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The moment Consulting is being agentified. The $300B insights industry is about to be rebuilt by AI agents that don't just report what happened — they tell brands what to do next and execute it. Most firms are still figuring out how to use ChatGPT for email. We've already built the agents. Hotspex has spent 25 years measuring what the world's biggest brands make people feel — over 1M interviews, 800+ brands, 33 countries, validated at P&G, Coca-Cola, Unilever, RBC, TELUS. Now we're weaponizing that dataset with AI. Every methodology we've built is becoming an autonomous agent. Every deliverable is becoming a living product. Every client interaction is becoming an intelligent system. This is the Agentification of Consulting — and we're riding the front of the wave. We need a Full Stack Engineer in Toronto who wants to build what comes next. What you'll build You won't be maintaining someone else's codebase. You'll ship enterprise-grade AI products to Fortune 100 CMOs — and you'll see your work in boardrooms within weeks, not quarters. → Agent-powered brand intelligence platforms — autonomous systems that ingest research data, generate strategic recommendations, and deliver them directly to the world's largest advertisers → Top of Model™ — our proprietary platform measuring how brands rank inside ChatGPT, Claude, Gemini, and Perplexity. We're defining an entirely new category of brand measurement for the AI era → BrandSpace — a self-serve SaaS platform putting 25 years of enterprise-grade emotional brand science into the hands of every marketer → MCP server integrations and agentic tool chains — exposing our Human Motivation Framework as API-accessible AI tools that plug into Claude, Adobe, and enterprise martech stacks → Client-facing interactive products — brand simulators, revenue growth models, and AI-powered proposal systems that win seven-figure engagements Who you are You're a builder, not a ticket-taker. You can go from a rough CEO brief on Monday to a shipped product by Friday. Specifically: • Full-stack fluency — React, Node, Python, modern deployment (Vercel/Netlify, Supabase, serverless). You own the whole surface from UI to infrastructure, • AI-native — you've built with Anthropic and OpenAI APIs, you understand tool use, embeddings, MCP, and agentic workflows. You don't just prompt — you architect systems around LLMs, • Claude Code proficiency is essential — we build with it daily and we'll want to see examples of what you've shipped with it, • Genuinely interested in marketing and brand strategy — you want to understand why a campaign moves a brand, not just render the dashboard. The best code at Hotspex is written by people who understand the business problem, • Product-minded — you think in user outcomes, not tickets. You push back on bad specs and propose better solutions, • High ownership, low ego — direct access to the CEO, the IP, and the clients means you'll have outsized impact and outsized accountability Why this role is rare 💰 Stock options — you'll have equity upside in a company that's been profitable for 25 years and is now scaling its AI product suite into a category-defining SaaS business 🏢 Toronto-based, on-site — we believe the best products get built by people in the same room solving hard problems together. Being in Toronto is key — this is a hands-on, high-trust, high-speed environment 🚀 Fortune 100 clients from day one — your code ships to RBC, global CPG, major broadcasters, and government. Not a pre-revenue pitch deck 🤖 AI isn't a feature — it's the entire product thesis — every tool, methodology, and deliverable at Hotspex is being agentified. You'll be at the centre of that transformation 📐 25 years of proprietary IP — you're not starting from zero. You're building on top of the Human Motivation Framework — 177 personality attributes, 96 emotions, 8 motivational zones — a dataset most AI startups would kill for 🎯 No four-layer product org — you'll work directly with the CEO, strategists, and clients. Your decisions ship Qualifications • Proficient in front-end development: HTML, CSS, and modern JavaScript frameworks (React preferred), • Skilled in back-end development: server-side languages, database management, API design, • Proven full-stack delivery — end-to-end ownership from architecture to deployment, • Strong experience with Claude Code — show us what you've built with it, • Familiarity with cloud platforms, DevOps tooling, and CI/CD pipelines, • Experience with agile workflows and Git-based version control, • Excellent problem-solving instincts with a bias toward performance and scalability, • Strong communication skills — you'll present to clients, not just commit to repos, • Bachelor's degree in Computer Science, Software Engineering, or related field preferred — but shipped work matters more than credentials How to apply Send a short note and your best work to — GitHub repos, shipped products, side projects, agent builds. If you've built something AI-powered that actually works in production, lead with that. We're 25 years old and moving faster than any startup. Come build the next chapter. • hotspex.com

About Canbury Canbury is a technology-enabled sustainability firm applying AI tools to deliver research, data, and analysis thoroughly, effectively and cost-efficiently. We work with leading institutional investors, companies and NGOs on specialised sustainability topics, including climate change, nature, social inequality, systems change, and policy change. We combine deep sustainability and financial expertise with our in-house technology team to develop bespoke software solutions for clients across the sustainability space. We are at the forefront of deploying AI into sustainability data, using technology where it is best applied to reduce manual time and cost on large-scale text and data analysis. You can find more on our service lines and examples of our work at canbury.io. About the role We are expanding our technology team to meet growing client demand. As a Full-Stack Engineer, you will work across our internal platform, which powers Canbury’s research and analytics, and bespoke software for clients across the sustainability space. Our stack is Python (FastAPI), React/TypeScript, PostgreSQL, and Azure (Container Apps, Blob Storage, Postgres Flexible Server, and related services). You will work across all of it. We are particularly keen to hear from engineers with strong infrastructure and DevOps instincts who want to push us to run things properly in production. Why this role is interesting • Real autonomy. We are a small team. You will scope, build, deploy, and own systems end-to-end., • AI in production. We run LLM pipelines processing thousands of company disclosures for institutional investors. Cost, latency, and reliability are real constraints., • Technical breadth. Infrastructure, full-stack product work, and AI/data engineering all sit within the role., • Work that matters. Our clients steward trillions in assets. The tools you build shape how they assess companies on sustainability. What you'll do • Build and own infrastructure on Azure. Design and maintain CI/CD pipelines, container deployments, networking, secrets management, monitoring, and cost controls., • Develop full-stack features end-to-end. From Postgres schema design through FastAPI endpoints to React interfaces, for client deliverables., • Build Python-based data and AI pipelines. Develop analytics and ETL pipelines, automate data collection and cleansing, and extract insights via LLM APIs (Anthropic, OpenAI, Gemini). Optimise for cost and quality through caching, batching, token management, and prompt and post-processing design., • Contribute to technical decision-making as the team grows: architecture, tooling, code quality, and engineering practices. As a small team, everyone wears multiple hats and the role will evolve with the business and with technological developments. What we're looking for • At least 2 years of professional software engineering experience, preferably in roles where you have shipped and operated production systems, not just built prototypes., • Strong infrastructure and DevOps skills: hands-on experience with Azure (or comparable cloud, AWS or GCP), containerisation (Docker), CI/CD, and infrastructure-as-code., • Solid full-stack experience with Python backends (FastAPI or similar), React/TypeScript frontends, and relational databases (PostgreSQL preferred)., • A track record of building and shipping. Personal projects, open-source contributions, or production systems you can talk about in detail., • Comfort working with LLM APIs and an understanding of the practical considerations around cost, latency, and reliability when AI is in the loop., • Pragmatism and ownership. We need people who can scope, build, deploy, and maintain, not just write code and hand it off. Practicalities • Location: London. Hybrid. We have an office in Farringdon., • Type: Full-time, permanent., • Salary: £40k-60k+ depending on experience., • Right to work: You must have the right to work in the UK. We are unable to sponsor visas at this stage.

Full-time position. Onsite 5 days a week – Chiswick, London. We’re hiring a Senior Mechatronics Engineer to help deliver the motion control, sensing, and real-time system behaviour needed for the HoloDrive system. About HoloMem - At HoloMem, we’re building the next generation of mass data storage hardware; highly efficient, long life, and ultra durable. Our pioneering and patented holographic technology encodes data as light within advanced polymers, enabling a resilient and future fit alternative to today’s short lived and energy intensive data storage infrastructure. Over the past 24 months HoloMem has graduated from both the Intel Ignite and Deeptech Labs accelerators, been awarded two Innovate UK Smart Grants, closed a seed+ funding round, and most recently deployed a working HoloDrive prototype to a live data centre to prove the robustness of our system. Off the back of our breakthrough partnership with BDT, the world’s largest tape library manufacturer, we now begin the transition from prototype to product, maturing our validated system into a mass-produced technology platform that enables state of the art data storage performance at scale. We have ambitious plans, and we are now scaling up our West London based team to enable them. Join us. What You’ll Be Doing - You will work across motor control architecture, actuator selection, encoder and sensor integration, control loop tuning, test rigs, motor drivers, embedded software, and real-time system behaviour. Some motion control functions may sit close to FPGA-based hardware interfaces, including FOC, encoder processing, high-speed timing, commutation, PWM generation, synchronisation, and closed-loop control. You will not own FPGA implementation, but you should be able to reason clearly about whether an issue is coming from the control system, electronics, sensors, or mechanics. The Specifics About the Role - This role is suited to a senior mechatronics engineer who has delivered motor control in real hardware systems, and who is comfortable working across mechanical motion, electronics, embedded software, sensors, actuators, and system test. You should be able to: • Define and develop motor control approaches for precision motion in a complex electromechanical system, • Support actuator selection across stepper, servo, piezo, linear motor, or related motion technologies, • Integrate encoders, optical sensors, and other feedback mechanisms into motion control systems, • Tune and validate PID, FOC, or related control approaches for speed, position, repeatability, tension, or synchronisation, • Work with motor drivers, embedded C/C++, real-time control systems, and hardware interfaces during bring-up and integration, • Develop test rigs and measurement approaches to characterise motor behaviour, repeatability, and control stability, • Debug motion issues across mechanical, electrical, embedded software, FPGA-interface, sensing, and control system boundaries, • Document control behaviour, test results, risks, trade-offs, and engineering decisions clearly Who You Are - You are a hands-on mechatronics engineer who is comfortable where software, electronics, mechanics, and control theory meet. You understand that reliable motion control requires the right actuator, clean sensing, stable control loops, practical test methods, and disciplined debugging. You enjoy working with real hardware. You can move from control logic to oscilloscope traces, from sensor signals to mechanical behaviour, and from test results back to system-level design decisions. You communicate clearly across multi-disciplinary teams, and challenge decisions when the evidence does not support them. Required Experience - • Degree-level education in mechatronics, mechanical engineering, electrical/electronic engineering, control engineering, robotics, or a closely related discipline, • 3 – 5 years relevant industry experience developing motor control or precision motion systems in real hardware, • Hands-on experience building, testing, measuring, and improving hardware systems, • Practical judgement in balancing time, cost, specification, quality, scalability, and delivery risk Desirable Skills - • Exposure to FPGA-based motor control systems, deterministic timing, encoder processing, PWM generation, commutation, safety interlocks, synchronisation, or closed-loop control, • Ability to diagnose whether motor control issues originate in FPGA implementation, embedded software, electronics, sensing, control loop behaviour, or mechanical system behaviour, • Experience with precision media handling, tape handling, web handling, cartridge systems, or other mechanically sensitive motion systems, • Experience supporting hardware through EVT, DVT, PVT, production readiness, or launch phases, • Experience working closely with mechanical engineers on tolerance, friction, alignment, wear, or repeatability issues Benefits At HoloMem - • Competitive salary, • 25 days annual leave, • Employer pension contributions, • Cycle-to-work scheme, • A collaborative, knowledgeable team working on deeply technical, world-positive problems How to Apply - Click apply or send your CV to . Show us what you’ve designed, built, or tested. If you’re excited about the mission, even if you don’t meet every requirement, we’d love to hear from you. HoloMem is an equal opportunity employer. We value diversity and are committed to building an inclusive environment for all.

Join Keith to build the future of legal services; using technology to add speed, consistency and affordability. Keith is an AI-native and full-stack regulated law firm, initially focusing on disrupting the UK conveyancing market. By leveraging technology, we aim to automate c. 80% of the current human workload - delivering game-changing levels of client service, improved responsiveness, and reduced transaction time duration. We have ambitions to expand into other formulaic process-driven practice areas, targeting a £19B UK total addressable market. Keith also aims to create a loveable and recognisable brand within legal services - arguably a first. Keith's been founded by Andy Shovel, Pete Sharman and Sam Tucker. Andy and Pete co-founded THIS (this.co) which in 6 years, has grown into a market-leading plant-based food brand, delivering over £20m in annual sales. THIS has become known for game-changing innovation and highly engaging comms. Sam Tucker is also a serial founder, having previously founded Common Surface, now part of deskbird. Backed VC and Breega are two europe-leading VC funds who have invested in Keith. Between them, they've also backed Moneybox, Exotec, Thought Machine and many other high-growth start-ups. About the Role We're looking for a Senior Software Engineer to lead our engineering team. You'll set the technical direction, make key architecture decisions, and help hire and build out the team as we grow. This is a senior role - you'll have significant ownership over how Keith's platform is built, deployed and secured. You Will: • Design and own the architecture of Keith's platform - the state machine, workflow engine, API layer and data model that orchestrate every transaction, • Own infrastructure, deployments and CI/CD - ensure the platform is reliable, scalable and fast as we grow from launch to thousands of concurrent transactions, • Build and maintain security practices appropriate for a regulated law firm - data encryption, access controls, audit logging, penetration testing, • Build and improve AI agent pipelines - document review, correspondence handling, structured data extraction, • Build internal tooling for conveyancers - inbox, document review, approval workflows, transaction oversight, • Help hire and build out the engineering team as we scale About You • 5+ years building production software, with a strong backend emphasis, • Strong command of Python, TypeScript and React/Next.js, • Experience building and operating scalable, secure systems - you understand infrastructure, observability and deployment pipelines, • Experience with AI agent orchestration frameworks (LangGraph, OpenAI Agent SDK, or similar), • Strong architectural judgement - you'll be making foundational decisions about the stack, data model and system design, • Comfortable with security and compliance requirements - you've worked in regulated or security-sensitive environments, • Experience hiring and managing engineers, • Join a small, senior founding team building one of the first AI-native regulated law firms from scratch, • Founding team with a proven track record - including founders of one of the UK's fastest growing consumer brands, • Have real ownership and help redefine how legal work gets done, • Collaborate with senior lawyers and technologists to automate complex workflows at scale, • Work at the frontier of AI and law - move fast, experiment, and shape the product

The Role You'll join the Pharosyn team as an early hire — directly shaping the entire software stack. We are hiring founding engineers with different strengths; you are not expected to be senior across all three domains. AI Engineering -⁠ ⁠Prompt engineering and LLM orchestration -⁠ ⁠Building evaluation frameworks and feedback loops -⁠ ⁠Deploying and operating AI systems reliably in production Data Engineering -⁠ ⁠Ingesting data from heterogeneous sources (APIs, RSS, web scraping) -⁠ ⁠Data modelling, pipelines, and transformation -⁠ ⁠PostgreSQL, vector databases, and medallion-style layering (raw → cleaned → served) Enterprise Infrastructure -⁠ ⁠Multi-tenant SaaS architecture -⁠ ⁠Cloud deployment -⁠ ⁠Security, authentication flows, and production reliability You should demonstrate applied excellence in at least one of these areas, with demonstrated interest across multiple. Core Engineering Philosophy We care deeply about leverage as an engineering principle. We want you to help us build the system that builds the system: -⁠ ⁠The development environment, tooling, and workflows that let a small team move extremely fast without breaking production -⁠ ⁠Tight feedback loops between customer usage, observability, evaluation, and execution (tests, CI, code review) -⁠ ⁠Early architectural choices that scale to a $100m+ product with a lean team -⁠ ⁠Treating developer productivity, reliability, and iteration speed as first-class product concerns You Must -⁠ ⁠Have demonstrated ability to build and ship real products (e.g., shipped SaaS, production pipelines, open-source with users, meaningful side project, startup experience) - show us what you’ve made -⁠ ⁠Have strong core engineering fundamentals and the ability to learn new languages quickly (our current stack includes TypeScript/React, Python, and PostgreSQL) -⁠ ⁠Already use AI coding tools (e.g. Cursor, Claude Code, Copilot) to materially increase output -⁠ ⁠Thrive being given problems and architecting solutions, not waiting for project specs — you should be the best person you know at architecting brilliant solutions to customer problems -⁠ ⁠Bonus points for experience in healthcare, biotech or regulatory data We are primarily targeting exceptional early-career engineers and unusually strong senior engineers who want real ownership at the earliest stage What We Offer -⁠ ⁠£100–130k base salary as a baseline, with flexibility for candidates who bring exceptional depth in one of our core domains. For outstanding senior engineers with relevant experience building and deploying complex systems with enterprise customers, we are open to going meaningfully higher. -⁠ ⁠Meaningful equity — this is a true founding engineer role -⁠ ⁠Direct collaboration with the founders on product and strategy -⁠ ⁠Travel to the US to work onsite with enterprise clients -⁠ ⁠The chance to define the technical culture and architecture of the company from first principles Expectations This is an early-stage startup in a competitive market. The work is demanding and fast-moving: -⁠ ⁠High commitment - this is not a typical 9–6 role. The pace is intense and sustained effort is expected, especially around customer delivery and critical deadlines. -⁠ ⁠Present in the London office (in-person, not remote) -⁠ ⁠High autonomy, high accountability -⁠ ⁠Speed and quality - speed is essential, compromise when necessary but don’t hide behind speed as an excuse for poor quality Values -⁠ ⁠Operational excellence - Move fast, maintain high standards, and take responsibility for the outcome. -⁠ ⁠Ownership - If it’s in your orbit, you own it end-to-end. -⁠ ⁠Intellectual honesty - Say what you think, challenge ideas openly -⁠ ⁠Practical problem-solving - Find a way forward, use the right tools, and ask for help when needed. -⁠ ⁠Continual learning - Keep getting better, update your skills, and adapt as the problem space evolves and transfer those learnings into the product.

Full-time position. Onsite 5 days a week – Chiswick, London. We’re hiring an Electronics Engineer to develop, bring up, validate, and support the manufacture of PCB assemblies for the HoloDrive system. About HoloMem - At HoloMem, we’re building the next generation of mass data storage hardware; highly efficient, long life, and ultra durable. Our pioneering and patented holographic technology encodes data as light within advanced polymers, enabling a resilient and future fit alternative to today’s short lived and energy intensive data storage infrastructure. Over the past 24 months HoloMem has graduated from both the Intel Ignite and Deeptech Labs accelerators, been awarded two Innovate UK Smart Grants, closed a seed+ funding round, and most recently deployed a working HoloDrive prototype to a live data centre to prove the robustness of our system. Off the back of our breakthrough partnership with BDT, the world’s largest tape library manufacturer, we now begin the transition from prototype to product, maturing our validated system into a mass-produced technology platform that enables state of the art data storage performance at scale. We have ambitious plans, and we are now scaling up our West London based team to enable them. Join us. What You’ll Be Doing - You will work on PCB development for HoloDrive subsystems, supporting electronics from prototype builds through manufacturing readiness. The role will cover schematic capture, PCB layout ownership or coordination with layout support, component selection, board bring-up, debugging, validation, and release documentation. You will help improve PCB reliability, testability, and manufacturability as the system matures. This includes designing with DFM and DFT in mind, preparing fabrication and assembly packs, supporting component sourcing and substitutions, and helping resolve PCB assembly issues. The Specifics About the Role - This role is suited to an electronics engineer with industry experience developing real PCB hardware, bringing boards up in the lab, and supporting the practical transition from prototype electronics into manufacturable assemblies. You should be able to: • Create and update PCB schematics for defined HoloDrive subsystems, • Own PCB layout activity directly or work effectively with external or internal layout support, • Select components with consideration for performance, availability, cost, lifecycle, and manufacturability, • Bring up and debug new PCB assemblies using lab equipment and structured test methods, • Work across analog, digital, sensor interface, motor driver, power electronics, and high-speed digital circuits, • Prepare fabrication and assembly documentation for prototype and manufacturing builds, • Support EMC, reliability, and validation testing for electronics assemblies, • Investigate PCB assembly issues and support practical fixes with suppliers or manufacturing partners Who You Are - You are a practical electronics engineer who enjoys taking PCB designs from schematic through layout, build, bring-up, debug, and validation. You are comfortable working at the bench, reading signals, checking assumptions, and finding the difference between a design issue, an assembly issue, a component issue, and a test setup issue. You care about whether hardware can be built repeatedly, tested properly, and supported beyond the first prototype. You think about component availability, layout constraints, test points, assembly quality, and documentation before they become late-stage problems. Required Experience - • Degree-level education in electronic engineering, electrical engineering, mechatronics, or a closely related discipline, • Around 2–5 years of relevant industry experience developing PCB-based electronics, • Experience with PCB schematic capture and board-level design, • Experience with high-speed PCB layout considerations, including controlled impedance, length matching, signal integrity, and tight-timing interfaces such as DDR, • Experience bringing up, testing, and debugging PCB assemblies in the lab, • Experience with analog and digital electronics, • Some industry experience with power electronics, • Experience using Altium, KiCad, EasyEDA, or similar PCB design tools, • Experience with sensor interfaces, motor driver circuits, or control electronics, • Exposure to high-speed digital design considerations, • Experience preparing fabrication and assembly packs for PCB manufacture Desirable Skills - • Experience resolving PCB assembly issues with suppliers, manufacturers, or assembly partners, • Experience supporting component sourcing, substitutions, lifecycle checks, or availability-driven redesigns, • Experience supporting EMC, reliability, environmental, or validation testing, • Experience working with motor control electronics, motor drivers, encoders, or sensor feedback systems, • Experience with mixed-signal PCB design, • Experience with test fixture design, production test, or end-of-line test considerations, • Experience working with external PCB layout engineers, PCB fabricators, or contract manufacturers, • Familiarity with revision control, engineering change control, and hardware release documentation Benefits At HoloMem - • Competitive salary, • 25 days annual leave, • Employer pension contributions, • Cycle-to-work scheme, • A collaborative, knowledgeable team working on deeply technical, world-positive problems How to Apply - Click apply or send your CV to . Show us what you’ve designed, built, or tested. If you’re excited about the mission, even if you don’t meet every requirement, we’d love to hear from you. HoloMem is an equal opportunity employer. We value diversity and are committed to building an inclusive environment for all.

Are you an experienced electrical engineer ready to take on a leadership role and drive major projects? This innovative engineering consultancy is seeking a Senior Electrical Engineer to join their team on contract basis outside IR35. This is a fantastic opportunity to work on large-scale, interesting projects. Key Responsibilities: • Manage engineering projects and lead a small team to ensure timely and within budget-delivery, • Working across sectors including government, critical systems, data centres, healthcare, rail, workplace and residential, • Produce high-quality engineering designs, calculations, and specifications using advanced technical software, • Supervise and coordinate the production of technical drawings and reports, • Mentor and develop less experienced staff, fostering their professional growth, • Attend and actively participate in client and project meetings, • Conduct site visits to monitor progress and address any issues, • Ensure compliance with project management, QA, Environmental, and Health and Safety procedures. Qualifications and Experience: • Bachelor's degree or higher in a relevant engineering discipline, • Proven technical competence and experience in managing engineering projects, • Strong ability to plan and programme work for yourself and others, • Commitment to supporting the professional development of team members, • Relevant experience working in a consultancy environment, • Knowledge of Amtech and Dialux is desirable, • Excellent communication skills and using initiative to overcome challenges are essential. If you are passionate about engineering and looking for a role where you can make a significant impact while developing your career, we would love to hear from you.

Software Engineer - London £80k base + meaningful EMI equity About Revax Revax is building a new class of AI-native software for tax advisory teams. Today, advisers lose entire days to researching and drafting advice - fragmented knowledge, manual workflows, and brittle tooling. We turn a firm's own expertise into structured, transparent AI systems that draft, analyse, and explain deliverables with full traceability. We're a seed-stage startup backed by leading institutions and angels, already working with major firms. The team is small, technical, and shipping fast. The role We're hiring a Software Engineer to help scale Revax. You will work directly with the founders, owning features end-to-end across the stack, and helping to define how AI systems are built responsibly in regulated domains. Customer calls, prototyping, production hardening, and the work that lets us sell into leading firms - all of it is in scope. If you enjoy designing clean APIs, scaling services, and shipping products to paying enterprise customers, this role is for you. What you'll do • Model and optimise PostgreSQL / Supabase & graph db / Neo4j schemas for complex data, • Design and implement APIs in FastAPI for AI workflows and product features, • Build and scale LangGraph-based multi-agent systems with checkpointing, retries, and observability, • Integrate vector search, knowledge graphs, and retrieval pipelines into production services, • Deploy services on GCP (Cloud Run / GKE) and improve performance, reliability, and cost, • Implement the auth, IAM, audit, and access-control patterns enterprise customers expect, • Help deploy SSO, tenant isolation, auditability, and the security reviews that come with selling to major firms, • Work with customers, other engineers, and the founders to create best in class software Who we're looking for Essential • 2–3 years building production software used by real users, • Experience working in startups (1 year + of total experience), • Experience with LangGraph, RAG pipelines, vector databases, or knowledge graphs, • Production experience with FastAPI or a similar modern Python framework, • Experience scaling and operating services on GCP, AWS, or Azure, • A high-ownership mindset - you care about reliability, correctness, and outcomes, not lines of code, • Heavy use of modern AI coding tools (Cursor, Claude Code, Codex) Strong plus • Experience with any of; multi-tenant deployments for enterprise customers, VPC networking, Kubernetes, or shipping into procurement-heavy regulated buyers., • Exposure to Neo4j or graph-based data modelling, • Time spent on AI-native or agentic systems in production Nice to have • Exposure to professional services, finance, tax, or other regulated domains, • Strong instincts for developer experience and internal tooling The package • £80k base + meaningful EMI equity, • London-based, with a strong preference for in-office, • Visa sponsorship available, • Modern stack, and driven team that you can get have an impact in from day 1. If this sounds like you, please apply.

LEC AI | Central London (Knightsbridge) | Full-Time | 5 Days On-Site About LEC AI LEC AI is the intelligence systems division inside London Export Corporation, a London-headquartered group operating across AI, forecasting, robotics, logistics, commerce, and operational software. We are at a high-growth stage. We are scaling from founding team to production AI systems deployed across multiple businesses. We operate with the speed and ownership of an early-stage startup, backed by an established UK trading group with a 70-year operating history. Startup energy without the funding-cycle risk. We build production AI systems that operate inside real businesses, not demos or isolated copilots. Our systems already run in live environments and are expanding into organisational intelligence, structured-data prediction, multi-agent infrastructure, and SaaS products deployed across multiple businesses. This role focuses on the deployment, reliability, scaling, and operational infrastructure underneath those systems. ⸻ The Role We are hiring an AI Deployment & Platform Engineer to build and operate the infrastructure layer powering our AI systems in production. You will work directly with the AI systems engineering team to deploy AI systems into live environments, manage runtime infrastructure, scale orchestration systems, optimise inference performance, and build the deployment pipelines and observability that keep everything running. This is a deeply hands-on engineering role for someone who enjoys building production infrastructure, solving operational problems, and making AI systems reliable at scale. ⸻ What You Will Build Deployment Infrastructure • Deploy and manage AI systems primarily across AWS and Azure, with Alibaba Cloud for China-based deployments and GCP as workloads require, • Containerise and orchestrate AI workloads at scale, • Build CI/CD pipelines for AI systems and model deployments, • Manage inference infrastructure and deployment automation, • Design scalable runtime environments for multi-agent systems Reliability and Scaling • Monitor system performance, latency, throughput, and uptime, • Build observability, logging, and alerting systems, • Manage autoscaling and infrastructure optimisation, • Debug production failures and runtime bottlenecks Infrastructure Operations • Monitor model drift, data drift, and runtime quality degradation, • Implement rollback, failover, and deployment safety systems, • Manage GPU infrastructure and workload scheduling, • Optimise model serving costs and cloud spend You will support deployment and operations for organisational intelligence platforms, large-scale prediction systems, multi-agent workflows, multimodal AI systems, and future AI-native SaaS products. ⸻ Who You Are You have 3+ years of experience operating production infrastructure under real-world conditions. You are highly hands-on and comfortable owning systems directly. You understand that AI systems are operational systems, and that reliability, latency, observability, and cost control matter as much as model quality. You write production code regularly. Python is expected. Strong experience across the following is highly valuable: • containerisation and orchestration, • major cloud platforms (AWS, Azure), • infrastructure-as-code, • backend API frameworks, • caching layers and in-memory data stores, • relational and vector databases, • workflow orchestration, • CI/CD pipelines, • GPU infrastructure, • monitoring and observability stacks A strong plus: • inference optimisation, • model serving runtimes, • async and streaming systems, • MLOps tooling, • multi-agent systems, • Alibaba Cloud or other China cloud providers ⸻ Strong Signals • Built and operated AI systems in production, • Managed cloud infrastructure at scale, • Reduced infrastructure cost or inference latency significantly, • Built deployment automation pipelines, • Worked on real-time or high-throughput systems, • Strong debugging and systems instincts, • Comfortable in fast-moving environments with high ownership, • Mandarin is a bonus given our UK and China operations ⸻ Why This Role Is Different This is a founding-stage infrastructure hire inside a high-growth AI division. The systems you deploy will run inside active businesses with real operational impact, not pilots that get shelved. You will work on multi-agent systems, orchestration runtimes, large-scale prediction systems, and real-time AI deployment. Small team. Fast execution. Minimal bureaucracy. Good ideas move quickly into production. Your work is visible to the leadership team and shapes the platform from day one. We are building infrastructure designed to compound over time: memory, operational intelligence, orchestration, and reusable AI platforms. The person in this role will own a large slice of how those systems run in production. ⸻ Location and Eligibility Based in Central London (Knightsbridge). Full-time, 5 days on-site. Salary: £40,000 to £60,000 GBP, depending on experience, with significant upside as LEC AI scales. We are unable to provide visa sponsorship for this role. Applicants must have the right to work in the UK. ⸻ How to Apply Apply on LinkedIn and email your portfolio to with the subject line: AI Deployment & Platform Engineer Show us systems you have deployed, infrastructure you have operated, CI/CD pipelines you have built, GitHub, and any debugging or scaling problems you have solved.

Full-time position. Onsite 5 days a week – Chiswick, London. We’re hiring a Lead Mechanical Engineer to define the mechanical tolerances, repeatability requirements, and verification methods needed for our HoloDrive system and help bring our ambitious first product to market. About HoloMem At HoloMem, we’re building the next generation of mass data storage hardware; highly efficient, long life, and ultra durable. Our pioneering and patented holographic technology encodes data as light within advanced polymers, enabling a resilient and future fit alternative to today’s short lived and energy intensive data storage infrastructure. Over the past 24 months HoloMem has graduated from both the Intel Ignite and Deeptech Labs accelerators, been awarded two Innovate UK Smart Grants, closed a seed+ funding round, and most recently deployed a working HoloDrive prototype to a live data centre to prove the robustness of our system. Off the back of our breakthrough partnership with BDT, the world’s largest tape library manufacturer, we now begin the transition from prototype to product, maturing our validated system into a mass-produced technology platform that enables state of the art data storage performance at scale. We have ambitious plans, and we are now scaling up our West London based team to enable them. Join us. What You’ll Be Doing You will take technical ownership of a critical mechanical workstream within the HoloDrive media handling system, helping ensure it can manage, position, and control media reliably from product development prototypes through EVT, DVT, PVT, and launch. You will work across requirements definition, tolerance setting, test method development, drive system integration, part sourcing, and life-test improvement. This is a senior individual contributor role: hands-on, technical, and delivery-focused, with responsibility for guiding engineers, reviewing technical quality, and coordinating with mechanical, mechatronics, and electronics workstreams. The Specifics About the Role This role is suited to an experienced mechanical engineer who has led the delivery of precision mechanical systems or critical mechanical subsystems, and who is ready to act as the technical lead for tape handling and control within a complex hardware platform: • Establish mechanical tolerances, repeatability requirements, and verification methods that support reliable system behaviour, • Develop test methods, rigs, and verification approaches for tape movement, positioning, and repeatability, • Reduce technical risk around tape positioning, tape path control, and the mechanical interfaces that affect system repeatability, • Support the first integration of the drive system, identifying mechanical risks early and resolving them through structured build and test work, • Improve life-test methods so tape management behaviour can be assessed over meaningful operating conditions, • Peer review mechanical designs, test plans, and verification evidence for technical quality, • Guide engineers technically without relying on formal line management authority Who You Are You are a mechanically grounded engineer who is comfortable working close to the hardware. You understand that reliable mechanical systems need clear requirements, measurable tolerances, controlled interfaces, practical test methods, and disciplined verification. You enjoy problems where motion, material handling, system integration, and quality interact. You can bring structure to ambiguity, expose what is not yet known, and help the wider team converge on testable engineering decisions. You communicate clearly, challenge constructively, and raise the technical standard of the work around you. Required Experience • Degree-level education in mechanical engineering or a closely related discipline, • Around 8 years of relevant industry experience in mechanical engineering, mechanical systems, or precision hardware development, • Experience leading the delivery of mechanical systems, subsystems, or significant mechanical workstreams, • Experience integrating mechanical systems beyond isolated component design, • Experience defining mechanical requirements, tolerances, repeatability requirements, and verification methods, • Experience setting quality requirements for mechanical systems, not only performance targets, • Hands-on experience building, testing, debugging, and improving mechanical hardware, • Familiarity with mechanical failure modes linked to wear, alignment, tension, friction, or material handling, • Experience working with cross-functional engineering teams during system integration, • Ability to document technical requirements, test methods, risks, trade-offs, and engineering decisions clearly, • Exposure to production environments, supplier coordination, or manufacturing-oriented design decisions, • Strong communication skills, including the ability to guide others through technical reasoning, • Practical judgement in balancing time, cost, specification, quality, scalability and delivery risk Desirable Skills • Experience handling thin materials, films, webs, tapes, or other mechanically sensitive media·, • Background in precision mechanical systems, motion control, alignment, or positioning mechanisms, • Experience supporting hardware through EVT, DVT, PVT, production readiness, or launch phases, • Previous involvement in quality assurance, reliability, or verification leadership for mechanical systems, • Experience collaborating closely with mechatronics, electronics, firmware, or controls engineers during system development Benefits At HoloMem • Competitive salary, • 25 days annual leave, • Employer pension contributions, • Cycle-to-work scheme, • A collaborative, knowledgeable team working on deeply technical, world-positive problems How to Apply Click apply or send your CV to . Show us what you’ve designed, built, or tested. If you’re excited about the mission, even if you don’t meet every requirement, we’d love to hear from you. HoloMem is an equal opportunity employer. We value diversity and are committed to building an inclusive environment for all.

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. We are looking for the Senior Perception Engineer - Spatial Intelligence to join our team based in London, UK. What You'll Do • Architect the spatial intelligence layer that unifies 3D geometry with semantic scene understanding to ensure safe and efficient navigation and locomotion in complex environments, • Develop advanced 3D spatial reasoning capabilities that provide our robots with long-term persistent spatial memory and a deep contextual awareness of their surroundings., • Own the entire perception lifecycle by training large-scale multimodal networks and deploying and integerating them for ultra-low latency performance on edge hardware, • Bridge the gap between conceptual research and physical reality by implementing state-of-the-art 3D representations that track and interpret the environment state, • Collaborate with cross-functional teams to bridge the gap between large-scale model training and reliable robot integration., • Stay ahead of the field, rapidly evaluate new model architectures, benchmarks, and datasets to guide our embodied AI roadmap What We're Looking For • Exceptional software engineering skills with a proven track record of shipping complex ML systems into production., • Strong background in 3D scene understanding and the design of efficient spatial data structures., • Deep experience in machine learning for vision or embodied AI, ideally with large models (VLMs, transformers, or multi-modal architectures)., • Proficiency in PyTorch and hands-on experience building, fine-tuning, and deploying large-scale ML systems., • High-impact individual contributor capable of taking projects from conceptual research to high-performance robot code., • Comfortable working in a fast-moving, research-driven environment with evolving models, data, and tools. What We Offer • Meaningful time off to rest and recharge: 23 days of annual leave (accrued), separate sick leave, and paid bank holidays and company holidays., • Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support., • Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings., • Free daily breakfast, catered lunch, and snacks in‑office., • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics., • Freedom to influence the product and own key initiatives.

Department Tech Employment Type Full-time, London Office Attendance Expectation Hybrid About the role At &Dine, we’re building a community of food lovers, connecting exceptional independent makers with teams who want better food at work. We’re looking for a Senior Software Engineer who cares about quality, performance, and product impact - someone who enjoys solving real-world problems at scale and shaping how a platform grows, not just writing code. You’ll work across front-end, back-end, and infrastructure, partnering closely with product, operations, and design to deliver reliable, elegant solutions across ordering, payments, logistics, and internal tools. What you'll be doing • Lead development across key product areas from concept to production, • Build high-quality front-end features using a modern JS stack (Vue/Nuxt or similar), • Design and maintain scalable APIs and services in Node.js with SQL/Sequelize, • Mentor junior engineers through code reviews, pairing, and technical guidance, • Help shape our technical roadmap and introduce new tools, frameworks, and practices where they make sense, • Own technical decisions around architecture, performance, and reliability, • Collaborate with product and operations to translate business needs into robust solutions, • Improve system observability, monitoring, and incident response, • Identify technical debt and proactively drive refactors, • Support CI/CD, deployment pipelines, and environment management What we're looking for • Strong experience as a Senior Software Engineer or equivalent, • Proven ability to guide and support junior developers, • Deep knowledge of modern front-end frameworks (Vue, React, or similar), • Solid back-end experience with Node.js and relational databases (Postgres/MySQL) using ORMs such as Sequelize, • Confidence in evaluating and adopting new technologies pragmatically, • A product-led mindset: you care about outcomes, not just implementations, • Comfortable in a fast-moving startup environment, • Clear communicator across technical and non-technical teams, • A genuine interest in food, hospitality, or building better workplace experiences Front-end Experience with some of the following, or a strong willingness to learn: • JavaScript / TypeScript – modern ES standards, async patterns, clean architecture, • Frameworks – Vue / Nuxt (or React / Next.js), component-based development, • State management – Vuex, Pinia, or equivalent patterns, • API integration – REST/JSON, error handling, loading states, • Performance – bundle optimisation, code splitting, rendering strategies, • Accessibility & UX – semantic HTML, responsive design, usability best practice, • Testing – unit and component testing (Jest, Vitest, Testing Library, Cypress/Playwright), • Version control – Git workflows, PR reviews, and collaboration Back-end Experience with some of the following, or a strong willingness to learn: • Node.js – building scalable, maintainable services, • APIs – RESTful design (GraphQL a plus), authentication, validation, rate limiting, • Databases – PostgreSQL / MySQL, schema design, indexing, query optimisation, • ORMs – Sequelize or similar (migrations, associations, transactions), • Business logic – handling payments, scheduling, pricing, permissions, and workflows, • Testing – unit, integration, and API testing, • Security – data protection, authentication, role-based access, and best practices DevOps/Infrastructure Experience with some of the following, or a strong willingness to learn: • CI/CD – GitHub Actions, GitLab CI, or similar automated pipelines, • Cloud platforms – AWS, GCP, or Azure, • Containerisation – Docker and environment configuration, • Deployments – staging/production environments, rollback strategies, • Monitoring & logging – error tracking, performance monitoring, alerting, • Reliability – uptime, backups, and incident response Engineering Practices • Writing clean, maintainable, well-documented code, • Code reviews and constructive technical feedback, • Coaching juniors and helping them level up technically, • Evaluating new technologies and introducing them where they deliver clear value, • Designing systems with scalability, performance, and security in mind, • Pragmatic decision-making in a startup environment Bonus points if you • Have led or owned major product areas or technical initiatives, • Have introduced new tools, frameworks, or processes that improved delivery or quality, • Have experience with Nuxt, server-side rendering, or marketplace platforms, • Have any of the certificates LPIC-1, LPIC-2 or AWS associate, professional or specialist, • Have experience being Security Champion and knowing STRIDE, PASTA and Hybrid, • Have worked on B2B, payments, logistics, or operationally complex systems, • Care deeply about food, hospitality, and how shared meals bring people together Benefits of working at &Dine • Join our options pool and be a business owner!, • £250 learning and development budget. Here we’ve got some courses that may be beneficial to your development at &Dine., • Charlie HR. Secure great offers too from top retailers such as John Lewis and Samsung via our HR Platform., • Enjoy your birthday. Take a day off for your birthday - on us!, • £500 referral bonuses. If you bring in a new face to the business, once they have passed their probation period, you will receive £500!, • Team socials. We’re big foodies, so you’ll be sure to enjoy some food and drink with us, as well as some great activities!, • Work abroad for 1 week

About Executive Channel Network Executive Channel Network (ECN) is a Digital Out-of-Home (DOOH) advertising company operating across the UK, France and Germany. Our premium screen network reaches business audiences in the workplace environments they spend most of their day in. We are a lean, commercially focused organisation, and our technology stack directly underpins the commercial, operational and creative engine of the business. The Role We are hiring a Senior Full-Stack Developer to be the technical backbone of our London operation. You will work directly with the CTO on a defined set of priority projects, but day-to-day you will run your own schedule, make your own technical decisions, and drive projects to completion largely autonomously. This is a hands-on, high-ownership role. It will suit a commercially minded engineer who is equally comfortable refactoring legacy PHP, upgrading Linux servers, cutting responsive HTML5 and CSS from a designer's mockup, and scripting automations that remove friction for Finance, Marketing and Operations. You will also be encouraged and expected to use AI coding tools such as Claude Code to meaningfully accelerate your output - we treat AI-assisted development as a core productivity lever, not a novelty. Key Projects You Will Own 1. SuiteCRM Platform Ownership and Major Version Upgrade Our SuiteCRM instance is central to ECN's sales and operational workflow. You will own it end-to-end: • Ongoing development, customisation and bug fixing of the current SuiteCRM deployment., • Planning and executing an upgrade to the latest SuiteCRM version, including the underlying server infrastructure., • Rewriting and modernising ECN's custom SuiteCRM plugins and bespoke code so they are compatible with the target version., • Establishing a sensible approach to environments, deployment, backups and future upgrade paths so we are never this far behind again. 2. Dynamic HTML5 / CSS Creative Template Stack Our screen network runs off a library of dynamic creative templates. On this stream you will work directly with ECN's Australia-based Content Director, who owns the creative direction and template roadmap, and with our in-house designers on individual builds: • Upgrading our existing dynamic HTML5 and CSS templates to a modern, maintainable baseline, against priorities set by the Content Director., • Building new templates from designer specifications where commercial or creative needs demand it., • Ensuring templates render reliably across the playback environments used on our network., • Comfortable collaborating across time zones — the Content Director is based in Australia, so expect asynchronous working with occasional scheduled calls. 3. Business Automation across Finance, Marketing and Operations ECN's internal teams have real, repeatable processes that are currently manual. You will work with Finance, Marketing and Operations to identify, design and build automations that remove this overhead — from integrations between existing SaaS tools through to bespoke internal utilities. You will be expected to scope, prioritise and ship these in conversation with the CTO and the relevant business owner. How You Will Work • Autonomy first. You will receive direction and feedback from the CTO, but you will be trusted to plan, estimate and deliver under your own steam. If you need a hand-holding environment, this is not the role., • Small, focused team. You will work alongside our Global IT and UK Tech lead in London and a programmatic / content specialist in ANZ. The CTO is actively involved but not a bottleneck., • Pragmatic engineering. We value shipping, maintainability and commercial awareness over architectural purity. We want you to leave the codebase and the infrastructure in better shape than you found them., • AI-assisted development. You will use Claude Code or equivalent tooling as a core part of your workflow. We expect you to have opinions on where it helps, where it doesn't, and how to use it safely on production code. What You Bring Essential • 5+ years of professional software development experience, with meaningful time spent as the senior or lead engineer on a product or platform., • Strong PHP skills and demonstrable experience working inside, customising or upgrading a substantial PHP application (SuiteCRM, SugarCRM, Magento, WordPress at scale, or similar legacy-but-live platforms)., • Comfortable administering Linux servers: MySQL/MariaDB, Apache or Nginx, PHP-FPM, deployment, backups and basic security hygiene., • Fluent in modern HTML5, CSS and JavaScript, with the ability to translate designer output into production-quality, responsive markup., • Track record of building integrations and automations against third-party APIs (finance systems, marketing platforms, internal tooling)., • Active, deliberate use of AI coding assistants such as Claude Code, and the judgement to know when to lean on them and when not to., • Excellent written and spoken English, and the communication skills to work directly with non-technical stakeholders in Finance, Marketing and Operations., • Right to work in the UK. Nice to Have • Direct SuiteCRM or SugarCRM experience, including custom module or logic hook development., • Experience running a major version upgrade of a business-critical legacy system., • Exposure to the Digital Out-of-Home, AdTech or MarTech space., • Familiarity with modern front-end frameworks (React, Next.js) for internal tooling work., • Cloud infrastructure experience (AWS or equivalent), including CI/CD. What Success Looks Like • By month 3: You own the SuiteCRM environment, have cleared the critical bug backlog, and have produced a credible upgrade plan with infrastructure and plugin migration scoped., • By month 6: SuiteCRM is upgraded or well into execution, the dynamic template stack has been modernised, and at least one material business automation is live and in use., • By month 12: You are the trusted go-to engineer for the London business, operating independently against a rolling priority list agreed with the CTO, and measurably improving velocity across the technology function. Why Join ECN • Real ownership: a defined remit with genuine scope, not a ticket queue., • Direct line to the CTO and exposure to commercial decision-making., • A tech function that is being rebuilt — you will have unusual influence over how we work, what we use and what we build., • Competitive London salary with room to grow as the function scales. How to Apply Send a CV and a short note telling us about the most complex legacy system you have modernised, and how you currently use AI tooling in your day-to-day work. We read every application. Executive Channel Network is an equal opportunities employer. We welcome applications from all qualified candidates regardless of background.

Senior Python Engineer | Full Stack | Real-time Data Platform 3 days onsite (nr Oxford) every 6 weeks This is a backend-led full stack role at an early stage technology company building a production grade SaaS platform for real-time data systems and analytics at scale. This is product engineering, not data pipeline work. You will be building customer facing software that runs in production and is used daily by real users. The team is growing fast and the scope is broadening. You will work on customer driven features and also contribute directly to the core platform as the business accelerates through its next phase of growth. You will work primarily in Python, reaching into React on the frontend and working across AWS to ship and support full features end to end. What you will be doing Building backend services and APIs in Python that power customer facing product features Working into React on the frontend to complete features across the stack Using AWS to deploy, support, and evolve production capabilities Contributing to the core platform as the product matures, not just the features built on top of it Collaborating with architecture and platform teams to maintain coherence and quality at pace Taking ownership of reliability, performance, and maintainability in a live SaaS environment What we are looking for 5 or more years building production SaaS systems as a Software Engineer, with a backend focus Strong Python fundamentals with real production experience in a SaaS context Working ability in React or frontend development more broadly Cloud experience, ideally AWS Comfortable in early stage environments where ownership is high and things move fast A production first mindset with a strong sense of software quality Nice to haves Experience in data intensive or real-time systems Exposure to API driven architectures and event driven patterns Previous work on multi-tenant SaaS platforms Salary: £70,000 to £80,000 plus benefits No sponsorship available. Applicants must already be based in the UK and eligible for SC security clearance (min of 5 years working in the UK) Interested? Drop me a message and I will share more context on the business and the platform.

AI Azure Engineer London – 5 days onsite £525 p/d Inside IR35 emagine is a high-end professional services consultancy and solutions firm. Specialising in delivering business and technology services to the financial services sector, we power progress, solve challenges, and achieve real results through tailored, high‑end consulting solutions. We have built a culture of openness and integrity through genuine relationships and strong partnerships. This enables us to remain uncompromising in our commitment to delivering exceptional service for our clients. Equally, we foster a positive and inclusive environment for our consultants and colleagues, grounded in our core values: Confident, Dedicated, Responsible, Genuine. We are seeking the expertise of a Cloud Engineer to support scale and enhance AI-driven services in Azure, particularly for core AI offerings. The individual will leverage expertise from mature environments, especially in banking or financial services, to help navigate and refine the development of existing AI solutions. Responsibilities: * Collaborate with the internal team to optimize and scale existing AI services. * Guide the development of new AI capabilities, particularly in AI search. * Deploy and manage AI solutions on Azure effectively. * Ensure integration between cloud-based AI services and on-premises data sources. * Maintain production-grade services with a focus on operational excellence, including logging and monitoring. Must Haves: * Extensive experience in AI engineering, particularly in building and deploying AI solutions. * Strong knowledge of Azure infrastructure, especially networking and API management. * Proven experience in integrating cloud services with on-premise systems. * Background in banking or financial services. * Familiarity with Azure AI capabilities and services. * Knowledge of operational best practices for cloud services. At emagine We are committed to building an international and diverse team by embracing the differences in our backgrounds. If you are excited by the challenge and want to learn more, get in touch with us today. Our internal recruitment team is always keen to hear from dynamic individuals looking to further their careers and reach their full potential. “emagine is an equal opportunity employer, and employment practices are based strictly on merit. It is the policy of the Company to give equal opportunity in employment regardless of sex, sexual orientation, marital status, race, age, disability, gender reassignment, pregnancy and maternity, religion or ethnic origin.”

Network Engineer Location: London (Hybrid Working) Salary: Circa £78k + bonus + benefits The Opportunity We're partnering with a highly regarded professional services organisation in London to hire an experienced Network Engineer into a key infrastructure role within their IT function. This is a hands-on engineering position within a complex, enterprise-scale environment where you'll take ownership of both operational stability and ongoing network evolution. Key Responsibilities • Take ownership of enterprise LAN/WAN infrastructure, ensuring stability, performance, and scalability across multiple sites, • Support, configure, and optimise Cisco Catalyst (9300) and Nexus switching environments, • Manage and maintain Palo Alto Prisma Access policies and secure connectivity, • Support and administer FortiGate Firewalls, including ongoing threat monitoring and security tuning, • Act as an escalation point for complex network incidents and performance issues, • Work closely with security and infrastructure teams to strengthen network security posture, • Support delivery of network-related changes through both internal teams and external managed service providers, • Contribute to infrastructure projects including office moves, upgrades, and network redesigns, • Produce clear and accurate HLD/LLD documentation to support design and change governance, • Strong background in enterprise networking with a focus on routing and switching (L2/L3), • Solid understanding of BGP and OSPF in production environments, • Hands-on experience with Cisco Catalyst and Nexus platforms, • Exposure to VSS and vPC design/implementation concepts, • Strong working knowledge of enterprise WLAN environments and Cisco Wireless LAN Controllers, • Experience with Network Access Control (NAC), ideally Cisco ISE, • Good understanding of AAA services (RADIUS, TACACS+, 802.1X), • Exposure to Palo Alto Prisma Access and/or FortiGate Firewalls preferred, • Strong troubleshooting skills across complex enterprise networks, • Ability to produce structured technical design documentation (HLD/LLD), • Exposure to Azure networking/hybrid cloud environments

My leading eCommerce client are looking for a talented and motivated individual to drive the development of cutting-edge AI solutions that includes conversational, Agentic AI's. This role focuses on building advanced conversational AI systems, implementation AI Agents across different use cases, implementing sophisticated RAG architectures, and deploying production-grade voice AI applications. This is a newly created role in a rapidly growing business. A brilliant opportunity! The following skills/experience is essential: • Hands-on experience with advanced RAG systems, • Strong experience with LLM technologies, • Agentic AI experience, • Software Engineering background Location: London (good work from home options available) If you are interested in this Senior AI Engineer position and meet the above requirements please apply immediately.

Senior AI Infrastructure Engineer (OpenStack & Kubernetes) Location: Remote (UK or EU Preferred) Sector: High-Performance GPU Cloud Computing The Opportunity I am representing a fast-growing, international scale-up that is building next-generation GPU cloud infrastructure. This company is the powerhouse behind a high-performance platform designed specifically for the most demanding AI, Machine Learning, and HPC workloads. As they scale their global footprint to meet massive demand, they are seeking a Senior Infrastructure Engineer who enjoys deep technical autonomy. This is a role for a specialist who wants to move fast, solve complex problems, and have direct ownership over the stability and scalability of business-critical systems. What You’ll Be Doing • Owning Infrastructure: Designing, deploying, and operating OpenStack and Kubernetes clusters optimized for multi-tenant GPU workloads., • Driving Automation: Building and maintaining infrastructure-as-code and GitOps practices to ensure seamless scalability., • Optimizing Performance: Enabling reliable workload scheduling through Kubernetes-native tooling, container runtime optimization, and NVIDIA integrations., • Ensuring Resilience: Maintaining high availability and observability through proactive monitoring, logging, and incident response., • Strengthening Security: Implementing strong controls, including RBAC and network policies, to ensure tenant isolation., • Cross-Team Collaboration: Working closely with DevOps, AI, and Product teams to align infrastructure capabilities with customer needs. The Ideal Profile • OpenStack Expert: Significant hands-on experience operating OpenStack in a production environment., • K8s Specialist: Strong experience running production-grade Kubernetes, ideally in bare-metal or private cloud setups., • Systems Generalist: A solid grounding in Linux, networking, and storage with a practical approach to troubleshooting., • Modern Workflows: Experience with infrastructure automation, CI/CD, and Git-based workflows., • Scale-up Mindset: The ability to thrive in a fast-moving environment with a strong sense of accountability. Nice to Have • Exposure to GPU-based infrastructure, large-scale compute platforms, or HPC., • Familiarity with advanced networking technologies., • Contributions to open-source or cloud-native communities. What’s on Offer? • Impact: The opportunity to make a visible, meaningful impact on a platform used by teams running compute-heavy applications., • Flexibility: Flexible working arrangements, including remote or hybrid options., • Growth: Clear career progression and the chance to help shape the company's culture and future., • Culture: A collaborative, transparent, and international culture built on trust., • Benefits: Competitive salary, annual discretionary bonus, 25 days holiday (plus public holidays), and wellbeing benefits.

Location: London (hybrid) Level: Director Reporting to: VP of Engineering The company This is a well-funded, fast-growing B2B SaaS company that's become one of the most talked-about in its space. They've hit unicorn status and are now in the middle of a significant scaling phase — the engineering org is ~50 people today and is expected to grow to 150+ over the next 12 months. The product is used by some of the world's fastest-growing companies. The team is distributed across the UK and Europe, with a strong technical bar and a no-nonsense engineering culture. People here came from Google, Meta, Vercel, and high-growth scaleups. The VP of Engineering spent 9+ years at Google managing infrastructure teams at significant scale before joining at an early stage. This is not a corporate environment. Founders are hands-on, technical, and have high standards. The people who thrive here have opinions, make decisions, and lead from the front. The role You'll be joining as one of two Engineering Directors, sitting between the VP of Engineering and a layer of engineering managers who each lead autonomous product squads. You'll own a significant portion of the engineering organisation and be accountable for how it performs, scales, and grows. This is a player-coach role in the truest sense of leadership — not hands-on coding, but close enough to the technical work that you can hold your own in a systems design conversation, challenge architectural decisions, and earn the respect of strong engineers. What you'll be doing: • Managing a set of engineering managers and senior ICs, acting as their line manager, coach, and technical sounding board, • Owning the health and output of multiple product squads — delivery, quality, morale, and hiring, • Partnering with the VP of Engineering on org design, technical strategy, and how engineering scales from here, • Driving hiring across your org — you'll be building something meaningful over the next 12 months, • Feeding into cross-functional decisions alongside product, design, and go-to-market leadership, • Being the person who makes the call when things are ambiguous, moves fast when speed matters, and is comfortable having hard conversations What we're looking for Must-haves: • Experience managing engineering managers (not just individual contributors) — you've operated a layer of abstraction above the squads, • A background that combines time at a well-engineered large company and time at a high-growth B2B SaaS scaleup — you understand both how great engineering is built and what it takes to ship fast with limited resources, • The technical depth to do a credible systems design conversation — you don't need to write production code but you need to understand the tradeoffs engineers are making, • Experience in the 50–200 engineer range — you've either been through a scaling journey like this or are close enough to it that you understand what breaks and why, • Comfortable with ambiguity, fast-changing priorities, and a culture where the people above you are also deeply capable Strong signals: • B2B SaaS domain experience — RevOps, developer tooling, or anything close to the product surface, • You've hired well at pace — you know what great looks like and you can move quickly to close, • You've let people go when it was the right thing to do, • You've worked in a distributed team and made it work, • You're the kind of person who's done their research before walking into a room Not a fit if: • You're looking for a quiet, process-heavy environment, • Your default mode is "let me set up a committee", • You describe your leadership style primarily as "servant leader" and leave it there, • You haven't been close to the technical work in several years The interview process • Track record conversation (45 min, remote), • Incident response / technical leadership (45 min, remote) Compensation Competitive base salary, meaningful equity, and benefits. Range discussed on first conversation.

Join Toptal’s Elite Network of Freelance Talent Toptal is an exclusive network of the world’s top freelance software developers, designers, finance experts, product managers, and project managers. As one of the fastest-growing fully remote networks globally, we empower professionals to thrive in their freelance careers while working with leading companies around the world. About the Client Our client is an American global digital sports platform. They are a creative production company specializing in high-quality prepress and print services, operating across multiple time zones to support global clients with advanced hybrid cloud workflows and cutting-edge production technology. Role: Prepress Systems Engineer A hands-on Prepress Engineer providing daily technical support for prepress workstations and production tools across a hybrid cloud environment, supporting teams in both US West Coast and UK time zones. Responsibilities • Provide daily technical support for all prepress workstations, software, and production tools, • Maintain, monitor, and escalate issues related to prepress applications, including Adobe Creative Suite, PitStop, GMG, etc., • Troubleshoot file sync issues with LucidLink and Adobe integrations, • Handle L1 support tasks, including access provisioning, role assignments, and drive connections, • Assist with user requests, job setup issues, and workflow bottlenecks, • Support rollouts of new technology and conduct user training sessions, • Document updates, resolutions, and standard operating procedures to enhance team efficiency, • Collaborate with IT, Engineering, and Production teams when cross-department support is required Key Skills & Technologies • Working experience with Adobe Creative Suite (InDesign, Photoshop, Illustrator), • Any experience with prepress workflow software such as Acrobat Pro, Enfocus PitStop, and Prinergy, • Proficiency supporting macOS-based and Windows production workstations, • Hands-on experience with hybrid cloud workflows and LucidLink, • Ability to quickly diagnose system issues and clearly communicate solutions to non-technical users, • Excellent verbal and written communication skills for client and team interaction, • Availability to support teams either across US West Coast OR UK time zones Additional Details • Time-zone: 4 hours of overlap with US West Coast or UK time zones, • Type: Full-time contract, • Duration: 12+ months, • Remote: Hybrid (on-site every other week in London), • Authorization: Applicants must be authorized to work in their country of residence without employer sponsorship

Quality Manager – CNC Machining / Aerospace – £60,000 Location: Hertfordshire Full-Time, Permanent Salary: Circa £60,000 The Opportunity A well-established and growing subcontract precision engineering business (circa 35 employees) is seeking a Quality Manager to lead its quality function. The company supplies high-precision CNC machined components into highly regulated sectors, including aerospace and defence, and is looking for a hands-on leader to drive quality standards, improve systems, and embed a right-first-time culture across the shopfloor. You will take full ownership of Quality and lead a small team of: • Quality Engineer, • Goods In / Out Inspector, • Inspector The Role This is a key leadership position within the business, responsible for maintaining and developing the Quality Management System while acting as the escalation point for all quality-related matters. You will be highly visible across the operation, working closely with Production and Engineering to ensure processes are robust, repeatable, and aligned to customer and regulatory requirements. Key Responsibilities • Lead and continuously improve the Quality Management System in line with AS9100/ISO standards, • Manage internal, customer, and third-party audits, ensuring effective and timely close-out of actions, • Act as the escalation point for non-conformances, leading root cause analysis (8D, 5 Why, Fishbone) and corrective actions, • Oversee all inspection and verification activities, including FAIRs, production inspection, and CMM/metrology capability, • Implement and drive key quality metrics including scrap, rework, customer returns, and OTIF performance, • Manage supplier quality, ensuring compliance, traceability, and flow-down of requirements, • Maintain robust document control and quality record systems, • Work cross-functionally to ensure manufacturing processes are stable, measurable, and repeatable, • Drive continuous improvement and introduce more effective, data-driven and digital quality processes, • Promote a strong quality culture through leadership, coaching, and shopfloor engagement About You • Proven experience as a Quality Manager within CNC machining or precision engineering, • Strong knowledge of FAIR/FAI, traceability, non-conformance systems, and metrology, • Able to read and interpret engineering drawings and GD&T, • Experience working within AS9100 or similarly regulated environments, • Confident communicator, able to engage with shopfloor teams, customers, and auditors, • Hands-on, pragmatic approach with a focus on continuous improvement Desirable • Lead or Internal Auditor qualification (ISO9001 / AS9100), • Engineering qualification (HNC / HND / Degree), • Experience with Lean or Six Sigma, • Background in aerospace, defence, or other regulated industries Why Apply • Senior role with full ownership of the quality function, • Stable SME environment with strong industry positioning, • Opportunity to make a visible impact and drive improvements, • Close-knit team with real autonomy, • Early finish every Friday If you are a hands-on Quality Manager looking for a role where you can genuinely influence standards, systems, and culture, apply now.

Platform/DevOps Engineer Role - GCP.. We’re looking for a hands-on Platform / DevOps Engineer with deep experience running production workloads on Google Kubernetes Engine (GKE). This role is for someone who enjoys building, automating, and operating cloud-native platforms - not just designing them. You’ll own Kubernetes infrastructure end to end: provisioning, CI/CD, deployments, service mesh, and day-to-day operations in a modern GCP environment. Responsibilities: Design, build, and operate GKE clusters in production environments Automate cloud infrastructure on GCP using Terraform Build and maintain CI/CD pipelines for Kubernetes-based deployments Implement and manage Istio service mesh for traffic management, security, and observability Support containerized microservices at scale Required Skills & Experience (Must-Have) • Strong hands-on experience with GKE in production, • Solid Kubernetes fundamentals (networking, RBAC, scaling, troubleshooting), • Experience working in Google Cloud Platform (GCP), • Infrastructure as Code using Terraform, • CI/CD experience with Harness, • Strong GitHub workflow experience (PRs, branching, automation), • Experience with Istio Service Mesh (traffic routing, mTLS, canary/blue-green deployments), • Deep understanding of containers and cloud-native architectures £500 per day - 6 Month Contract Office Locations: Bristol, Leeds, Halifax, Manchester, Edinburgh

🚀 Hiring: Forward Deployed Engineer (Fully Remote across the UK) I’m partnering with a leading Revenue Ops platform transforming the commercial insurance space with a cutting-edge AI system that pulls from hundreds of data sources to modernize underwriting. 💰 $180M funded (Series A–D) 📈 7-figure recurring revenue 🌎 Fully remote 🧠 World-class engineering team This is a high-impact, customer-facing engineering role where you’ll architect and build custom solutions directly with enterprise clients. You’ll be writing production code, owning implementations end-to-end, and shaping long-term customer success. Must have experience: • BS in Computer Science, • Strong programming skills + SQL (live coding interview, no AI allowed), • Currently shipping production code, • Experience leading complex B2B SaaS implementations, • Forward Deployed / Solutions Engineering background, • 6+ years of experience, • Startup experience (Seed- Series E) Compensation is flexible and tailored to experience — we’re open to candidate expectations Fully remote across the UK

Lead / Founding Engineer (Stealth Consumer Startup) We’re currently partnered with a stealth, early-stage consumer startup building a new interactive web platform. They’re looking for a Lead / Founding Engineer to join at an early stage and take ownership of building the product from the ground up. This is a hands-on role suited to someone who enjoys working from 0 → 1 and wants to play a key role in shaping both product and technical direction. What you’ll be doing • Building and shipping the core product across the full stack, • Turning an early prototype into a scalable, production-ready platform, • Working closely with the founder on product decisions and UX, • Designing and implementing core backend systems and user-facing features, • Integrating third-party services and lightweight AI functionality where relevant What they’re looking for • Strong full-stack engineering experience (modern JS frameworks, APIs, databases), • Comfortable owning the entire stack end-to-end, • Product mindset — able to think beyond just implementation, • Experience building and shipping real products, • Self-starter who thrives in early-stage, ambiguous environments Nice to have • Experience with consumer-facing products, • Experience building interactive or data-driven platforms, • Familiarity with AI APIs and integrations Why this role • Opportunity to join at a very early stage as a key technical hire, • High ownership and direct impact on product direction, • Small, fast-moving team, • Clear pathway to evolve into a long-term founding role with meaningful equity Further details on application.

Product Engineer | Product Engineer (Full Stack) | React & Python | Product Engineer 💰 Up to £90,000 + equity 📍 Hybrid | London Victoria 💻 React, Next.js, TypeScript, Python 🚀 AI-native startup | Early-stage | Real ownership We’re working with an early-stage, VC-backed startup building the AI layer for conveyancing. Right now, a single property transaction can take around 16 hours of manual legal work. Their goal is to automate 80% of that, bringing it down to 3/4 hours through AI and workflow automation. They’re at a genuinely interesting point - the product is live, FCA approval is close, and they already have referral partners lined up. This isn’t an idea-stage startup, it’s about to hit the market. The Role – Product Engineer They’re hiring a Product Engineer to join a small founding team (currently 4 engineers, scaling to 8). This is a proper Product Engineer role where you’ll be building the core product end to end — not just shipping tickets. As a Product Engineer, you’ll work closely with founders and domain experts to turn complex, messy workflows into clean, intuitive user experiences. You’ll be: • Building full stack as a Product Engineer using React, TypeScript and Python, • Owning features end to end, from idea through to production, • Translating real-world problems into scalable workflows, • Working directly with users and stakeholders to iterate quickly, • Using modern AI tools as part of your day-to-day workflow From a tech perspective, this is genuinely AI-native. They’re building agent-style systems on top of foundation models, not just layering AI onto an existing product. What They’re Looking For in a Product Engineer • 3+ years building modern web applications, • Strong frontend experience with React / Next.js and TypeScript, • Comfortable working full stack, with Python on the backend, • A product mindset, you care about UX, detail, and how things feel to use, • Experience in startup or fast-moving environments, • Strong problem-solving skills and ability to work with ambiguity Nice to have: • Experience with LLMs, AI tools, or automation workflows, • Experience building 0→1 products Why This Product Engineer Role • Early Product Engineer hire in a high-potential, AI-native startup, • Real ownership and ability to shape the product, • Strong founding team with a track record of building and scaling businesses, • Equity on offer, • Opportunity to build something genuinely impactful from the ground up If you’re a Product Engineer who enjoys building from scratch and owning what you ship, apply or reach out for more details. Product Engineer | Product Engineer London | Full Stack Product Engineer | React | TypeScript | Python

Senior Platform Engineer (Go/Rust) - Remote (UK) £90–100k + equity 30 days holiday Our client is a UK startup building a low-code modelling platform designed to replace spreadsheet-driven workflows for SMEs. Founded by the entrepreneur behind one of the world's most influential enterprise planning platforms (acquired for ~$8bn), the mission is to bring that same power to businesses that have been underserved by tooling for too long. Pre-commercial launch. Greenfield infrastructure. Real stakes. The technical challenge You'll be building and owning the production infrastructure for a multi-user distributed system from the ground up. That means designing for debuggability and observability from day one, not bolting it on later. Core remit includes scalable multi-environment Terraform, secrets management, gradual deployment practices (blue/green), and the ability to spin up full environment copies for testing. An AI/multi-agent infrastructure component is on the near-term roadmap. The stack IaC Terraform + Terragrunt Helm / Kubernetes AWS Observability Prometheus / Grafana Auth0 Rust / Golang NoSQL What they're looking for • Production experience with Terraform, Helm/Kubernetes, AWS networking, and debugging multi-service systems, • Observability tooling, secrets management, and authentication services in real production environments, • Comfortable operating in a distributed, multi-user system with a strong sense of end-to-end ownership, • Rust familiarity is a bonus, backend services are written in it and there's scope to contribute at that layer Engineering culture This is a team that treats design decisions as seriously as code; options are documented, tradeoffs are considered at codebase level, and mature judgment is valued over ticket throughput. Engineers own problems end-to-end and communicate proactively. Interested? Please reach out!

Platform Engineer | London | Up to £120,000 I’m working with a fast-scaling AI company who just raised 75M in the Series A and already working with some of the most recognisable organisations in the world. They’re building an AI-native workspace that’s changing how enterprises operate, with live deployments already proving real impact. They’re now looking for a experienced Platform Engineer to join their London team. This is a chance to work directly with a proven founding team (multiple successful exits) and play a key role in building production-ready AI systems used globally. The Role The company is growing quickly, and the infrastructure needs to grow with it. They are looking for a Platform Engineer who has done this before , someone who can architect cloud systems from the ground up, keep them secure and audit-ready, and give the engineering team the tooling they need to ship fast and ship confidently. If you love owning things end-to-end, this one's for you. What You'll Own • Design, build, and evolve our cloud infrastructure to keep pace with rapid product growth, • Lead SOC 2 / ISO 27001 audit preparation, turning compliance into a competitive advantage, • Build and maintain robust CI/CD pipelines across backend, frontend, and data services, • Establish company-wide observability — logging, metrics, tracing, alerting, and on-call culture, • Take ownership of cloud cost management, optimising spend without compromising performance, • Champion operational excellence across the engineering org What You'll Bring Technical • Cloud & IaC: Azure (AWS a bonus), Terraform, AKS / Kubernetes, Docker, GitHub Actions, • Observability: Hands-on experience with logging, metrics, and distributed tracing frameworks, • Security: Secrets management, security scanning, and infrastructure hardening best practices, • Networking: VPCs, DNS, load balancers, VPNs, firewalls — you know your way around, • Data: Provisioning and scaling production-grade PostgreSQL, MySQL, NoSQL, and blob storage, • Scripting: Strong Python or Bash for automation and internal tooling What’s On Offer • Competitive salary + meaningful equity, • Work directly with a world-class founding team, • Opportunity to shape the platform as they expand globally, • High-energy, ambitious, and collaborative culture This won’t be easy, priorities shift, timelines are ambitious, and expectations are high. But if you’re looking to be part of something career-defining and at the forefront of applied AI, this could be the right move. If this sounds interesting please get in touch, as they are very active in the hiring process! Thanks Keanu

Location: UK (Remote) Reports to: Chief Technology Officer Salary: £50,000 – £60,000 per annum, plus benefits Contract: Full-time, permanent About MedLink MedLink Solutions is a UK-based healthtech company providing clinical management software to general practice. Our platform is currently used by approximately 300 GP practices and supports the care of over three million patients across the United Kingdom. The platform manages patient monitoring for long-term medications, scheduled health reviews for chronic conditions, automated clinical workflows, and integrations with the major UK clinical systems including EMIS, Vision, and SystmOne. We are a profitable, growing company with a clear product roadmap and a meaningful impact on patient care. The Opportunity We are seeking an experienced Senior Full-Stack Engineer to join our engineering team, reporting directly to the Chief Technology Officer. The successful candidate will play a significant role in shaping the product as we grow. The role offers substantial autonomy and responsibility. The successful candidate will be expected to take ownership of features and initiatives end-to-end, from initial scoping through to deployment and ongoing maintenance. This is not a position suited to engineers who require detailed specifications or extensive supervision; we are looking for a self-directed professional capable of identifying problems, proposing solutions, and delivering them to production. Key Responsibilities • Design, build, and ship new product features in close collaboration with the CTO., • Investigate, diagnose, and resolve production issues with a focus on rapid turnaround., • Identify opportunities for technical and operational improvement across the codebase, and implement them proactively., • Take ownership of features end-to-end, including production support and post-release iteration., • Provide technical support directly to client practices where required, including investigating reported issues, communicating clearly with non-technical users, and delivering timely fixes., • Contribute to architectural and engineering decisions across the platform., • Maintain high standards of code quality, testing, and written documentation. Required Experience and Skills Candidates must demonstrate the following: • A minimum of five years’ experience building and maintaining production web applications., • Strong proficiency in PHP, with substantial commercial experience using the Laravel framework., • Strong proficiency in JavaScript, with substantial commercial experience using Vue.js., • Solid working knowledge of MySQL, including schema design, query optimisation, and migration management., • Experience with Git and modern collaborative development practices., • A demonstrable track record of owning features end-to-end and being directly responsible for code in production., • Excellent written and verbal communication skills, including the ability to communicate effectively with non-technical users when investigating and resolving client-reported issues., • The ability to work effectively in an asynchronous, remote-first environment., • The right to work in the United Kingdom. We are not in a position to sponsor work visas at this time. Use of AI Development Tools The use of AI-assisted development tools, in particular Claude Code, is integral to how we build software at MedLink. We do not regard these tools as optional or supplementary; they are a core part of our engineering workflow. Candidates should have meaningful, hands-on experience using AI coding assistants as part of their day-to-day development practice and should be able to articulate how these tools have changed the way they design, write, and review code. Candidates who have not yet incorporated such tools into their workflow, or who regard them sceptically, are unlikely to be a good fit for this role. Desirable Experience The following are not strictly required, but candidates who can demonstrate them will be at an advantage: • Experience with Inertia.js / Bootstrap CSS., • Prior experience working in healthcare, NHS-adjacent, or other regulated industries., • Experience providing technical support to non-technical end users., • Experience building and operating multi-tenant SaaS applications., • Experience integrating with complex or imperfectly documented third-party APIs., • Familiarity with Laravel Horizon, Redis, and queue-based architectures. What We Offer • Fully remote working within the United Kingdom., • Direct involvement in product and technical decisions, with meaningful influence on how the platform evolves., • A small, focused team without unnecessary bureaucracy or process overhead., • Substantive, real-world impact on patient care across the UK., • Pension, holiday allowance Application Process To apply, please submit your CV together with a brief covering note (no more than a few paragraphs) addressing the following: 1. A piece of work you have shipped to production that you are particularly proud of, and your specific contribution to it., 2. How you currently use AI development tools in your work, and how this has changed your approach to building software. Applications should be sent to . Our interview process consists of an initial screening call, a technical exercise, a technical deep-dive discussion, and a final conversation focused on working style and team fit. References will be requested prior to any offer being made. We aim to complete the process within three weeks from initial contact.

Senior Research Engineer – Deep Learning & Time Series About the Role My client are a forward-thinking financial organisation looking for a Senior Research Engineer to own the machine learning strategy end to end. This is a rare opportunity to shape the AI direction from the ground up, from research through to production with direct visibility at the leadership level. What You'll Do • Define and lead the deep learning research agenda, with a focus on time series modelling in financial markets, • Take models from research hypothesis all the way to production-grade, monitored systems, • Evaluate and apply cutting-edge academic research to real-world financial problems, • Work closely with quant researchers, engineers, and senior stakeholders to embed ML into core decision-making, • Help build and mentor a growing research team Requirements • Published research in peer-reviewed venues such as IEEE, ICML, NeurIPS, ICLR, or equivalent, • Deep expertise in time series modelling - financial data experience strongly preferred, • Proven end-to-end ML experience: data pipelines, model development, deployment, and monitoring, • Strong Python and ML engineering skills (PyTorch or JAX), • PhD in ML, Statistics, Computer Science, or related field (or equivalent research output), • Ability to communicate complex ideas clearly to both technical and non-technical audiences Nice to Have • Experience in asset management, hedge funds, or quantitative trading, • Contributions to open-source ML projects, • Prior tech lead or mentorship experience What's on Offer • Full ownership of ML strategy from day one, • Dedicated time and support for continued research and publishing, • Competitive base, performance bonus, and equity, • Hybrid working, flexible culture, and access to institutional-grade data and compute

🚀 Principal Software Engineer – Platform / Distributed Systems - GO/Python Location: London (Hybrid – 3 days on‑site) Salary: £130,000 – £170,000 + ~15% bonus I’m recruiting on behalf of a high‑growth, product‑led technology company operating at the intersection of cloud software, distributed systems, robotics, and AI‑enabled workflows. Their platform underpins mission‑critical environments where reliability, performance, and scalability genuinely matter. This is a top‑end technical leadership role for someone who wants real architectural authority, hands‑on impact, and influence over both technology direction and senior engineers. The role As Principal Software Engineer, you’ll act as the technical backbone of the organisation – defining architecture, setting engineering standards, and guiding platform evolution as the product scales into a multi‑product ecosystem. You’ll remain deeply technical while leading other senior and staff‑level engineers, shaping decisions that affect customers, delivery teams, and long‑term platform stability. This role reports into senior leadership (product‑aligned) and offers a clear growth path for someone with CTO‑adjacent capability who still wants to build. What you’ll be doing • Owning and evolving end‑to‑end platform architecture, • Acting as the final technical authority on core design, patterns, and tech choices, • Designing scalable, resilient, cloud‑native systems that interface with real‑world / edge constraints, • Mentoring and influencing Staff and Senior Staff Engineers (approx. 6 direct, ~16 indirect), • Driving improvements in engineering pace, reliability, and delivery quality, • Partnering closely with product and customer‑facing teams to translate vision into executable systems, • Remaining hands‑on where it matters: core services, critical designs, prototypes, • Shaping pragmatic use of data and AI capabilities within production systems (no hype‑driven experimentation) What they’re looking for • Extensive experience in backend / platform software engineering, • Strong Golang experience, with comfort in Python‑based systems, • Deep understanding of cloud‑native environments (Kubernetes, Docker, CI/CD, IaC, security), • Experience leading and influencing senior technical talent, • Prior experience as a Principal Engineer, startup CTO, or equivalent is highly desirable, • Someone who balances strong technical conviction with pragmatism and commercial awareness Why this role stands out • Genuine platform ownership (not advisory, not ceremonial), • Complex, meaningful engineering challenges, • Real‑world impact across science, healthcare, and automation, • Strong alignment between product and engineering, • Visible influence across senior leadership, • Clear runway into broader technical leadership as the business scales If you’re a principal‑level engineer who still enjoys being hands‑on, thrives in ambiguity, and wants to shape a platform that genuinely matters, apply and lets'shave a confidential conversation.

Job: Senior Python Quant Developer – Pricing & Analytics Location: London, UK Hybrid working – 2 to 3 days on-site (Canary Wharf) Full time Who We Are Looking For * • 6+ years’ experience as a Quant Developer or Quant Engineer within an investment bank or similar financial institution, • Proven exposure to front-office pricing, risk, or analytics platforms (Rates, FX, Equities, Credit, or XVA), • Experience working closely with traders, quants, and risk teams in a production environment, • Strong academic background in Mathematics, Physics, Engineering, or Financial Engineering Your Technical Competencies * • Advanced Python development (object-oriented design, performance optimisation, testing), • Hands-on experience with pricing models, risk analytics, or P&L systems, • Strong understanding of numerical methods, statistics, and financial mathematics, • Experience with SQL and data-intensive systems, • Familiarity with distributed systems, APIs, and cloud environments is a plus, • Exposure to C++ or other low-level languages is advantageous Your Ideal Behavioural Traits * • Comfortable operating in a front-office, fast-paced environment, • Strong ownership mindset with the ability to deliver under pressure, • Clear and confident communicator with technical and non-technical stakeholders, • Collaborative and able to bridge the gap between quantitative and technology teams Your Ideal Personality Traits * • Curious and analytical, with a passion for financial markets and quantitative problem-solving, • Detail-oriented while maintaining a pragmatic, delivery-focused approach, • Proactive, self-motivated, and comfortable working with minimal supervision, • Resilient and adaptable in a constantly evolving trading environment Your Responsibilities * • Design, build, and maintain Python-based pricing and analytics libraries used by front-office teams, • Implement and optimise models supporting risk, valuation, and P&L analysis, • Ensure robustness, scalability, and performance of production systems, • Partner with traders, quants, and risk teams to deliver high-impact solutions, • Contribute to the evolution of quantitative platforms and best engineering practices Who We Are Our Expertise We provide high-impact consulting across five key domains: * • Quantitative Finance — Model design, implementation and validation., • Risk & Regulatory — Risk frameworks and regulatory transformation., • Data & AI — Data optimisation and AI adoption with strong governance., • Digital & Technology — Cloud, engineering, automation and digital solutions., • Transformation — Change management and large-scale delivery programmes. Our Commitment Built on excellence, collaboration and innovation, Quanteam partners with clients to strengthen resilience, accelerate transformation and build future-ready capabilities.

Role: Data Engineer – GCP & ETL (Banking Domain) Location: Canary Wharf, London, UK Employment Type: Permanent-Full time Mode of working: Hybrid (2 days/week onsite) Role Overview We are looking for a hands-on Data Engineer with strong experience in Data Engineering, ETL development, and the Google Cloud Platform (GCP), preferably within the banking or financial services domain. The ideal candidate should have practical experience in building and maintaining scalable data pipelines, working with large datasets, and supporting cloud-based data integration and transformation initiatives in enterprise environments. This is a pure engineering role and not suited for Architect or managerial profiles. Key Responsibilities • Design, develop, and maintain scalable ETL and data pipelines on GCP., • Work with structured and unstructured datasets from multiple source systems., • Develop and optimize cloud-based data processing solutions., • Perform data ingestion, transformation, validation, and cleansing activities., • Collaborate with business, analytics, and technology teams to support data initiatives., • Ensure data quality, security, governance, and compliance standards are maintained., • Troubleshoot and resolve production issues related to data pipelines and integrations., • Support batch and real-time data processing requirements. Required Skills • Strong understanding of Data Engineering concepts and ETL methodologies., • Hands-on experience with GCP-based data engineering solutions and services., • Strong SQL and data manipulation skills., • Experience with Python, Java, or Scala., • Experience in building and maintaining scalable data pipelines., • Good understanding of data warehousing and distributed data processing concepts., • Familiarity with cloud-based data architectures and processing frameworks., • Experience working in Agile delivery environments. Preferred Skills • Experience within Banking or Financial Services domain., • Exposure to real-time or streaming data processing., • Understanding of data governance and regulatory compliance requirements., • Familiarity with CI/CD and version control tools

Podcast Video Editor & Engineer | Podcast House About the Role Podcast House is looking for a highly skilled Podcast Video Editor & Engineer to join our growing team. This is primarily an editing-focused role, ideal for someone with strong creative instincts, advanced post-production skills, and experience creating engaging podcast and social-first content. Alongside editing, you’ll also support and operate podcast recording sessions within our studio spaces. We’re looking for someone who is confident in post-production, understands visual storytelling and pacing, and can bring podcasts to life through high-quality edits, motion graphics, VFX, and creative polish. This is a full-time, office-based role working from our Farringdon studio five days per week. Role Overview • Lead on editing long-form podcast episodes and social content, • Create engaging edits using motion graphics, subtitles, VFX, and visual storytelling, • Support and operate studio recording sessions when required, • Work closely with clients and the internal team to deliver polished, high-quality content, • Contribute creatively to improving content style and workflows What You’ll Be Doing • Edit full-length podcast episodes and short-form social cutdowns, • Apply motion graphics, VFX, subtitles, colour grading, sound polish, and creative enhancements, • Create engaging social-first content optimised for platforms such as Instagram, TikTok, LinkedIn, and YouTube, • Organise and manage media, project files, and delivery workflows, • Support podcast recording sessions including cameras, audio, lighting, and studio setup, • Help ensure a smooth, professional client experience in-studio What We’re Looking For • Strong editing portfolio/showreel (essential), • Excellent editing skills with strong pacing and storytelling ability, • Experience with motion graphics and VFX, • Advanced skills in Premiere Pro and/or DaVinci Resolve, • After Effects experience highly desirable, • Some experience with cameras, audio, and studio production, • Comfortable working in a fast-paced, creative, client-facing environment, • Comfortable working in-office at our Farringdon studio five days per week What We Offer • Work with exciting podcasts, brands, and media professionals, • A fast-growing creative production environment, • Opportunity to shape creative output and workflows, • Variety across editing, production, and studio operations Salary £30,000 – £40,000 depending on experience To Apply Please send: • Your CV, • Portfolio/showreel, • A short introduction about yourself to Subject Line: Podcast Video Editor & Engineer Application Please also take a look at our website before applying: podcasthouse.co.uk

Senior Platform Engineer (GCP/Kubernetes/Terraform) - Hybrid (London - 2/3 days onsite per week) - (£500-600/DAY OUTSIDE IR35) We are currently supporting a cutting-edge AI software company scaling their platform infrastructure across enterprise clients in highly regulated environments. They’re looking for a Senior Platform Engineer to join on a subcontractor basis as the first dedicated infrastructure hire, helping build and automate a secure, multi-tenant cloud platform from the ground up. Tech Stack: • GCP/GKE, • Kubernetes, • Terraform, • Helm, • Docker, • CI/CD, • IAM/Security/Observability Key Experience: • Production-grade Kubernetes platforms, • Multi-tenant infrastructure, • Infrastructure as Code, • Secure enterprise SaaS deployments, • Monitoring, scaling & automation, • Strong cloud security fundamentals Hybrid/Remote – preference for London-based engineers 6-month initial contract with high likelihood of extension £500–600/day Outside IR35 Great opportunity for an experienced platform engineer who enjoys solving complex infrastructure and security challenges within AI/LLM environments.

Lead Machine Learning Engineer Location : London Days in office : 2 days onsite Contract length : 6 months Contract engagement: inside IR35 We are looking for a Lead Machine Learning Engineer (SageMaker, MLOps, Explainability) to design, build, and productionise machine learning models that power our new matching platform. You will work across the full ML lifecycle - feature engineering, model development, training pipelines, deployment automation, inference optimisation, monitoring, and explainability. In this role, you will make strong hands-on technical contributions, take ownership of key components of the ML platform, and collaborate closely with data scientists, platform engineering, and product teams. You will help improve our MLOps practices, enhance observability, and ensure that our ML systems meet standards for security, performance, and compliance. This role is suited to an experienced engineer who can deliver production-grade ML systems, influence design decisions, and maintain high technical standards, while still working primarily as an individual contributor. Feature Engineering • Build and maintain scalable feature pipelines within data lakehouse architectures., • Develop fallback feature flows (e.g., export paths)., • Develop ranking, scoring, and entity-similarity models fit for the matching platform., • Implement calibrated confidence scores, thresholds, and model scoring logic., • Use modern ML Model frameworks such as PyTorch, TensorFlow, or XGBoost. • Apply SHAP or similar techniques to generate interpretable model explanations., • Produce reason codes suitable for business, operational, or regulatory consumption., • Ensure explainability outputs are versioned, tested, and integrated into inference workflows. ML Deployment & MLOps • Build and maintain training, processing, and inference pipelines using AWS SageMaker., • Integrate models with model registries and implement automated deployment patterns., • Support rollback and redeploy mechanisms for weight updates or model iterations., • Deploy and optimise low-latency, real-time inference endpoints., • Implement secure AWS IAM patterns supporting cross-account inference access., • Build telemetry for request logging, performance tracking, and latency monitoring., • Implement feature drift and concept drift monitoring., • Build dashboards, alerts, and critical performance metrics to detect model degradation., • Apply procedures for data handling, encryption, PII minimisation, and auditability., • Produce Model Cards, documentation, and lineage artefacts needed for governance., • Conduct validation of models using golden datasets, baseline tests, and regression testing., • Optimise models for latency-sensitive inference paths., • Strong experience delivering production ML systems end-to-end., • Proficiency with AWS SageMaker (training jobs, processing, endpoints, Model Registry)., • Excellent Python skills and experience with ML Models such as PyTorch, TensorFlow, or XGBoost., • Hands-on experience with model explainability tools such as SHAP., • Understanding of low-latency, real-time inference patterns and optimisation techniques., • Experience implementing drift detection, monitoring, and telemetry., • Working knowledge of ML governance, data privacy, and secure ML practices., • Experience working with feature stores or Lakehouse data architectures., • Previous experience with ranking, matching, or similarity models., • Familiarity with cross-account AWS IAM patterns and multi-account design., • Bachelors in a STEM subject, e.g. mathematics, physics, engineering, computer science, or adjacent, • degrees.

Python Engineer – Asset Manager (Contract, Remote) An asset manager is running several automation initiatives across their business and are looking for a Python Engineer to assist in the build of an application and data platform. You will work across several middle and back-office systems areas, building enterprise-grade production applications and data pipelines in Python. • 4+ years in Python developing enterprise production-grade applications/systems within financial organisations, • Exposure to financial products and their trade lifecycle (equities, fixed income), • Modern data architecture understanding (Snowflake ideal but not required), • Strong communication skills (you will face off to the front office), • Degree educated or higher in computer science, engineering or similar This is a £420-460/day PAYE (employers NI paid in addition to this rate), based London initial for six months. Remote.

Job Title: System Support Engineer Location: London Contract Length: 6months (rolling up to 2 years) Pay rate: Between £416 - £490 pwd Umbrella. A leading global investment bank is seeking a System Support AVP to join its technology function in London. This role sits within a core engineering team responsible for supporting and maintaining critical internal systems across the organisation. The Role You will play a key role in supporting production systems, ensuring stability, performance, and rapid issue resolution. This is a hands-on role combining technical troubleshooting, stakeholder communication, and continuous improvement of support processes. You’ll work closely with development teams, infrastructure, and global support teams (including London and New York) to diagnose issues, identify root causes, and implement effective solutions. Key Responsibilities • Troubleshoot and resolve production system issues across Windows servers, SQL Server, and Oracle environments, • Perform root cause analysis and implement fixes (code, SQL scripting, configuration), • Liaise with internal teams (Infrastructure, Network, DBA, Helpdesk) and external stakeholders, • Provide clear communication and updates to business users and support teams, • Support application releases and ensure smooth deployment into production, • Contribute to system stability, scalability, and security improvements, • Participate in an out-of-hours support rota, • Maintain accurate documentation, ticketing, and incident reporting, • Support disaster recovery environments and non-production systems Requirements • Strong experience in application/system support within enterprise environments, • Hands-on knowledge of SQL (T-SQL or PL/SQL), • Experience with Windows Server environments and database systems, • Proven ability to troubleshoot complex production issues, • Strong communication skills with both technical and non-technical stakeholders, • Experience working in banking or regulated environments is highly desirable Why Apply? • Opportunity to work in a global, enterprise-scale environment, • Exposure to business-critical systems and production support, • Collaborative, international team across multiple locations, • Strong mix of technical depth and stakeholder engagement 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. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Pontoon/Adecco is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone’s chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.

Venesky Brown is currently looking for a Project Controls Manager to join the team at the Sizewell C nuclear new build in Suffolk. This is a long-term contract role based in either the London or Suffolk office with hybrid working available. Travel to Paris will also be required as part of this role. Principal Accountabilities: • Responsible for either the complete Project Controls activities for a discrete area of scope or supporting Programme Controls Managers in the wider delivery of Project Controls activities. Deputy to ProgCM., • Responsible for liaising with the supply chain and the assurance of their Project Controls information, • Co-ordination of Project Controls Functions to ensure the delivery of integrated Project Controls management information., • To support the Programme Controls Manager with progress reporting including schedule updates, forecast to complete, variance identification and opportunities for improvement., • Accountable for the on-time production and quality of month end Performance Reports, • Help ensure SZC is viewed by the Construction Industry as an exemplar in Project Controls through knowledge sharing, networking and delivering presentations to the sector., • Management of senior stakeholders related to the scope being controlled or within SZC. Knowledge, Skills, Qualifications, Experience Essential • All items detailed above in the Job Purpose and accountabilities section., • Degree or equivalent qualification in business analysis, accounting, finance, construction, engineering or project management, or related technical field., • A track record of working as a Project Controls Engineer or Manager on large and complex infrastructure projects for a minimum of 15 years., • Experience of working within more than one of the Project Controls Functions of: cost control, estimating, scheduling, change management and risk management., • Detailed understanding of earned value analysis & application to various contract types., • Experience of integrated project controls & change control & drumbeat., • Experience of successfully managing a team in a matrix structure on a project., • Experience with increasing responsibility showing an ability to manage senior stakeholders., • Deliverables focused and an accomplished problem solver, rising to meet any challenge., • Excellent presentation, influencing and facilitation skills., • Exceptional interpersonal and communication skills. Desirable • Active membership of AACE, PMI, APM or similar association with association certifications., • User of a range of reporting and analytics software and project controls systems particularly Power BI., • Understanding of various contract types, in particular the NEC suite and FIDIC., • Experience in the Nuclear sector Job Purpose / Overview SZC Project Controls will serve as a centre of excellence, managing and strategically using delivery performance management information. Our team will enable successful delivery of SZC Project through proactive Project Controls that drives forward-looking solutions to continuously improve performance. As a Project Controls Manager or Engineer, you will be working within either the Project Management Office (PMO) or the Delivery Programmes. The post holder will be ultimately responsible for either the complete Project Controls activities for a discrete area of scope or supporting Programme Controls Managers in the wider delivery of activities that support the Project Controls Execution Plan which ensures we operate and deliver controls within the SZC governance structure, organisation and delivery model. They will ensure Project Controls activities being carried out in an efficient manor in accordance with calendars and deadlines established on SZC. They will be proactive in their approach to driving innovation which will support Project Controls activities on SZC being ‘Digital by Default’. The candidate should have experience of working on a large-scale project environment and they will have experience of working in multiple Project Controls functions and understand how integrated Project Controls management information is achieved. This knowledge and their previous experience on major programmes and projects will enable them to assure and challenge outputs produced by the various project controls functions. They will be able to write and edit reporting narrative, so that reports all have a consistent style, and the narrative answers the ‘So What?’ question for Managers and Leadership. They will have experience of working with the supply chain, multi discipline teams and senior leadership to ensure that Project Controls activities are carried out effectively. They will also be comfortable to run month end Performance Reviews for their scope or cover the month end reviews for the Programme Controls Managers when required. They should be able to demonstrate their ability to handle multiple Project Controls activities, tasks or one of exercises that might be asked of them and ensure they can prioritize these for successful delivery. Vacancy Overview: Are you looking for a career which is rewarding, at the cutting edge of project development and where you can really make a difference? Come and join our expanding Sizewell C (SZC) team and work on one of the most exciting and largest megaprojects in the UK, whilst being at the forefront of the UK’s climate change agenda and energy policy. Following on from the success of Hinkley Point C (HPC), the SZC Project is a nuclear new build project in Suffolk, which has obtained planning approval and Government financing support. The project has started construction and is now seeking private investment. When completed, it will provide dependable electricity to 6 million homes for 60 years, which along with renewables, will support Britain to achieve Net Zero by 2050.

Artificial Intelligence Engineer McCabe & Barton London Area, United Kingdom (Hybrid) Save Apply AI Engineer - Agentic AI & LLM Solutions Leading Investment House | London/Hybrid | Contract | Competitive Day Rate About the Opportunity We are seeking an experiencedAI Engineer to join a leading global investment house embarking on an ambitiousAI transformation programme . This is a high-impact contract role focused on buildingend-to-end agentic AI and LLM-based solutions that solve real business problems across trading, operations, research, and front-office functions. You'll work directly with business stakeholders to understand workflows, design intelligent automation solutions, and rapidly prototype working AI systems that deliver measurable value. Key Responsibilities: AI Solution Design & Delivery • Buildend-to-end agentic AI and LLM-based solutions from concept to deployment, • Design AI architectures that map toreal business problems in investment banking, • Rapidly prototype and iterate AI solutions based on stakeholder feedback, • Move quickly from business brief to working solution - velocity is critical, • Engage directly withbusiness stakeholders (traders, analysts, operations, research teams) to understand workflows and pain points, • Translate business requirements intoAI solution designs, • Demonstrate AI capabilities and educate stakeholders on art-of-the-possible, • Gather feedback and iterate solutions based on real user needs, • Develop robustPython-based AI applications and agent systems, • Integrate LLM capabilities (OpenAI, Anthropic, Azure OpenAI) into business workflows, • Build agentic AI systems that can reason, plan, and execute multi-step tasks, • Implement RAG (Retrieval-Augmented Generation) pipelines for domain-specific knowledge, • Work with vector databases and enterprise data sources, • Stay current with rapidly evolving LLM and agentic AI landscape, • Recommend appropriate AI frameworks and tools for different use cases, • Establish best practices for responsible AI deployment in regulated environment AI & LLM Expertise • Proven experience building end-to-end agentic AI or LLM-based solutions in production environments, • Deep understanding ofLLM capabilities and limitations - knows when AI is (and isn't) the right solution, • Experience designingAI solutions that map to real business problems , not just technical demos or proof-of-concepts, • Strong Python development skills - production-quality code, not just notebooks, • Ability to architect and buildcomplete AI applications end-to-end, • Experience integrating AI capabilities into existing enterprise systems LLM & AI Frameworks • Experience with specificLLM providers (OpenAI, Anthropic, Azure OpenAI), • Familiarity withagent frameworks such as LangChain, LlamaIndex, AutoGen, or similar, • Experience buildingmulti-agent systems and orchestration workflows, • C# / .NET background for enterprise integration in financial services, • Experience withRAG pipelines and vector databases (Pinecone, Weaviate, ChromaDB, etc.), • Understanding ofembedding models and semantic search, • Knowledge offine-tuning and model customization approaches

JOIN OUR JOURNEY Medialab is the UK’s leading independent media agency, and one of the fastest growing in the industry. We’re a media agency that’s made differently: purpose-led, data-driven, founder-run and proudly independent. Our entrepreneurial spirit means success is recognised and rewarded. There are no limits to what you can achieve here, which our employees agree with, evidenced by being a Campaign Best Place to Work for six consecutive years and one of The Sunday Times Best Places to Work 2025. As well as this, we’re Campaign’s Independent Agency of the Year 2024 and Media Week’s Independent Agency of the Year 2025. We are IPA Effectiveness accredited, an IPA People-First agency, and All In Champions, with industry-leading work recognised by double-gold at the 2024 IPA Effectiveness Awards for our work with Laithwaites and a 2025 Effie for our work with Alzheimer’s Society. Our independence means we can focus 100% on doing the right thing to secure success for our clients and our brilliant people. We work with a wide variety of clients including Hovis, IG, Sharps Bedrooms, SunLife, Standard Life, Ancestry, Laithwaites Wine, Save the Children, Guide Dogs, Alzheimer’s Society, RNLI and Clearscore. OUR VALUES • Commit to Doing the Right Thing (Act with integrity and accountability), • Help People Flourish (Invest in people), • Dig Deeper to Understand Better (Data driven curiosity) OUR COMMITMENT TO YOU Working at Medialab comes with lots of perks including all the usual things you would expect, such as a competitive salary package, pension, season ticket loans, cycle to work scheme, weekly social events and big summer / end of year parties. On top of that, we offer extra benefits, which make life at Medialab even more rewarding: • Time to Unwind – 22 days holiday (+ Christmas holiday closure), a day off for your birthday, holiday buying scheme, flexi-hours and work abroad scheme., • Hybrid Working – Balance between home and office. (3 days in office) We welcome requests for flexible working arrangements from the commencement of employment., • Career Growth – A meritocratic approach to progression with quarterly reviews, CPD Platinum accredited training, mentoring and leadership support., • Health & Wellbeing – Private medical insurance, health cash plan, gym discounts, wellbeing apps Mental Health First Aiders and free professional counselling., • Supporting Families – Enhanced parental leave pay, flexible working and life assurance., • Giving Back – Paid charity days and sustainability initiatives., • Perks & Rewards – Retail discounts, long-service trips and an unforgettable team culture. YOUR NEXT CHALLENGE The Data Science Engineer is a pivotal technical role focused on supporting the development of specialised software and tools that enable our Marketing Effectiveness team to deliver data driven insights to our clients. Sitting at the intersection of Data Science and Engineering within the Apollo Innovation team, this role helps drive the transition from manual workflows to automated, production-ready systems. Beyond the hands-on improvement and maintenance of our existing tools to guarantee operational stability, you will have the opportunity to contribute directly to our R&D. You will drive innovation by using your technical experience to develop in-house capabilities and solutions that directly enhance our Marketing Effectiveness proposition. HOW YOU WILL MAKE AN IMPACT • Maintain and enhance core Python modelling tools for the Marketing Effectiveness team., • Manage the migration of manual workflows into automated, production-ready software., • Develop in-house technical solutions that directly enhance the agency’s Marketing Effectiveness proposition., • Provide technical support, diagnosing and resolving complex bugs in tools and innovation products., • Liaise with analytical stakeholders to ensure technical builds directly solve domain-specific problems (MMM/Econometrics)., • Responsible for the configuration and accuracy of innovation products used in client delivery., • Produce comprehensive technical documentation and advocates for the adoption and delivery of new tools and features to the team, ensuring all system architectures are transparent, maintainable, and clearly understood., • Actively mentor Junior Engineers, providing guidance and participate in peer code reviews to ensure team-wide quality. WHAT YOU WILL BRING TO THE TEAM MUST HAVE SKILLS • Strong Python engineering skills, writing clean, modular, and production-ready code., • Data science experience, applying machine learning and statistical models for Marketing Mix Modelling (MMM) and Econometrics., • Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences., • Strong command of software development fundamentals, including version control (Git) and agile methodologies., • Proficiency in SQL for robust data extraction, manipulation, and analysis., • An academic background in a relevant field such as Computer Science or Data Science. NICE TO HAVE SKILLS • Familiarity with cloud platforms, specifically GCP (Google Cloud Platform)., • Highly capable with Microsoft Excel and the wider MS Office suite, including experience with VBA., • An understanding of deployment practices and CI/CD concepts.

Overview: TekWissen Group is a workforce management provider throughout the UK, Europe and many other countries in the world. The client below is a global professional services company with leading capabilities in digital, cloud, and security. Combining unmatched experience and specialized skills across more than 40 industries Role: AI Native Software Engineer Location: London, UK Work type: Hybrid Duration: 6 Months Job Summary: • We are seeking a hands‑on AI Native Software Engineer to design, build, and deploy production‑grade AI‑driven systems within complex enterprise environments., • In this role, you will focus on agent‑based architectures, AI platform integration, and cloud‑native development, delivering scalable, reliable solutions that power real business workflows. Core Duties • Design, implement, and maintain AI agent workflows, including retrieval‑augmented generation (RAG), orchestration, tool/function invocation, and policy‑based routing, • Build cloud‑native backend services and APIs to support AI‑driven applications and enterprise integrations, • Implement evaluation, monitoring, and observability frameworks to ensure accuracy, latency, reliability, and system health across AI agent lifecycles, • Production‑ready AI‑powered applications aligned to defined business workflows and enterprise standards, • Scalable multi‑model and multi‑provider AI architectures, including abstraction layers for provider flexibility, • Fully deployed cloud‑native services using microservices, containers, and serverless or event‑driven patterns, • Microsoft Office (Excel, Word, Outlook, Teams), • AI Platforms & Models: OpenAI, Anthropic (Claude), Google Vertex AI, and select open‑source models, • Agent & Orchestration Frameworks: LangGraph, AutoGen, CrewAI (or similar), • Cloud & DevOps Tooling: Docker, Kubernetes, Terraform, Helm, CI/CD pipelines, • Build real, enterprise‑grade AI systems that move beyond experimentation into production, • Remain deeply technical in a 100% hands‑on engineering role with no people‑management responsibilities, • Work with modern AI platforms, multi‑model architectures, and cloud‑native technologies, • Focus on high‑impact delivery with clear scope, measurable outcomes, and implementation ownership, • Bachelor’s degree in Computer Science, Engineering, or a related technical field or equivalent practical experience, • 8–10+ years of professional software engineering experience with ownership of production systems, • 3+ years of hands‑on experience building and deploying AI/LLM‑based systems in production (agents, RAG pipelines, orchestration), • Strong experience designing and delivering cloud‑native systems, including APIs, microservices, containers, and serverless or event‑driven architectures, • Proficiency in Python, Java, or comparable backend languages, • Hands‑on experience with CI/CD pipelines, infrastructure as code, and monitoring or observability tools, • Experience with agent frameworks such as LangGraph, AutoGen, CrewAI, or similar, • Experience designing multi‑agent or distributed AI systems, • Familiarity with multi‑model and multi‑provider AI architectures, • Experience integrating AI solutions into enterprise‑scale systems or platforms, • This is a 100% hands‑on engineering role with no people‑management responsibilities, • Strong problem‑solving skills and technical judgment in complex enterprise environments, • Ability to collaborate effectively with internal and client engineering teams, • Comfortable working within existing architecture standards, security requirements, and engineering best practices

Location: Hong Kong - relocation package on offer - industry experience required A leading proprietary trading firm in the crypto space is searching for an experienced Senior AWS Engineer/Architect to own and evolve its global trading infrastructure. The team operates at the cutting edge of high-frequency trading, processing billions in daily volume across venues worldwide. What you’ll do • Design and optimize multi-region AWS architectures to support ultra-low latency systems., • Engineer high-throughput data pipelines and automate large-scale deployments., • Deep-dive into Linux networking and system tuning for maximum performance., • Partner with developers and quants to align infrastructure with trading strategies., • 8+ years in AWS architecture/engineering with production-grade systems., • Expertise in Linux internals, networking, and large-scale system optimization., • Strong scripting skills (Python, Bash) and hands-on IaC experience (Terraform/Ansible). Be part of a performance-driven, flat-structured team shaping the future of crypto trading. Work on problems where nanoseconds matter, using AWS at true scale. Competitive compensation, relocation support, and a role at the frontier of financial markets.

A leading global investment platform is building out its Private Markets capability and is looking to hire a high-impact Investment Data Engineer (VP level) to join its London team. This is a rare opportunity to step into a foundational data role within a fast-scaling private credit business—where you’ll shape architecture, analytics, and data strategy from the ground up. The Opportunity You’ll take ownership of the end-to-end data ecosystem supporting a growing private credit platform, working at the intersection of engineering, analytics, and investment decision-making. This role combines hands-on technical delivery with strategic influence, offering direct exposure to deal teams, fundraising activity, and portfolio monitoring. Key Responsibilities • Lead the design and build of modern data infrastructure across SQL Server and Azure (Data Lake, Databricks), • Develop scalable data pipelines and integrate multiple internal and external systems, • Create intuitive front-end tools and workflows to drive user adoption across the business, • Build and deploy machine learning models (text extraction, deal sourcing, portfolio monitoring), • Own and evolve portfolio data pipelines, expanding coverage across live and historical deals, • Establish data governance frameworks and data quality processes from scratch Candidate Profile We’re looking for a technical self-starter who thrives in a build environment: • Strong programming skills across Python, SQL, • Proven experience building production-grade data platforms in Azure, • Experience deploying machine learning models into live environments, • Exposure to data governance and data quality frameworks, • Ability to engage business users and deliver user-facing tools and insights, • Background in financial services, private credit, or asset management is advantageous Why Apply? • Build a greenfield data architecture within a high-growth investment platform, • Work directly with investment professionals on deal-critical analytics, • Gain exposure to front-office decision-making and fundraising activity, • Join a team where data is central to strategy, not just reporting

AI Forward Deployed Engineer I am currently partnering with a world-leading AI software business that is fundamentally changing how developers build and deploy autonomous agents. They are looking for a highly technical yet conversational AI Forward Deployed Engineer to join their London team. This is a unique opportunity to sit at the intersection of product engineering and customer success, working directly with some of the most innovative engineering teams in the world to help them build production-grade AI workflows. The Role • You will act as the technical lead on client engagements, helping them design, build, and fine-tune complex AI agents and LLM-driven applications., • You will bridge the gap between technical possibilities and business value, leading workshops and workshops to scope out high-impact AI solutions., • You will work closely with internal product and research teams to feed back customer insights, directly influencing the roadmap of the core software platform. Key Details • Permanent, • £120,000 – £160,000 base salary + bonus and benefits, • Hybrid working (London-based office) What we are looking for • Deep AI technical ability: You should be comfortable building and fine-tuning LLMs and working with orchestration frameworks., • Customer Facing experience: You must be able to hold your own in a room with CTOs and lead engineers, translating complex AI research into practical solutions., • Strong Coding Skills: Proficiency in Python or TypeScript is essential for building end-to-end AI workflows.

We’re partnering with a top-tier quantitative trading firm to hire an experienced C++ Software Engineer to work on performance-critical trading and market data systems. This is a role for engineers who care deeply about latency, determinism, and correctness, and who want to build systems where microseconds and design decisions genuinely matter. The Role You’ll be part of a core engineering team responsible for low-latency, high-throughput systems that sit directly on the trading path. The work spans strategy execution, market data processing, and core infrastructure, with a strong focus on performance and reliability. You’ll collaborate closely with quants, traders, and other systems engineers, taking research ideas and turning them into robust, production-grade software. Key Responsibilities • Design and develop high-performance C++ systems used in live trading, • Build and optimise components for market data ingestion, pricing, and execution, • Profile, tune, and debug systems where latency and throughput are critical, • Contribute to system architecture and low-level design decisions, • Maintain high engineering standards around testing, code quality, and reliability Core Technical Requirements • Strong professional experience with modern C++ (C++17/20), • Deep understanding of data structures, algorithms, and low-level system behaviour, • Experience working on latency-sensitive or performance-critical systems, • Strong knowledge of Linux, memory management, and concurrency, • Comfortable debugging complex issues across large, long-lived codebases Additional Languages & Technologies (Nice to Have) Experience with one or more of the following is a strong plus: • Python (for research tooling, prototyping, or system glue), • Rust or Go (modern systems or infrastructure tooling), • Java or C# (broader backend exposure), • Experience with networking, TCP/UDP, multicast, or kernel-level tuning, • Familiarity with build systems, CI/CD, and performance profiling tools Nice to Have (But Not Required) • Exposure to electronic trading systems or financial markets, • Experience with lock-free programming, custom allocators, or SIMD, • Background in distributed systems or real-time systems

AI Engineer (LLMs/Agentic AI/Python) – Hybrid (London – 2/3 days onsite per week) – (£500-600/DAY OUTSIDE IR35) We are currently supporting a cutting-edge AI software company building advanced agentic AI and memory systems for enterprise clients operating within highly regulated environments. They’re looking for an AI Engineer to join on a subcontractor basis, helping architect intelligent multi-agent systems, memory write-back pipelines, and secure LLM integrations at scale. Tech Stack: • Python/FastAPI, • LLMs & Agentic AI, • MCP Integrations, • GraphRAG, • Async Architectures, • Multi-Agent Systems, • Knowledge Graphs, • Streaming & Observability Key Experience: • Multi-agent orchestration in production, • AI memory systems & write-back design, • GraphRAG & retrieval architectures, • MCP server integrations, • Secure enterprise AI deployments, • Agent guardrails & access control, • Production-grade Python engineering Bonus Experience: • LLM evaluation frameworks, • Entity resolution & deduplication, • Bitemporal data modelling, • Streaming trace capture, • Multi-tenant AI platforms, • Formal/neuro-symbolic reasoning, • Regulated industries (Finance, Pharma, Defence) Hybrid/Remote – preference for London-based engineers 6-month initial contract with high likelihood of extension £500–600/day Outside IR35 Great opportunity for an experienced AI Engineer who enjoys solving complex orchestration, memory, and reasoning challenges within next-generation AI/LLM environments.

A globally recognised, high-growth consumer brand is looking for a Commercial AI & Data Lead to build and own its next-generation agentic AI framework across commercial and sales functions. This is not a strategy role. This is a build role. You’ll design and deploy production-grade AI systems that directly impact revenue, performance, and decision-making - working at the intersection of AI engineering and commercial strategy. The Mission Design and scale a commercial agent ecosystem, enabling smarter, faster decision-making across multiple domains. Tech Stack Snowflake | Python | OpenAI/Claude APIs | LangGraph/CrewAI | dbt | SQL What we’re looking for • Experience building production AI / multi-agent systems (LangChain, LangGraph, CrewAI, AutoGen, etc.), • Strong Python engineering skills (clean, production-grade code), • Hands-on experience with cloud data platforms (Snowflake preferred), • Ability to translate complex AI systems into clear commercial impact, • 4–9 years’ experience as a hands-on builder (not a pure manager) Nice to have • FMCG / retail / commercial analytics experience (NIQ/Circana a plus), • dbt / semantic layer design, • MLOps, evaluation & observability tooling, • Background in consulting or data science roles, now looking to own a product end-to-end Why this role is different • Build real systems, not decks, • Own the architecture, not just execution, • Work directly with commercial leaders, • Join a brand known for innovation, pace, and cultural impact If you’re an AI engineer or data scientist who wants to move from projects → product ownership, this is your role. Central London based - Hybrid £90k base + significant bonus & benefits package

About the Position My client is a tech-centric prop trading fund, trading a wide range of financial products across the globe. Now looking for an engineer with robust experience in machine learning and strong mathematical foundations to join the growing ML team and to help drive the direction of the ML platform. Machine learning is a critical pillar of the fund's global business. The ever-evolving trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing new ideas to be incorporated with relatively little friction. The ML team is full of people with a shared love for the craft of software engineering, and for designing APIs and systems that are delightful to use. You'll draw on your in-depth knowledge of the ML ecosystem and understanding of varying approaches - whether it's neural networks, random forests, gradient-boosted trees, or sophisticated ensemble methods - to aid decision-making so that the right tool is applied for the problem at hand. Your work will also focus on enhancing research workflows to tighten feedback cycles. Successful ML engineers will be able to understand the mechanics behind various modeling techniques, while also being able to break down the mathematics behind them. If you've never thought about a career in finance, you're in good company. Many of the employees were in the same position before working at this firm. While there isn't a fixed list of qualifications they're looking for, if you have a curious mind and a passion for solving interesting problems, you'll almost certainly fit right in. Requirements: • Experience building and maintaining training and inference infrastructure, with an understanding of what it takes to move from concept to production, • A strong mathematical background; good candidates will be excited about things like optimization theory, regularization techniques, linear algebra, and the like, • A passion for keeping up with the state of the art, whether that means diving into academic papers, experimenting with the latest hardware, or reading the source of a new machine learning package, • A proven ability to create and maintain an organized research codebase that produces robust, reproducible results while maintaining ease of use, • Expertise wrangling an ML framework - they're fans of PyTorch, but they'd also love to learn what you know about Jax, TensorFlow, or others, • An inventive approach and the willingness to ask hard questions about whether the right approaches are being taken and the right tools being used, • Fluency in English Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful. Contact If this sounds like you, or you'd like more information, please get in touch: George Hutchinson-Binks (+44) 07885 545220 linkedin.com/in/george-hutchinson-binks-a62a69252