, building and iterating AI-powered PoCs and MVPs. This is a highly hands-on role focused on GenAI, agentic systems and demo-ready solutions, where speed and practical impact matter more than long-term optimisation. Key Responsibilities • Build AI PoCs and MVPs in fast innovation cycles (2–6 weeks), • Develop GenAI solutions using LLMs, SLMs and vision models, • Implement RAG pipelines and agentic workflows, • Build lightweight APIs using Flask or Django, • Deploy solutions using serverless and cloud-native services, • Collaborate in client workshops, demos and innovation sprints, • Experiment with emerging AI tools and frameworks Key Details • Salary: £70k–£85k base (flexible for strong profiles), • Working model: Hybrid, 3 days per week in London office, • Tech stack: Python/JavaScript, GenAI (RAG, LangChain, LlamaIndex), agentic frameworks, Azure/AWS, • Visa: No sponsorship available Interested? Please apply below.

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

At Aturiya AI, we're building an AI-powered GTM platform that automates outbound sales at scale. Small team, moving fast, shipping weekly. We need someone who can own the technical roadmap - not wait for one to be handed to them. The role: You'll be the engineering lead on the product. That means you decide how things get built, not just build what's specified. You'll ship features end-to-end: from problem framing through to production. The stack is Next.js/React on the front, FastAPI/Python on the back, PostgreSQL/Supabase for data, deployed on Vercel/AWS. Day-to-day looks like: • Designing and building core platform features (email automation, lead generation, integrations, MCPs), • Making architectural calls on LLM orchestration, eval pipelines, and agent reliability, • Shipping fast, iterating from real user feedback, not spec documents, • Working directly with founders on product direction What we're looking for: • You've built and shipped products, not just features. You can point to something real., • You're strong across the stack but especially deep in Python/FastAPI and React/Next.js., • You've worked with LLMs in production - prompt engineering, evals, handling non-determinism. Not just tutorials., • You have taste. You care about UX, API design, code structure - not because someone told you to, but because sloppy work bothers you., • You default to action. When something's unclear, you make a call and move. You don't wait for permission or perfect information., • 3+ years building software professionally. More matters less than what you've actually shipped. How we work: • Small team, high trust, high accountability. We ship and measure outcomes, not hours., • Direct communication. No politics, no layers. If something's broken, say it. If you disagree, say it., • This is not a role to coast at work. If you want low stakes and a predictable 9-to-5, this isn't it., • Hybrid (London) or remote., • Compensation - above-median salary for the right person. We pay well for exceptional talent. To apply: We’re building for a world where AI agents run most GTM — we want builders who think from first principles, move fast, and care deeply about product impact. Don't just send a CV. Show us something you've built. A side project, an open-source contribution, a demo, a write-up of a hard technical problem you solved - anything that shows how you think and what you ship. A coding walkthrough works too. Email us at:

Senior Software Engineer 📍 London (Hybrid – South West London) 💰 £65,000–£90,000 + Equity Build the Future of Property Tech Residential property management is still run on spreadsheets and fragmented processes. We’re a seed-stage startup bringing intelligence, automation, and AI-driven optimisation to appliance procurement and lifecycle management at scale. We’ve proven early product–market fit and are now scaling. We’re hiring a Senior Software Engineer who wants real ownership and a clear path into technical leadership, with genuine progression to Head of Technology. What You’ll Do • Design and ship AI and LLM-powered features (OpenAI, Anthropic), • Build scalable backend systems in Python and Django, • Lead technical design and evolve system architecture, • Manage third-party integrations (payments, messaging, supplier APIs), • Improve performance, reliability, and security, • Mentor a junior developer and raise engineering standards Tech Stack: Python, Django, PostgreSQL, HTML, CSS, JavaScript, Bootstrap, HTMX Heroku, GitHub Actions You’ll Need • 3–5 years professional software development experience, • Strong Python and Django experience, • Hands-on LLM API integration experience, • Solid relational database knowledge, • Cloud deployment experience (Heroku or AWS ideal), • Based in London, hybrid (3 days in South West London office), • Right to work in the UK What’s On Offer • £65,000–£90,000 salary, • Equity options, • Clear leadership progression, • Hybrid working and collaborative culture

This is a job that Scout, our AI Recruiter, is recruiting for on behalf of one of our clients. She will pick the best candidates from ivee's network. The next step is to create an ivee profile. Junior Front-End Engineer Company Description: Fast-growing scale-up The Front-end Engineer will be responsible for building responsive and user-friendly web applications. You will work closely with designers and back-end developers to create seamless user experiences using modern front-end technologies. You will write clean, maintainable code and ensure optimal performance across all devices. Key responsibilities: • Develop new user-facing features using React, Vue, or Angular, • Build reusable code and libraries for future use, • Ensure the technical feasibility of UI/UX designs, • Optimise applications for maximum speed and scalability, • Collaborate with back-end developers and web designers, • Implement responsive design principles, • Conduct code reviews and mentor junior developers, • Stay up-to-date with emerging front-end technologies What we're looking for: • 3+ years of front-end development experience, • Strong proficiency in JavaScript, HTML, CSS, • Experience with modern front-end frameworks (React, Vue, or Angular), • Knowledge of RESTful APIs and async request handling, • Familiarity with version control tools (Git), • Understanding of cross-browser compatibility issues, • Experience with build tools (Webpack, Babel, npm), • Strong problem-solving and communication skills How to apply: Click apply to submit your application. To be automatically shortlisted for future roles like this, head to ___ to make a free account. Don't forget to upload your CV and write a bio to begin being headhunted for your dream position!

About the Company We are working with an exciting Series B company that is committed to empowering small and medium-sized businesses, helping them maintaining healthy cash flow, often complicated by the complexities of payment management. They address this by digitising and streamlining payments—from invoice capture and issuing expense cards to managing receivables and payables—all within a single platform. It is a rapidly growing team of around 100 people that operates across multiple countries, backed by leading investors, About Our Engineering Culture • Engineers are central to their mission. Here’s what defines their approach:, • Customer-first focus: leverage top-tier technology to create solutions that genuinely make users’ lives easier., • Ownership: plan, break down, and deliver the work end-to-end., • Embracing complexity: Navigating the intricate logic of finance requires care, attention to detail, and a passion for problem-solving., • Code quality: prioritise writing code that is robust, performant, and future-ready., • AI integration: utilise advanced tools to enhance the product and streamline processes. What You’ll Do As a Senior Backend Engineer on the team, you will: • Collaborate cross-functionally with product, frontend, and design teams to develop new features., • Design and build core financial integrations that ensure the security and efficiency of customer transactions., • Share knowledge with your peers, drive innovation, and proactively suggest improvements. What We’re Looking For • 6+ years of continuous experience as a backend engineer., • Ideal proficiency in JVM-based languages (consideration for others possible)., • Experience in a product-driven, fast-paced environment (e.g., startup or tech company)., • Willingness to work with Kotlin (current server-side language)., • Experience with relational databases., • Working knowledge of cloud platforms, preferably Google Cloud Platform., • Strong commitment to code quality, efficient architecture, and performance optimisation. Bonus Points • Advanced knowledge of JVM-based languages, particularly Kotlin., • Experience with Kubernetes and Terraform., • Familiarity with advanced Postgres features such as GIST indexes, partitioning, and replication. What We Offer • Highly competitive salary, • Stock options, • Pension plan (matched up to 5%), • Private health insurance (including optical and dental cover), • Life assurance, • Enhanced parental leave, • Weekly meal allowance, • 29 days annual leave (in addition to bank holidays), • Flexible working hours, • Cycle to Work scheme, • Electric vehicle scheme, • Opportunity to work and travel for up to six weeks per year, • Visa sponsorship (if applicable)

Senior Backend Engineer 📍 London (Hybrid) 🚀 Early-Stage | AI Platform | Enterprise-Grade Systems We’re partnering with an ambitious early-stage AI company building a challenge-based interview intelligence platform. The product replaces CV-noise with real signal — evidence from real work and real human capability. They’re in full build mode toward launch. Small team. High standards. High ownership. No corporate theatre. They’re hiring a Senior Backend Engineer to build the enterprise backbone of the platform — high-concurrency APIs, event-driven systems, and reliability foundations that transform complex hiring inputs into secure, trusted, GDPR-safe outputs. If you enjoy turning evolving product intent into production-grade systems that don’t flinch under load, this role will suit you. What You’ll Own Enterprise-Grade Architecture • Standardised patterns from intake → build → QA → deploy → measure, • Secure-by-default engineering, • GDPR-safe, compliance-ready systems Workflow Automation at Scale • Scalable GraphQL APIs, • Event-driven systems with strong reliability guarantees, • Monitoring, logging, error handling & documentation that scales What You’ll Build • High-concurrency APIs with retries, idempotency, and queue-based reliability, • Cloud-native architecture across GCP (with limited AWS usage for asset management), • Reporting and dashboard surfaces that remain consistent under load, • Systems designed to scale confidently from 10 → 10,000+ users Tech Stack • NodeJS, • GraphQL (NestJS), • PostgreSQL, • Prisma, • GCP, • Terraform, • AI / LLM integrations (including Gemini) What They’re Looking For • Strong fundamentals: data structures, OOP, and complexity analysis, • Experience building high-concurrency, event-driven systems, • Reliability mindset (monitoring, logging, QA, incident-aware design), • Experience integrating AI/LLMs, • Comfortable working in sprints with evolving requirements, • Strong analytical and problem-solving ability

Remote (located near Slough/Glasgow for periodical office visits) Competitive + Bonus + Benefits Permanent full time We’re hiring in AI Operations to lead the end‑to‑end delivery of GenAI initiatives across IRIS International. This is a hands‑on role for someone who wants full ownership of how AI is identified, designed, implemented, and optimised within our teams. The role centres on improving efficiency, accuracy, and productivity through practical AI solutions. You will scope opportunities, build and deploy tools yourself, monitor their performance, and ensure they deliver measurable impact. You’ll work closely with teams across IRIS International, but you will be the primary driver of the AI process from start to finish. Why This Role Matters You will be responsible for identifying where GenAI can make a difference, building the solutions that support those improvements, and evaluating the outcomes. The work you do will have a direct influence on our productivity and day‑to‑day operations, including how teams work, how knowledge is used, and how processes evolve. This is a role where your technical decisions will shape how AI functions across our international operations. What You’ll Be Doing • Analyse operational processes to identify where GenAI can improve efficiency or accuracy, • Scope, design, and build GenAI‑driven solutions end‑to‑end, • Implement AI tools into existing workflows and ensure smooth adoption, • Monitor performance and assess the impact of solutions once deployed, • Refine and optimise tools based on real‑world usage, • Maintain documentation and develop standard operating procedures, • Ensure all AI processes meet best‑practice standards, • Design and deliver training to upskill colleagues on AI tools, • Support teams through workflow changes driven by GenAI adoption, • Collaborate with content teams to improve the knowledge base that powers GenAI accuracy, • Facilitate cross‑team knowledge sharing to encourage consistency and innovation Why This Role Is a Strong Opportunity • Significant ownership across the full AI lifecycle, • Freedom to experiment, design, and implement solutions, • Ability to define standards and shape early‑stage AI foundations, • Exposure to senior stakeholders and cross‑functional teams, • Opportunities to develop technical, operational, and leadership capability, • Direct impact on productivity, workflows, and long‑term operational strategy What We’re Looking For • Technical background in computer science, DevOps, or similar, • Experience designing and implementing AI or automation solutions, • Strong AWS experience (essential), • Excellent problem‑solving capabilities and a creative approach to solution‑building, • Confidence in experimenting, testing, and iterating on new ideas, • Strong communication skills, with the ability to work across different communication styles, • Comfortable working independently with full end‑to‑end ownership, • Ability to combine technical thinking with practical operational understanding Our Application Process • Initial Recruiter Conversation: A first discussion to talk through your experience, the role, and whether it feels like the right fit., • First‑Stage Interview With the Hiring Manager: This will include a short technical assessment, sent to you in advance., • Final Interview With the Hiring Manager and Senior Director: A deeper conversation exploring your approach, capability, and how you would operate in the role. Please note: occasionally we will close applications early due to high volume

Based Central in London this Hybrid opportunity (3 days per week) exists for to join an exciting company. This position is Hybrid and will focus on the development of disruptive technologies for HPC, AI / ML Technologies for real time Imaging. This role will focus on Algorithms development to optimise Metaheuristic optimisation and also develop code and to test it. The successful applicant will have a good relevant Degree or PhD with proficiency in Algorithm Software Development utilising Python, C++ or C#, along with: • Experience in Metaheuristic optimisation (essential), • Experience with AI/ML Techniques, • Exposure to cloud-based data pipelines for large-scale test data processing for Data Centres. The successful candidate could be straight out of a PhD or someone with extensive experience, there is a very wide salary band on offer for this, so please do apply if you have any experience in Metaheuristic optimisation or experience of AI lead, this role can flex between the two. The company offers excellent benefits, share options, flexible working and a bonus. Please apply for more information.

The Company The Dots is an industry-leading community platform, described as “Networking for the modern world” by Apple. After building our own community of nearly one million members, we now license our technology as a white-label SaaS platform, powering private social networks for some of the world’s most influential and inspiring brands including Apple, the United Nations & Soho House. At our core, we believe community is a defensible moat in an age of ai, and great product design is how you earn trust, engagement, and loyalty. The Role We’re hiring a hands-on, all-round Lead Mobile App Engineer who is a master at Android, but is also comfortable understanding and coding in iOS (Swift), to take ownership of our existing Android app - as well as helping us evolve our iOS app - for the next era of product development, including the age of AI. You’ll focus on delivering stunning Android apps for our clients, while supporting the iOS team to deliver an app that feels faster, smoother, and more delightful. You’ll work closely with our CEO (named one of the UK’s Top 100 Entrepreneurs by The Sunday Times), alongside product and design, with real autonomy and influence. What You’ll Do ● Maintain the existing Android app end-to-end ● Android (Kotlin) focus includes rolling out white‑label releases, fixing critical bugs, and building new features ● Support iOS (Swift) debugging and UI improvements ● Collaborate closely with design to deliver beautiful UI, polished animations, and thoughtful interactions ● Improve performance, stability, and overall product quality of both Android & iOS ● Make pragmatic architectural decisions and keep the codebase healthy, Android only ● Explore and adopt AI-powered tools and approaches to improve how we build and evolve the app ● Ship regularly, iterate quickly, and sweat the details that users notice About You ● A strong all‑round developer, Android‑leaning, who cares deeply about craft, UX, and polish ● iOS experience required ● AI-first mindset, focused on integrating generative AI into product discovery, development, and delivery. ● Comfortable owning problems end-to-end and working autonomously ● Happy moving fast in a startup environment where things evolve Skills & Experience Must-haves ● Android: Solid Kotlin & Jetpack Compose experience ● Swift: UIKit experience ● Deep knowledge of MVVM & Clean Architecture patterns ● Track record of building modular & testable code ● Good understanding of dependency injection ● Experience in API integration (REST, JSON) ● Experience with Git source control ● Exposure to AI-assisted development ● Demonstrated track record of shipping, owning, and maintaining complex Android applications in production environments Nice to have ● Experience using the JSON:API spec ● SwiftUI VIPER, either Combine or RxSwift ● Experience working with large, multi-modular projects ● Exposure to CI/CD pipelines ● Strong UI / animation sensibility ● Experience with multi-tenant or white-label apps Working at The Dots ● Kind, ambitious, inclusive team ● Flexible working, remote-first with access to central London coworking ● 25 days holiday, plus early-finish Fridays We encourage applications even if you don’t meet every requirement. If you care about building beautiful, future-ready Android products, we’d love to hear from you.

Senior Software Engineer Location: London (Hybrid / On-site) Salary: £100,000 – £150,000 + equity About the Company We’re working with an early-stage, venture-backed legal technology startup on a mission to transform one of the UK’s most broken consumer experiences: the legal process behind property transactions. This market is large, fragmented, and outdated, with high failure rates, poor transparency, and processes still reliant on manual workflows. The company is building the UK’s first AI-native law firm, starting with property transactions and scaling towards a full-service, AI-first legal platform with global ambitions. The business is backed by a leading early-stage VC fund and experienced angel investors, and led by a founder who has previously built and scaled a regulated fintech business to multi-billion-pound lending volumes. That experience provides a strong foundation for navigating regulation while moving quickly in a traditionally slow industry. The Role This is an opportunity for a Staff or Senior Product Engineer to join as one of the earliest engineers in the business. You’ll be part of a small, high-calibre team of generalists who value product thinking, speed, and engineering craft. From day one, you’ll have significant ownership, shaping product direction, shipping to production quickly, and working directly with users to define what should be built. Requirements won’t always be fully formed; you’ll be expected to explore problems, test ideas, and iterate fast. This role reports directly to the founder and offers genuine influence over both product and technical direction. What You’ll Do • Build and ship production features from your first week, • Work closely with users to understand pain points and validate solutions, • Help define product strategy in an ambiguous, fast-moving environment, • Design and scale TypeScript-based systems across the stack, • Build AI-powered workflows and agent-based systems that go beyond basic prompting, • Set engineering standards and raise the bar as the team grows You May Be a Good Fit If You • Have experience at early-stage startups and enjoy high ownership, • Think in terms of user problems, not just technical implementations, • Have scaled and maintained complex TypeScript codebases, • Are comfortable working end-to-end across product and engineering, • Actively experiment with and refine AI-assisted development workflows, • Have built LLM-powered systems or AI agents in production environments Tech Stack • TypeScript monorepo, • React, tRPC, Tailwind, • Event-driven workflows and background jobs, • Deployed on Google Cloud Platform, • Postgres What’s On Offer • £100,000 – £150,000 base salary (depending on experience), • Meaningful early-stage equity, • 5% employer pension contribution, • Private medical cover (including dental and optical), • 25 days holiday plus bank holidays, • Choice of AI tooling, • London-based role (Shoreditch), working closely with the founding team

🙋 ♂️Platform Engineer– Cloud Infrastructure 📍London (Onsite) 💰Up to £120,000 🙌Agentic AI for Enterprises I'm partnered with a fast-growing AI research and engineering startup building advanced agentic AI systems that automate and accelerate complex software engineering workflows. The platform sits at the intersection of AI research and real-world production systems. Backed by $2.5M in seed funding from top-tier investors, they're expanding their core engineering team and are looking for a Platform Engineer to help design, build, and operate the systems that power their products at scale.. 🧠 What you’ll work on • Designing and building cloud-native infrastructure to support highly reliable, secure, and scalable AI systems, • Operating and improving Kubernetes-based platforms, deployment pipelines, and internal tooling, • Building abstractions and automation to support rapid experimentation and production deployments, • Owning reliability, observability, security, and performance across our infrastructure stack 🛠️ What we’re looking for • Strong experience in cloud infrastructure, platform engineering, or DevOps roles, • Hands-on experience with Kubernetes, containerisation, and modern CI/CD pipelines, • Solid understanding of cloud providers (AWS/GCP/Azure) and infrastructure best practices, • Experience building or operating production-grade systems with high reliability requirements, • A pragmatic engineer who enjoys ownership, autonomy, and solving hard systems problems Interested? Apply below!

Job Title: Frontend Engineer – React / TypeScript / Next.js Location: London (Hybrid – 2‑3 days in office) Salary: £70,000 – £75,000 + Equity About the Company You’ll join a fast‑scaling SaaS business that’s redefining how enterprise sales teams operate. Their platform uses advanced AI and deal‑intelligence to unlock hidden insights, streamline workflows and elevate team performance. Backed by top investors, the team is lean, ambitious and focused on real‑world impact, yet technically deep and product‑led. About the Role You will help shape the front end of a high‑impact product used by enterprise customers, using React, TypeScript, and Next.js. You’ll work across the full front‑end life cycle — from architecture and design collaboration, through to deployment and optimisation — delivering robust, performant, and accessible user interfaces. You’ll join a highly collaborative team where your voice will matter, and your work will be visible at scale. What You’ll Do • Build and maintain modern web applications using React, TypeScript, and Next.js., • Translate UI/UX designs into responsive, accessible and high‑performance user interfaces., • Collaborate strategically with backend engineers, product owners and designers to deliver end‑to‑end solutions., • Write clean, tested, maintainable code and set best‑practice standards for the front‑end., • Optimize web performance, accessibility (WCAG), responsiveness, and the user experience., • Participate in agile rituals and help take ownership of features from conception to deployment and monitoring. What We’re Looking For • Strong production experience with React, TypeScript and Next.js., • Excellent skills in HTML5, CSS3, and modern JavaScript (ES6+)., • Proven experience with state‑management libraries (e.g., Redux, Zustand)., • Solid experience integrating front‑end apps with RESTful APIs, (GraphQL is a bonus)., • Experience with testing frameworks (e.g., Jest, React Testing Library)., • Comfortable with CI/CD pipelines, version control (Git), modern build tools and an eye for performance optimisation., • Strong understanding of scalable front‑end architecture, responsive design, accessibility standards and code maintainability. Nice to Have • Experience with server‑side rendering or static site generation (Next.js)., • Exposure to AI/ML integrations or advanced analytics in a front‑end context., • Familiarity with GraphQL or micro‑frontend architectures or enterprise‑grade front‑end tooling. What We Offer • Salary: £70,000 – £75,000 + equity participation., • Hybrid working model: 2‑3 days per week in a London‑based office, blended with remote work., • Opportunity to join a high‑growth technology company at a stage where your contributions will be visible and valued., • Working with cutting‑edge technologies, a smart engineering team, and a product used by major enterprise customers., • Real ownership of your domain and career growth in a product‑led engineering culture.

Founding Site Reliability Engineer 🚀 FinTech Startup 📍 Hybrid-Remote: Central London (3 days per week, City) 💰 £80,000 - £85,000 + Equity + Benefits Did you know financial fraud costs the UK economy £200bn+ per year, accounting for over 40% of crime in England and Wales? This early-stage FinTech is on a mission to fight financial crime and reduce scams in online payments They’re now hiring their first Site Reliability Engineer to build the reliability backbone of the company 🌍 The Company • 20 people total, 10 Engineers operating across UK and Africa, • Mission-driven, high-ownership culture 🧱 The Role: Founding SRE This is not a maintenance role. You’ll define and implement reliability from scratch: • Own monitoring, alerting & observability, • Lead infrastructure as code strategy, • Improve fault tolerance & system resilience, • Support security & compliance initiatives, • Partner with engineering teams across UK and Africa, • Build scalable systems ready for growth Think: secure, fault-tolerant, compliant systems in a regulated environment. ⚙️ Tech Snapshot: GCP | Terraform | GraphQL | incident.io | PostHog | Agentic AI 👀 What They’re Looking For • 3+ years in Site Reliability Engineering / Platform / DevOps, • Experience in early-stage startups, • Ideally you've been the first or only SRE in a scaling team, • Strong product mindset: reliability that drives customer value, • Experience in regulated or sensitive environments (FinTech, Payments, HealthTech, etc.), • Comfortable working across distributed teams Startup experience is essential. You need to thrive in ambiguity and build structure where none exists. 🎯 Why Join? • Founding-level ownership, • Real equity, • High-impact mission, • Work on meaningful financial crime problems, • Shape reliability across a growing, international team If you want to build resilient infrastructure that directly reduces financial crime, this is your chance. Hit apply with your latests CV!

We're a small team of engineers and scientists trying to create a golden age in aviation by reshaping how aircraft are built and maintained. Fleetcraft’s mission is to enhance humanity’s access to the sky by accelerating innovation in aerospace and reducing the risk of bringing new aircraft to market. We're growing fast and looking for an exceptional full-stack founding engineer to join our team. Why Join Us? We’re building at the intersection of aerospace and AI - modernising one of the world’s most complex and critical industries. • Solve real-world problems: Your code won’t just ship; it will define how aircraft are inspected, maintained, and trusted worldwide., • Join from the start: We’re growing fast and already working with some of the largest aviation companies in the world. You’ll be here from day one, helping shape the future., • High trust, high ownership: Make decisions that move the whole company forward. We value autonomy, speed, and impact., • Stack: Build with modern tools — Python, FastAPI, TypeScript, LLMs, MLOps What We’re Looking For • 2+ years of software development experience, • Proven track record of building and shipping full-stack products in fast-paced, product-driven teams, • Hands-on experience building production AI systems with Python, PyTorch, and LLMs (OpenAI, Anthropic, etc.), integrated into real user workflows, • Familiarity with MLOps tools and CI/CD for both traditional and ML-driven systems, • Strong backend and API development skills - comfortable owning systems end-to-end, from data pipelines to user-facing interfaces, • Passion for building clean, usable products that solve real problems, fast, • Comfortable wearing multiple hats, challenging assumptions, and shaping product direction in ambiguous environments Bonus Points • Prior startup or 0→1 product experience, • Contributions to open-source AI/ML projects, • Experience with aviation, aerospace, or other safety-critical domains You Should Apply If... • You love building real products that users depend on - not just prototypes, • You’re energised by fast feedback loops and high-leverage work, • You want to work close to users and shape what gets built, • You thrive in ambiguous, high-trust, high-ownership environments You Should Not Apply If... • You prefer clearly defined tasks over autonomous problem-solving, • You’re uncomfortable working in a fast-moving, high-ambiguity startup, • You’re looking for a large team with established roadmaps and guardrails Tech Stack • Core: Python, FastAPI, TypeScript, React, • AI/ML: OpenAI, Anthropic, computer use, evals, voice agents, • Infrastructure: Azure, Docker Process: • Initial Screen (30 min video call with one of the founders), • Take-Home Test (1h45 on HackerRank), • Interview (30 min video call with one of the founders), • In-Person Interview Working at Fleetcraft Our office is in central London, off Oxford Street. Being in the same room helps us move fast, make better decisions, and build with urgency. We’re comfortable with chaos and energised by the pace. We also get that life isn’t always predictable. When something personal comes up, we trust each other to handle it with flexibility and maturity. Compensation + Benefits 💰 Highly Competitive: £90k-£120k + equity We’ll Back You to Do Your Best Work Need to relocate? Working late? Want a tool that helps you move faster? We’ve got you. Just tell us what you need we’ll make it happen. • Fleetcraft is an equal opportunities employer.

⚡ Mid-Level Backend Engineer - Remote (2 days per month) / London - Up to £60,000 p/y ⚡ We're currently looking for a mid-level Backend Engineer to join our client, a tech-enabled security services company protecting some of the UK's most iconic properties (Harrods, luxury car dealerships, high-end retail estates). They're in the midst of upgrading their flagship product, a 24/7 mission-critical platform supporting national infrastructure, which means proper engineering challenges and real-world impact. 🛠️ Tech stack : • Kotlin, Python, Terraform, AWS, • Bonus if you have any experience with Node or Typescript/JavaScript 🎯 What you'll be doing: • Breaking down legacy monolith into an event-driven microservices architecture so they can scale without single point of failure risk, • Creating new services to support their growing product family across existing and new markets, • Building AI automation to make life easier for your users 📈 What's in it for you? • Remote-first policy, 2 days per month in London offices 🏢, • Salary up to £60,000 + benefits 💰, • A fantastic team that gives you the opportunity to dive into any ongoing project! 🚀 If you're looking for a genuinely mission-critical engineering challenge with a company that's disrupting a traditional sector through tech, then this position offers just that!

Leading Backend Developer – AI Security Startup About the Company We are partnered with a fast‑growing, venture‑backed AI startup building next‑generation video intelligence technology. Our platform helps organisations extract real value from their video data, faster, smarter, and with far less manual effort. They've secured over $30M in VC funding, are already generating revenue, and have a strong runway as we scale. The founding team consists of experienced technologists and entrepreneurs with deep backgrounds in advanced robotics, AI, and large‑scale systems. The Role: Leading Backend Engineer We’re looking for a highly capable Leading Backend Engineer to become a key contributor within our core engineering team. You’ll be responsible for architecting, building, and scaling the systems that sit at the heart of our AI‑driven video intelligence platform. In this role, you will: • Build and maintain backend services that ingest, process, and serve large volumes of video and sensor data, • Design scalable APIs and distributed systems that power our frontend and ML pipelines, • Collaborate on shaping infrastructure, architecture, and technical strategy from the ground up, • Solve complex problems involving real‑time processing, distributed systems, and high availability, • Fully own backend and edge functionality with emphasis on architecture, delivery, and cross‑team collaboration You’ll be a great fit if you have: • Strong experience with Golang, Python, or C++, • A strong track record of building scalable backend systems and APIs, • A Computer Science degree or similar (or equivalent experience), • Proven experience working in startups or fast‑moving environments, • Comfort with distributed systems, containers, and cloud‑native infrastructure, • A deep understanding of system performance, reliability, and clean architecture principles What We Offer • Competitive salary with regular performance reviews, • Equity in a rapidly scaling AI company, • High ownership and autonomy over product‑critical components, • Frequent team socials, dinners, and offsites, • The latest tools, tech, and hardware, • A sharp, mission‑driven team solving impactful real‑world problems, • The chance to shape a product at the intersection of AI, security, and real‑time decision‑making If interested, please apply now!

Imagine how nice it would feel to work at a company that has the freedom to build solely AI solutions and AI agents. You could work with no restraints, have creative freedom, and be challenged to develop innovative AI solutions that have never been created before. Here, you’ll get a lot of the freedom that you’ve likely always dreamed of! You will have the opportunity to set the vision of cutting-edge AI solutions as well as influence the future direction of the company. You will be meeting clients who want to realize the power of AI and you will be leading the development of AI solutions which will streamline and improve their day-to-day operations. You will be joining a start-up whose founders have already got a good track record of building a successful Data & AI company. AI is built in their DNA, being experimental is encouraged and making a positive difference through the development of AI solutions is what they do best. If you’re proficient in python, are enthusiastic about working with LLM’s and have strong experience leading the design and development of production grade solutions in enterprise, then this job could be a great next step in your career. If you’re passionate about LLMs, want to work with the latest cutting-edge technology and are enthusiastic about leading a team to create AI solutions that will make a real difference, then I want to talk to you. No up-to-date CV required, we can work on updating it if needs be.

If you’re looking for a comfortable 9 to 5, something well established, structured, and where you’re told exactly what to do, this won't be for you. But if you want to build something extraordinary from the ground up and have a direct hand in shaping a company that’s scaling at breathtaking speed, keep reading. This is your chance to join an early stage AI startup that’s redefining how innovation is discovered, protected, and accelerated. The team is building systems that detect infringement, streamline R&D, and empower creators to move faster. It’s a true greenfield opportunity, no legacy code, no bureaucracy, just the freedom to solve challenging technical problems with impact. The founding team comes from some of the world’s most respected technology companies and is backed by tier-one investors and industry leaders who know how to build billion-dollar businesses. The company’s trajectory is ambitious, from zero to seven figures in recurring revenue within its first year and plus over £20million in funding already!! As a Senior Software Engineer, you’ll join a small, high calibre team where ownership is everything. You’ll work primarily on the backend, integrating with LLMs, and collaborating directly with the founders to design, ship, and iterate products. You’ll speak with customers, think critically from their perspective, and see your work have an immediate, visible impact. The team operates in one-week sprints, moving at an intensity few companies can match. This isn’t a clock-in, clock-out culture, it’s built for those who thrive in fast moving, high ownership environments. This company has an in office culture mainly because there’s nothing quite like building the next tech unicorn, together, in the same room, ask the big players. What you’ll need to succeed: • Strong experience building production quality software (Java, TypeScript, React or Python), • Curiosity and adaptability: you learn new technologies quickly and apply them effectively, • Hunger and drive: you’re comfortable working in ambiguous, fast paced environments, • Ownership mentality: you take full responsibility for solving problems, not waiting for instructions In return, you’ll receive a highly competitive base salary, meaningful stock options, and the opportunity to join right before takeoff. That’s the real reason people join startups, the ownership, the impact, and the upside. Those options could change your life, your home, your car, your freedom whatever drives you. If that sounds like you, and you’re open to hearing more, please apply below or reach out directly at .

👷 Role: Lead Node Engineer 🏢 Company Stage: Seed 📍 Location: Central London 💸 Salary: Up to £130k + Equity A top tier VC backed startup in London is building a B2B mental health platform that helps companies better support their employees and they’re looking for a Lead Node.js Engineer ready to take ownership of something that genuinely improves people’s lives This is software with real impact used by organisations to support wellbeing reduce burnout and create healthier more productive workplaces This isn’t a role with neat specs or endless tickets You’ll be stepping into complex product and engineering challenges helping shape the technical vision and building systems that need to be secure scalable and trusted by thousands of employees As a technical leader you’ll set direction shape backend architecture and raise the bar for engineering standards while remaining hands on in the code If you’re energised by autonomy allergic to hand holding and motivated by building technology that makes a tangible difference at work you’ll feel right at home here 💼 Requirements: • 6+ years building scalable backend systems with Node.js and TypeScript, • Proven experience leading engineers or owning major technical initiatives, • Strong system design and architecture experience, • High 2.1 or First in Computer Science or similar from a top tier university, • Thrive on ambiguity everything won’t always be clear but the job is to change that 🫴 Package: • Up to £130k base, • Meaningful equity, • 30+ days holiday, • Work from anywhere one month every year

The Challenge Healthcare technology requires seamless integration of patient-facing applications, clinical systems, external partners, and financial workflows—while maintaining the security, reliability, and auditability that regulated environments demand. As healthcare AI advances and new treatment models emerge, the industry needs engineering leaders who can architect scalable platforms, drive technical excellence, and deliver production-grade systems that translate clinical requirements into real-world outcomes. The Opportunity Own the technical delivery and architecture of Onsera's core product platforms, from wearables integration and health data pipelines to member payments and AI workflows. As a player-coach, you'll design and implement full-stack solutions while setting engineering standards and help build and mentor our engineering team as we scale. This role offers the opportunity to shape API-first architectures, lead complex integrations with healthcare partners and SaaS platforms, and transition into engineering leadership as the organization scales. What You'll Do • Own technical delivery of multiple Onsera products from design through production and iteration, • Design and implement full-stack solutions spanning frontend applications, backend services, APIs, agentic systems and third-party integrations, • Define and evolve API-first, integration-driven architectures that support internal systems and external partners, • Lead complex integrations with SaaS vendors, healthcare partners, wearables platforms, and pharmacy fulfillment systems, • Architect and implement member payment platforms, including fee collection, reconciliation, and financial reporting, • Define and enforce software engineering standards, including coding conventions, testing practices, and documentation, • Conduct rigorous code reviews focused on correctness, security, performance, and maintainability, • Mentor engineers and gradually transition into line management as the engineering organization grows Minimum Qualifications • 8+ years of experience as a Full-Stack Engineer delivering production systems, with track record at Senior or Principal level, • Proficiency across frontend and backend development, including modern web frameworks and API design, • Proven experience integrating with third-party SaaS platforms and external partners, • Strong background in automated testing strategies and quality-driven development, • Experience acting as a technical leader or player-coach with demonstrated ability to mentor engineers, • Comfortable collaborating with product, data, clinical, and non-technical stakeholders Preferred Qualifications • Strong written and verbal communication skills for technical and cross-functional collaboration, • Experience working with Python, • Experience with payments, billing, or financial reconciliation systems, • Experience in healthtech, regulated environments, or sensitive data systems, • Familiarity with health data ingestion, wearable platforms (Apple HealthKit, Google Fit, Fitbit), or healthcare interoperability patterns, • Exposure to FHIR-based data exchange or healthcare integration standards, • Prior involvement in scaling engineering teams or platforms during growth phases What We Offer • Mission-driven work addressing critical healthcare challenges in cardiometabolic care, • Ground-floor opportunity to shape technical architecture and engineering culture, • Direct collaboration with product managers, data scientists, ML engineers, and clinical experts, • Partnership with a world-class team of venture capitalists, innovators, technologists, bioscientists, and clinicians, • Growth path into engineering leadership as the organization scales, • Competitive salary and benefits package, including participation in our equity program About Onsera Health We are an early-stage health AI company revolutionizing cardiometabolic care and population health economics. Our unique position within the PHP ecosystem provides: • Venture track record: A proven track record of success in building biotech and healthcare companies, • Deep capital: Funding and resourcing to support deep tech and scientific R&D—and to drive growth, • Strategic guidance: Direct access to industry pioneers (including founders of The Medicines Company and Metsera), strategists (McKinsey/QuantumBlack alumni), and world-class scientific talent (e.g., scientific leaders at Oxford University, Ellison Institute of Technology), • Expert network: Established connections across pharma, payers, and providers, • Startup agility: Ownership in the venture, founder mentality, and ground-floor impact About PHP Population Health Partners (PHP) is a premier investment firm established in 2020, aimed at transforming health outcomes for large populations. With offices in New York and London, PHP combines financial resources with industry-leading capabilities and technology. The firm's incubation portfolio includes Metsera (NASDAQ: MTSR) and Corsera Health. Leadership: Led by industry veterans including Clive Meanwell (The Medicines Company), Chris Cox (The Medicines Company), and Whit Bernard (Metsera), bringing decades of founder experience and operational excellence in biopharma and healthcare, and Roy Berggren, 30+ year McKinsey Healthcare leader.

About the Company Building out a new team in London, rapidly scaling Silicon Valley technology company building core infrastructure for physical AI across sectors including automotive, defence, construction, mining, agriculture, and logistics. Its platforms are used by leading global manufacturers and government organisations to enable intelligent, autonomous systems. The business has a global footprint with offices across North America, Europe, and Asia. The company operates primarily in-office and expects most employees to be onsite five days per week, with pragmatic flexibility for personal commitments when needed. About the Role As a Forward Deployed Engineer, you will work in small, high-impact teams delivering end-to-end technical execution on mission-critical projects. You will act as the bridge between advanced intelligence platforms and real-world operational environments. You’ll deploy and integrate autonomy software, operating systems, and tooling into complex customer platforms, often in demanding environments. The role spans software engineering, system deployment, hardware integration, and solution architecture. Responsibilities • Deploy and operationalise advanced autonomy platforms in defence and government environments, from contractor sites to forward operating locations, • Solve diverse technical challenges across software, OS configuration, deployment, and hardware integration, • Integrate customer systems with proprietary platforms to deliver measurable operational value, • Build scalable delivery approaches for customer engagements, • Design architectures that improve repeatability and reliability across programmes, • Collaborate closely with engineering, product, and customer stakeholders, • Own technical delivery end-to-end, adapting to evolving requirements Qualifications • Strong engineering background (Computer Science, Computer Engineering, Aerospace, or similar), • Proficiency in C++ and Python, • Broad technical depth across software, operating systems, and hardware-adjacent environments, • Experience integrating and deploying complex systems, • Strong independent problem-solving ability in ambiguous environments, • Excellent communication and customer-facing capability, • Track record of driving successful technical engagements, • Professional references describing you as low-ego, motivated, thoughtful, and collaborative Required Skills • Willingness to travel between offices and customer locations as required. Preferred Skills • Experience with government or defence customers, • Systems architecture and scalable solution design experience, • Background in defence, robotics, automotive, autonomy, or adjacent sectors

Software Development Engineer in Test (SDET) London Hybrid | Series A AI Infrastructure Startup It is hard to build a reliable system. It is even harder to prove that it is reliable. Our client is redefining how enterprise software is tested. Their AI native platform automates test data, test case generation, and environment provisioning, enabling engineering teams to ship faster while reducing compliance and operational risk. Trusted by Tier 1 banks and global financial institutions, the company has recently completed a successful Series A round backed by leading global investors. With rapid enterprise adoption and a hybrid architecture spanning SaaS control plane and on premises agent data plane, they are now hiring a Software Development Engineer in Test to take ownership of quality engineering at scale. This is a deeply technical SDET position focused on building robust automated systems, not manual testing. Reporting to the Head of Engineering, the SDET will define and own the end to end test strategy across both cloud and agent components. The platform operates across distributed, database heavy, and security sensitive environments, meaning quality must be embedded at every layer of the stack. The successful candidate will design, implement, and maintain multi layer automation across UI, API, contract, integration, and distributed system scenarios. This includes building and maintaining UI automation frameworks using Playwright or Selenium, alongside backend automation in Kotlin or Java using JUnit, Testcontainers, REST assured, or Ktor based tests. A key responsibility will be validating behaviour across multiple database engines including PostgreSQL, MySQL, and SQL Server. The SDET will write complex SQL queries, validate joins and window functions, analyse query plans, and test indexing strategies, transaction handling, connection management, replication topologies, and backup and restore flows. This is a hands on database intensive role requiring strong technical depth. The role also involves building a protocol level test harness for remote agent communication. This includes simulating asynchronous communication, injecting failures, modelling network instability, and running chaos style scenarios to validate resilience under real world conditions. Ensuring agents running inside customer networks remain secure, performant, and compliant is a critical part of the mission. Quality gates and trend reporting will be embedded into the GitHub Actions CI CD pipeline to ensure automated validation on every release. The SDET will also implement observability driven testing practices, leveraging logs, traces, and metrics to detect regressions, performance bottlenecks, and edge case failures that traditional assertions may not capture. Collaboration is essential. The SDET will work closely with Product Managers and Solution Architects to refine acceptance criteria, surface technical risks early, and validate complex enterprise workflows. As the company grows, this role offers a clear progression path toward leading and building out a broader quality engineering function. This opportunity will suit a strong engineer who happens to specialise in testing. Candidates should have hands on experience within cloud native or hybrid architectures and feel comfortable validating distributed systems and asynchronous protocols. Experience with Docker and Kubernetes to spin up realistic test topologies is important, as is familiarity with CI CD tooling such as GitHub Actions. Exposure to observability stacks such as OpenTelemetry, Prometheus, and Grafana will be highly advantageous, particularly where these tools are used to derive intelligent test assertions. Security, compliance, or data privacy testing experience is a plus given the nature of the customer base and the environments in which the platform operates. In return, the company offers a competitive salary, meaningful equity, hybrid working between home and London offices, up to one month per year working from anywhere, generous annual leave including your birthday off, private medical cover, a dedicated learning and development budget, regular team offsites, and strong family leave policies. Above all, this is an opportunity to engineer reliability into mission critical enterprise systems within a high growth AI infrastructure business. If you are an SDET who wants to build sophisticated automation, validate complex distributed systems, and shape quality at the heart of a scaling product, this is a role worth exploring.

Senior Software Engineer | London | £80,000 - £150,000 | Python | React Location: London-based (hybrid) Salary: £80,000 - £150,000 + equity Tech Stack: • Backend: Python (Flask, FastAPI) - backend weighted, • Frontend: React, TypeScript, • Cloud Systems: GCP or AWS Are you a software engineer who enjoys shipping real products, solving tangible customer problems, and seeing your work in production quickly? We are working with a Series A AI technology company building automation software that sits directly in the operational core of key businesses. This is not experimental AI. This is production critical software used daily by hundreds of customers. This is a hands on individual contributor role suited to engineers who want ownership, pace, and impact without layers of process getting in the way. What you will be doing: • Designing, building, and maintaining backend services and APIs using Flask & FastAPI, • Building and evolving user facing web components using React/TypeScript, • Integrating third party services and AI models into production workflows, • Investigating production issues and contributing to root cause analysis, • Collaborating closely with product, operations, and non technical stakeholders, • Participating in code reviews and shaping engineering standards What they are looking for: • Someone who genuinely enjoys building and shipping software frequently, • Strong problem solving ability with a pragmatic engineering mindset, • Comfort owning features end to end from build through deployment, • A bias to action while still caring about scalability and reliability, • Ability to work across the stack or depth in one area with curiosity in others, • Experience with Python based backend systems and modern frontend frameworks They value engineers who focus on outcomes over perfection, who simplify rather than over engineer, and who take responsibility rather than waiting for instruction. What you can expect: • Meaningful equity, • London based role (hybrid) with regular in person collaboration & opportunities for international travel, • Extensive company benefits This role will suit engineers who want to work close to the product, close to customers, and close to real world impact. If you're looking for ownership, pace, and meaningful software problems, then get in touch at .

About the job Who are we and What do we do? ShareChat (Mohalla Tech Pvt Ltd) is India’s largest homegrown social media company and the only local player to achieve profitability in the industry, with 200+ million Monthly Monetizable Users across all its platforms. Founded in 2015, ShareChat has social media brands such as the ShareChat App and Moj App and micro drama app QuickTV under its portfolio. QuickTV, the newest addition to ShareChat's family of apps, crossed the 10 million downloads mark within 3 months of launch and currently has 60Mn MAUs across the network viewing the vertical episodic content. Today, the ShareChat network maintains a whopping 1,000 Cr ARR and is India’s leading social media platform servicing users across the country in 15 regional languages. This growth has led to a 28% YoY revenue growth in the July-Sept (2025-26) quarter and increased it by more than 60% in the Oct-Dec quarter. What does the team do? Serving recommendations to 300+ million users entails developing large scale personalization and recommendation models that understand user needs and preferences in realtime, while also helping creators grow their audiences on our platforms. A subset of the problems we tackle include: • Serving personalized feeds for 300+ million users via real-time candidate generators, multi-task prediction models, whole-page optimization, and in-session personalization., • Nurturing our content and creator ecosystem, and developing models for strategic content valuation. What You’ll Do Within the Sharechat AI team, we are looking for an experienced Staff engineer to lead the engineering efforts around serving personalization models efficiently at scale, leading efforts across 10+ MLEs, SDEs and decision scientists working on feed ranking and candidate generation systems that power Sharechat’s recommender systems. In this role you will help us further improve our recommendation systems in order to drive up user retention and engagement while minimizing server and cloud costs of serving large scale models, and act as a subject matter expert in the recommender systems and ML ranking domains. You would be joining us at an exciting time! The science behind recommendation systems is rapidly changing, and we’re making big progress at a rapid pace. Who are you? • 12+ years of industry experience with a solid understanding of engineering, infrastructure and ML best practices. Strong coding skills with Go or JAVA, • Design and help develop systems that serve recommendations to over 300 million users, • Drive engineering roadmap creation and execution, specifically around feed ranking and recall oriented candidate generation systems, • Provide technical guidance in ranking systems design, implementation & experimentation, and take end to end ownership of ML systems, and key user satisfaction based metrics, • Drive architectural strategy and design for complex ML systems that support the needs of users, creators and content stakeholders, • Familiarity with cloud platforms such as AWS, Google Cloud, or Azure. Knowledge of containerization and orchestration tools like Docker and Kubernetes is a plus., • Experience designing end to end ML data pipelines. Experience with database technologies such as PostgreSQL, MySQL, or MongoDB, Spark, Databricks and stream data processing such as Kafka, RedPanda is a plus., • Direct experience in building and applying large-scale (100M+ users) machine learning solutions for personalizing recommendations., • Hands-on experience building training frameworks and/or serving large-scale models using tools such as Tensorflow or PyTorch is a plus., • You stay up-to-date with the state-of-the-art open source infrastructure solutions applicable to designing and improving large scale recommender systems, data engineering, and machine learning, • You have a Master’s or PhD in Computer Science, statistics, or an engineering field with 5+ years of experience Where will you be? London(Remote) What's in it for you? At ShareChat, our values—Ownership, Speed, User Empathy, Integrity, and First Principles—are at the core of our ways of working. We believe in hiring top talent and grooming future leaders by providing a flexible environment to aid growth and development.

Do you want to build production-grade ML systems powering the clean energy transition? Have you deployed and scaled ML models on AWS in real-world environments? Are you ready to take ownership of MLOps in a fast-growing cleantech scale-up? A rapidly scaling London-based energy tech company is building an intelligent EV charging and energy optimisation platform used across multiple countries. They’ve combined proprietary tech, deep data capability and strong industry partnerships to accelerate the shift to sustainable transport. The Data team is now expanding to support growing ML workloads. They’re hiring an MLOps Engineer to own and scale ML infrastructure across computer vision and broader DS/ML use cases. This role is critical to ensuring models are robust, reproducible and production-ready. Key responsibilities: • Deploy, manage and monitor ML models in production, • Own MLflow, experimentation tracking and reproducibility, • Build scalable training and deployment pipelines, • Implement CI/CD for ML workflows, • Optimise AWS infrastructure for performance and cost, • Ensure reliability and monitoring of ML endpoints Key details: • Salary: £80,000–£110,000 + discretionary bonus, • Working: Hybrid, 3 days per week in London, • Stack: Python, MLflow, AWS (SageMaker), CDK, Docker, • Visa: Cannot sponsor Interested? Please apply below.

🚀 Senior Platform Engineer | AI & Cybersecurity | Up to £100,000 + Shares | London | Hybrid Are you a platform engineer ready to take full ownership of maintaining and building infra and platform for a high-growth start-up? This is a rare opportunity to join an early-stage, deep-tech company at the intersection of artificial intelligence and cybersecurity, working on technology that’s pushing the limits of how machines understand and analyse complex software systems. You’ll be joining as the first platform Engineering hire, partnering closely with the ML and Product teams to design, build, and scale the infrastructure that powers advanced AI models. 🔧 What You’ll Be Doing • Design, build, and operate Kubernetes-based platforms across AWS and additional cloud providers., • Own and evolve our multi-cloud strategy, ensuring consistency, reliability, and security across environments., • Build reusable platform primitives for networking, secrets, storage, ingress, observability, and CI/CD., • Enable repeatable, automated deployments for SaaS, customer-managed, and air-gapped environments. 💡 What We’re Looking For • Kubernetes: Production-grade clusters, networking, ingress, storage, RBAC, upgrades, and operations., • Cloud: Deep AWS experience (EKS, IAM, VPC, EC2, S3, Load Balancing); multicloud patterns a strong plus., • Infrastructure as Code: Terraform (or equivalent) for repeatable, auditable environments., • CI/CD: GitHub Actions or similar; building pipelines for both SaaS and self hosted deployments., • Containers: Docker/OCI, image build pipelines, registries, supply chain security., • Observability: Prometheus, Grafana, ELK/OpenSearch, OpenTelemetry. 🌟 Why You’ll Love It Here • Build something from the ground up - huge ownership and technical freedom, • Join a smart, curious team tackling truly unique technical challenges, • Competitive salary (£100,000), • Equity options, pension scheme, and private health insurance, • Hybrid working – central London, • 25 days holiday + bank holidays If you’re excited by the idea of shaping a Platform Engineering function in a cutting-edge AI startup and working on problems that most companies haven’t even begun to tackle, we’d love to hear from you.

Are you an AI engineer with strong software engineering fundamentals? Have you deployed AI models into production—not just trained them? Want to work on agentic systems, RAG pipelines, and LLM-powered tools? We're working with a high-growth GenAI consultancy building real-world, production-grade AI applications. With a team of 50+, the company partners with global clients across finance, energy, media, and tech. From hedge funds to energy and health-tech, their projects are diverse and technically challenging. With strong client demand and deep partnerships (including OpenAI), the team is scaling fast across the UK, Singapore, and Australia. As a Senior Applied AI Engineer, you’ll take ownership of designing and deploying AI-powered applications that solve real client problems. You’ll work across full-stack delivery, from architecture to production deployment, collaborating with cross-functional teams and mentoring other engineers. Key Responsibilities • Build and deploy scalable AI tools using Python and LLM APIs, • Design end-to-end agentic and RAG-based solutions for enterprise use, • Own delivery from proof-of-concept through to production, • Work with cloud-native architectures (e.g. AWS Lambda, Step Functions), • Lead and guide junior engineers within project teams Key Details • Salary: £100,000–£130,000 + benefits, • Working model: Hybrid (3 days/week in London office), • Tech stack: Python, LLMs (OpenAI/Claude), Docker, CI/CD, microservices, AWS If you're a strong backend or platform engineer passionate about GenAI and excited to ship high-impact tools, this is the opportunity to step into it. Budget • Salary range: £100k–£130k base, • Benefits: Standard package, • Sponsorship: Yes, • Hybrid: 3 days/week (London HQ) Note: this role cannot sponsor Interested? Please apply below.

Senior Full Stack Engineer (AI) | London | £100k to £150k | React | Django | FastAPI Location: London Salary: £100,000-£150,000 + benefits This role is for Engineers who are intellectual and driven by deep complexity. This is about building tools that help people make sense of exceptionally complex systems. You will work on internal software used to explore, analyse, and interact with advanced AI models. These tools are designed for technical users and require thoughtful engineering across both backend and frontend. The use case of this software is about tackling some of the most pressing challenges of the next generation. If you enjoy owning problems end to end and care about both functionality and usability, this role offers real depth and the opportunity to be part of a mission driven team who are as competent as they are ambitious. What you will be doing • Building and evolving full stack applications used by technical teams, using Django, FastAPI & React, • Creating interfaces that help users understand complex behaviour and data, • Working closely with others to shape how tools should work and feel, • Balancing speed, quality, and adaptability in a fast changing environment, • Taking responsibility for features from idea through to real world use The stack centres on Python and modern frontend technologies, but curiosity and good judgement matter more than ticking boxes. Who this suits • Full stack engineers who enjoy building serious internal tools and have 5years+ experience, • Those with experience working with LLM agents or a strong interest in this area, • People comfortable working with evolving requirements, • Engineers who care about good UX without needing to be designers, • Those motivated by the broader implications of AI and its impact This is a rare opportunity to build meaningful software in a high trust environment, alongside people who care deeply about doing things well. If you’re looking for a role where you can make tangible impact, work on an interesting product, and be part of an exceptional team, get in touch at . Senior Full Stack Engineer (AI) | London | £100k to £150k | React | Django | FastAPI

Founding Engineer | TypeScript & Browser Automation | AI Agents in Enterprise Security Location: London Hybrid Salary: 100k-150k The Role You’ll join a venture-backed security start-up building a browser automation platform already embedded within large financial institutions and global enterprises. This isn’t a greenfield toy project. Your work will power mission-critical workflows used daily by finance teams, IT departments and security functions, from securing bank logins to automating access control across critical applications. What You’ll Work With and Own • TypeScript, Node.js and React across product layers, • Electron desktop environments on macOS and Windows, • Postgres databases, • Browser extensions and automation using Puppeteer or Playwright, • End-to-end encryption patterns and secure infrastructure, • Infrastructure as Code You will own core product areas from architecture through to production. You will improve and extend a browser automation engine used inside real enterprise environments, harden a secure on-device browser application and refine workflow automation tools used by non-technical customers. You will ship across the stack including dashboard, desktop app and backend services. You will work directly with enterprise customers, influence technical direction and move from problem to production quickly. This is high ownership, high autonomy and real impact. What They’re Looking For (Non-Negotiables) • 3+ years commercial software engineering experience, • Proven ability to build and scale production-grade systems, • Strong debugging capability and systems thinking, • Experience working in ambiguous, fast-moving environments, ideally start-ups, • Confidence working directly with customers and translating feedback into shipped features, • Self-starter mindset. You take responsibility from problem to production You should be comfortable working in a small, ambitious team where expectations are high and standards are even higher. Nice to Haves • Puppeteer or Selenium in production environments, • AI-enabled automation or agent-based systems, • Security engineering experience, • Zero-trust architectures, • Identity and SSO ecosystems (Okta, Entra ID, 1Password, JAMF), • Experience working inside regulated industries such as FinTech, Insurance or SaaS Employee Benefits • Competitive salary, wide range depending on experience, • Generous equity with meaningful founding-level ownership, • Visa sponsorship support where applicable, • Opportunity for US and UK cross-office collaboration and travel, • Private medical and dental insurance, • Unlimited holiday, • Regular team socials and annual international offsite, • High-spec equipment of your choice Founding Engineer | TypeScript & Browser Automation | AI Agents in Enterprise Security

AWS Contact Centre / Amazon Connect - Software Engineer Amazon LEX engineer. Contract | 12 months | Hybrid (UK‑based) Up to £700 per day Inside IR35 We’re partnering with a major UK enterprise expanding its AWS Contact Centre engineering capability. The team is building new features and services across multiple Amazon Connect instances and needs hands‑on Senior Software Engineers who can design, build and support scalable, production‑grade solutions. This role is fully engineering‑focused — not an architect position. You’ll be coding daily, working with Amazon Connect, Lex, Lambdas and modern TypeScript/Python across serverless architectures. If you’re a hands‑on engineer with strong Amazon Connect / Lex experience and want to build real, high‑impact products in a large‑scale environment, we’d love to hear from you. The role You will work with cross‑functional product and engineering teams to: • Design, develop and enhance services using Amazon Connect, Amazon Lex, Contact Flows, Lambda, and LLM‑driven capabilities, • Build new features and maintain existing products across multiple Connect environments, • Write clean, maintainable code in TypeScript, JavaScript, and Python, • Implement DevOps best practices: CI/CD, automated testing, monitoring, infrastructure‑as‑code, • Participate in code reviews and uphold strong engineering standards, • Troubleshoot complex issues across AWS services, contact flows and application layers, • Stay current with emerging AWS and AI technologies to support continuous improvement Key Requirements • Proven experience as a Senior Software Engineer, • Hands‑on AWS engineering, especially:, • Amazon Connect, • Contact Flows / IVR, • Amazon Lex, • Lambda (Node/Python), • Strong coding ability in TypeScript, modern JavaScript frameworks and Python, • Experience integrating contact centre technologies into enterprise systems, • Solid grounding in serverless, CI/CD, monitoring, and cloud‑native engineering, • Excellent problem‑solving skills and communication Nice to have • Experience with LLMs or AWS AI/ML services, • Knowledge of microservices and secure cloud engineering, • Experience delivering within Agile teams Contract details • 12‑month contract, • Hybrid – 3 days in London, • Up to £700/day If you’re a hands‑on engineer with strong Amazon Connect / Lex experience and want to build real, high‑impact products in a large‑scale environment, we’d love to hear from you. Apply now, or contact me directly for a confidential discussion: 📧

🤖 Junior Machine Learning Engineer (0–2 years) | Competitive Salary | London | Hybrid Working 🚀 Are you a Junior Machine Learning Engineer looking to kick-start your career working on real-world ML systems used at scale? We’re looking for a curious and motivated Junior Machine Learning Engineer to join a collaborative, data-driven technology team, working in a flexible hybrid setup based in London. This role is ideal for someone early in their career who’s excited about applied machine learning, enjoys building solutions that move into production, and wants to learn from experienced engineers in a fast-moving environment. You’ll be part of a modern engineering function working on large-scale data and ML products, contributing to model development, data pipelines, and deployment workflows that power business-critical platforms. 🔍 In this role, you’ll: 🤖 Build, train, and evaluate machine learning models using Python 📊 Work with large, complex datasets to support ML-driven products and insights 🧠 Assist with feature engineering, experimentation, and model optimisation ☁️ Contribute to data and ML pipelines in cloud-based environments 🗄 Work with structured and semi-structured data using SQL 🚀 Support the deployment and monitoring of models in production environments 🤝 Collaborate closely with data engineers, software engineers, and product teams 📐 Help maintain best practices around testing, documentation, and reproducibility 🌟 What’s in it for you? 📈 Career Development – Hands-on experience, mentorship from senior engineers, and clear progression paths 💡 Learning Culture – A team that encourages curiosity, experimentation, and continuous improvement 🏢 Hybrid Working – A flexible mix of remote work and time in the London office 🌍 Real-World Impact – Work on ML systems used by customers at scale 💰 Competitive Package – Salary and benefits based on experience, including bonus, pension, and generous annual leave ✅ What we’re looking for: 🎓 A degree in Computer Science, Machine Learning, Data Science, Mathematics, Engineering, or a related field 💼 0–2 years of experience in machine learning, AI, or software/data engineering (including internships, placements, or academic projects) 🐍 Strong Python skills for ML and data processing 🗄 Experience working with SQL and structured datasets ☁️ Familiarity with cloud platforms and modern data stacks 🧠 A solid understanding of machine learning fundamentals and data workflows 💬 Strong communication skills and a collaborative mindset ⭐ Big bonus points for: ⚙️ Exposure to ML pipelines, MLOps, or production ML systems 📦 Experience with tools such as Databricks, Snowflake, or similar platforms 🔍 Familiarity with version control, testing practices, or CI/CD workflows If you’re excited about building machine learning solutions, learning fast, and growing your career in a supportive, high-impact environment, we’d love to hear from you. 👉 Apply now and take the next step in your ML engineering career.

We are looking for an experienced Service Operations Engineer. Responsibilities: • Responsible for planning the server or rack, arranging the server mounting or rack installation, and following up the installation of the server operating system, • Responsible for the daily maintenance, troubleshooting, repair and follow-up break-fix of the server and other hardware, • Maintain data on internal systems including Asset Management, Ticketing, & rack elevations, • Work with remote vendors or junior SOE to solve hardware batch failures and problems, • Oncall on duty, responsible for dealing with the problems raised by the business owner side, • Collect and check online asset data, • Submit and track the part RMA or media destruction process, • Server network troubleshooting, • Server lifecycle management, • Other server operation related work Requirements: • Bachelor’s Degree in Computer science, Electrical engineering or any other relevant fields, • Strong ability to work under pressure; Strong learning ability, broad technical interest; Strong sense of responsibility, full of enthusiasm for work, • Good communication skills in English, Mandarin is preferred, good team work spirit; Ability to work independently, • Knowledge of the interdependencies of data center functions and technologies, • Experience with massive remote OS installation such as PXE boot, • Can understand and run Shell or Python scripts, • Familiar with simple automation tools, such as Ansible, • Familiar with Linux system, able to locate hardware faults; Strong analytical and problem solving skills, • Basic TCP/IP knowledge concepts – Subnetting, VLANs, DNS, Ipv6; Ability to perform general troubleshooting, • Knowledge of out-of-band/lights-out server communication methods, such as IPMI and NCSI, • Strong documentation skills and habits What we offer • Onsite - London, • Full Time Employment; Permanent Contract, • Attractive Remuneration Package, • Career Growth Opportunities, • Skills Enhancement through Udemy Business, • Work in a well-established Multinational Company, • Supportive international team About Centific Centific expertly engineers platforms and curates multimodal, multilingual data to empower the ‘Magnificent Seven’ and enterprise clients with safe, scalable Artificial Intelligence(AI) deployment. Our team includes over 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We leverage an integrated ecosystem comprised of industry-leading partnerships, and 1.8 million vertical domain experts across 230 locales, to create high-quality pre-trained datasets, fine-tuned industry-specific Large Language Models(LLMs), and Retrieval-Augmented Generation (RAG) pipelines supported by vector databases. Our innovations can reduce Generative Artificial Intelligence(Gen AI) costs by up to 80% and bring Gen AI solutions to market 50% faster. Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in Generative AI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by leveraging Generative AI at scale, ensuring they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets. Applying to this job implies your agreement with: In compliance with the applicable data protection regulations (General Data Protection Regulation 679/2016), we at Centific, as data Controllers, inform you that the data collected will be processed to manage your application in the selection process. This processing is legitimized by the consent given upon submitting your application, and the data will be retained for a maximum of two years. You may exercise your rights of access, rectification, deletion, opposition, restriction of processing, and data portability by contacting Furthermore, if deemed necessary, you may file a complaint with the relevant supervisory authority. Your Authentic Self at Centific Centific is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Centific is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Forward Deployed Data Engineer (Enterprise Platform / AI-Enabled Systems) Salary: £45,000 – £75,000 (DOE) Location: London (Hybrid – 3 days onsite) The Opportunity We’re partnering with a fast-growing B2B SaaS company building an advanced enterprise data and AI platform used by large, global organisations. They’re hiring a Forward Deployed Data Engineer — a hands-on, customer-facing role for engineers who enjoy solving real business problems and seeing their work live in production. This is not a traditional “support” role. You’ll act as an extension of the product and engineering team, working directly with customers to adapt and deploy the platform in high-impact environments. If you enjoy ownership, context, and variety — and don’t want to spend your career just building internal pipelines — this role offers something different. What You’ll Be Doing (In Practice) • Work directly with enterprise customers to deploy and adapt the platform in production, • Take loosely defined business problems and turn them into working data solutions, • Configure and extend the platform to fit different customer contexts and priorities, • Design and implement AI-enabled workflows that support decision-making and automation, • Build and maintain data integrations using Python, PySpark, SQL, and distributed systems, • Partner with customers to define success metrics and ensure solutions deliver real outcomes, • Feed learnings from the field back into the product and engineering teams You’ll be trusted with meaningful responsibility, but supported by experienced engineers and product leaders. What They’re Looking For • 2–4+ years’ experience in data engineering, analytics engineering, or similar roles, • Comfortable working with ambiguous requirements and evolving priorities, • Strong fundamentals in Python, SQL, and working with large or complex datasets, • The ability to explain technical concepts clearly to non-technical stakeholders, • A mindset oriented around ownership, problem-solving, and outcomes Experience in startups, scale-ups, or consultancies is helpful — but not required. Nice to Have (Not Required) • Experience with tools like Databricks, dbt, Airflow, or similar platforms, • Some exposure to API development or backend systems, • Experience integrating enterprise systems (ERP, CRM, operational platforms), • Familiarity with dashboards or data visualisation tools, • Exposure to AI-enabled workflows or automation If you don’t tick every box, that’s okay — they’re more interested in how you think than what tools you’ve used. Why This Role Appeals to Engineers • High ownership and visible impact — your work goes live with real customers, • Variety: each deployment brings new challenges and learning, • Close collaboration with product, engineering, and senior customer stakeholders, • Strong exposure to enterprise-scale data and AI use cases, • Competitive salary, meaningful equity, and clear progression opportunities, • Hybrid working, modern London office, and a mission-driven culture

Senior Full Stack Data Engineer – Decho Group (Part of Accenture) About Decho Group Decho Group is a fast-growing Tech and AI consultancy, founded to solve complex data challenges for governments and enterprises. We specialise in Palantir technologies, advanced analytics, and AI-driven solutions that transform how organisations make decisions. In October 2025, Accenture acquired Decho Group, recognising our unique ability to combine deep engineering expertise with strategic advisory, tackling mission-critical problems in defence, healthcare, and commercial industries. Joining Decho means joining a consultancy where AI meets engineering excellence. You’ll be part of a team that thrives on curiosity, collaboration, and bold thinking, working on projects that genuinely change lives and industries. The Role We’re seeking Senior Consultant Engineers who want to apply their technical mastery in AI consultancy and Palantir engineering while shaping the future of data-driven decision-making. This is a hands-on, client-facing role where you’ll lead technical delivery, partner directly with stakeholders, and act as a trusted advisor. You’ll combine software engineering expertise with strategic problem-solving, working across data pipelines, operational workflows, and AI models to deliver transformation at scale. Key Responsibilities • Lead & Architect: Own the design of innovative solutions using Palantir software, ensuring scalability and long-term impact., • Engineer Data at Scale: Build, optimise, and maintain complex pipelines and ETL processes powering mission-critical decision models., • Strategic Workflows: Develop enterprise-grade workflows and decision-support tools that reshape operations across industries., • AI Leadership: Guide the integration of AI and machine learning models into client environments, ensuring measurable outcomes., • Client Engagement: Partner directly with senior stakeholders, translate business needs into technical solutions, and influence strategic direction., • Technical Excellence: Set engineering standards, champion best practices, and drive continuous improvement across teams., • Mentorship & Growth: Coach junior engineers, foster knowledge-sharing, and contribute to the Decho Lab’s innovation culture. What We’re Looking For • 5+ years of experience in software/data engineering with proven expertise in Python, SQL, and TypeScript., • Ideally experience with Palantir technologies (Foundry, Gotham, or similar platforms)., • Advanced knowledge of data engineering, ETL pipelines, and workflow design at enterprise scale., • Track record of leading teams, mentoring engineers, and delivering complex projects in client-facing environments., • Passion for AI, machine learning, and emerging technologies, with ability to translate innovation into impact., • Exceptional problem-solving, communication, and stakeholder management skills., • Curiosity, adaptability, and a drive to make a real-world impact. Why Join Us • Be part of a fast-growing AI consultancy now backed by Accenture’s global scale., • Lead mission-critical, client-facing projects across government, defence, health, and commercial sectors., • Gain hands-on experience in AI, advanced analytics, and Palantir technologies while shaping industry standards., • Build your career story as a senior leader driving transformation in data-driven decision-making., • Thrive in a culture that values innovation, collaboration, and bold ambition. Unfortunately we can not provide sponsorship for this opportunity

We’re hiring a senior, product-minded engineer to help build and scale an internal application platform used across a fast-moving, global financial environment. This is a high-ownership role focused on enabling internal teams to build faster, safer, and better software. What you’ll be doing • Designing and building core internal platform services (auth, permissions, UI frameworks, data access layers), • Creating reusable tooling and frameworks that accelerate application development, • Partnering closely with non-engineering teams (product, operations, risk, compliance) to design real-world workflows, • Owning shared infrastructure: service orchestration, observability, CI/CD, error handling, • Setting standards for architecture, frontend/backend patterns, and platform onboarding, • Mentoring engineers and driving best practices across teams, • Integrating modern AI tooling (LLMs, vector databases, RAG workflows) into internal platforms What we’re looking for • 6+ years experience as a software or platform engineer in complex environments, • Strong Python engineering background (compiled languages a plus), • Experience with cloud-native systems (Docker, Kubernetes, CI/CD), • Familiarity with distributed systems, high-throughput services, and multi-threading, • Exposure to internal developer platforms, shared libraries, or enterprise tooling, • Excellent communication skills and comfort working with non-technical stakeholders Why this role • High impact, greenfield platform work, • Modern tech stack with real ownership, • Global scale with startup-style autonomy, • Competitive compensation and strong growth opportunities

This role is with one of Dex’s trusted Partner companies. We work closely with their teams to truly understand their culture, goals, and what they’re looking for, so we can match you with the right opportunity for your goals! If you’re interested, apply here, or head over to Dex to find other opportunities with top tech companies, where you can truly find work that matters! Early-Stage AI "Software Factory" Disruptor Our partner is a high-growth, VC-backed startup tackling a massive societal challenge: the digital transformation of physical industries like energy, manufacturing, and logistics. While most software ignores these "real-world" sectors, this team is building an AI-powered Software Factory to deploy bespoke digital tools that fix fragile legacy systems. Backed by top-tier investors like Notion Capital and Hoxton Ventures, they’ve seen explosive revenue growth since 2023 and are now scaling an "all-star" early engineering team. This is an opportunity to join a mission-driven company where your code directly impacts the stability of global supply chains and economies. What you’ll do We are looking for a Lead Software Engineer who will lead a team of 3-6 talented engineers while spending more than half your time doing deeply technical work. You will be responsible for building high-performing teams, shaping technical direction, and ensuring delivery of impactful projects. You will be part of an all-star early team, building the future of software. • Lead and develop a team of 3-6 engineers, providing coaching, feedback, and career growth opportunities., • Own delivery of technically complex, high-impact projects, ensuring quality and scalability while balancing trade-offs under pressure., • Contribute to architecture and systems design across multiple product areas, bringing clarity in ambiguous situations., • Write and ship high-quality, efficient, and reliable code that is extendible, scalable, and observable. You know how to move fast without breaking things and you know how to keep the right balance between experimentation and shipping., • Take ideas from experimentation to shipping. You intuitively know what a great product looks like., • Build and help foster an engineering culture that encourages innovation and high-quality code standards, while shipping fast., • Collaborate closely with other teams to build world-class software., • Work closely with Product to help define the roadmap and set objectives. What you’ll bring We are looking for a leader who thrives in the "ambiguous" phase of a startup and has a "buck stops here" attitude. • At least 3 years of experience leading and hiring engineering teams, with a track record of working in complex, large codebases., • Proficiency in modern typed Python, Go, or modern Frontend development, along with experience in Docker, PostgreSQL, or DSL/Compilers., • Professional or enthusiastic personal experience with LLMs and their ecosystems (e.g., Langchain, RAG, or observability tooling)., • You are a "creative experimentalist" who can balance the need for speed with long-term engineering maintenance., • A commitment to building diverse teams; notably, candidates with career breaks or CV gaps are explicitly encouraged to apply. What you’ll get • Competitive salary and a share option plan., • Private healthcare (including family cover and pre-existing conditions) and access to on-site gym/fitness classes., • An excellent pension scheme, fixed at 7.5%., • 25 days of annual leave plus public holidays., • A hybrid working model (typically 2 days per fortnight in their London office), with negotiable schedules. To be considered for this role, apply directly, or sign up to Dex to find other opportunities! You're used to solving the toughest problems - Your job search shouldn't be one of them!

We’re looking for a hands-on Android expert who takes pride in building beautiful, high-quality mobile experiences — and who’s comfortable stepping into iOS when needed. You’ll take full ownership of our Android app and play a key role in elevating our iOS app. This isn’t a maintenance role. It’s an opportunity to shape the next generation of our mobile product, improve how we build, and bring an AI-first mindset into everyday engineering. If you care deeply about polish, performance, and architecture — and you want real ownership in a fast-moving product team — you’ll thrive here. What You’ll Own You won’t just “work on tickets.” You’ll be trusted to own the mobile experience end-to-end. • Full ownership of our Android app (Kotlin, Jetpack Compose), • Shipping white-label Android releases for clients, • Fixing critical issues and improving overall app stability and performance, • Building new features with a focus on clean architecture and long-term maintainability, • Supporting the iOS team with Swift debugging and UI improvements, • Partnering closely with design to create smooth, delightful user interactions, • Raising the quality bar for animation, responsiveness, and user experience across both platforms, • Making pragmatic architectural decisions to keep the Android codebase healthy and modular, • Actively exploring and applying AI tools to improve how we design, build, and ship software, • Shipping frequently, iterating quickly, and sweating the small details users notice What Makes You a Great Fit You’re an Android-leaning engineer who thinks like a product builder. • You care about craft, UX, and polish as much as functionality, • You’re comfortable owning problems end-to-end without waiting for direction, • You enjoy working in fast-moving environments where things evolve, • You’re curious about how AI can change the way we build software, • You’re pragmatic, thoughtful, and opinionated about architecture and quality Core Skills & Experience • Strong Kotlin experience and deep familiarity with Jetpack Compose, • Working knowledge of Swift and UIKit, • Solid understanding of MVVM and Clean Architecture patterns, • Experience building modular, testable codebases, • Comfort with dependency injection patterns, • Experience integrating APIs (REST, JSON), • Confident with Git and collaborative workflows, • Proven track record of owning and shipping complex Android apps in production Nice to Have • SwiftUI, VIPER, Combine, or RxSwift experience, • Experience in large, multi-module projects, • CI/CD pipeline experience, • Strong eye for UI, motion, and animation, • Experience with multi-tenant or white-label mobile applications

Senior Software Engineer - AI Infrastructure We’re working with a hyper growth company. They are building the GPU infrastructure to the best ai labs and the biggest enterprise companies. They are building the solution that allows researches to focus on their models, while utilising the phenomenal scale and reliability of the world best ai cloud platform. The engineering team is small, ambitious, and deeply technical, building the orchestration systems that keep thousands of GPUs running at peak performance across global data centres. This role sits at the heart of it, designing and scaling the systems that make AI at exascale possible. What You’ll Focus On You’ll help shape the orchestration layer for one of the most advanced AI compute environments in the world. Your work will involve: • Designing core platform services for cluster provisioning, workload orchestration, and resource management APIs., • Building integrations with schedulers (Kubernetes, Slurm) and container runtimes for reliable, high-performance GPU workloads., • Developing automation for deployment, imaging, and multi-tenant resource allocation., • Optimising scheduler performance and resource utilisation across diverse workloads., • Building lifecycle management and automated remediation systems for large-scale clusters., • Creating Infrastructure-as-Code modules to support rapid, repeatable deployments across varied environments. About You You’re a pragmatic systems builder who thrives in complexity, enjoys autonomy, and understands what it means to own production at scale. You’ll likely bring: • 5+ years’ experience building distributed systems in Go within cloud-native environments., • Deep hands-on experience with Kubernetes and container orchestration., • A strong grasp of Infrastructure-as-Code (Terraform) and configuration management tools (Ansible, Puppet, or similar)., • Experience deploying and operating large-scale GPU clusters or HPC systems., • Working knowledge of ML infrastructure and familiarity with GPU drivers, CUDA, and container runtimes., • A low-ego, collaborative approach and a clear, proactive communication style. In short: This is a role for engineers who like big systems, hard problems, and meaningful ownership. You’ll be joining a team operating at the intersection of software, hardware, and AI.

Machine Learning Engineer / Junior Machine Learning Engineer Level: Junior ML Engineer (£56,000) | ML Engineer (£65,000) Location: London About the Role Our client is a global defence, security, and intelligence consultancy delivering high-assurance digital, cyber, and AI solutions into some of the UK’s most critical national security missions. They are growing their National Security AI capability in London and are hiring Machine Learning Engineers at both junior and mid-level. These roles sit within a specialist team delivering applied machine learning and GenAI solutions across defence, space, and wider government environments. The work spans exploratory research, rapid prototyping, and full production deployment. You will be solving complex, real-world problems using modern ML and LLM techniques, working on sensitive, high-impact systems where quality, governance, and operational readiness genuinely matter. What You’ll Be Doing • Designing and developing machine learning models across forecasting, classification, and anomaly detection use cases., • Building and deploying GenAI and LLM-enabled solutions, including prompt-driven and RAG-based architectures., • Running structured experimentation cycles, defining hypotheses, designing experiments, and evaluating results within governance constraints., • Transitioning validated experiments into production-ready systems in collaboration with software and platform engineers., • Building and maintaining ML pipelines on AWS using modern MLOps and LLMOps tooling., • Implementing experiment tracking, model versioning, and reproducibility with full auditability., • Supporting production models through monitoring, evaluation, and continuous improvement., • Applying responsible AI practices including explainability, validation, and fairness assessment., • Communicating outcomes and trade-offs clearly to technical and non-technical stakeholders. Ideal Background You will have experience in many of the following areas. Expectations scale by level. • Hands-on experience building ML models in Python using libraries such as scikit-learn, XGBoost, PyTorch, or TensorFlow., • Experience deploying ML workloads on AWS, including services such as SageMaker, Lambda, and S3., • Understanding of experiment design, evaluation techniques, and statistical reasoning., • Experience taking models from experimentation into production environments., • Familiarity with MLOps tooling such as MLflow, Weights & Biases, or Data Version Control., • Experience developing or integrating LLM and GenAI applications, including prompt engineering and retrieval-augmented generation., • Ability to work across disciplines and communicate technical findings clearly., • A pragmatic mindset and good judgement about when machine learning is and is not the right solution. Nice to Have • Experience with advanced LLM techniques such as agents, tool use, or agentic workflows., • Experience with vector databases for RAG use cases., • Familiarity with feature stores, containerisation, or orchestration platforms., • Exposure to infrastructure-as-code tooling such as Terraform or CloudFormation., • Experience with large-scale data processing frameworks., • Background working in regulated or high-assurance environments. Clearance Reality Security clearance is required for this role. Candidates who are not currently cleared must be eligible and willing to go through the process. What You’ll Receive • Salary up to £65,000 for ML Engineer and up to £56,000 for Junior ML Engineer., • Hybrid working with flexibility around core hours., • 25 days annual leave with options to buy, sell, or carry over., • Competitive pension and flexible benefits package., • Company bonus scheme., • Dedicated career management and structured progression pathways., • Access to internal communities focused on diversity, inclusion, and wellbeing. Who This Role Suits Best This role suits engineers who want to work on meaningful, production-grade ML systems rather than proofs of concept. It is a strong fit for candidates who enjoy balancing experimentation with operational discipline and want their work to have tangible national impact.

Company Description Permutable AI is a cutting-edge technology company specializing in delivering real-time AI-driven solutions for the financial sector. By combining advanced language models with deep financial expertise, our platform empowers traders, hedge funds, and investment professionals with rapid market insights and decision-making tools. Our solutions, like the Trading Co-Pilot, are designed to save clients significant time while enhancing analysis and investment strategies. Trusted by leading financial institutions, we focus on creating transformative, plug-and-play tools that provide tangible value with minimal implementation effort. Based in London, we are committed to revolutionizing the financial industry through strategic innovation and global partnerships. Role Description This is a full-time hybrid role based in the London Area, United Kingdom. As a Senior MLOps & Platform Engineer, you will be responsible for designing, building, and maintaining robust software infrastructure to support large-scale machine learning applications. You will troubleshoot technical issues, manage databases, and optimize programming workflows for AI-driven financial solutions. Collaborating with cross-functional teams, you will ensure the reliability, scalability, and performance of our proprietary tools. This role offers the flexibility to work both on-site in London and remotely as needed. Qualifications • Strong skills in troubleshooting and problem-solving within complex systems, • Proficiency in software development and infrastructure management, • Expertise in programming and writing optimized, scalable code, • Hands-on experience with database design, management, and optimization, • Familiarity with cloud platforms, DevOps practices, and CI/CD pipelines, • Experience working with AI or MLOps frameworks is a plus, • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, • Strong analytical thinking and ability to work collaboratively in cross-functional teams Package • Competitive base + stock options, • Flexible working days / hours

Applied AI Engineer | London 🚀 One of the fastest moving AI startups in London, backed by some of the world’s top VCs and founded by real entrepreneurs with multiple exits 💸 This is a rare chance to join at an early stage and build at the absolute frontier of applied AI, working directly with the founders on a product already used by global enterprise customers 🔥 Why this is exciting • Build and ship production AI systems including RAG pipelines and AI agents, • Work end to end across backend, infrastructure and AI, • Shape architecture, engineering standards and culture from day one, • Huge ownership and real impact 🧠 What you need • 5+ Years professional software experience (Python), • Excellent Educational Background (BSc, MSc, PhD - 2.1 or higher), • Hands-on experience building and deploying AI applications, • Comfortable moving fast in high ambiguity environments, • Genuine passion for building products that scale 🎁 What is on offer • Very competitive salary + meaningful equity, • Direct access to truly entrepreneurial founders, • A defining role at one of London’s most ambitious startups Challenging and intense, but tons of fun 🙌 Apply here, or pop your CV to to find out more!

🚀 Product Engineer – High-Impact Software, Real Ownership Extremely competitive salary (6 figures+) and package to be discussed IF this role is suited to you! This isn’t a typical software engineering role. I’m working with a product-led software company whose platform is used globally by highly technical users to solve real, complex problems in web technology. They’re looking for Product Engineers who care deeply about outcomes over output - engineers who want genuine ownership, autonomy, and the chance to build software that truly matters. This role is perfect for engineers who started as Java developers but have grown to work across multiple languages, frameworks, and stacks. If you like solving problems, shaping products, and exploring new technologies, this role is for you. This is a role for thoughtful engineers who want to shape what gets built, not just how it’s built. What makes this role different? You won’t be handed a backlog and told to crack on. From day one, you’ll: • Own problems end-to-end, • Talk directly to users and use insight to guide decisions, • Design, build, and evolve features used by a large, expert audience, • Be trusted to experiment, iterate, and make sensible trade-offs, • Ship meaningful work with real-world impact It’s high-leverage work in a high-trust environment. 🛠 What you’ll be doing • Solving complex technical problems with creativity and sound judgment, • Working across the stack as an expert generalist (backend-leaning, but curious everywhere), • Designing and shipping robust, user-ready features, • Collaborating closely with other engineers, designers, and product partners, • Sharing work early and actively inviting feedback, • Using modern AI tools (LLMs, copilots, agents) to improve developer workflows and explore user-facing product opportunities 👀 What they’re looking for This role suits engineers who are product-minded problem solvers, not just implementers. You’ll likely bring: • Strong backend engineering experience (Java is ideal, but mindset matters more than language), • Comfort working across different technologies (e.g. Java, .NET, Python, Go, microservices), • Experience in product-led teams, • Confidence operating in ambiguity and owning problems through to impact, • A genuine interest in users, not just systems, • Curiosity about AI — and good judgment about when (and when not) to use it Just as important as technical skill: • Growth mindset, • Openness to feedback, • Strong collaboration habits, • High personal standards for quality and clarity Both technical excellence and cultural fit are critical — the bar is deliberately high. Why consider this role? • Software with genuine purpose and global reach, • Real ownership and influence over product direction, • A culture of autonomy, trust, and continuous learning, • High standards paired with strong support, • Excellent compensation based on individual impact, • A collaborative, humble, and high-performing engineering team If you’re a backend-leaning engineer who enjoys thinking deeply, building carefully, and working on problems that actually matter, this is well worth a conversation.