Trabajos ai engineer en Reino Unido - Page 11

Full Stack Product Engineer | Remote (UK) | High-Growth Startup This isn’t a “join and maintain” role - it’s a chance to own, build, and move fast inside a profitable, high-growth startup led by an exceptional ex-Meta founding team. They already have traction and revenue. Now they need a high-agency engineer who can operate independently, ship quickly, and shape both product and architecture in a fully remote environment. What You’ll Do • Own and scale core backend systems, APIs, and internal tools, • Ship features end-to-end - from idea to production, • Make smart technical decisions that directly impact users, • Move fast, iterate constantly, and build with real product context What They’re Looking For • 4+ years experience building with Python, TypeScript, or similar, • Proven ability to design scalable, clean systems, • Highly autonomous - you don’t wait for direction, • Strong product mindset and sound engineering judgment, • Comfortable working fully remote in a high-performance team, • Familiar with using AI tools (e.g. Claude, ChatGPT, or similar) to accelerate development Why This Role Stands Out • Profitable startup - real traction, real users, • High ownership, zero bureaucracy, • Small team, big impact, • Equity + strong salary Full Stack Product Engineer | Remote (UK) | High-Growth Startup

Analytics Engineer London, hybrid working. Salary up to £66,000 depending on experience. This is an exciting opportunity to play a key role in shaping a modern data ecosystem for a forward‑thinking organisation. You will help transform complex data into clear, accessible and high‑quality datasets that enable better reporting, analytics, digital tools and emerging AI initiatives. The Company They are a global, design‑driven organisation investing heavily in their data capabilities to enhance decision making, project delivery and innovation. With a strong focus on digital transformation, they are building a modern data platform that supports both creative and operational excellence. You will join a collaborative environment where data is seen as a strategic asset and where new ideas are encouraged. The Role • Develop and maintain scalable ELT and ETL pipelines using Azure Data Factory and Databricks., • Build and optimise transformation logic in Databricks using Python, SQL and Spark., • Model datasets across Bronze, Silver and Gold layers to ensure clarity, consistency and usability., • Work closely with teams across the business to translate their needs into reliable, well‑structured data models., • Ensure data quality through validation, testing and clear documentation., • Implement data governance practices and access controls using Unity Catalog., • Support system transformations, including data migrations and quality assurance., • Promote best practices in data engineering, analytics and development workflows. Your Skills and Experience • Strong commercial experience in analytics engineering or data engineering., • Skilled in Azure, Databricks, Python, SQL and Spark., • Experience with Microsoft 365, Power Platform or Graph API is beneficial., • Comfortable working with complex datasets and modern data architectures., • Able to communicate technical concepts clearly to non‑technical stakeholders., • Passionate about solving business problems with data and contributing to continuous improvement. What They Offer • Competitive salary up to £66,000 plus benefits., • Hybrid working in London., • Opportunity to shape a modern lakehouse environment and contribute to emerging AI workflows., • Clear pathways for development through involvement in a growing data function. How to Apply If you are interested in this Analytics Engineer opportunity, please apply with your CV and we will be in touch.

Product Engineer – Claude Code / AI Agents Hybrid – 1 / 2 days per week in London Salary very much dependant on skills and experience Do you have a background in software development / product engineering and experience in using AI Agents for producing code? Do you like to question outputs and think of the overall system context? Can you think and not just type? Please get in touch! This is a new position in a start up environment, where there is a plan to move from an outsourced platform development model to inhouse, using Claude Code. You won’t be writing code, but you will be constantly thinking about architecture, assessing plans, guiding AI execution and validating outputs. You will be the human in the AI Native engineering model - providing judgement calls on the AI Agents code – is it right or does it just work? Is it the right solution or just based on assumptions? As the Product Engineer, you will steer the AI Agent through a structured methodology, applying judgment at every gate, and ensuring the output is architecturally sound, production-quality, and aligned with the product vision. Due to the start up nature of the role you will work directly with the COO and CTO to shape the product, build new features, harden the existing platform, and establish the engineering practices that will scale as the company grows. Core Accountabilities will include: • Translate business objectives, customer feedback, and market opportunities into clear technical direction, • Own the translation of product intent into effective briefs that the factory can execute against, • Define and maintain the target technical architecture for the platform, ensuring every Claude Code output aligns with it, • Continuously review architectural decisions as the codebase evolves to avoid AI Drift, • Own the system design documentation that feeds Claude Code’s context, • Critically assess every plan Claude Code generates before approving execution, • Guide Claude Code through effective prompting: precise context injection, constraint specification, and decomposition of complex work, • Monitor chain performance: where does Claude Code excel, where does it struggle, what context improves output quality - Catch AI-specific failure patterns, • Build and refine the context layer (architecture docs, coding standards, domain rules) that feeds the chain - When the chain fails, fix the chain. You will come from a background in development / engineering and strong coding experience but with great architecture and overall system knowledge. You will have pivoted to AI-augmented workflows You will have experience in AI Agents – Claude Code, Cursor, Devin, or similar tools and understand their limitations as well as their strengths.

Senior Full‑Stack Engineer – FX e‑Trading – London Atrium EMEA is looking for several Senior Full‑Stack Engineer with good experience of FX e‑Trading (React/TypeScript + Java) to help architect and build a new FX e‑trading platform from the ground up, working across the stack to deliver high‑performance, resilient, and secure systems. You will partner closely with product, trading, and infrastructure teams to deliver features end‑to‑end—from UI and desktop container experiences to low‑latency backend services. Lean into the latest AI coding tools to accelerate delivery, strengthen code quality, and enhance developer experience. 4 days onsite in London. PAYE/Umbrella options. • Lead design and development of full‑stack features: React/TypeScript web apps, desktop container integrations (OpenFin or similar), and Java services., • Architect and implement scalable, event‑driven, and microservices‑based backend components (e.g., Spring Boot), including APIs, market data, order/risk workflows, and real‑time streaming., • Build performant and accessible UIs with modular, reusable components; drive state management, data visualization, and UX for trading workflows., • Optimize latency, throughput, and reliability across the stack; instrument observability (metrics, tracing, logging) and performance profiling., • Establish engineering best practices: code standards, testing strategies (unit/integration/E2E), CI/CD, secure coding, and release management., • Mentor engineers through code reviews, design sessions, and hands‑on pairing—encouraging thoughtful abstractions, clean architecture, and pragmatic delivery., • Use AI development tools for assisted coding, refactoring, test generation, secure code analysis, documentation, and knowledge search—evaluating where AI accelerates while maintaining human oversight., • Collaborate with stakeholders to translate trading requirements into robust technical designs; write clear specs and implementation plans. Essential: • Professional software engineering experience, with deep expertise in: Frontend: React, TypeScript, modern tooling (bundlers, linting, testing frameworks)., • Backend: Core Java, Spring Boot (or similar), multithreading/concurrency, performance tuning., • Experience designing and operating distributed systems (microservices, event‑driven architectures, messaging/streaming)., • Strong understanding of computer science fundamentals (data structures, algorithms, concurrency, networking, OS)., • Proven experience in e‑trading or real‑time financial systems (FX highly desirable), including familiarity with market data, order flows, and execution workflows., • Hands‑on with CI/CD, containerization, cloud/on‑prem deployments, and observability., • Comfort evaluating and integrating AI coding tools into daily development workflows., • Excellent communication and stakeholder engagement; able to lead initiatives and mentor others., • Experience with desktop container frameworks (OpenFin, Electron, or similar)., • Experience with streaming/messaging (e.g., Kafka, Solace) and low‑latency patterns., • Knowledge of web performance optimization and accessibility. Click Apply now/Contact Lianne to be considered for the Senior Full‑Stack Engineer – London role

Software Architects – Data & Performance – .NET, Azure, SQL, Cloud Architecture –(Edinburgh/UK Remote) 🌳🌳🌳 🚀 Areti Group | B Corp™ Scotland, United Kingdom Software Architect – Data & Performance – .NET, Azure, SQL – Scotland / UK Remote – Award-Winning, High-Growth AI SaaS Scale-Up Award-Winning, High-Growth Tech Scale-Up | AI-Driven SaaS | This hire will play a critical role in defining how data, AI, and large-volume workloads power the future of the platform. This is not a “maintenance architect” role. This is a hands-on architectural leadership position shaping the backbone of a high-impact SaaS product. Your role will involve the following: 🌳 Analysing existing systems against future roadmap requirements 🌳 Defining scalable architectural solutions for high-volume data 🌳 Leading data performance and optimisation initiatives 🌳 Embedding security and privacy-by-design principles 🌳 Delivering and reviewing cloud-native Azure solutions 🌳 Driving architectural change within established codebases 🌳 Supporting how AI and data intelligence integrate into core product workflows This is a role for someone who enjoys modernising, evolving and strengthening architecture — not just maintaining it. 💻 Tech Stack We’re seeking a strong back-end architect operating confidently within: 🌳 .NET (Framework & Core) 🌳 Azure SQL Server 🌳 Azure Cloud Platform 🌳 MSSQL Broader exposure to: 🌳 Search technologies (Lucene, Elastic, NoSQL) 🌳 Azure Cognitive Search 🌳 Data pipelines (Fabric or similar) 🌳 MS SQL views 🌳 Performance optimisation and query tuning You’ll be comfortable navigating complex data environments and implementing architectural improvements without disrupting delivery momentum. 🌟 About You 🌳 A senior back-end engineer or architect with strong system design capability 🌳 Experienced implementing architectural change in live SaaS products 🌳 Excellent at breaking down large, ambiguous problems into manageable deliverables 🌳 Confident managing risk, complexity and trade-offs 🌳 Strong collaborator who can align engineering with product and business goals 🌳 Passionate about building scalable, high-performance, future-ready systems 🌳 Comfortable in a fast-scaling environment with evolving requirements 🎁 What You’ll Get 🌳 £75,000 - £90,000 depending on experience 🌳 £1,000+ annual personal & professional development budget 🌳 33 days holiday (rising to 40 days with tenure) 🌳 4-week paid sabbatical after 5 years 🌳 Private healthcare (medical, dental & vision) 🌳 Income protection & death-in-service cover 🌳 Matched 5% pension 🌳 20 hours paid volunteering time 🌳 Monthly team social time 🌳 A genuinely collaborative, ambitious engineering culture 🌍 Working Model Hybrid – Edinburgh or UK Remote 🌳 Flexible 37.5-hour working week 🌳 No mandated office days – autonomy and outcomes matter 🌳 Strong collaborative culture with optional in-office connection 🚀 High-Impact Architectural Hire This is a pivotal role influencing how data, performance and AI scale across the platform. You’ll help define how customers access, use and interact with mission-critical data — driving measurable business results. Immediate interview slots available for strong candidates. 📌 Please ensure your CV clearly demonstrates: • Architectural design experience, • Data-heavy or performance-sensitive systems, • Azure cloud delivery, • Technical leadership within live SaaS environments 🌳 Areti Group – Carbon Positive Tech Recruitment 🌳🌳🌳 People & Planet Before Profit. Building teams that leave the world better than we found it.

We're building the Moody's of autonomous systems. This is the technical co-founder role. $650B+ of sovereign AI investment is being deployed globally. The EU AI Act enforces from August 2026. UK SM&CR makes executives personally and criminally liable for AI they deploy. Lloyd's is excluding GenAI from policies entirely. Every regulated institution deploying AI needs independent verification infrastructure — and no infrastructure-grade solution exists. We're building it. Not compliance SaaS. Not an LLM wrapper. Infrastructure that sits between autonomous systems and the regulated world — the way Moody's sits between issuers and capital markets. Harvey AI ($5B) did this for legal. Vanta ($4.15B) did it for compliance. We're doing it for sovereign AI verification. The CEO brings deep regulatory networks — King's Counsel, ex-FCA regulators, Lloyd's underwriters, sovereign government relationships across UK, EU, and GCC. A Founding Engineer is in place for implementation. What's missing is the technical leader who sets the architectural direction and builds this into a category-defining company. The hard problems: → Verification models for AI systems that are themselves evolving — continuous evaluation, not static audits → RLHF annotation schemas that capture regulatory nuance across jurisdictions without collapsing to generic labels → A data flywheel where every expert attestation compounds into increasingly accurate automated review → Sovereign-first infrastructure with structural immunity to foreign jurisdictional overreach → Real-time telemetry for multi-agent systems with sub-second intervention capabilities What you'd own: Year 1 — The architectural decisions that determine whether this becomes infrastructure or just another SaaS product. Sovereign cloud design. RLHF schema. Verification model approach. Data architecture. You work alongside a Founding Engineer and ship the MVP as the technical co-founder who sets the standard for everything that follows. Year 2+ — Scale the engineering team. Multi-zone sovereign deployment. Cascade kill switch for multi-agent systems. You're in the room for the major VC round explaining why the sovereign data moat and regulatory lock-in create a defensible infrastructure company. The opportunity: • Co-founder-level equity — meaningful double-digit stake, 4-year vest, 1-year cliff, milestone acceleration, • Bootstrap model — VC round raised from strength, not desperation, • Below-market cash Year 1, scaling aggressively with revenue, • London preferred, UK remote considered You might be: → A researcher or senior engineer from DeepMind, Meta FAIR, Anthropic, OpenAI, or a frontier AI lab → A senior infrastructure engineer from CrowdStrike, Datadog, Palantir, or Stripe → An exceptional graduate of Cambridge, Oxford, Imperial, ETH Zurich, CMU, Stanford, MIT, or equivalent — with open source, shipped products, and published research (NeurIPS, ICML, IEEE) → A senior engineer from RegTech/FinTech (Onfido, ComplyAdvantage, Thought Machine, Quantexa, Revolut) Must-haves: • You write production code today — Python + cloud infrastructure minimum, • You've built and shipped, not just researched, • You can hold your own in a Tier 1 VC partner meeting, • Based in the UK or relocating. Full-time from day one. DM me with: (1) What you've built — be specific (2) A link (GitHub, paper, product) (3) Why this problem interests you No generic CVs. Builders only.

Get this job and you'll probably never have to apply for another role again... 💼 Enterprise SaaS Sales 📍 London based, hybrid but onsite will be preferred 💸 £120–150k base | uncapped OTE | serious upside Intro: We’re hiring for one of the most sought-after sales roles on the market right now. This is an Enterprise AE role at a top 5 global AI company. Less than 300 people worldwide. Already doing billions in revenue. Product-led. Engineering-first. Executive approved. The platform is used by elite engineering teams to build software faster, more accurately, and more reliably than ever before. This is not “selling software to IT”. This is selling directly into the people who actually build the product. Top performers here will clear £1m+ per year in commission. If you’ve ever wanted to sell something engineers genuinely love, this is that role. What you’ll be doing 🧠 Selling an AI-native developer platform into senior engineering and product teams 🔍 Running deep, technical, product-first sales conversations 📈 Owning large Enterprise deals end to end 🧩 Building pipeline through a mix of inbound demand and smart outbound 💬 Speaking fluently with CTOs, Staff Engineers, Heads of Platform, VP Eng 🛠 Working closely with product and engineering internally, not just sales Sales cycles are thoughtful, technical, and high trust. This role is for you if you ✅ Have sold into engineering teams before ✅ Can speak product and engineering language without faking it ✅ Come from an eng-led, dev-first, or AI sale ✅ Are comfortable selling complexity ✅ Have a strong Enterprise track record and real numbers to back it up ✅ Want to be in a business where the product does most of the talking You do not need to be an ex-engineer. You do need credibility with engineers. Why this role is special 🚀 One of the fastest-growing AI platforms in the world 💰 Truly uncapped earnings, $1m+ is real and proven 🧠 Engineers actually want this product 🌍 Massive whitespace still left globally 🏆 Small, elite sales team with very high bar 📈 Career-defining logo on your CV This is the kind of role people don’t leave. If you’re an Enterprise AE who’s bored of selling horizontal SaaS to people who don’t care, and you want to sell something genuinely world-changing to the people who build the future, this is worth a conversation. Needless to say, I'm proud to be representing the company Ash Founder @ Tipped Recruitment

Full Stack Engineer – Java – AI Duration: 10 months contract Pay: PAYE Rate £632.91 / Umbrella Rate £750 Location: 4 days onsite – London • Full‑Stack Engineer with strong Java skills to design and build features for FX Trading applications, including AI‑driven capabilities that enhance decisioning, automation, and user experience. Qualifications • Bachelor’s degree in computer science, engineering, or related discipline; or equivalent work experience., • 5–9 years of professional software development experience; experience in financial services—particularly FX Trading applications—is highly desirable., • Excellent communication skills and proven ability to work within agile, cross‑functional teams. Core Technical Skills • Backend: Strong Java development, Spring/Spring Boot, multi‑threaded and mission‑critical services, RESTful APIs, microservices, messaging (Kafka/MQ), and concurrency patterns., • Frontend: Angular; exposure to React is a plus. Proficiency in TypeScript and modular UI design is beneficial., • Data: Experience with relational databases (Oracle/SQLServer), SQL proficiency, schema design, query optimization; familiarity with caching (Redis/Hazelcast) and API contract testing., • Shift‑left quality mindset and risk‑based test planning., • Observability & reliability: Strong debugging/troubleshooting habits using logs and traces; awareness of metrics, distributed tracing, and resiliency patterns .AI • Experience integrating AI capabilities and workflows into existing production systems is desired. In particular, • Familiarity with Machine learning concepts (model versioning, evaluation, monitoring, drift detection, CI/CD for models, feature stores) and collaboration with data science/ML engineering., • Practical exposure to AI frameworks/platforms, • Understanding of responsible AI practices, • Experience effecitively using AI tools to accelerate development (ClaudeCode, CodeX, Windsurf, Copilot) Expected Scope of Role • Consult with Product, Sales, Trading, and Operations to design and develop backend and frontend features for FX Trading applications, including AI‑augmented workflows (e.g., smart recommendations, event classification, intelligent automation)., • Program well‑designed, testable, efficient code across the stack (Java/Spring Boot, Angular/TypeScript)., • Analyze, design, and develop robust test suites and test‑automation (unit, integration, contract, API/UI, performance). For AI components, define evaluation metrics and create automated checks for model output quality and drift., • Reduce technical debt in backend services and shared libraries; improve modularity, observability, and operability., • Participate in code reviews; uphold secure coding practices and performance optimization for low‑latency, high‑throughput use cases., • Integrate software components into a cohesive, production‑ready system; design clear API contracts and backward‑compatible changes., • Troubleshoot, debug, and upgrade existing systems; instrument features for metrics, logs, and traces to enable rapid issue isolation., • Participate in deployment processes following all change controls; champion “production‑ready commits” via CI/CD gates, feature flags, and safe rollout/rollback strategies., • Provide recommendations for continuous improvement in architecture, developer experience, testing strategy, and release practices., • Collaborate with engineers and data scientists to elevate technology standards, ensure consistent best practices, and align AI features to measurable user and business outcomes.

New Contract Opportunity for an eDV Cleared Data Engineer with a leading National Security Consultancy in London. • Active Enhanced DV Clearance required, • £680 p/d inside IR35, • 12-month engagement, • Full-time on-site in Central London The Role: You will design and deliver mission-critical data services for National Security clients. Working across AI, cyber security, cloud, big data and digital transformation initiatives, you will help shape the future of national security. You will build and manage robust data pipelines that convert raw, diverse data sources (batch, streaming, real-time and unstructured) into reliable, analysis-ready datasets, using distributed computing techniques to process data at scale. Responsibilities: • Design and build data ingestion pipelines and orchestration tooling., • Develop database schemas and data models., • Integrate and enrich data from multiple sources, ensuring quality and consistency., • Design and implement ETL processes (e.g. using NiFi)., • Write clean, secure, test-driven code that is reusable by default., • Maintain and enhance data ingestion and storage architectures., • Investigate and resolve data issues within operational environments., • Translate user needs into clear technical requirements, supporting backlog refinement into epics and stories., • Implement appropriate data security controls., • Monitor, maintain and optimise data platforms to ensure performance and reliability. Skills and Experience Required: • ETL development using Python or similar languages, • Apache Spark, NiFi, or Kafka, • Relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra) databases, • AWS and cloud-based data services, • Palantir Foundry, • Stakeholder Engagement Why Apply? • Work on mission-critical UK Government projects with real-world impact, • Join a leading consultancy known for innovation and technical excellence, • Long-term engagement with competitive day rate and secure on-site environment

Junior AI Product Engineer – Market Research London/Hybrid £55,000 to £65,000 + bens An amazing opportunity for a qualitative or mixed methods market researcher with a passion for all things AI and product development to pivot their career into product engineering. Our client is a tech-enabled research company, delivering deep insight at the speed of software, so represent the future of the industry and are the shape of things to come. They are leading the way in the use of AI to sharpen up what clients use to gain a deeper consumer understanding or public opinion so are well placed to grow and thrive. They deliver impactful work to leading organisations, brand owners, campaign groups and non for profits. They already have a super talented team of engineers, data scientists and researchers in place and are growing fast. This newly created role will be embedded in the product and engineering team, working directly on features and iterating on the AI system, bringing qualitative domain expertise into how the product is built and improved. We seek a a high-performing Senior Research Executive or a low-to-mid level Research Manager, with experience from a survey-based market research agency, who's starting to feel the pull away from pure research and towards building things. You don't need to write code, but you should be genuinely hands-on with AI in your day-to-day and curious about how systems get built. Any experience of vibe coding would be an advantage. Key for your application will be to be able to demonstrate evidence of having built something (tools, automations, workflows) in a previous role or in your personal life. Culturally, this company requires self-directed individuals, who take ownership, and have momentum. Excellent communication skills essential. We are unable to offer current or onward sponsorship for this vacancy.

Fullstack Software Engineers – C#, .NET, Vue.js, JavaScript, Azure, Testing- Scotland - Award-Winning, High-Growth Tech Scale-Up Award-Winning, High-Growth Tech Scale-Up | AI-Powered SaaS | £40,000 - £60,000 + Market-Leading Benefits After 110% growth in the last 12 months, they are now investing heavily into engineering function to support their next stage of scale. These five hires will play a pivotal role in shaping the future of the platform. Your role will involve the following: 🌳 New product modules 🌳 UI modernisation initiatives 🌳 Workflow and automation improvements 🌳 Core platform scalability and resilience 🌳 High-impact customer-facing features Focus areas rotate annually, ensuring ongoing growth and variety. 💻 Tech Stack We’re seeking strong full-stack engineers who lead by example. Core stack includes: 🌳 .NET (Framework & Core) 🌳 Azure SQL + Azure Cloud 🌳 Vue.js, Vanilla JS, CSS, HTML (SPA) Bonus experience (nice to have): RabbitMQ, SignalR, broader Azure services 🌳 Azure Cognitive Search 🌳 Data pipelines (Fabric or similar) 🌳 Search technologies (Lucene, Elastic, NoSQL, MSSQL) 🌳 MS SQL views and performance optimisation 🌟 About You 🌳 A strong full-stack engineer with deep problem-solving instincts 🌳 Skilled at breaking down complexity into clear actions 🌳 Emotionally intelligent and great at aligning teams 🌳 Confident challenging assumptions and navigating ambiguity 🌳 Motivated to build elegant, scalable, future-ready solutions 🌳 Passionate about learning, improvement, and collaboration 🎁 What You’ll Get 🌳 £40,000 - £60,000 depending on experience 🌳 Remote-first working 🌳 £1,000+ personal & professional development budget 🌳 33 days holiday, rising to 40 🌳 4-week paid sabbatical after 5 years 🌳 Private healthcare, income protection, death-in-service 🌳 Matched 5% pension 🌳 Innovation Weeks (twice annually) 🌳 20 hours paid volunteering time 🌳 Monthly social time - hikes, BBQs, games nights, workshops 🌳 A supportive, ambitious, inclusive engineering culture 🌍 Working Model Remote-first across the UK 🌳 Collaboration days in Office 🌳 Flexible hours around a 37.5-hour week 🌳 No mandated office days — trust, autonomy, and delivery matter most 🚀 Urgent Hiring - Immediate Interviews Booked These five roles are high priority, with interview slots already reserved for strong candidates. 📌 Please ensure your CV clearly showcases: • technical leadership, • full-stack engineering experience, • relevant architectural or delivery ownership 🌳 Areti Group – Carbon Positive Tech Recruitment 🌳🌳🌳 People & Planet Before Profit. Building teams that leave the world better than we found it.

🌳🌳🌳 🚀 Development Team Lead/Tech Leads (x5 roles) – C#, .NET, Azure, Testing, Remote - Scotland - Award-Winning, High-Growth Tech Scale-Up Award-Winning, High-Growth Tech Scale-Up | AI-Powered SaaS | £67,000–£80,000 + Market-Leading Benefits Areti Group – Carbon Positive Tech Recruitment | People & Planet Before Profit 🌳 About the Opportunity We are hiring five exceptional Development Team Leads / Tech Leads for one of the UK’s fastest-scaling, best-funded, and most forward-thinking software scale-ups. This company builds an advanced AI-powered platform used by some of the world’s most recognised organisations - powering smarter decisions, better performance, and next-generation digital transformation. They combine: 🌳 Real-time financial and operational insight 🌳 Intelligent optimisation through AI 🌳 Deep, strategic visibility across teams and projects 🌳 A human-first, high-usability engineering philosophy After 110% growth in the last 12 months, they are now investing heavily into engineering leadership to support their next stage of scale. These five hires will play a pivotal role in shaping the future of the platform. If you want to lead talented engineers, build meaningful technology, and be part of a company with serious momentum - this is the opportunity. ⭐ The Role: Development Team Lead / Tech Lead (x5) 🌳 We’re looking for five inspiring technical leaders to guide cross-functional engineering teams across multiple product areas. This is a hands-on leadership role, combining: • technical decision-making, • architectural influence, • people coaching, • delivery leadership, • and impactful ownership of high-value product areas Your team may focus on: 🌳 New product modules 🌳 UI modernisation initiatives 🌳 Workflow and automation improvements 🌳 Core platform scalability and resilience 🌳 High-impact customer-facing features Focus areas rotate annually, ensuring ongoing growth and variety. What You’ll Do 🌳 Lead and develop a team of 2–6 engineers, running 1:1s and supporting growth 🌳 Influence architecture, design patterns, and tech decisions across the platform 🌳 Partner with product managers to shape priorities and delivery outcomes 🌳 Guide teams in designing, building, testing, and shipping new features 🌳 Own the full lifecycle from concept → architecture → code → release 🌳 Play a key role in hiring the next generation of engineering talent 🌳 Foster a culture of learning, collaboration, and engineering excellence 🌳 Remain technically hands-on, especially while teams scale 💻 Tech Stack We’re seeking strong full-stack engineers who lead by example. Core stack includes: 🌳 .NET (Framework & Core) 🌳 Azure SQL + Azure Cloud 🌳 Vue.js, Vanilla JS, CSS, HTML (SPA) 🌳 Bonus: RabbitMQ, SignalR, broader Azure services Experience with large-scale, complex systems is a major advantage. 🌟 About You Leadership titles aren’t essential - but leadership behaviour is. You’ll thrive if you are: 🌳 A strong full-stack engineer with deep problem-solving instincts 🌳 Comfortable leading technical direction and coaching others 🌳 Skilled at breaking down complexity into clear actions 🌳 Emotionally intelligent and great at aligning teams 🌳 Confident challenging assumptions and navigating ambiguity 🌳 Motivated to build elegant, scalable, future-ready solutions 🌳 Passionate about learning, improvement, and collaboration 🎁 What You’ll Get 🌳 £67,000–£85,000 depending on experience 🌳 Remote-first working 🌳 £1,000+ personal & professional development budget 🌳 33 days holiday, rising to 40 🌳 4-week paid sabbatical after 5 years 🌳 Private healthcare, income protection, death-in-service 🌳 Matched 5% pension 🌳 Innovation Weeks (twice annually) 🌳 20 hours paid volunteering time 🌳 Monthly social time - hikes, BBQs, games nights, workshops 🌳 A supportive, ambitious, inclusive engineering culture 🌍 Working Model Remote-first across the UK 🌳 Collaboration days in Scotland 🌳 Flexible hours around a 37.5-hour week 🌳 No mandated office days — trust, autonomy, and delivery matter most 🚀 Urgent Hiring - Immediate Interviews Booked These five roles are high priority, with interview slots already reserved for strong candidates. 📌 Please ensure your CV clearly showcases: • technical leadership, • full-stack engineering experience, • relevant architectural or delivery ownership 🌳 Areti Group – Carbon Positive Tech Recruitment 🌳🌳🌳 People & Planet Before Profit. Building teams that leave the world better than we found it.

🌳🌳🌳 🚀 – Software Engineers – C#, .NET, Vue.js, JavaScript, Azure, Testing- Leeds/Newcastle/ Scotland - Award-Winning, High-Growth Tech Scale-Up Award-Winning, High-Growth Tech Scale-Up | AI-Powered SaaS | £39,000 - £48,000 + Market-Leading Benefits After 110% growth in the last 12 months, they are now investing heavily into engineering function to support their next stage of scale. These five hires will play a pivotal role in shaping the future of the platform. Your role will involve the following: 🌳 New product modules 🌳 UI modernisation initiatives 🌳 Workflow and automation improvements 🌳 Core platform scalability and resilience 🌳 High-impact customer-facing features Focus areas rotate annually, ensuring ongoing growth and variety. 💻 Tech Stack We’re seeking strong full-stack engineers who lead by example. Core stack includes: 🌳 .NET (Framework & Core) 🌳 Azure SQL + Azure Cloud 🌳 Vue.js, Vanilla JS, CSS, HTML (SPA) 🌳 Bonus: RabbitMQ, SignalR, broader Azure services Experience with large-scale, complex systems is a major advantage. 🌟 About You 🌳 A strong full-stack engineer with deep problem-solving instincts 🌳 Skilled at breaking down complexity into clear actions 🌳 Emotionally intelligent and great at aligning teams 🌳 Confident challenging assumptions and navigating ambiguity 🌳 Motivated to build elegant, scalable, future-ready solutions 🌳 Passionate about learning, improvement, and collaboration 🎁 What You’ll Get 🌳 £39,000 - £48,000 depending on experience 🌳 Remote-first working 🌳 £1,000+ personal & professional development budget 🌳 33 days holiday, rising to 40 🌳 4-week paid sabbatical after 5 years 🌳 Private healthcare, income protection, death-in-service 🌳 Matched 5% pension 🌳 Innovation Weeks (twice annually) 🌳 20 hours paid volunteering time 🌳 Monthly social time - hikes, BBQs, games nights, workshops 🌳 A supportive, ambitious, inclusive engineering culture 🌍 Working Model Remote-first across the UK 🌳 Collaboration days in Office 🌳 Flexible hours around a 37.5-hour week 🌳 No mandated office days — trust, autonomy, and delivery matter most 🚀 Urgent Hiring - Immediate Interviews Booked These five roles are high priority, with interview slots already reserved for strong candidates. 📌 Please ensure your CV clearly showcases: • technical leadership, • full-stack engineering experience, • relevant architectural or delivery ownership 🌳 Areti Group – Carbon Positive Tech Recruitment 🌳🌳🌳 People & Planet Before Profit. Building teams that leave the world better than we found it.

🌳🌳🌳 🚀 – x 8 Software Engineers – C#, .NET, Vue.js, JavaScript, Azure, Testing- Scotland - Award-Winning, High-Growth Tech Scale-Up Award-Winning, High-Growth Tech Scale-Up | AI-Powered SaaS | £39,000 - £50,000 + Market-Leading Benefits After 110% growth in the last 12 months, they are now investing heavily into engineering function to support their next stage of scale. These five hires will play a pivotal role in shaping the future of the platform. Your role will involve the following: 🌳 New product modules 🌳 UI modernisation initiatives 🌳 Workflow and automation improvements 🌳 Core platform scalability and resilience 🌳 High-impact customer-facing features Focus areas rotate annually, ensuring ongoing growth and variety. 💻 Tech Stack We’re seeking strong full-stack engineers who lead by example. Core stack includes: 🌳 .NET (Framework & Core) 🌳 Azure SQL + Azure Cloud 🌳 Vue.js, Vanilla JS, CSS, HTML (SPA) 🌳 Bonus: RabbitMQ, SignalR, broader Azure services Experience with large-scale, complex systems is a major advantage. 🌟 About You 🌳 A strong full-stack engineer with deep problem-solving instincts 🌳 Skilled at breaking down complexity into clear actions 🌳 Emotionally intelligent and great at aligning teams 🌳 Confident challenging assumptions and navigating ambiguity 🌳 Motivated to build elegant, scalable, future-ready solutions 🌳 Passionate about learning, improvement, and collaboration 🎁 What You’ll Get 🌳 £39,000 - £50,000 depending on experience 🌳 Remote-first working 🌳 £1,000+ personal & professional development budget 🌳 33 days holiday, rising to 40 🌳 4-week paid sabbatical after 5 years 🌳 Private healthcare, income protection, death-in-service 🌳 Matched 5% pension 🌳 Innovation Weeks (twice annually) 🌳 20 hours paid volunteering time 🌳 Monthly social time - hikes, BBQs, games nights, workshops 🌳 A supportive, ambitious, inclusive engineering culture 🌍 Working Model Remote-first across the UK 🌳 Collaboration days in Office 🌳 Flexible hours around a 37.5-hour week 🌳 No mandated office days — trust, autonomy, and delivery matter most 🚀 Urgent Hiring - Immediate Interviews Booked These five roles are high priority, with interview slots already reserved for strong candidates. 📌 Please ensure your CV clearly showcases: • technical leadership, • full-stack engineering experience, • relevant architectural or delivery ownership 🌳 Areti Group – Carbon Positive Tech Recruitment 🌳🌳🌳 People & Planet Before Profit. Building teams that leave the world better than we found it.

🌳🌳🌳 🚀 Senior Software Engineer - Team Lead Experience (x5 roles) – C#, .NET, Azure, Testing, Remote - Scotland - Award-Winning, High-Growth Tech Scale-Up Award-Winning, High-Growth Tech Scale-Up | AI-Powered SaaS | £67,000–£80,000 + Market-Leading Benefits Areti Group – Carbon Positive Tech Recruitment | People & Planet Before Profit 🌳 About the Opportunity We are hiring five exceptional Senior Software Engineers/Development Team Leads / Tech Leads for one of the UK’s fastest-scaling, best-funded, and most forward-thinking software scale-ups. This company builds an advanced AI-powered platform used by some of the world’s most recognised organisations - powering smarter decisions, better performance, and next-generation digital transformation. They combine: 🌳 Real-time financial and operational insight 🌳 Intelligent optimisation through AI 🌳 Deep, strategic visibility across teams and projects 🌳 A human-first, high-usability engineering philosophy After 110% growth in the last 12 months, they are now investing heavily into engineering leadership to support their next stage of scale. These five hires will play a pivotal role in shaping the future of the platform. If you want to lead talented engineers, build meaningful technology, and be part of a company with serious momentum - this is the opportunity. ⭐ The Role: Senior Software Engineers/Development Team Lead / Tech Lead (x5) 🌳 We’re looking for five inspiring technical leaders to guide cross-functional engineering teams across multiple product areas. This is a hands-on leadership role, combining: • technical decision-making, • architectural influence, • people coaching, • delivery leadership, • and impactful ownership of high-value product areas Your team may focus on: 🌳 New product modules 🌳 UI modernisation initiatives 🌳 Workflow and automation improvements 🌳 Core platform scalability and resilience 🌳 High-impact customer-facing features Focus areas rotate annually, ensuring ongoing growth and variety. What You’ll Do 🌳 HANDS ON Senior Software Engineer/Tech Lead and develop a team of 2–6 engineers, running 1:1s and supporting growth 🌳 Influence architecture, design patterns, and tech decisions across the platform 🌳 Partner with product managers to shape priorities and delivery outcomes 🌳 Guide teams in designing, building, testing, and shipping new features 🌳 Own the full lifecycle from concept → architecture → code → release 🌳 Play a key role in hiring the next generation of engineering talent 🌳 Foster a culture of learning, collaboration, and engineering excellence 🌳 Remain technically hands-on, especially while teams scale 💻 Tech Stack We’re seeking strong full-stack engineers who lead by example. Core stack includes: 🌳 .NET (Framework & Core) 🌳 Azure SQL + Azure Cloud 🌳 Vue.js, Vanilla JS, CSS, HTML (SPA) 🌳 Bonus: RabbitMQ, SignalR, broader Azure services Experience with large-scale, complex systems is a major advantage. 🌟 About You Leadership titles aren’t essential - but leadership behaviour is. You’ll thrive if you are: 🌳 A strong full-stack engineer with deep problem-solving instincts 🌳 Comfortable leading technical direction and coaching others 🌳 Skilled at breaking down complexity into clear actions 🌳 Emotionally intelligent and great at aligning teams 🌳 Confident challenging assumptions and navigating ambiguity 🌳 Motivated to build elegant, scalable, future-ready solutions 🌳 Passionate about learning, improvement, and collaboration 🎁 What You’ll Get 🌳 £67,000–£85,000 depending on experience 🌳 Remote-first working 🌳 £1,000+ personal & professional development budget 🌳 33 days holiday, rising to 40 🌳 4-week paid sabbatical after 5 years 🌳 Private healthcare, income protection, death-in-service 🌳 Matched 5% pension 🌳 Innovation Weeks (twice annually) 🌳 20 hours paid volunteering time 🌳 Monthly social time - hikes, BBQs, games nights, workshops 🌳 A supportive, ambitious, inclusive engineering culture 🌍 Working Model Remote-first across the UK 🌳 Collaboration days in Office twice per month 🌳 Flexible hours around a 37.5-hour week 🌳 No mandated office days — trust, autonomy, and delivery matter most 🚀 Urgent Hiring - Immediate Interviews Booked These five roles are high priority, with interview slots already reserved for strong candidates. 📌 Please ensure your CV clearly showcases: • technical leadership, • full-stack engineering experience, • relevant architectural or delivery ownership 🌳 Areti Group – Carbon Positive Tech Recruitment 🌳🌳🌳 People & Planet Before Profit. Building teams that leave the world better than we found it.

About the Job you are considering: We are seeking a Data Engineer with strong proficiency in Python and Scala to support predictive modeling, statistical analysis, and data‑driven product initiatives. This role focuses on preparing high‑quality datasets, enabling machine‑learning workflows, and building scalable pipelines using modern data‑engineering tools. You will work closely with engineering, product, and business teams to deliver reliable, production‑ready data solutions across cloud environments. Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time. Your Role: • Perform data cleaning, transformation, and feature engineering to support ML and analytics use cases., • Build and optimize data pipelines and automated workflows using Python, Scala, PySpark, and relevant ML libraries., • Develop and maintain scalable data‑processing systems for both batch and real‑time workloads., • Support model development by collaborating with data scientists and translating requirements into engineering solutions., • Partner with cross‑functional teams to deliver insights and ensure seamless data availability for decision‑making. Your Skills • Strong expertise in Python and Scala, with hands‑on experience in Pandas, NumPy, Scikit‑learn, PySpark, and MLlib., • Solid SQL skills and experience working with large‑scale, big‑data frameworks (e.g., Spark, Hadoop)., • Familiarity with major cloud platforms such as Azure, AWS, or GCP., • Ability to build scalable pipelines, automate workflows, and optimize data‑engineering processes., • Excellent analytical and problem‑solving skills, with the ability to interpret and communicate complex findings clearly. We are a Disability Confident Employer: Capgemini is proud to be a ___under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who: • Declare they have a disability, and Make It Real (what does it mean for you): • You’d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions., • To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy., • You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more., • You will be joining one of the World’s Most Ethical Companies®, as recognised by Ethisphere® for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of. Why you should consider Capgemini: Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is. About Capgemini: Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion. Make it real | ___

AI Startup in London – Hiring Junior-Mid Level Full-Stack Engineers (Senior) – 5 days a week on-site – up to £110k I am working with a rapidly growing AI startup based in London, building next-generation products that transform how businesses use technology. They are looking for highly talented engineers who are ambitious, driven, and eager to make an impact. Roles Available: 🔹 Full-Stack Engineer – Strong expertise in TypeScript, React, Python and Golang. They can consider someone who its more frontend, or backend leaning, but the expectations is to work across the stack and pick up languages that you are not familiar with. What We’re Looking For: ✔️ A degree from a top university in Computer Science, Engineering, or a related field ✔️ Demonstrated ambition and drive, reflected in career achievements and working history ✔️ Ability to thrive in a fast-paced, collaborative startup environment ✔️ Commitment to on-site work in London, 5 days a week If you are passionate about building cutting-edge products and want to work alongside ambitious colleagues in central London, please apply. AI Startup in London – Hiring Junior-Mid Level Full-Stack Engineers (Senior) – 5 days a week on-site – up to £110k

DevOps Engineer - Kubernetes - Fully Remote Our client is a leading tech consultancy and software development firm. Offering fully remote working, working on a range of egaming, trading and payments projects they’re looking to hire a DevOps Engineer with excellent knowledge of Kubernetes. and, ideally, some MLOps skills. You’ll work in their Data Platforms team and be key in the design, building and support of Machine Learning platforms to deliver the power and scale of AI capabilities. Work will include the design and deployment of high quality, scalable platforms for running production Machine Learning software, helping define the overall strategy and roadmap for ML and AI and supporting platform deployments and CI/CD tools and processes. You’ll need a positive, growth, mindset, great experience of ML frameworks and software delivery and good knowledge of DevOps, MLOps and Security. Requirements: • Good knowledge of Cloud - AWS, Azure, GCP, OpenStack etc, • Strong DevOps experience, esp with Kubernetes, • MLOps exp would be ideal, • Coding / scripting skills, • Good, overall, understanding of software development, modern tech and frameworks, • Solid Linux knowledge can't hurt!

🌳X3 Hands On Software Engineering Managers/Tech leads – C#/.NET/AZURE - Data & Performance🌳 This is a hands-on technical leadership role with a strong focus on data architecture, application performance, and platform scalability. You’ll lead a small senior engineering team, combining technical delivery with people leadership (around 75% technical / 25% line management). Your focus will be on enabling the platform to scale intelligently — supporting reporting, APIs, AI/LLM usage, and real-time customer insight. 🔧 What You’ll Do 🌳 Lead and support a newly forming team focused on data architecture and application optimisation 🌳 Drive structural change within a large, established codebase to support scale 🌳 Influence architecture, design, and technology decisions across the platform 🌳 Partner closely with Product, Engineering Managers, and SRE leadership 🌳 Translate strategic scaling goals into clear, deliverable roadmap initiatives 🌳 Contribute to engineering-wide OKRs and technical direction 🌳 Champion a culture of learning, collaboration, and thoughtful technical challenge 🌳 Remain technically hands-on, solving complex backend and data-driven problems 💻 Tech Stack Strong backend experience is essential. Core technologies include: 🌳 C# / .NET (Framework & .NET Core) 🌳 Azure SQL Server 🌳 Azure Cloud Platform Bonus experience (nice to have): 🌳 Azure Cognitive Search 🌳 Data pipelines (Fabric or similar) 🌳 Search technologies (Lucene, Elastic, NoSQL, MSSQL) 🌳 MS SQL views and performance optimisation 🌟 About You You don’t need the job title — but you do need the leadership mindset. You’ll thrive here if you are: 🌳 A strong backend engineer with deep .NET and Azure experience 🌳 Comfortable leading technical change in mature, complex systems 🌳 Skilled at breaking down big, ambiguous problems into clear actions 🌳 Emotionally intelligent and collaborative across teams 🌳 Confident challenging decisions — kindly and constructively 🌳 Motivated by learning, improvement, and meaningful impact 🌳 An excellent communicator who helps align people and priorities 🎁 What You’ll Get 🌳 Up to £90,000 🌳 £1,000+ annual learning & development budget 🌳 33 days holiday (rising to 40) 🌳 4-week paid sabbatical after 5 years 🌳 Private medical, dental & vision cover 🌳 Income protection & death-in-service 🌳 Matched 5% pension 🌳 20 hours paid volunteering time 🌳 Regular team socials & All-Hands events 🌳 A genuinely kind, ambitious, inclusive engineering culture 🌍 Working Model 🌳 Remote role – Scotland/Manchester/Leeds

🌳Hands On Software Engineering Managers/Tech leads – C#/.NET/AZURE - Data & Performance🌳 This is a hands-on technical leadership role with a strong focus on data architecture, application performance, and platform scalability. You’ll lead a small senior engineering team, combining technical delivery with people leadership (around 75% technical / 25% line management). Your focus will be on enabling the platform to scale intelligently — supporting reporting, APIs, AI/LLM usage, and real-time customer insight. 🔧 What You’ll Do 🌳 Lead and support a newly forming team focused on data architecture and application optimisation 🌳 Drive structural change within a large, established codebase to support scale 🌳 Influence architecture, design, and technology decisions across the platform 🌳 Partner closely with Product, Engineering Managers, and SRE leadership 🌳 Translate strategic scaling goals into clear, deliverable roadmap initiatives 🌳 Contribute to engineering-wide OKRs and technical direction 🌳 Champion a culture of learning, collaboration, and thoughtful technical challenge 🌳 Remain technically hands-on, solving complex backend and data-driven problems 💻 Tech Stack Strong backend experience is essential. Core technologies include: 🌳 C# / .NET (Framework & .NET Core) 🌳 Azure SQL Server 🌳 Azure Cloud Platform Bonus experience (nice to have): 🌳 Azure Cognitive Search 🌳 Data pipelines (Fabric or similar) 🌳 Search technologies (Lucene, Elastic, NoSQL, MSSQL) 🌳 MS SQL views and performance optimisation 🌟 About You You don’t need the job title — but you do need the leadership mindset. You’ll thrive here if you are: 🌳 A strong backend engineer with deep .NET and Azure experience 🌳 Comfortable leading technical change in mature, complex systems 🌳 Skilled at breaking down big, ambiguous problems into clear actions 🌳 Emotionally intelligent and collaborative across teams 🌳 Confident challenging decisions — kindly and constructively 🌳 Motivated by learning, improvement, and meaningful impact 🌳 An excellent communicator who helps align people and priorities 🎁 What You’ll Get 🌳 Up to £90,000 🌳 £1,000+ annual learning & development budget 🌳 33 days holiday (rising to 40) 🌳 4-week paid sabbatical after 5 years 🌳 Private medical, dental & vision cover 🌳 Income protection & death-in-service 🌳 Matched 5% pension 🌳 20 hours paid volunteering time 🌳 Regular team socials & All-Hands events 🌳 A genuinely kind, ambitious, inclusive engineering culture 🌍 Working Model 🌳 Remote role – Scotland

A global technology services and education business, Sparta Global specialises in building Technology, Data and AI capability for organisations across the public and private sectors. Through our award-winning Technology and AI institute, we develop AI-native digital professionals ready to excel in tech-driven environments and provide specialist training that enables organisations to build sustainable in-house capability. With more than a decade of cross-industry experience, Sparta Global combines credible business and technology training with flexible, cost-effective consultant delivery to help clients boost workforce capability, reduce hiring risk, and strengthen long-term talent pipelines. Summary: As a Quality Engineer focusing on manual testing, a typical day involves ensuring the quality of solutions by thoroughly executing manual tests aligned with defined requirements, user stories, and expected behaviors. This role includes designing detailed test cases, meticulously identifying and documenting any defects, and working closely with delivery teams to support the release of reliable and user-ready products. The position demands continuous attention to detail and collaboration to maintain high standards throughout the development lifecycle. Roles & Responsibilities: • Expected to be an SME, collaborate and manage the team to perform., • Responsible for team decisions., • Engage with multiple teams and contribute on key decisions., • Provide solutions to problems for their immediate team and across multiple teams., • Lead efforts to improve testing processes and methodologies within the team., • Mentor junior team members to enhance their testing skills and knowledge., • Coordinate with cross-functional teams to ensure alignment on quality objectives. Professional & Technical Skills: • Must To Have Skills: Proficiency in Functional Test Planning., • Strong analytical skills to design comprehensive test cases and identify defects effectively., • Experience in documenting test results and defect tracking with clarity and precision., • Ability to collaborate effectively with delivery teams to ensure smooth release cycles., • Familiarity with various testing techniques and methodologies to enhance test coverage., • Excellent communication skills to articulate testing outcomes and quality concerns. Additional Information: • The candidate should have minimum 5 years of experience in Functional Test Planning., • This position is based at our Chennai office., • A 15 years full time education is required.

Job title: FPGA/Firmware Engineer Location: Available within Somerset, Manchester or London on a hybrid basis. Scope The FPGA Engineer will contribute to the development, recovery, and certification support of FPGA-based designs for aerospace platforms, with a strong focus on legacy systems and board bring-up activities. The scope includes reverse engineering existing FPGA implementations, developing firmware from hardware requirements, and supporting integration of FPGA designs onto new or existing boards. About the role As an FPGA Engineer, you will work on the development and support of FPGA designs for legacy and new aerospace hardware. This includes reverse engineering existing designs where documentation may be limited, defining firmware requirements from hardware inputs, and implementing solutions using VHDL on Xilinx or Microchip devices. Responsibilities • Lead FPGA development for legacy aerospace designs, including reverse engineering, and board bring‑up activities., • Develop firmware requirements from hardware requirements., • Work closely with hardware teams, supporting early‑phase board design and integration., • Ensure designs and deliverables comply with DO‑254 aligned processes., • Support generation of design/certification documentation (PHAC), verification strategy, and accreditation discussions (SOI) for low‑complexity designs. Required experience • Strong FPGA experience using VHDL, including Xilinx or Microchip devices., • Proven experience working from limited or legacy design information., • Experience working in regulated aerospace or defence environments (DAL‑D)., • Awareness of DO-254 or similar hardware certification standards is an advantage. About us Akkodis is a global leader in engineering, technology, and R&D, harnessing the power of connected data to drive digital transformation and innovation for a smarter, more sustainable future. As part of the Adecco Group, Akkodis employs over 50,000 engineers and digital specialists across 30 countries in North America, EMEA, and APAC. Our teams bring extensive cross-sector knowledge in critical technology areas such as mobility, software services, robotics, simulations, cybersecurity, AI, and data analytics, enabling clients to tackle complex challenges in today’s rapidly evolving markets. With a comprehensive solution portfolio across four service lines—Consulting, Solutions, Talents, and Academy—Akkodis supports clients from concept through to full-scale deployment and optimisation. Our diverse offerings help organisations rethink product development, accelerate productivity, reduce time-to-market, and prepare for the future. At Akkodis, you’ll join a dynamic environment that values continuous learning and global collaboration, where you can make a meaningful impact through innovative projects that shape the future of technology.

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

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!

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

We’re looking for a Machine Learning Research Engineer to join an early-stage quantum computing start-up developing full-stack photonic quantum systems. This role sits at the intersection of advanced ML research and applied engineering, focusing on generative algorithms and hybrid quantum-classical models. You’ll work closely with clients and partners to show how ML and quantum technologies can solve real-world challenges. Responsibilities: • Design, implement, and evaluate new machine learning algorithms, particularly generative models (GANs, flow models, diffusion models) and hybrid quantum-classical neural networks., • Partner with clients to translate practical problems onto the company’s quantum hardware and deliver solutions that demonstrate value., • Expand and improve the company’s software platform with new algorithms, example applications, and research-driven features., • Support scientific innovation by publishing findings and helping safeguard intellectual property. Required Skills & Experience: • Proven experience building and testing machine learning algorithms., • Hands-on experience with GANs, diffusion models, or flow-based generative models., • Strong programming skills in Python, PyTorch, and version control (Git)., • Advanced degree (Master’s or PhD) in Computer Science, Physics, or a related technical field. Preferred Skills: • Experience working with specialized computing hardware (HPC, NPUs, ASICs, or quantum processors)., • Multi-GPU training experience., • Publication record in ML or AI research., • Comfortable presenting and collaborating with clients or stakeholders., • Familiarity with quantum computing principles. Why Join: This role offers the chance to work on cutting-edge ML research applied to quantum hardware, delivering impactful solutions that move from concept to real-world implementation. The position provides hybrid flexibility in London and direct exposure to pioneering quantum technology.

Playrix — одна из самых успешных компаний по разработке мобильных игр в мире. По доходам среди всех мобильных приложений мы входим в топ-3 в мире, а в Европе мы первые. Наши игры установили 2,3 миллиарда раз (треть населения Земли), каждый день в них играет более 30 миллионов людей по всему миру! У нас большие планы на развитие и рост наших проектов, именно поэтому мы ищем сильнейших экспертов в наши команды разработки. Если ты работаешь с Unity, но хотел бы попробовать свои силы в С++, мы готовы тебе помочь. Команды разработки для нас - ядро компании, благодаря которому наши игры растут и развиваются уже 21 год. Lead Software Engineer – драйвер технического развития продукта, который ведет и развивает команду с точки зрения архитектуры, качества, культуры разработки и инженерных практик. В каждом проекте у нас есть основные направления: • Фичевое: разработка событий и мини-игр с нуля (от различных соревнований до мини-игр типа Merge);, • Техническое: оптимизация, поддержка технической стабильности, SDK (сокращение скорости загрузки, потребление памяти и др.);, • Match-3 и мета: работа с графикой и основной механикой игры (добавление нового функционала, рефакторинг и оптимизация). Задачи, которые предстоит решать: • People management: ответственность за развитие, найм/увольнение, оценку команды;, • Развитие процессов внутри команд (как на уровне команды, так и на уровне всей разработки на проекте);, • Продюсирование: решение сложных технических проблем на проектах, разработка архитектуры решения и обеспечение быстрой реализации;, • Контроль стабильности и качества программной части игры;, • Code review и design review;, • Программирование и рефакторинг игровой логики. Наш стек: • Языки: С++, для единичных задач Lua и Python;, • Графика: OpenGL ES и Metal;, • Собственный движок, похожий на Unity или Unreal, который мы постоянно развиваем (___);, • Продвинутый CI/CD, автоматическое тестирование, процессы code review и многое другое;, • AI-ассистенты: используем Cursor для автоматизации и ускорения разработки (от рутинных задач до планирования и декомпозиции). Мы ожидаем: • Опыт разработки коммерческих проектов на С++ и/или Unity не менее 3 лет,, • Опыт разработки проектов, выпущенных в production;, • Опыт управления командой программистов (3+ человек) не менее года. Будет плюсом: • Уверенное владение современными стандартами С++ 14/17, а также STL;, • Опыт работы с популярными игровыми движками (Unity, Unreal, Godot, Cocos2D, Defold и т.д.);, • Опыт работы с AI-помощниками для разработки (Cursor, Copilot и др.);, • Опыт разработки мобильных казуальных игр. У нас классно, потому что у нас есть: • Открытая коммуникация и прозрачность в принятии решений, обмен опытом внутри команд., • Фокус на качестве и надежности кода., • Упор на развитие продуктового видения у каждого специалиста в компании. Наши разработчики представляют, как та или иная фича будет работать у пользователя, и сами играют в игры, которые разрабатывают., • Возможность менять процессы и подходы на более эффективные без долгих согласований и бюрократии., • Понятные возможности развития в технического директора, программинг менеджера или проджект менеджера., • Мы активно используем Cursor и другие AI-инструменты в процессе разработки — у тебя будет возможность работать на переднем крае технологий, делиться опытом и формировать лучшие практики их применения. Мы предлагаем: Гибкость в работе: Для большинства позиций у нас гибкий график и удалённый формат работы. Мы ориентируемся на результат, а не на место или способ выполнения задач. Забота о здоровье и well-being: • Предоставляем ДМС для сотрудников и их детей, компенсируем онлайн-сессии с психологом., • Сохраняем 100% зарплату во время отпуска или больничного без лишних справок. А для особых случаев предоставляем дополнительные выходные., • Оплачиваем участие в профильных конференциях и курсах, проводим внутренние конференции., • Регулярно проводим развлекательные и рабочие мероприятия в офлайн-режиме: встречи команд, крупные корпоративные вечеринки и более лайтовые пати в офисах., • Также регулярно проводим развлекательные конкурсы, квизы, хакатоны, спортивные челленджи в режиме онлайн., • Собственный магазин мерча с внутренней валютой, где можно купить уникальные подарки. Валюту дарим на значимые даты, также ее можно заработать, участвуя в мероприятиях и брендовых активностях. Отправляя отклик на нашу вакансию, вы соглашаетесь, что ваши персональные данные, собранные во время собеседований в Playrix, будут обрабатываться в соответствии с условиями (___). Вы можете отправить запрос в отношении ваших персональных данных по адресу: .

This is a unique opportunity to work on cutting-edge AI technologies and contribute to transformative projects across multiple domains. Were looking for a talented and forward-thinkingAI Engineerto join our innovative team.

Study key data methodologies: AI Fundamentals, Python, Working with AI Models, AI Engineering for Developers, Developing AI Applications all alongside real-world project work to harness the power and understanding of these technologies. Are you ready to start a new career in AI Engineering?.

Backend Python Engineer, AI & Data. They are now looking for a Middleweight Python Engineer to join their growing engineering team. A sharp, adaptable backend developer with commercial Python, Node.

Study key data methodologies: AI Fundamentals, Python, Working with AI Models, AI Engineering for Developers, Developing AI Applications all alongside real-world project work to harness the power and understanding of these technologies. Study and take your three AI and data certifications: Azure AI

Founding Engineer / Tech Lead £100k Equity | Remote Flexibility Typescript | Azure | Python | LLM | Terraform The Company We're working with an early-stage technology company bringing digital transformation to traditionally manual supply chain and product data processes. They are looking for an experienced engineer who can balance hands-on engineering with technical strategy as the business moves through its next phase of growth. This role suits someone who enjoys operating in a small but growing team, is motivated by building solutions, solving complex problems, and is comfortable rolling up their sleeves to deliver. The environment is fast-paced, where priorities can evolve quickly and ambiguity is often part of the journey. The successful candidate will be excited by the autonomy of an early-stage environment and the opportunity to shape the technical direction of a high-potential B2B SaaS platform. Longer term, the role offers the chance to build, manage, and lead a growing engineering team. The position requires someone who can balance product innovation with longer-term technical stability and scalability Typescript | Azure | Python | LLM | Terraform Key Technical Experience Strong experience in most of the following areas: Azure (or deep experience with AWS / GCP and willingness to work with Azure) System architecture and scalable system design Event-driven architecture Full-stack development using: Next.js Nest.js Python PostgreSQL Terraform LLM-powered product workflows AI-assisted / LLM-enabled software development practices Docker and containerisation Web application security CI/CD pipelines Observability and APM Clean architecture principles Integration with third-party systems and APIs Responsibilities The role will involve a mix of hands-on engineering, technical leadership, and strategic input. You should be comfortable with: Requirements analysis and solution design Contributing to product roadmap planning and delivery management Delivering solutions for complex technical workflows Data migration planning and execution Designing and deploying complex product features Working directly with customers to troubleshoot issues and gather feedback Contributing to UI and UX thinking alongside product stakeholders Presenting technical concepts to internal teams and customers Participating in key stakeholder discussions and strategic planning The role is primarily remote, with occasional travel across the UK for customer meetings, events, and team collaboration (all expensed). TPBN1_UKTJ

Overview We are looking for a Senior Data Platform Engineer who thrives on execution and delivery. This role is ideal for a hands-on, high-performing engineer who is passionate about building scalable data platforms and enabling other engineers across the organisation. You will play a key role in developing and evolving our data platform infrastructure, empowering Data Engineers to build and operate reliable data products efficiently. The ideal candidate combines strong database expertise, Snowflake experience, and Infrastructure as Code (Terraform) with a passion for platform engineering. As our platform evolves, we are also investing heavily in Agentic AI systems. Engineers in this team will increasingly act as “Team Leaders of AI Agents”, designing platforms that enable autonomous AI-driven workflows across the data ecosystem. Key Responsibilities Platform Engineering • Design, build, and maintain the data platform infrastructure used by Data Engineering teams., • Enable engineers across the organisation by creating self-service platform capabilities and automation., • Develop and maintain infrastructure using Infrastructure as Code (Terraform)., • Manage and optimise data platform architecture, with a strong focus on Snowflake and database systems., • Implement best practices for data storage, performance, governance, and security., • Act as a platform enabler for the wider Data Engineering community., • Build tools, templates, and workflows that accelerate delivery., • Contribute to the development of agentic AI-enabled data platforms., • Design systems that allow engineers to orchestrate and supervise AI agents performing data tasks., • Work toward a future where engineers act as “Team Leaders of AI Agents”, managing autonomous workflows at scale. Required Skills & Experience • Strong experience in Data Platform or Platform Engineering roles, • Expertise in Terraform / Infrastructure as Code, • Hands-on experience with Snowflake, • Strong background with databases and data infrastructure, • Proven ability to deliver and execute at a high level, • Experience enabling and supporting data engineering teams, • Strong engineering mindset with a focus on practical delivery rather than strategy Desirable Experience • Experience building internal platforms or developer platforms, • Knowledge of modern data stack architectures, • Experience with automation, CI/CD, and cloud-native environments, • Interest or experience in AI-driven automation or agentic systems What We're Looking For • High performer who enjoys building and shipping solutions, • Platform-minded engineer who enjoys enabling others, • Passionate about data infrastructure and developer experience, • Curious about the future of engineering in the age of AI agents

Lead AI Engineer Location: Flexible, Europe preferred Type: Full time Overview I am supporting a new AI venture backed by an established global technology platform in digital publishing and print infrastructure. The team is building an AI powered design editor that allows users to generate fully customised, print ready assets from natural language prompts. Unlike template based tools, this system creates original layouts, graphics, and structured outputs end to end. The Role You will operate at the intersection of backend engineering and applied AI, designing and building scalable systems that support production grade AI workflows. This is a hands on role with architectural ownership, focused on taking AI systems from concept through to reliable, high traffic deployment. Key Responsibilities • Design and build backend systems for AI driven content generation, • Develop and scale LLM pipelines, including orchestration and evaluation, • Build agent based workflows for structured content generation, • Architect APIs using Python, FastAPI, and Pydantic, • Ensure systems are robust, scalable, and optimised for production inference, • Collaborate with product and design teams to translate user prompts into structured outputs, • Own performance, reliability, and cost optimisation across AI services Requirements • Strong backend engineering experience with Python, • Proven experience building and deploying LLM based systems in production, • Experience with FastAPI, Pydantic, or similar frameworks, • Hands on experience with RAG, prompt engineering, or agent based systems, • Understanding of system design for high traffic, low latency environments, • Experience working across cloud platforms such as AWS or GCP, • Ability to operate as a senior individual contributor with ownership of architecture and delivery Nice to Have • Experience with generative design, graphics, or structured document generation, • Exposure to multimodal models or layout aware systems, • Background in building tools for creative or publishing workflows

Plessey has a long history of innovation. Founded in 1956, we have evolved from one of Europe’s earliest semiconductor pioneers into the world’s most advanced microLED specialist. Over the decades, Plessey has built a first class, fully integrated platform designing, manufacturing, and engineering next-generation display technologies entirely in-house. This end-to-end capability, combined with our strong IP portfolio, uniquely positions us to lead the scaling of MicroLED’s from lab innovation to high-volume production. Our future is even brighter. We believe MicroLED’s will define the next era of technology—powering ultra-efficient AR/VR displays, driving optical processors that make AI faster and more sustainable, and enabling devices yet to be imagined. With our unique expertise and talented team, we are positioned to lead this transformation. It’s an exciting time to join us: Plessey has recently been acquired by Haylo Labs, accelerating our growth and opening new opportunities. Our Values • Lead, • Grow, • Trust Location Located at our head office and state-of-the-art fabrication facility in Plymouth. About the Role We are seeking a senior Embedded Software Engineer to join the Product Development team and contribute to embedded firmware development and hardware–software integration. This is a hands-on role, working closely with the Principal Engineer and Senior Hardware Engineer to translate system architecture into reliable embedded implementations across prototypes, demos, and product platforms. Key Responsibilities • Design, implement, and maintain embedded firmware in C/C++., • Develop and maintain low-level drivers and application firmware., • Support bootloader development and firmware update functionality., • Implement firmware robustness, error handling, and recovery paths., • Support firmware bring-up on new hardware., • Debug hardware/firmware issues involving power, clocks, interfaces, and timing., • Work with schematics, PCBs, and lab equipment during development and debugging., • Support validation and test readiness of embedded systems., • Translate architectural intent into working embedded implementations., • Take ownership of defined subsystems with appropriate guidance., • Contribute to technical documentation and knowledge transfer., • Support integration with test environments and higher-level software systems. Skills, Knowledge and Expertise • Background in Electronic Engineering or similar discipline., • Experience in embedded software development (C/C++)., • Experience with microcontrollers (e.g. STM32 or similar)., • Experience with bare-metal and/or RTOS-based systems., • Comfortable reading schematics and understanding hardware design., • Experience with board bring-up and low-level debugging., • Experience using SWD/JTAG, logic analysers, and oscilloscopes., • Understanding of common interfaces (USB, SPI, I²C/I3C, UART). Advantage • USB device development experience., • Familiarity with embedded Linux or Zephyr., • Experience supporting prototype, demo, or pre-production systems.

Lead Data Platform Engineer UK Remote Salary: £80,000 - £85,000 This is an opportunity to step into a highly influential Data Platform Engineering role where you will shape, optimise and own a modern Databricks Lakehouse environment. You will play a key role in driving engineering best practice, improving automation and enabling scalable data solutions across a growing data function. The Company They are a large, well‑established organisation known for combining deep technical expertise with a people‑first culture. With a nationwide presence and a modern approach to flexible working, they invest heavily in technology, innovation and colleague development. Their data function is expanding and plays a central role in supporting transformation, decision‑making and future AI initiatives. You will join a collaborative team that values engineering excellence, autonomy and continuous improvement. The Role As Lead Data Platform Engineer, you will: • Develop and deploy Databricks Lakehouse platform solutions within Azure., • Build and maintain automation for clusters, tagging, monitoring and platform operations., • Architect and design end‑to‑end data platform solutions focused on scalability, security and reliability., • Lead delivery using Databricks, PySpark, Spark SQL and Azure Data Factory., • Drive DevOps best practices including CI/CD, automated testing and infrastructure as code., • Collaborate closely with data engineers, ML engineers and wider technical teams to deliver robust platform capabilities., • Take ownership of key data platform projects and influence engineering direction., • Provide technical leadership and ensure standards, patterns and best practices are followed. Your Skills and Experience You will bring: • Strong commercial experience in Azure and Databricks, with deep knowledge of Lakehouse architecture., • Proficiency in PySpark, Python, SQL and Spark SQL., • Strong DevOps engineering skills including CI/CD, automated testing and deployment pipelines., • Experience with monitoring, logging and alerting solutions., • Ability to design, build and optimise cloud platform solutions., • Stakeholder management skills and confidence working across multiple teams., • API development experience., • Azure Data Factory knowledge is beneficial. What They Offer • Salary between £80,000 and £85,000 plus bonus., • Comprehensive benefits package and annual pay review., • Flexible by choice working environment with remote‑first culture., • 35‑hour working week promoting genuine work‑life balance., • Opportunities to shape platform strategy and contribute to future AI and automation initiatives. How to Apply If you are a strong Data Platform Engineer with deep Databricks expertise and want to take ownership of a modern Azure Lakehouse environment, please apply today.

Senior ML & AI Engineer Remote Up to £80,000 About the Role We’re partnered with a fast-growing tech startup focused on how brands and retailers use data. Their AI platform brings together data science, immersive visualisation, and large-scale machine learning to optimise product ranges, plan shopper journeys, and drive smarter commercial decisions. They’re now looking for a Senior ML & AI Engineer to join their lean, high-impact engineering team. This is a pivotal role at the intersection of ML engineering, backend systems, and LLM integration - ideal for someone who thrives in fast-paced, hands-on environments where ML systems are core. Responsibilities • Design, build, and maintain scalable backend systems that power advanced ML and LLM applications., • Develop and manage end-to-end MLOps pipelines with automation, reproducibility, and scalability at their core., • Deploy and monitor machine learning and LLM models in production, identifying model drift and performance issues., • Drive research and development in modern ML, AI, and LLM approaches, applying SOTA techniques in a real-world setting., • Champion clean, maintainable, and well-documented code following best engineering practices. What We’re Looking For • Strong academic background in Computer Science, ML, AI, or a related field., • Deep hands-on experience with Python and ML frameworks (PyTorch, TensorFlow, Hugging Face)., • Proven background in MLOps, including model versioning, CI/CD for ML, and production monitoring., • Experience building robust backend systems and APIs to serve ML models at scale., • Strong understanding of big data technologies and data orchestration tools (Airflow, DBT)., • Familiarity with LLM integration and optimisation in production environments., • Excellent problem-solving, analytical, and communication skills., • Experience fine-tuning LLMs (e.g. Unsloth, cloud-based methods).

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

Robotics Deployment Engineer (Field & Applications) Full-time | Permanent Location: London, UK (or remote) Compensation: £60,000-80,000 per year. Travel: 80% across Europe. Role Overview Our customer, an AI robotics start-up, is building and scaling the deployment of AI-driven robotic arms for industrial environments, including manufacturing facilities and logistics operations. This role focuses on bringing these systems from concept to real-world performance at client sites. This role is the first of it's kind within the business, and they are now looking for an deployment engineer with a growth mindset who wants to join their journey, build/deliver a deployment process, and facilitate further growth in the area of field operations. What You’ll Do • Design and streamline end-to-end deployment workflows, covering technical pre-sales input, safety integration, and handling processes, • Lead on-site implementation of robotic solutions, ensuring successful installation, calibration, and operational readiness, • Track system performance post-deployment and collaborate with engineering teams to refine and optimise results, • Contribute to commercial efforts by providing technical expertise during client discussions alongside leadership, • Oversee and coordinate complex deployments for strategic customers, • Occasionally support AI development initiatives in partnership with the technical team Your Background Core Requirements: • Proven hands-on experience deploying robotic systems in real-world environments, • Strong organisational and project leadership capabilities, • Working knowledge of robotic software, machine vision, industrial cameras etc., • Genuine interest in robotics and artificial intelligence, combined with a self-driven and structured approach to work, • Experience with industrial robotic arms or collaborative robots, • Exposure to technical sales or pre-sales activities in robotics, • Familiarity with AI-based robotic applications, • Understanding of software rollout and integration processes, • Additional language skills (French and/or German)

Job title: Electronic Design Engineer Location: Reading/Glasgow sites available within hybrid working arrangements. Mission Akkodis, is a global leader in the engineering and R&D market that is leveraging the power of connected data to accelerate innovation and digital transformation. With a shared passion for technology and talent, 50,000 engineers and digital experts deliver deep cross-sector expertise in 30 countries across North America, EMEA and APAC. Akkodis offers broad industry experience, and strong know-how in key technology sectors such as mobility, software & technology services, robotics, testing, simulations, data security, AI & data analytics. The combined IT and engineering expertise brings a unique end-to-end solution offering, with four service lines – Consulting, Solutions, Talents and Academy – to support clients in rethinking their product development and business processes, improve productivity, minimize time to market and shape a smarter and more sustainable tomorrow. Akkodis is part of the Adecco Group and is a commercial brand under which both AKKA and Modis entities operate. Scope The Electronic Engineer develops integrated hardware solutions, both utilising COTS components and designing bespoke systems, through design, development, verification, and validation. In this role you will produce electrical interconnect designs, cable schedules, ICDs, wiring schedules, LV distributions, earth & bonding strategies, assess the impact of EMI / EMC, RoHS, REACH and LV Directive on the electrical designs, etc. Responsibilities • Satisfy the HW requirement set through design, development, and test activities., • Implement the hardware architecture in physical and electrical form, fit and function., • Support Manufacturing and Procurement during the build phase, i.e. respond to Problem Reports and implement Engineering Change Requests., • Define the Design Proving / Hardware Test Specifications and use these during qualification., • Define the EMC and Environmental Test Specifications and use these during qualification., • Design and develop any special test equipment to facilitate the above. Skills • General Electronic and Electrical Engineering (degree level)., • COTS AC and DC LV power supplies., • Designing with PCI, RS485/232, Hotlink and Ethernet interfaces., • Designing cables and harness assemblies, utilising military style connectors and backshells, such as MIL-DTL-38999., • An understanding of cable screening methods and military style cable construction methodologies., • Designing to meet EMC and environmental standards / requirements. Experience • Strong relevant experience of the Skills listed above or associated experience that can be applied to electronic, electrical and electro-mechanical design in a regulated industry., • Design and specification of COTS and bespoke sub-assemblies and equipment suitable for 19” racks / cabinets., • Interconnection Design (i.e. wiring harnesses, copper or fibre optical network interconnections, connector types, power distribution and data comms, spatial constraints, environmental considerations)., • Full engineering lifecycle experience (Capture, Design, Implementation, Test)., • Working with requirements in a structured and evidential manner., • Production of Design / Test Specifications and Test Reports.

Do you want to build AI systems that power real financial intelligence used by hedge funds? Have you deployed LLM or RAG systems into production rather than just prototypes? Are you ready to design agentic AI systems end-to-end in a small, high-ownership engineering team? A London-based alternative data company is hiring an AI Engineer to help build production AI systems used internally and eventually within client-facing products. The company develops machine learning models that estimate company performance before earnings announcements by analysing alternative datasets such as transaction data, digital signals, and web activity. Their platform tracks hundreds of public companies and sells predictive KPI insights to hedge funds and institutional investors. The team is small and highly technical, offering engineers significant ownership across architecture, tooling, and product development. This role will focus on designing and deploying end-to-end LLM systems, initially building internal AI tools and automation systems before expanding into client-facing AI products. Key Responsibilities • Design and deploy RAG pipelines for knowledge retrieval and reasoning, • Build agentic AI workflows using frameworks such as LangChain or similar, • Develop LLM microservices using Python frameworks such as FastAPI or Flask, • Build internal AI tools including chatbots, automation systems, and workflow assistants, • Deploy AI services on AWS infrastructure and manage reliability and monitoring, • Work with vector databases and orchestration frameworks for LLM systems Key Details • Comp: £60,000–£95,000, ~15% bonus, equity, • Working model: Fully remote (UK) with occasional team gatherings, • Tech stack: Python, LangChain, RAG systems, AWS, vector databases, • Visa sponsorship: This role cannot sponsor Interested? Please apply below.

Pivotal Partners is exclusively partnered with a Series D ($1.1B) AI company defining the AI Software Development space. Backed by top-tier investors and founded by a deeply technical team (ex-Scale AI, Cursor, Modal, Google DeepMind, and Waymo), the company is already valued at $12B. With technical deployment and customer impact at the core of the GTM strategy, this Forward Deployed Engineer role is critical to how the product gets adopted, expanded, and defined in the real world. Location: London, England Role: Forward Deployed Engineer (FDE) As a Forward Deployed Engineer, you will own the technical success and real-world application of the platform across a number of our largest customers. This is a highly strategic, customer-facing engineering role focused on building, deploying, and iterating on solutions... not support. You’ll work directly with senior stakeholders (engineering, product, and leadership) to turn ambiguous problems into production-grade systems that influence real decisions. Why this role: • Opportunity to join and work with leading engineers from Anthropic, OpenAI, Palantir and Scale AI., • Highly technical role with direct exposure to real-world outcomes, • Work sits at the intersection of engineering, product, and strategy, • Genuinely new problem space — no established playbooks, • High ownership and autonomy from day one If you're an Software engineer/Full Stack Engineer who wants to move closer to the problem, the customer, and the decision making itself, this is worth a conversation. Responsibilities: • Own the technical relationship for a portfolio of enterprise customers, • Scope and break down ambiguous, high-impact problems into solvable components, • Design and build production-grade systems (APIs, data pipelines, integrations), • Deploy solutions into real-world workflows that directly influence decision-making, • Act as a trusted advisor to senior engineers, architects, and executives, • Translate customer use cases into actionable product and engineering insights, • Partner closely with Product and Engineering to shape roadmap and capabilities, • Help define and scale how this technology is applied across industries Requirements: • MUST HAVE A STEM degree, • Strong software engineering fundamentals (Python, TypeScript, or similar), • Experience building backend systems, data pipelines, or distributed systems, • Comfortable working with APIs, integrations, and modern infrastructure, • Ability to operate in ambiguous, fast-moving environments with minimal structure, • Strong communication skills across both technical and non-technical audiences, • Experience in customer-facing technical roles (FDE) is beneficial but not required

Backend Software Engineer (Python/Django) About the role: We are working with an early-stage, AI-driven technology company building advanced platforms that leverage machine learning, NLP and large language models to solve complex research and data problems. The team is focused on developing scalable, intelligent systems, increasingly incorporating LLM-powered and agentic workflows to automate sophisticated tasks. As one of the early engineering hires, you will play a key role in building and scaling the core platform, working closely with the CTO and senior engineers to design, develop and deploy new features. This is a hands-on role with real ownership and impact on product direction. Requirements • 2+ years of commercial software engineering experience, • Strong Python web development experience (essential), • Solid experience with Django (or similar Python web frameworks, Django preferred), • Experience building and maintaining production web applications (not just data science scripts), • Experience with Docker and containerised applications, • Experience working with relational databases (e.g. PostgreSQL), • Good understanding of API design and backend architecture, • Proficiency with Git, • Willingness to work 2 days per week onsite in London Nice to have • Exposure to NLP or search systems (e.g. semantic search), • Experience working with LLMs or generative AI, • Frontend experience (e.g. React), • Experience with Elasticsearch or OpenSearch, • Experience with AWS or similar cloud platforms Benefits • Flexible working, • Pension contributions, • Training & development, • Stock option plan, • Work from home budget

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our team to meet that demand. The Role We're hiring an Engineering Manager to lead and grow one of our engineering teams. This is a people first role for someone who is genuinely excited about the craft of leadership. You will own the performance, growth, and culture of your team, working closely with Product and Lead Engineer to create an environment of genuine ownership and high autonomy. This role requires a strong engineering background, not to own the technical direction, but to earn credibility, ask the right questions, and know when to step in. What You’ll Be Doing • Own performance, development, and progression of your team, • Own the individual performance and development of your direct reports, setting a high bar, giving honest feedback, and creating conditions for engineers to grow into real ownership., • Build a self-organised team, initially playing a facilitating role in ceremonies, with the explicit goal of no longer being needed to run the process., • Partner with Product on roadmap planning, making sure engineers understand the context behind the work, not just the tickets in front of them., • Own your team's delivery, keeping engineers unblocked, priorities clear, and commitments met., • Spot patterns in how your team operates, design better ways of working, and build the automation that powers those improvements., • Stay close enough to the codebase to spot friction, improve developer tooling, and engage credibly in technical discussions, without stepping onto the critical path., • Drive hiring alongside our Recruitment team, contributing to interview process design, and a high-quality candidate experience., • Set the cultural expectation around AI coding tools, building team-wide norms for responsible, high-quality AI-assisted engineering. What We’re Looking For • Extensive experience in software engineering, with genuine hands-on technical experience. You know what good code looks like and can get into the details when it matters., • Proven experience as an Engineering Manager or Team Lead, with real ownership of individual performance and team culture., • A track record of building high-trust, high-autonomy teams, not teams that work because of you, but teams that work because of the environment you built., • Good understanding of Node.js or Python, and React. Enough to have credible technical conversations, review code, and debug issues alongside your team., • Experience with Agile/Scrum, and a track record of improving how teams deliver, not just following a process., • Genuine excitement about AI coding tools. You use them yourself, you help your team use them well, and you stay current on what's emerging., • You enjoy management and leadership problems. Growing and unblocking people, building the processes and frameworks that make the team better. These are things you actively want to do. Why Aveni • We're building AI systems for a sector where trust and safety genuinely matter and we take that seriously in how we engineer., • High-trust, high-autonomy culture: we give engineers real ownership and expect them to use it., • AI-native engineering culture. We use AI tools across the full software lifecycle and expect our engineering leaders to lead from the front., • High-growth fintech at an exciting moment. New products launching, the team scaling, and the chance to shape how engineering works at Aveni for years to come. Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We’ve built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you’re passionate about technology and its ability to drive positive change for the future of financial services, we’d love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI. Benefits at Aveni. What you’ll love: • We’re a remote-first company across the UK, with regular off-sites and in-person gatherings that are always fun, motivating and team-focused., • Work abroad policy, • Co-working spaces available, • 34 days holiday (including flexible bank holidays) and your birthday off, • Company-wide off-sites, • Optional Personal Development Plan, • Flexible benefits platform, • Protection essentials including Life Insurance, Income Protection, Critical Illness cover, and Pension (up to 5% matched employer contribution with optional increased contributions), • Private health and dental care, • Potential share options, • Enhanced family leave

[NO RECRUITERS PLEASE] About Flare Flare is the number one delivery date platform for Shopify Plus brands globally. We power the delivery experience at checkout for over 700 merchants, handling the logic, rules, and complexity behind the scenes so shoppers always see accurate, reliable delivery options when it matters most. We've grown 10x in revenue since Q1 2025, processing over $100M in orders annually across hundreds of thousands of checkouts every month. We're growing at 15% month-on-month, cash-flow positive, and just getting started. We're building Flare into the end-to-end shipping logic layer for Shopify, from checkout UI to carrier integrations. Legacy and unreliable software owns this space today. We're taking it from them. Why this role exists Flare was built by two founders. You'd be the third person in the company and the first engineering hire to join the founding team. The work is hard: real-time delivery calculation, geo and postcode rule enforcement, carrier and fulfilment integrations, checkout performance at scale. We need someone who loves building reliable systems fast and is happy to roll up their sleeves and get stuck in, whether that's shipping a customer-facing fix that drives retention or architecting something that scales to ten times the load. We move fast and the bar is high. You'll work directly with our CTO, who built a rules and conditions engine from scratch that processes over a million requests a week, returning complex delivery decisions to Shopify in under 190ms. You'll learn how those decisions got made, how to build for scale whilst shipping fast, and how to take something from zero to one. Our CEO grew Flare from nothing to 700 brands without a sales team, so when you're building, you're building on top of real commercial momentum. You'll own how you build, ship things live for major brands within your first weeks, and be pushed to do the best work of your career. If you're the kind of engineer who finds that energising, this is the right place. We're an AI-first team. Using tools like Cursor and Claude Code isn't optional - it's how we move fast without cutting corners. Anything that helps us ship better product faster is fair game. What you'll work on The decision engine At the core of Flare is a system that takes everything - postcode, product, carrier, cut-off time, cart, customer location - and distils it into a simple, accurate response that shows the right delivery options to the right shopper at the right moment. You'll expand the rules and conditions layer, add new carrier and fulfilment integrations, and push the performance envelope as request volume grows. That includes thinking carefully about how we cache responses intelligently, so we stay fast at scale without compromising on accuracy. Checkout and customer experience The Shopify checkout is one of the most constrained and scrutinised environments in eCommerce. Shopify's extensions model is powerful but unforgiving on performance. You'll build the frontend layer that takes the output of our decision engine and turns it into a fast, polished experience that shoppers actually enjoy using. Done well, it increases conversion. Done badly, it loses the sale. The challenge is building something technically complex that feels completely effortless to the person buying. AI-assisted onboarding Onboarding is a critical and genuinely interesting problem. You'll work on using AI to make setup as frictionless as possible, including building agents that can complete configuration autonomously. Making a powerful system easy to adopt without dumbing it down is hard to get right. Scale and reliability We're building toward $1bn in orders processed. That means taking what exists and making it handle an order of magnitude more load, whether through serverless, microservices, or another strategy. You'll be a core part of figuring that out. Every architectural decision comes back to one question: is this fast and reliable enough? In eCommerce, every millisecond counts. The kind of person we're looking for We want someone who is deeply curious about the problems our merchants face, happy to get stuck into the work that makes customers fall in love with the product, and capable of thinking bigger when it matters. You care about the customer, you understand eCommerce, and you bring your own thinking to the table. That means: • At least 3 years of strong full-stack experience, comfortable moving between frontend product work and backend systems, • Real experience with Shopify APIs (not theme development), eCommerce, logistics, or complex rule-based backend systems — you understand the domain, not just the code, • You think carefully about performance. You know what it means to build a system that has to respond in milliseconds, and you care about why that matters, • You write with production in mind: failure cases, edge cases, what happens when something breaks at 3am for a merchant processing thousands of orders a day, • You ship fast without being reckless, and you know the difference between moving quickly and cutting corners, • You use AI tooling as a natural part of how you work, not as a novelty The stack TypeScript, React (Preact), Remix, Node.js, GraphQL, AWS (ECS/EC2, DynamoDB), Shopify APIs and Webhooks. The hiring process • Intro call (30 mins) with the CTO about your background and the role, • Technical deep dive (60 mins) on a real system design problem relevant to Flare, • Founder conversation (30 mins) with the CEO about how you work and what you're looking for, • Offer What we offer 25 days holiday plus your local public holidays. We start with a one month trial, followed by a six month contract, with a move to a permanent position for the right person. We move quickly for the right person. How to apply Email with the following: • An overview of what you've built and shipped: production apps, side projects, systems you owned or played a significant part in. Be specific: what did you build, what decisions did you make, what did it handle at scale. If you can't share code, talk us through it., • Your GitHub profile, portfolio, or any links to live work., • A short note on why this role. Not a cover letter - just tell us what specifically resonates with you about what we're building and what in your background is directly relevant.

Software Engineer within Data & A.I team 🔥 Salary circa 75K with a 10% bonus. 📍Very flexible working arrangement, great to see you in Bristol office, however are open to fully remote. Super interesting company, using AI to build smart solutions that help governments, businesses, and communities make better decisions. They develop advanced robotic systems and software for things like surveillance, inspections, and emergency response. The org is in the Defense industry, so you will gain SC Clearance (must have been in the UK for 5 years to attain it) They're expanding their Data & AI team and looking for a Backend Software Engineer to help build scalable, reliable systems. What you’ll do: ➡️Turn requirements into working software ➡️Design, build, and deploy backend systems ➡️Work closely with product teams in an Agile setup ➡️Test, improve, and maintain code quality ➡️Support real-world deployments and system integration ➡️Keep up with new tech and contribute to improvements They're looking for: ✅3+ years of software engineering experience ✅Strong C# and .NET skills ✅Experience with APIs, databases, and system design ✅Familiarity with Linux, Cloud, DevOps, and CI/CD ✅Comfortable working in Agile teams ✅Bonus: experience with AI/ML or distributed systems You should be a strong problem-solver, detail-oriented, and able to work in a fast-moving environment. Please get in touch if you would like to learn more!

Staff NLP Engineer – LLMs / Search / AI Systems London (Hybrid – 2 days onsite) £90,000 – £110,000 + Equity I'm working with an AI-first technology platform transforming how complex intellectual property research is done using Natural Language Processing, Large Language Models and advanced search systems. They were early adopters of LLMs and are now building agentic AI workflows capable of autonomously answering complex research questions. They're looking for a Staff NLP Engineer to lead the development of their language and search systems. The Role You'll work on the core AI systems powering the platform, including: • Improving search relevance and ranking (precision & recall), • Designing LLM-powered NLP pipelines, • Developing language models and NLP systems for production, • Building and optimising large-scale search infrastructure, • Developing agentic LLM workflows for complex research tasks, • Contributing to the technical direction of NLP and data systems This is a hands-on role with significant influence on the evolution of the company's AI capabilities. What they're looking for • Strong Python experience, • Commercial Natural Language Processing (NLP) experience, • Experience building production ML/NLP systems, • Experience with TensorFlow or PyTorch, • Experience with search technologies (Elasticsearch, OpenSearch etc.), • Experience working with large datasets or language systems Experience with LLMs or information retrieval systems would be beneficial. Package • £90,000 – £110,000 salary, • Stock option plan, • 25 days holiday, • Pension contributions, • Flexible working, • Ongoing learning & development Apply or message me directly if you'd like to learn more.

Join Our Dynamic Team in the Pharmaceutical Industry! Are you an enthusiastic engineer with a passion for medical technology? Do you thrive in a fast-paced environment? If so, we have an exciting opportunity for you! Our client is seeking a Product Support Installations Engineer for a fixed-term contract of 6 months. This role offers a competitive daily rate ranging from £200 to £250. Key Responsibilities: • Undertake on-site support visits for installations, de-installations, and relocations of critical instruments., • Deliver high-quality installations while adhering to customer policies and safety standards., • Engage with customers to address queries and ensure effective communication with the wider business., • Maintain calibrated tools and equipment, ensuring compliance with service activities., • Provide first-level troubleshooting support, using your technical skills to solve issues promptly. What We’re Looking For: Essential Qualifications: • A qualified engineer in electrical engineering, medical technology, or a relevant Biomedical Science degree., • Full UK/EU driving licence and a valid passport for overseas training. Core Competencies: • Strong electrical, electronic, and mechanical understanding., • Proven ability to manage personal time and prioritise tasks effectively., • Excellent communication skills, both written and verbal, with a flair for teamwork and collaboration., • A logical, process-driven mindset with an attention to detail., • Enthusiastic about challenging technologies, including robotics and medical issues. Desirable Skills (but not essential): • Initial experience in a medical technical environment., • Familiarity with medical analytical systems and quality assurance., • Experience with Customer Relationship Management (CRM) tools and web delivery applications., • Customer-facing engineering support experience. Why Join Us? • Be part of a collaborative team that values integrity, courage, and passion., • Gain exposure to cutting-edge technologies in the diagnostics industry., • Opportunities for personal growth and professional development through structured training., • Enjoy a supportive work environment with a focus on continuous improvement. Who You Are: • A quick learner with a curious mind, eager to innovate and contribute ideas., • Resilient and adaptable, thriving in a changing environment., • Committed to achieving results and accountable for your commitments. Note: This position requires regular overnight stays throughout the UK and Ireland. Ready to Take the Next Step? If you’re excited about joining a team that makes a difference in the healthcare sector, we want to hear from you! Apply now to embark on a fulfilling journey with us. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.