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Search Consultant - Power Infrastructure & Battery Technology AI-Native | Full-Cycle | Equity-Track The Opportunity Sourcechange is hiring search consultants who operate differently. We don't need people who can just make calls and send CVs - we need dealmakers who build their own tools, automate their own workflows, and use AI to outperform teams twice their size. You'll lead full-cycle mandates in power infrastructure and battery technology - markets where capital and engineering intersect, demand is structural, and the best recruiters operate more like analysts than administrators. You'll run your own desk with uncapped earnings, equity participation, and a direct path to leadership in a business built for long-term value creation and exit. Why This Role Is Different The recruitment industry is splitting. On one side: traditional recruiters drowning in admin, manually sourcing, and competing on volume. On the other: a new breed of AI-native consultants who build signal-based pipelines, automate enrichment and outreach, and use data to make smarter decisions faster. We're hiring for the second category. At Sourcechange, every consultant is expected to leverage our AI-native tech stack - and, increasingly, to extend it. If you can prompt an LLM, build a workflow, or wire up an API, you'll multiply your output and your earnings. Who We Are • A search and advisory firm operating at the intersection of technology and infrastructure., • We partner with leading investors, developers, and operators scaling power infrastructure and battery technology across North America., • We place finance, engineering, and leadership talent - combining contingent speed with retained diligence., • We run on an AI-native tech stack: AI-powered sourcing, automated candidate enrichment, signal-based pipeline construction, and real-time market intelligence. This isn't a bolt-on - it's how we work. Who You Are Core: You're a commercially driven recruiter who has billed successfully in a 360-degree context. You thrive in technical, talent-scarce markets. You value measurable results over politics and long-term reward over short-term noise. You have grit - an exceptional work ethic, unrelenting determination, and tenacity are prerequisites. Technical Edge: You're comfortable with AI tools and actively seek to integrate them into your workflow - or you're determined to learn. We're looking for consultants who will: • Treat AI as a core part of their workflow, not a novelty, • Proactively build tools and automations that give them a sourcing and execution edge, • Contribute to the design and development of proprietary tools and products that enhance efficiency and strengthen our offering to clients and candidates, • Take ownership of their data, their pipeline architecture, and their tech stack, • Contribute to the firm's collective intelligence - sharing workflows, prompts, and innovations across the team What You'll Do • Lead full-cycle searches across power infrastructure and battery technology (BESS), • Originate new client relationships and expand existing partnerships across PE-backed and public platforms, • Source, assess, and close top-tier technical, commercial, and leadership talent, • Structure and negotiate mandates across retained, contingent, and embedded models, • Build and maintain your own AI-augmented research and sourcing toolkit - we provide the stack, you push it further, • Own your ATS data quality, pipeline analytics, and candidate enrichment processes, • Develop signal-based sourcing strategies that surface candidates before they hit the market, • Build a personal market and brand - your clients, your profit stream, your reputation What We Offer • Earnings: Uncapped commission, market-leading structure up to 60% even at Associate level, • Progression: Associate to Director within 5 years - based on output, not tenure, • Equity: Equity participation for high performers in a business built for exit, • International: US sponsorship and transfer opportunities, • Tech Stack: AI-native tooling that eliminates admin and multiplies output - plus freedom to build on top of it, • Market: Power Infrastructure & Battery Technology - structural growth, serious capital, scarce talent, • Culture: Meritocratic. Performance rewarded. No politics., • Mentorship: Upskilled by founders with seven-figure billing track records and prior exits The Technical Edge - What Sets You Apart To be clear: this is a recruitment role, not a technology role. The best consultants at Sourcechange will be defined by the depth of their market knowledge, the strength of their relationships, and their ability to advise clients and candidates with authority. AI and automation exist to remove friction - so you spend more time on the phone, in the market, and building the niche expertise that sets you apart. The technical capability amplifies the human work. It doesn't replace it. The best recruiters in the next decade won't just be great at relationships - they'll be the ones who can build and automate their own systems. At Sourcechange, we're investing in people who sit at the intersection of commercial recruitment and technical capability. You don't need to be an engineer. But you need to be the kind of person who sees a repetitive task and thinks: how do I automate this? Culture & Progression Progression at Sourcechange is meritocratic. Your trajectory depends on outputs, outcomes, and values - not how long you've been around. You'll be mentored by founders with seven-figure billing track records who have previously scaled search firms to successful exits. We're building an industry-leading brand, not boutique comfort. If you want to grow something of consequence, be paid for what you produce, and work at the cutting edge of how recruitment is evolving - this is your environment.

A forward-deployed pre-sales engineer who partners with the strategy and sales teams to design, build, and present AI-powered proof of concepts for clients. You will own the full technical arc of each POC — from brief to build to client demo — and establish a reusable, scalable framework that compounds in value with every engagement. Who are they? They are looking for a Pre-Sales Engineer to be their forward-deployed technical force in the sales cycle. This is a hands-on, client-facing role: you will rapidly design and build proof of concepts that demonstrate what is possible with AI, and you will be the technical voice in the room when clients need to see it to believe it. You will report directly to the CTO and work closely with strategy and sales teams across every stage of the pre-sales journey. What you'll deliver 1. Build proof of concepts that win clients • Take a brief from the strategy team and independently design, architect, and build a working POC within a 3–4 week sprint., • Translate real client problems (surfaced through Launchpad engagements) into credible, demonstrable AI-powered solutions., • Ensure every POC communicates the &above point of view: what we believe, what we can do, and what the solution could become., • Maintain a high output velocity using AI-assisted development tooling — you are the 10× engineer. 2. Own the client-facing technical narrative • Prepare and support all technical resources for sales calls: demos, slide narratives, technical Q&A docs, and deep-dive presentations., • Join first calls, technical discovery sessions, and demo calls to provide credible technical support to the salesperson., • Translate complex AI and engineering concepts into clear commercial language for Product, Marketing, and Sales VP stakeholders., • Build confidence in the client that &above can deliver — not just pitch. 3. Create a scalable, reusable POC framework • After each engagement, produce a clean handover: a client-facing presentation of what was built, what shortcuts were taken, and what hardening would be required for production., • Maintain and evolve a library of reusable repo templates, demo environments, and slide narratives so each POC builds on the last., • Document technical shortcuts explicitly so they can be tracked and addressed in future delivery phases., • Define and refine the repeatable process for scoping, building, and presenting a POC. 4. Stay at the frontier of AI and shape our offering • Maintain a close watch on the AI landscape: new models, tools, frameworks, and use cases., • Proactively suggest new POC formats, tooling improvements, and solution patterns that keep &above ahead of the market., • Feed insights back into the strategy and sales teams to sharpen how we position our capabilities. 5. Be a reliable, autonomous operator • Manage your own time and priorities across concurrent POC sprints with minimal overhead., • Report clearly and consistently to the CTO on progress, blockers, and decisions throughout the week., • Operate with the decisiveness and resourcefulness of a founder — you are comfortable with ambiguity and move fast. What we're looking for Must have • Senior or lead-level engineering experience, with a proven track record of shipping production-quality work independently., • Full-stack capability: strong React / TypeScript frontend fundamentals with solid backend experience (language is not a constraint)., • Practical, hands-on knowledge of AI application development: LLMs, RAG architectures, AI agents, and evaluation approaches., • Excellent client-facing communication skills — comfortable in a room with VP-level stakeholders, able to translate technical depth into commercial clarity., • A 50/50 builder-communicator profile: no trade-off between engineering quality and presentation quality., • Demonstrable ability to ship fast and make pragmatic architectural decisions under time pressure., • Comfortable working solo, managing time independently, and operating with minimal direction. Nice to have • Previous founder experience, or a background operating as a one-person engineering function., • Experience in a product studio, agency, or consultancy working across multiple clients and problem domains., • Familiarity with a broad range of AI tooling, model providers, and deployment approaches., • Experience building and presenting technical demos to non-technical enterprise audiences., • Contribution to sales processes, technical proposals, or RFP responses. Why join them? This is a rare role for someone who wants to operate at the intersection of deep technical craft and commercial impact. As Pre-Sales Engineer, you will: • Have direct influence over how &above wins new business and demonstrates what AI can do., • Work on a genuinely diverse range of problems across industries, use cases, and technologies., • Build a compounding library of POCs and frameworks that define how the studio scales., • Report directly to the CTO with high visibility and real autonomy from day one. This is a permanent role with the full &above benefits, including: • 32 days' holiday (including bank holidays)., • 8-weeks working-away allowance each year., • Birthday off., • Health and wellbeing budget including Vitality private healthcare and WellHub unlimited gym access and wellbeing apps., • Cycle-to-work scheme and quarterly team socials., • Quarterly OKRs and bonus opportunities, with monthly check-ins to support your growth., • A genuinely supportive culture in an innovative and inspiring workspace.

Senior Forward Deployed Engineer Location: UK (Remote) Our client is a high-growth, venture-backed AI company transforming how the insurance industry operates. They’ve built an AI-native platform that redefines decision-making across the full policy lifecycle — enabling insurers to move faster, make smarter underwriting decisions, and drive better outcomes in an increasingly complex risk landscape (climate, cyber, etc.). Backed by top-tier investors and operators from some of the world’s most successful SaaS companies, they’re scaling quickly and looking for exceptional talent to join the journey. The Role This is a highly impactful, customer-facing engineering role where you’ll sit at the intersection of product, engineering, and delivery. You’ll work directly with customers to deploy and optimise the platform, solving complex technical challenges and ensuring successful implementations from end to end. This is a hands-on role — ideal for someone who enjoys coding, problem-solving, and working closely with users in a fast-paced, startup environment. What You’ll Be Doing • Partner with engineering and delivery teams to implement the platform for enterprise customers, • Work cross-functionally to design, build, and deploy technical solutions across the full lifecycle, • Own customer implementations — from discovery and solution design through to deployment and post-go-live optimisation, • Write and debug production-level code (Python, JavaScript, SQL) for integrations and internal tooling, • Identify opportunities to automate workflows and improve internal and external processes, • Act as a trusted technical partner to customers, ensuring a seamless delivery experience What They’re Looking For • UK-based (remote), • 5–8+ years in a technical, customer-facing role (e.g. FDE, Solutions Engineer, Implementation Engineer, or similar), • Strong coding ability in JavaScript and SQL (Python a plus), • Experience working directly with customers on complex technical implementations, • Comfortable operating across engineering, product, and customer environments, • Strong problem-solving skills with the ability to navigate ambiguity, • Experience in high-growth startups or fast-paced environments is a strong plus, • Degree in Computer Science or a related field (or equivalent experience) Why Join • Early impact — work closely with leadership and help shape how the platform is deployed globally, • High ownership — own end-to-end implementations and influence product direction, • Strong backing — well-funded with proven leadership from top-tier SaaS companies, • Cutting-edge tech — AI-native platform solving real-world, high-stakes problems • • Fast-moving, collaborative culture with a strong focus on learning and impact

Hiring: Senior / Lead Platform Engineer (Cloud-Native, Serverless) London (3 days hybrid) We’re working with one of Europe’s fastest-growing B2B SaaS companies to hire a Platform Engineer at Senior or Lead level. The business is building an AI-native platform focused on improving complex enterprise workflows—an area that remains highly inefficient and underserved. Key responsibilities include: • Scaling serverless cloud infrastructure for growth and multi-region reliability, • Building and improving CI/CD pipelines and deployment systems, • Enhancing observability, monitoring, and incident response, • Developing internal tooling to improve engineering productivity, • Contributing to production code (TypeScript) across infrastructure and product Tech Environment • AWS (serverless-first architecture), • Pulumi (or similar infrastructure-as-code tools), • GitHub Actions for CI/CD, • Datadog for observability, • TypeScript across the stack What They’re Looking For • Strong platform engineering experience in cloud-native SaaS environments, • Hands-on experience with AWS serverless architecture (e.g. Lambda, DynamoDB, event-driven systems), • Experience building CI/CD pipelines and working with infrastructure-as-code, • A focus on improving developer experience and productivity, • A pragmatic approach with strong ownership and delivery mindset

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

Lead & Senior Software Engineer | Fintech Accelerator | London | Scale-up Impact The Opportunity Born from the successful launch of a major digital bank, we are hiring a high-growth venture team with a fresh mission. Building products that solve real-world financial problems by putting the customer at the center of every decision. As a Lead & Senior Software Engineer, you will be the technical heartbeat of an Accelerator business. This is a rare chance to operate with the agility of a fintech while leveraging the stability and reach of a global financial leader. You will thrive in a squad-based environment where curiosity is celebrated and ideas are rapidly transformed into products. Your impact will be felt directly by customers as you help shape the future of digital finance. What You’ll Be Doing • Use domain modeling to build best-in-class, scalable business products., • Structure software for maximum readability, testability, and evolution., • Architect resilient solutions that eliminate single points of failure., • Develop secure, high-performance code to protect customers and data., • Lead prompt investigations into system issues to ensure long-term stability., • Oversee seamless, zero-downtime releases for a global user base., • Optimise data architecture for high-efficiency reading and writing., • Evolve the tech stack by integrating modern technologies and patterns. What They’re Looking For Essential • Proficiency in JVM-based languages, specifically Java or Kotlin., • Deep experience with cloud-native architecture and multi-cloud environments., • A pragmatic, iterative approach to solving complex technical challenges., • Strong architectural thinking with a focus on long-term scalability over short-term fixes., • Ability to adapt quickly to changing priorities and navigate "uncharted waters.", • A team-first mindset with a passion for mentoring and knowledge sharing., • High ethical standards and a commitment to building trust-based software. Nice to Have • Previous experience in a fintech or high-growth startup environment., • Contributions to open-source projects or a background in building custom tooling., • Familiarity with cross-functional "tribe and squad" working models. Why Join? • We are a people-first organisation that values collaboration over "hero" culture. You will have the autonomy to move between different product squads based on your interests and strengths, ensuring your work stays challenging and fresh., • Scale a new venture from the ground up with significant backing., • Work in a multi-cloud environment using the best tool for the job., • Continuous learning opportunities and a clear path for technical leadership., • A culture that champions diversity of thought and professional growth.

Job Title: Bio Machine Learning Engineer Location: Near London (Hybrid, 2 days onsite) Salary: Up to £90,000 Company: Stealth Biotech Startup (Series A) About the Company This early-stage biotech startup is building next-generation AI platforms to accelerate drug discovery and precision medicine. Backed by top-tier VC, they combine cutting-edge machine learning with experimental biology to unlock new therapeutic pathways across oncology and rare diseases. Their team works across computational biology, machine learning, and wet-lab science -working closely to turn complex biological data into real-world clinical impact. The Role They are looking for a Bio Machine Learning Engineer to help design and deploy models that make sense of high-dimensional biological data. The successful candidate will work alongside bioinformaticians, software engineers, and lab scientists to build scalable ML systems that directly influence the discovery pipeline. This is a hands-on role with ownership - from prototyping models to productionising them in a fast-moving start-up environment. What You’ll Be Doing • Develop and deploy machine learning models on biological datasets (e.g. genomics, transcriptomics, proteomics), • Build pipelines for processing and analysing large-scale biological data, • Apply deep learning techniques (e.g. transformers, graph neural networks) to biological problems, • Collaborate with wet-lab teams to translate experimental data into actionable insights, • Optimise models for performance, scalability, and real-world usability, • Contribute to the design of their ML infrastructure and tooling stack What They’re Looking For • 4+ years experience in machine learning, data science, or AI engineering, • Strong Python skills (NumPy, Pandas, PyTorch/TensorFlow), • Experience working with biological or biomedical data (industry or academia), • Solid understanding of ML fundamentals (supervised/unsupervised learning, model evaluation, etc.), • Familiarity with cloud platforms (AWS, GCP, or Azure), • Ability to work in a cross-functional, fast-paced startup environment Nice to Have • Background in bioinformatics, computational biology, or related field, • Experience with genomics pipelines or tools (e.g. FASTQ, BAM, variant calling), • Knowledge of protein structure modelling or drug discovery workflows, • Exposure to MLOps, deployment, and production systems, • Publications or open-source contributions in relevant domains Why Join Them • Opportunity to work on genuinely impactful problems in healthcare and life sciences, • Early-stage equity with strong growth potential, • Collaborative, mission-driven team with deep technical expertise, • Flexible hybrid working (London / Cambridge), • Chance to shape both the product and engineering culture How to Apply For more information or to apply, please get in touch with me or used LinkedIn EasyApply.

Python Software Engineer – High-Frequency Trading We're working with a high-frequency trading (HFT) firm that is looking to expand its technology team with a Python Software Engineer. This is an opportunity to join a trading firm operating at the cutting edge of global markets, where technology and speed are paramount. They build and run highly scalable, ultra-low latency trading systems that compete across major global exchanges. You’ll work on some of the most complex and rewarding engineering challenges in the financial technology space. The Role As a Python Software Engineer, you’ll collaborate with traders, quantitative researchers, and other developers to design, develop, and optimise trading infrastructure. You’ll be directly contributing to systems that operate at nanosecond-level latency and handle massive volumes of real-time data. Key Responsibilities • Develop and maintain systems for real-time market data, trade execution, and reconciliation., • Optimise performance and scalability across key trading infrastructure components., • Partner with cross-functional teams to improve tooling, observability, and automation., • Deliver robust, production-ready solutions in a fast-paced environment. Requirements • Min 2+ years of Python experience in a professional setting (HFT, trading, fintech, or other high-performance domains)., • Exposure to C++ or willingness to work in multi-language environments is a plus., • Familiarity with GUI, SQL databases and Linux-based systems., • Interest in financial markets, real-time systems, or algorithmic trading. Why Apply? • Opportunity to work on high-impact systems used in live trading., • Collaborate with some of the brightest minds in quantitative finance and software engineering., • Competitive compensation package with a base salary, plus bonus. We are reviewing applications on a rolling basis. If this role sounds like a fit, apply now to learn more. Please note: Due to high application volume, we’re only able to respond to candidates who are shortlisted within 3 working days.

About us At Havenwise, we're making energy cheaper and easier for people. To do so, we’re building the hardware and software platform for home energy starting with the heating system, the single biggest energy load in most homes. We've already built and launched a software product that connects to heat pumps and cuts energy bills by ~40%. We're now taking it further with our own hardware products: a smart hub and thermostat. The architecture is taking shape - a hub in the home that talks to the heat pump, communicates with the cloud, and connects to a wireless thermostat - but the key technical decisions are being made now. You'll help shape them, not just implement a spec. With full control over the tech stack, you'll build the firmware foundation for the optimisation logic for electrified homes that measurably reduces energy bills. We’re backed by top VCs and angels who backed and founded the likes of Blueground, Huspy, Aikido, and many more. We have a strong network of installers to bring the new products to market in the next 12 months. Your role You'll be our first embedded engineer, owning the firmware and hardware integration across two physical products: a mains-powered hub and a battery-powered wireless thermostat. You'll work directly with the CTO and a small team of engineers. This is a high-ownership role where your work ships to real homes. Your responsibilities • Own the full embedded stack: firmware architecture, hardware module selection, connectivity, and device lifecycle (provisioning, OTA, secure boot, watchdog)., • Build the communication layer between the controller and heat pump and between the controller and cloud (Modbus RTU, MQTT)., • Design and implement the wireless link between hub and thermostat, optimising for battery life (12+ month target)., • Implement the thermostat screen UI in an embedded graphics framework. V1 is minimal - status, setpoint, boost - but it must look good, not just work., • Build robust offline behaviour: the hub continues operating when internet drops., • Build safety limits into the firmware so the device stays within safe operational boundaries at all times., • Select and integrate off-the-shelf compute modules, radios, and transceivers. What we're looking for • You've shipped a consumer product with an MCU and a screen. Show us., • Strong C. Comfortable with LVGL or equivalent embedded graphics., • Experience with serial protocols (Modbus, UART, SPI) and MQTT., • Experience with OTA updates, secure boot, connectivity management., • You care about what the screen looks like, not just whether it compiles., • Comfortable in a small team where you own the full embedded vertical. Nice-to-haves • BLE, Zigbee, or Thread experience, • Low-power design and battery management., • Heat pump, HVAC, or building controls domain experience., • CAN bus (future battery/solar/EV integration)., • Python (for collaborating on cloud-side tooling with the backend team). Your benefits • Competitive salary and options., • London-based office. This is a hybrid role where we get to collaborate in the office 2-3 days per week. Occasional travel to pilot sites., • Own the entire embedded stack of a physical product from day one., • Work directly with the CTO on architecture that runs in homes for 10+ years., • Climate tech: your firmware directly accelerates the transition to cheaper, cleaner home energy. Your path to joining us 1. Call with Alex (CTO) - tell us what you've built., 2. Technical exercise - small embedded task., 3. Meet the full team., 4. Offer and welcome.

We’re partnering with a fast‑growing global fintech building the next generation of on‑chain payments, banking, and investment infrastructure. This is a rare opportunity to work on mission‑critical backend systems used by millions of customers worldwide — where scale, performance, and security genuinely matter. If you thrive in high‑availability environments, love clean backend architecture, and enjoy solving real‑world scalability problems, this role will stretch and reward you. As a Backend Engineer, you’ll play a key role in designing and building robust APIs and microservices that power both consumer and business products across web and mobile platforms. You’ll work with modern backend technologies, collaborating closely with frontend, mobile, product, and design teams to deliver secure, scalable systems in production. Core engineering principles here are maintainability, performance, and security — not buzzwords, but non‑negotiables. Responsibilities: • Designing, building, and maintaining backend services and APIs, • Delivering new platform features and continuous enhancements, • Building high‑performance, scalable microservices, • Integrating with web and mobile applications, • Working across the full SDLC: planning → design → implementation → deployment → support, • Writing high‑quality, production‑ready code, • Helping the team stay current with evolving backend and infrastructure tooling Requirements: This role prioritises strong backend fundamentals over surface‑level experience. Essential: • Degree in Computer Science (or equivalent practical experience), • Significant hands‑on backend engineering experience, • Strong experience with Node.js (JavaScript) and/or Golang, • Solid understanding of relational databases (PostgreSQL preferred), • Familiarity with non‑relational stores (e.g. Redis), • Strong grasp of web semantics, • Experience using version control systems, • Understanding of CI/CD pipelines and basic automation, • Strong communication skills and ability to work cross‑functionally, • Fluent English (written and spoken) If you’re a backend engineer who cares deeply about code quality, system design, and impact, and you want to work on systems that handle real value at scale — we’d love to connect.

Do you want to build production AI systems that major enterprises actually rely on? Have you taken LLM applications beyond prototypes and into real-world deployment? Are you ready to work with cutting-edge AI tooling while solving complex enterprise problems? A global AI and data consultancy is hiring a Senior AI Engineer to help design and deliver production AI systems for enterprise organisations across financial services, energy, and healthcare. The company operates globally with ~600 employees and a large engineering presence in London. Their teams embed directly with clients to deploy AI systems into production environments, working closely with leading AI labs and cloud platforms to deliver scalable solutions. This role focuses on building reliable, production-grade AI systems, combining strong software engineering with applied AI development. You’ll work within cross-functional delivery squads alongside data scientists, engineers, and platform specialists. Role Summary This is a hands-on engineering role focused on designing and deploying LLM-powered systems in production environments. Engineers work across multiple enterprise engagements, typically lasting around nine months, building AI applications that solve real operational problems. Key Responsibilities • Design and implement LLM-powered applications for enterprise clients, • Build RAG pipelines and AI workflows integrating enterprise data, • Develop production APIs and backend services in Python, • Implement evaluation frameworks and monitoring for AI systems, • Optimise AI systems across latency, cost, and performance, • Contribute to solution architecture within cross-functional delivery squads Key Details • Salary: £75,000 – £90,000, • Working model: Hybrid (2–3 days per week in Central London), • Tech stack: Python, LLM APIs, RAG architectures, vector databases, agent frameworks, cloud platforms (AWS / GCP / Azure), • Visa sponsorship: Not available Interested? Please apply below.

Salary: £70k - £100k + equity Location: Hybrid (London) The world is facing a nature crisis. We have lost 85% of the world’s wetlands, 35% of its forests and 65% of its living creatures. Action on nature is the next frontier for sustainability, as the world has to move beyond net zero to nature positive future. Natcap is on a mission to accelerate the nature-positive transition by integrating nature intelligence into business decision-making. We support the world's leading companies to prioritise, measure and act on nature impacts, dependencies, risks and opportunities. We’re seeking an exceptional Platform Engineer to bring depth, experience and momentum to our engineering team. We’re a scaling company with a small (<10), highly hands-on engineering team - everyone builds, ships, and owns outcomes. We’re looking for an experienced doer: someone with deep infrastructure, software- and data-engineering tooling expertise who takes pride in delivering, completing, and improving systems in a practical, hands-on way. There’s real scope for impact, whether you’re ambitious and eager to shape our infrastructure as we scale, or a seasoned engineer ready to apply your experience to mature and strengthen our stack and operations. You will work alongside colleagues in Product, Design, Delivery, Science, and Engineering to develop a top-tier product that is easy to use, performs well, and maintains high security. Your role will involve comprehensive engagement across our product and data platform. You will quickly gain expertise in our domain - ecology & biodiversity, nature regulation, and reporting frameworks - and communicate effectively with other teams. This role offers a unique opportunity to apply your technical skills to combat the nature crisis in a highly impactful position that will shape the nature platform we are building at Natcap. What you’ll do in this role: You will support our software engineering team (smart, proactive, experienced and established yet always keen to learn) by working alongside them. The projects may be infrastructure driven (e.g. private networking, cost optimisation, scalability adjustments) or software-delivery driven (CI/CD, automation of data processing, communication between different stack elements to achieve desired functionality). The following skills and knowledge will come useful every week: • The design, implementation, and management of secure, resilient, and scalable cloud infrastructure., • Building and managing solutions on the AWS cloud platform, with knowledge of Google Cloud being advantageous., • Developing Infrastructure as Code (IaC) and Configuration Management (CM) using tools such as Terraform and Ansible to enhance infrastructure deployments and security configurations., • Applying security best practices and compliance benchmarks to cloud infrastructure with IaC and CM tools, using AWS security services to standardise and improve the security posture of our cloud infrastructure., • Integrating the testing, deployment and management of IaC and CM with CI/CD pipelines, using tools such as GitHub Actions., • Configuring and managing deployments of applications on container platforms such as Kubernetes, Lambda, EKS, and ECS - with experience of Kubernetes/EKS preferred., • Implementing and maintaining security controls within the delivery pipeline, including SAST, vulnerability scanning, and code linting tools., • Leveraging AWS services like CloudWatch, Athena, Config and CloudTrail to monitor and help secure cloud infrastructure., • Supporting ongoing software development and data processing functions with pragmatic and efficient uses of the existing infrastructure and tools (tradeoffs between financial, performance and security optimisation being one of key aspects in making decisions)., • Finding opportunities for improvement and innovation across the stack (employing AWS Bedrock, automation opportunities, serverless optimisation). Our software and data stack is: • Python & JavaScript web application, deployed using CI/CD based on gitHub actions., • GraphQL APIs, PostgreSQL database (RDS)., • Data processing pipelines using Argo Workflows and Metaflow, with SQS-based events. What we’re looking for: Must haves: • Deep experience in DevOps/Infrastructure or Platform Engineering. Equivalent to a Lead role in a start up environment, or senior - staff level in a larger corporate., • Has deep expertise in AWS., • Is confident building Infrastructure as Code, including working with Terraform., • Has experience embedding and maintaining new tools and processes across the pipeline & tech stack (e.g., introducing vulnerability scanning)., • Understands best practices in building secure & scalable infrastructure, and adopting best practices to smaller organisations., • Is confident making tradeoffs between competing priorities to deliver the best outcomes for the business (e.g., budget, security, developer experience)., • Is comfortable supporting our product & data stack (Python, JavaScrip, GraphQL, APIs, PostgreSQL database)., • A strong communicator, able to build strong relationships with technical and non-technical stakeholders, being a supportive team member, enjoying working in a tight-knit team., • Thrives in a startup environment - enjoys fast-paced environments, being able to act autonomously, comfortable with ambiguity and rapidly changing priorities., • Has knowledge of Google Cloud., • Is familiar with Argo Workflows, Metaflow and SQS/event-driven patterns., • Has deep Kubernetes/EKS operations experience. What you'll get: • The opportunity to build a company solving the world’s most urgent sustainability challenge., • A high-impact role in a mission-driven team., • Enhanced parental, carers, compassionate, and emergency leave., • Competitive compensation + equity package., • Chance to quickly grow personally and professionally., • Regular off-sites to reflect, plan, and bond as a team., • Dedicated learning & development budget., • Wellness and lifestyle benefits package. Find out more about us at ___

Experis Software Engineer Perm Salary DOE London (Hybrid) DV or SC Clearance Essential Our client, a rapidly growing deep-tech consultancy, urgently require an experienced Software Engineer to join their team on a permanent basis. In order to be successful, you will have the following experience: • Experienced Software Developer/Engineer, • Strong background within Python, C++, C#, SQL, TypeScript, • Experience of Palantir technology is a bonus, • DV or SC Clearance is essential Within this role, you will be responsible for: • Delivering strategic advisory, engineering delivery, and enablement services to Government and commercial clients., • Solve user problems by drawing source and captured data into a single foundational data model and building operational workflows that materially change the decisions made, • Work closely with clients, to tailor products and services, • Design solutions for client problem sets based on their descriptions and by exploration of the data landscape, • Assist in the design, development, and maintenance of data pipelines and ETL processes to build data and action models to address the workflow needs, • Build and edit operational workflows, including front ends and decision-support toolsets, inclusive of native Palantir tooling and integrated front ends, • Collaborate with team members to implement AI and machine learning models against user problems, • Close working with clients, building deep and sustainable relationships that positions you/us as their “trusted advisor” For further information please contact

Senior Network Engineer – Arista/Fortinet Location: London Salary: 75-95k€ For one of our clients we’re looking for a skilled Senior Network Engineer to help build and maintain resilient, high-performance network infrastructure that supports critical real-time environments. This position is ideal for engineers with deep routing expertise, strong architectural insights, and experience delivering robust network solutions in demanding enterprise settings. What you’ll do • Translate designs into detailed configurations and deployment plans, working closely with architecture leadership to ensure feasibility and operational excellence., • Lead implementation of core network infrastructure projects focused on availability, scalability and performance across distributed systems., • Configure and manage network routing, switching and security components, with emphasis on strong access controls and segmentation following modern principles like least-privilege/zero-trust., • Deliver 3rd-line operational support and escalation management for critical production incidents, including deep diagnostics and root cause analysis., • Establish and maintain network standards, best practices, and operational playbooks to support consistency and compliance., • Onboard and configure new connectivity with external partners and hosted environments, ensuring reliable integration and performance. Your profile • Proven hands-on experience designing, deploying and operating Layer-3 routing architectures, including multi-peer BGP, VRF and resilient topologies., • Strong routing, switching and network troubleshooting skills, capable of deep-dive analysis across LAN, WAN and data centre environments., • Familiarity with infrastructure hardware (e.g., enterprise switches/routers) and resilient network design patterns prioritising high throughput and low-latency delivery., • Solid foundation in network security concepts and configuration management to enforce secure practices., • Excellent communication skills with an ability to document and articulate complex designs, technical decisions and operational processes. Desirable • Experience with infrastructure automation tooling (Terraform, Ansible) and scripting languages such as Python to support configuration management and process automation., • Exposure to network observability, telemetry or performance-monitoring tooling. Why this is exciting • Work on core connectivity systems that are essential to mission-critical operations., • Influence architectural decisions and help shape engineering standards within a technology-driven team., • Opportunity to solve challenging problems and expand your domain expertise within a fast-moving environment.

About Us We're an early-stage B2B procurement company that is revenue generating and solves genuine operational problems. We have a proven revenue stream which is expected to double in the next year. Due to this proven success, we are now expanding our operation to include a data-heavy platform for our customers. This is a ground-up build. We have a defined product vision, and customers waiting. We're just looking for the right person to build it with us. The Role We are looking for a remote full-stack developer to be our first technical hire. You'll own the full stack and work directly with the founder on every major technical decision. You will be the technical expert so it is crucial you can explain technical details to a non-technical audience. Think of short feedback loops, real autonomy with no committees. This is a greenfield build. You won't be maintaining anyone else's code so everything you create will also have to be thoroughly documented for future engineers as we expand the department. Key Responsibilities • Development and full ownership of our core platform., • Comfortable with multi-organisational architecture that you will design and build., • Build intelligent document generation workflows., • Implement a task and action system for an internal operations team., • Develop automated data collection from multiple third-party services, • Write clean, documented, testable code throughout., • Contribute meaningfully to product and architectural decisions., • 3+ years commercial experience with a significant portion as a full-stack engineer., • Strong experience with Node.js andReact.js — component architecture, state management, hooks, REST API development, authentication, middleware., • PostgreSQL — schema design, query optimisation, migrations., • Comfortable with multi-tenant SaaS architecture and making design decisions independently., • B2B SaaS, internal tooling, or enterprise software background., • PDF generation — Puppeteer, React-PDF or similar., • TypeScript., • Cloud engineering— AWS, Azure or similar., • Base salary, £45-60k DOE, • Exceptional equity package, you're joining early and this is reflected in your ownership stake., • 28 days holiday plus UK bank holidays., • Remote with ome day in office, • Be part of a management team., • A technically interesting problem, which you can fully own.

Full Stack Product Engineer (London) We’re looking for a Full Stack Product Engineer to help build and scale a high-growth product in a fast-paced environment. This role is ideal for someone who enjoys working across the stack, shipping features quickly, and solving real user problems. Responsibilities • Build and own user-facing features end-to-end, • Develop new product capabilities (including AI-powered features), • Optimise application performance, scalability, and reliability, • Work closely with users to understand needs and deliver solutions, • Experience in product-focused engineering environments, • Strong skills in TypeScript, Node.js, and React, • Experience with modern frontend tooling (e.g. Tailwind or similar) is a plus, • Solid knowledge of relational databases (e.g. PostgreSQL), • You’re a hands-on builder who enjoys creating products from scratch, • Comfortable working in fast-paced, evolving environments, • Interested in startup or high-growth settings, • Collaborative, pragmatic, and user-focused, • London-based role with primarily in-office working, • Competitive salary, • Relocation support available for candidates moving to London from within the UK

Blockchain is connecting the world to the future of finance. As the most trusted and fastest-growing global crypto company, it helps millions of people worldwide safely access cryptocurrency. Since its inception in 2011, Blockchain has earned the trust of over 90 million wallet holders and more than 40 million verified users, facilitating over $1 trillion in crypto transactions. We are looking for a Infrastructure Security Engineer with a proven track record in keeping systems safe. You will play a critical role in building and providing tooling that monitors our entire stack, from supporting our consumer-facing products and our institutional offerings to ensuring that we are capable of rapidly responding to cyber attacks on our colleagues and endpoints. Throughout our company, Security is a well-established mindset that leverages novel engineering approaches - as a Senior Infrastructure Security Engineer, you will lead by example and drive technical discussions with engineering teams and influence the overall architecture of our platform. Our day-to-day work is interesting and dynamic, driven by a focus on proactive threat actor identification and in-depth investigation of security issues. These practices are key to ensuring strong product security and fostering continuous, iterative improvement. WHAT YOU WILL DO: • Design, build, and implement security controls, automation, and processes across product, platform, and infrastructure environments., • Identify operational and technical security gaps, propose solutions, and drive engineering initiatives to close them., • Collaborate with the SRE and engineering teams to integrate security into CI/CD pipelines, deployment workflows, and cloud-native architectures., • Build automated tooling and services to enforce secure configurations, detect misconfigurations, and support continuous compliance., • Assist in threat modeling, design reviews, and architectural assessments for new and existing systems., • Contribute to internal security documentation, best practices, and developer guidance., • Participate in security incident response when engineering expertise or automation support is needed. WHAT YOU WILL NEED: • 4+ years of experience in security engineering, platform security, or DevSecOps roles., • Hands-on experience implementing security controls and automation within cloud environments, GCP or AWS are preferred., • Proficiency in modern scripting, automation and infrastructure as code e.g. Python, Bash, Go, Terraform, or similar., • Ability to collaborate closely with engineering teams and translate security requirements into practical, scalable solutions., • Strong analytical and problem-solving skills, with a bias toward automation over manual workflows., • Curiosity, ownership, and a drive to continuously improve the security posture of complex systems., • Familiarity with some of the following: Cloudflare (DDoS protection, WAF), OSS SIEM tools (Splunk, Elastic, etc), Incident management platforms (e.g. Incident.io, PagerDuty), • Familiarity with at least one of the following CI/CD systems (Github Actions, Concourse, CircleCI), • Familiarity with maintaining HIDS systems (Wazuh preferred). NICE TO HAVE • Knowledge of security standards and governance frameworks (e.g., CIS Benchmarks, NIST, SOC2, ISO 27001, PCI DSS) and how to operationalize them., • Hands-on experience with building and maintaining a SIEM comprised of open-source and hosted components, • Experience securing consumer-facing web and iOS / Android applications, • Experience designing policies and administering Vault & other Hashicorp products., • Experience managing security vendors COMPENSATION & PERKS • Full-time salary based on experience and meaningful equity in an industry-leading company, • This is a role based in our London office, with a mandatory in-office presence four days per week., • Work from Anywhere Policy: You can work remotely from anywhere in the world for up to 20 days per year., • ClassPass, • Unlimited vacation policy; work hard and take time when you need it, • Apple equipment, • The opportunity to be a key player and build your career at a rapidly expanding, global technology company in an emerging field, • Flexible work culture Blockchain is committed to diversity and inclusion in the workplace and is proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, religion, color, national origin, gender, gender expression, sex, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, and apprenticeship. Blockchain makes hiring decisions based solely on qualifications, merit, and business needs at the time. You may contact our Data Protection Officer by email at . Your personal data will be processed for the purposes of managing Controller’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of Regulation (EU) 2016/679 (General Data Protection Regulation) as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller’s behalf. Accordingly, if you are located outside of the United States, your personal data will be transferred to the United States once you submit it through this site. Because the European Union Commission has determined that United States data privacy laws do not ensure an adequate level of protection for personal data collected from EU data subjects, the transfer will be subject to appropriate additional safeguards under the standard contractual clauses. Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Under the GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have the right to data portability. In addition, you may lodge a complaint with an EU supervisory authority.

Software Engineer London (Soho) | 4 Days in Office | £40,000–£50,000 + Equity We’re partnering with one of the most exciting consumer tech startups in London, building the next generation of social products. Over the last few years, the team built one of Europe’s fastest-growing consumer apps, scaling from zero to millions of users, reaching #1 on the US App Store and supporting over a billion pieces of user-generated content. Now, they’re starting again — with bigger ambitions, a new product and the backing to scale fast. The business is launching a brand new AI-powered social platform focused on private groups, shared experiences and custom-built chat experiences. Think less public social media, more “digital living room” for friends. This is a rare chance to join a high-performing engineering team right at the start of a major new product launch, with the opportunity to build for millions of users from day one. The Role: This is a genuinely cross-functional software engineering role. You’ll work across backend systems, mobile applications and internal tooling, helping shape both the product and the engineering culture as the company prepares for a major growth phase. The environment is highly collaborative, fast-moving and AI-native. Engineers are expected to be comfortable using AI tooling in their day-to-day workflow and open to learning new technologies as the stack evolves. Current technologies include: Backend: Node.js and Rust Mobile: Swift Internal tooling and automation powered heavily by AI You do not need prior experience across every part of the stack, but you do need to be excited by the idea of learning quickly and working across multiple areas. What They’re Looking For • 1–2 years of software engineering experience, although strong graduates will also be considered, • Strong fundamentals in at least one programming language, • Open-minded approach to technology and tooling, • Interest in consumer products, social platforms or startup environments, • Comfortable working in a fast-paced, high-ownership environment, • Curious, adaptable and excited by AI-assisted development, • Mobile experience is a bonus, but not essential, • Startup or scale-up experience is helpful, but not required, • This team is not looking for people who want to stay in one lane forever. They want engineers who are hungry, adaptable and excited by the idea of building whatever is needed to win. Why Join? • Ship products used by millions of people, • Solve genuinely difficult engineering problems around scale, social systems and AI, • Join a team that has already built and scaled a massively successful consumer product, • Learn directly from senior engineering leaders with deep startup experience, • See your fingerprints across the entire product, not just one small area, • Competitive salary plus meaningful equity, • Private healthcare and dental cover, • Learning and development budget, • MacBook, iPhone and full AI tooling access, • Regular team socials, lunches and company retreats, • 35 days holiday plus bank holidays, • Visa sponsorship available Interview Process: • Introductory conversation with the VP of Engineering, • Technical discussion focused on architecture, experience and problem solving, • No coding tests or whiteboard exercises, • Paid trial week available as part of the process, • If you want to build ambitious consumer products, move fast, learn quickly and join a team before its next major growth phase, this is a standout opportunity.

Software Engineer – Java / Python London (On-site) This is a hands-on software engineering role within a systematic hedge fund where technology sits at the core of the business. The systems you build directly support trading, research, and core operations, and your work will have real, measurable impact. You’ll join a well-established engineering team and work across a range of internal systems, primarily in Java, with exposure to Python and quantitative tooling. The role offers end-to-end ownership: taking requirements from idea through to production, working closely with engineers and business stakeholders to solve practical problems. The environment is fast-paced and collaborative, with a strong emphasis on clean engineering, learning by doing, and continuous improvement. No prior financial markets experience is require, training is provided. What you’ll do: • Build and maintain production systems used across the firm, • Develop features in Java, with opportunities to work in Python and MATLAB, • Take ownership of work from concept through deployment, • Collaborate with engineers and non-technical stakeholders to solve business problems, • Learn how systematic trading strategies and financial markets operate in practice, • Contribute to modern engineering practices including CI/CD, testing, and monitoring What we’re looking for: • 3–5 years of professional software engineering experience, • Strong Java development experience; Python experience or willingness to learn, • Ability to communicate clearly and work effectively in a team environment, • Background in banking front office technology or a high-calibre tech company is a plus, • Computer Science education preferred but not essential Nice to have: • Experience with Python or MATLAB, • Exposure to AWS, Docker, or Kubernetes, • Interest in financial markets and systematic trading, • Curiosity about new technologies and best practices

12x Senior Java Engineers — Contract - (Financial Services / Investment Management) • Location: London (Hybrid – Ideally 2 Days Per Week), • Engagement Type: Contract, • IR35 Status: Outside IR35, • Day Rate: £600 - £700 Per Day (Monthly Pay) Our client is a leading UK investment management platform currently undertaking a major back-office transformation programme. The programme centres on the integration of a third-party institutional custody and clearing platform, replacing legacy back-office infrastructure with a modern, cloud-native architecture built to handle high-throughput financial operations across settlement, custody, corporate actions processing, and reconciliation. The programme is multi-year, well-funded, and operating at pace. Engineers joining at this stage will be working on technically complex integration and platform problems with real impact across the business. Role Overview We are seeking multiple Senior Java Engineers to join the programme engineering team. You will be responsible for designing and delivering robust, high-performance Java services that integrate with both the incoming custody platform and existing internal systems. You will work within cross-functional agile squads and are expected to contribute from day one with minimal ramp-up. Key Responsibilities: • Design, develop, and deliver high-quality Java microservices in support of back-office platform integration, • Build and maintain RESTful and event-driven APIs supporting settlement, reconciliation, corporate actions, and custody workflows, • Integrate with third-party financial platform APIs and messaging systems, • Contribute to technical design discussions, architecture reviews, and solution documentation, • Write clean, well-tested, production-grade code with appropriate unit, integration, and contract testing coverage, • Participate in code reviews and uphold engineering standards across the squad, • Identify and resolve performance, reliability, and scalability issues, • Work closely with business analysts and platform specialists to understand domain requirements and translate them into technical implementations, • Support DevOps practices including CI/CD pipeline maintenance, deployment automation, and cloud infrastructure management Skills and Experience • Strong, demonstrable experience as a Senior Java Engineer in a production environment, • Proficiency in Java 11+ with Spring Boot, Spring Cloud, and associated ecosystem tooling, • Solid understanding of microservices architecture, RESTful API design, and event-driven patterns, • Hands-on experience with AWS (minimum two of: ECS, Lambda, SQS/SNS, RDS/Aurora, S3, API Gateway, CloudWatch), • Experience with message streaming platforms, preferably Apache Kafka, • Competency with containerisation using Docker and orchestration via Kubernetes, • Strong unit and integration testing discipline (JUnit, Mockito, contract testing), • Familiarity with CI/CD tooling (Jenkins, GitHub Actions, or equivalent), • Experience working in agile delivery environments within complex, multi-team programmes Desirable: • Background in financial services, particularly back-office operations such as settlement, custody, corporate actions, or reconciliation, • Experience integrating with third-party financial platforms or custodians, • Familiarity with Camunda BPM or workflow orchestration tooling, • Exposure to infrastructure-as-code (Terraform, CloudFormation), • Knowledge of FIX protocol, ISO 20022, or financial messaging standards This role is being managed exclusively by a specialist FS technology contract recruitment consultancy. All applications will be handled in strict confidence.

Who We Are: IMG is a leading global sports marketing agency, specializing in media rights management and sales, multi-channel content production and distribution, brand partnerships, strategic consulting, digital services, and events management. It powers growth of revenues, fanbases and IP for more than 200 federations, associations, events, and teams, including the National Football League, English Premier League, International Olympic Committee, National Hockey League, Major League Soccer, ATP and WTA Tours, the AELTC (Wimbledon), Euroleague Basketball, CONMEBOL, DP World Tour, and The R&A, as well as UFC, WWE, and PBR. IMG is a subsidiary of TKO Group Holdings, Inc. (NYSE: TKO), a premium sports and entertainment company. TKO Group Holdings, Inc. (NYSE: TKO) is a premium sports and entertainment company. TKO owns iconic properties including UFC, the world’s premier mixed martial arts organization; WWE, the global leader in sports entertainment; and PBR, the world’s premier bull riding organization. Together, these properties reach 1 billion households across 210 countries and territories and organize more than 500 live events year-round, attracting more than three million fans. TKO also services and partners with major sports rights holders through IMG, an industry-leading global sports marketing agency; and On Location, a global leader in premium experiential hospitality. This role is being hired into Cingularity a division of IMG Studios who are specialists in bespoke live video networking and production solutions. Cingularity operate at each stage of the remote production workflow, delivering quality network designs and primary distribution services to premium broadcast networks and sports rights holders globally. Please follow this link to understand more about Cingularity’s work: ___ IMG acquired Cingularity in September 2022 to provide the expertise to guide IMG’s remote production evolution toward a hybrid model of fibre, satellite, cloud and IP. IMG is a leading global sports marketing agency, specializing in media rights management and sales, multi-channel content production and distribution, brand partnerships, strategic consulting, digital services, and events management. Working Conditions: Permanent, London, Spitalfields, London, United Kingdom Hybrid Mon-Fri, 9am-5pm What You'll Do: The Senior Network Engineer (NetOps) at Cingularity is a pivotal role demanding technical expertise and innovative thinking. As a core member of our engineering team, you will be responsible for designing, building, and maintaining the complex infrastructure that powers our mission-critical transmission systems. This position is designed for an engineer who can bridge the gap between traditional networking methodologies and modern NetOps practices. You will take ownership of our core networking infrastructure—including a specialised DTM (Dynamic Synchronous Transfer Mode) network—while strategically introducing automation to enhance resilience and performance. While you will assist with the development of observability tools, 24/7 monitoring is managed by our Technical Operations Centre (TOC), supported by a joint effort between Systems, Broadcast, and Network Engineering teams. Global Telemetry & Network Management • Core Routing & Switching: Design and operate distributed systems with an advanced understanding of OSPF and BGP., • Multicast Routing: Maintain a solid understanding of Multicast routing to ensure efficient data delivery across broadcast environments., • DTM Specialisation: Take primary responsibility for the management and optimisation of the DTM network, ensuring it meets the rigorous demands of live broadcast., • Global Telemetry: Manage and refine a global telemetry network to ensure consistent data flow and visibility across all international transmission points., • Capacity Planning: Manage network capacity and advise on hardware/bandwidth upgrades triggered by business growth and specific customer projects., • Infrastructure Security: Take ownership of network security, implementing best practices for access control and protection across the entire ecosystem., • Firmware & Lifecycle Management: Manage and execute regular firmware upgrades, patching, and maintenance across all network hardware to ensure stability and mitigate vulnerabilities., • Internal Tooling: Build and refine monitoring techniques where the primary "customers" are our internal TOC and Event Engineering teams., • Observability Design: Utilise and assist in the development of modern monitoring and logging systems (e.g., Prometheus, Grafana, ELK/OpenSearch) and the Netbox source of truth., • Automation Development: Implement automation strategies for infrastructure management using tools such as Ansible, Python, and shell scripting., • Level 3 Troubleshooting: Proactively monitor performance and serve as a level 3 escalation point for complex networking issues, • Team Guidance: Mentor and collaborate with technology teams on engineering projects and the resolution of high-level technical issues., • Training: Assist engineers in learning networking concepts and the specific architecture of the Cingularity network., • Project Delivery: Lead technical network projects from concept to deployment, meeting schedules and budget constraints. You Have These: Required • Networking Expertise: Advanced knowledge of the TCP/IP Stack, including switching and routing protocols (OSPF, BGP)., • Network Security: Proven experience in securing network infrastructure and managing hardware firmware lifecycles., • Multicast Routing: Practical experience with Multicast protocols in a production environment., • Automation: Demonstrable experience using Python and Ansible for automation, scripting, and integration., • IPAM/DCIM: Experience using Netbox for infrastructure documentation and management., • Monitoring: Practical experience with modern observability tools like Grafana, ELK, and InfluxDB. Advantageous • Advanced Broadcast Standards: Knowledge of SMPTE ST 2110 networks and related timing/synchronisation requirements., • Legacy & Specialised Transport: Direct experience with DTM (Dynamic Synchronous Transfer Mode) or ATM technologies., • Version Control: Experience using GitHub for managing automation scripts and configuration., • Broadcast Protocols: Understanding of real-time transport protocols (RTP, UDP, SRT, Zixi) and video encoding (AVC, HEVC, JPEG-XS)., • Project Management: Experience with tools such as ClickUp, Monday.com, or Jira. Soft Skills • Communication: The ability to clearly articulate complex technical concepts to both technical and non-technical stakeholders., • Focus Under Pressure: The ability to remain focused under pressure and maintain the highest standards of accuracy in a live environment., • Proactive Mindset: An organised and self-motivated individual who proactively seeks innovative solutions. TKO EEO Statement: TKO is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws regarding non-discrimination in employment. TKO makes employment decisions based on merit and qualifications, without considering an employee’s or applicant’s race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, marital status, veteran status, or any other basis prohibited under federal, state or local laws governing non-discrimination in employment in every location in which the Company has facilities. TKO also provides reasonable accommodations for qualified individuals with disabilities in accordance with the Americans with Disabilities Act (ADA) and applicable state or local laws. For information about Privacy and Information Security for TKO employment candidates, please review our ___. For information regarding Terms of Use for this and other TKO websites, please review our ___

Job Title: B1 Licensed Aircraft Engineer Salary: £79,735 per annum plus shift allowance (£7,725) plus sign on bonus Location: London City Airport We currently have a vacancy to join a British, regional airline as a B1 Licensed Aircraft Engineer, to be based out of London City airport. Established almost 20 years ago, they currently have a fleet of 20 aircraft and operate a network of domestic and European services serving both the business and leisure markets. They hold a UK CAA Type A Operating Licence. The B1 Licensed Aircraft Engineer- UK CAA Part 66 will join the close- knit line maintenance team where you will be delivering precision engineering on a modern Embraer fleet. You will work in a fast- paced environment shaped by short runways, steep approaches and high- frequency ops. You will gain broad exposure across scheduled and unscheduled maintenance and be part of an operation that values training, innovation and regulatory excellence. You will be responsible for the routine servicing and defect rectification of their Embraer E190 fleet, operating in one of the most unique and challenging airport environments in Europe. You’ll also play a key role in AOG recovery and help maintain a safe, compliant, and high-performance operation in a fast-paced setting where precision and teamwork are everything. You will be able to demonstrate sound knowledge of current CAA Part 145 procedures, be flexible in your approach to meet their operational challenges at London City Airport and across the network using some of the latest technology. They operate a 5-5-4 shift pattern with a 2 weekends off per month guaranteed (day and night shifts or solely night shift) Main Responsibilities: • Lead by example in setting and upholding standards of behaviour, performance, and technical excellence within the maintenance team., • Carry out scheduled/ unscheduled maintenance and defect rectification on Company aircraft as allocated by the Aircraft Maintenance Supervisor or Line Maintenance Manager, • Deputise for Aircraft Maintenance Supervisor., • Maintain the highest airworthiness, quality, safety and performance standards and ensure all company and legal requirements belonging to aircraft maintenance., • Exercise fully the privileges of the company authorisations held., • Support company charters and the recovery of AOG and casualty aircraft as required on network., • Work to the required Company and Health & Safety standards, • Carry out or arrange for the maintenance and/or repair of Company tooling, equipment and vehicles, • Complete and maintain compliance with all Company training requirements required to carry out the role Benefits Include: • Basic salary of £79,735 per annum, • Annual shift allowance of £7,725, • Sign on bonus of £3,000, • Overtime available at current rate x 2 for days and nights, • 26 days holiday plus bank holidays (34 total), • Pension plan- 4% employee contribution and 6% employer contribution with the option to increase employee contributions., • Life assurance- 4 x annual basic salary, • Company sick pay, • Referral bonus scheme, • A range of salary sacrifice schemes including electric vehicle scheme and cycle to work scheme, • Gym and retail discounts, • Staff travel benefits including unlimited basic and premium standby tickets on worldwide flights through our parent company. You will also receive up to 30 discounted airfares per year for yourself, family and friends About You: • CAA Part-66 Category B licence -Unrestricted B1, B2 or B1/B2, • A minimum of 1 type rating held (Embraer E190 Type rating desirable but not essential- training can be provided), • Experience with both scheduled and unscheduled line maintenance, • Valid full UK driving licence (or equivalent), • Ability to hold an airport restricted zone access, • Ability to hold an airside driving licence, • Strong communication skills, • Ability to demonstrate a flexible approach to duties, • Ability to work on own initiative and under minimal supervision, • A willingness to extend licence coverage and attend and pass aircraft type courses as required, • Ability to work to all approved Company documents, Procedures and Policies, • To take pride, ownership and responsibility for work completed, • A willingness to provide support to all individuals and teams within the company, • Ability to represent the Company in a professional and respectful manner About Aeropeople: Whether you’re looking for your next job or searching out the next superstar to join your team… Aeropeople’s expertise and experience is entrenched in the aerospace, aviation, engineering, motorsport, automotive, and defence industries. We have the insight and know-how at both a local and international level to help bring people and businesses together, saving time and energy. Our capability is validated through our Engineering Services division encompassing Aircraft Line Maintenance services and Continuing Airworthiness Maintenance Organisation (CAMO), combined with our Aviation Training division offering technical training aircraft courses. During registration, please let us know where you are currently located or which locations you would consider taking a position in, required salary and notice period. For the latest news, events and jobs please search ‘Aeropeople Ltd’ on LinkedIn and Facebook for our latest jobs

About This is an early-stage robotics company building the intelligence layer for industrial machines – forklifts, cranes, excavators and other heavy equipment. They’re hiring a Senior Full-Stack Engineer to own the product experience around teleoperation and fleet workflows. You’d lead a new UX/UI build, with the expectation that the system will support a much larger fleet next year. The operator console is not a dashboard. It is the control surface for real machines working in real environments. Latency, clarity, video quality, workflow design, and operator trust all matter at once. They need someone senior enough to build the application holistically, make sensible product calls, and operate without heavy supervision. What you'll do • Own the teleoperation UI/UX and operator console end-to-end, • Build responsive real-time interfaces around video, machine state, and operator workflows, • Develop frontend architecture that can support fleet growth and more complex workflows, • Work across frontend and backend boundaries to ship complete product features, • Improve usability for operators managing high-consequence machine tasks, • Partner with robotics and platform teams to expose the right controls and telemetry, • Help shape the long-term direction of fleet management tooling. What you'll need • Strong full-stack engineering experience, with clear frontend depth, • Excellent React and TypeScript skills, • Experience building real-time product interfaces, ideally with streaming or live state, • Good product judgment and the ability to build independently, • Comfort operating in a fast-moving startup with incomplete specs, • Ability to work closely with technical users and translate operational pain into product Optional Bonus • WebRTC experience, • Exposure to agentic workflows or AI-assisted operator systems Shortlisted candidates will be contacted within 48 hours.

Circadia Health is a growth‑stage healthcare AI company on a mission to prevent avoidable hospitalizations and transform senior‑care operations. Our Circadia Intelligence Platform combines: • Contactless sensing that monitors respiration and motion with medical‑grade accuracy, • Predictive analytics & agentic AI workflows that detect 85 % of preventable rehospitalizations ~11 days in advance, • Enterprise integrations that embed insights directly into EHR, care‑coordination, billing, and compliance systems Today our technology touches 40,000+ post‑acute patients daily across skilled‑nursing, home‑health, and home‑care networks. We are backed by leading healthcare and AI investors like Khosla Ventures, Village Global, Headline, Eric Yuan (CEO of Zoom), and others. Position Overview As an ML Ops Engineer at Circadia Health, you will own the infrastructure and operational lifecycle of the machine learning systems that power our clinical monitoring platform. You will build and maintain the production ML pipelines, deployment infrastructure, and monitoring systems that enable Circadia's predictive models to identify early signs of clinical deterioration. Reporting to the Principal ML Engineer, you will work across ML, backend, data, and clinical teams to ensure models are reliably trained, versioned, deployed, and monitored in both cloud and edge environments. You will be a key driver in elevating Circadia's ML practice – from reproducibility and experiment tracking to CI/CD for models and operational observability. This is a high-ownership role at a lean company where production reliability, rapid iteration, and pragmatic engineering are essential. Your work will directly impact patient outcomes by ensuring our predictive models are always running, always accurate, and always improving. Key Responsibilities ML Pipeline Orchestration & Automation • Own and extend Circadia’s ML pipeline orchestration using Apache Airflow, including training, evaluation, and deployment workflows., • Build and maintain automated pipelines for model retraining, validation, and promotion across development, staging, and production environments., • Implement pipeline monitoring, alerting, and failure recovery to eliminate silent failures and ensure operational reliability., • Deploy and manage ML models on AWS infrastructure (e.g. AWS Batch for batch inference workloads)., • Support deployment of models to edge devices, including Circadia’s clinical monitoring hardware, working with firmware and embedded engineering teams as needed., • Manage model versioning, promotion, and rollback workflows through the MLflow model registry., • Maintain and improve the MLflow-based experiment tracking and model registry infrastructure., • Establish conventions for experiment logging, artifact storage, model metadata, and lineage tracking., • Implement and maintain training data versioning and dataset management practices to ensure reproducibility of model training runs., • Track dataset lineage, labeling provenance, and feature dependencies alongside model versions., • Build monitoring systems for model performance in production, including data drift detection, prediction quality tracking, and alerting on degradation., • Implement operational dashboards for pipeline health, compute utilisation, and deployment status., • Collaborate with data engineering to ensure upstream data quality and pipeline reliability for ML feature inputs., • Manage and optimise AWS compute resources (Batch, EC2, or similar) used for model training and inference., • Design infrastructure-as-code solutions for reproducible ML environments., • Drive cost optimisation across ML compute, storage, and data transfer., • Introduce and champion ML engineering best practices including CI/CD for models, automated testing for ML pipelines, and reproducible training workflows., • Build internal tooling and templates that accelerate the ML development-to-production cycle., • Document operational processes, architecture decisions, and onboarding materials for the ML platform., • Ensure all ML pipelines and infrastructure meet healthcare security and privacy requirements, including HIPAA and SOC 2., • Apply best practices for handling Protected Health Information (PHI) in training data, model artifacts, and inference outputs., • Maintain audit trails for model decisions, data access, and deployment history. Attributes Required Qualifications • 4+ years of experience in MLOps, ML Engineering, DevOps, or a closely related infrastructure role., • Strong proficiency in Python for ML pipeline development, tooling, and automation., • Hands-on experience with ML pipeline orchestration tools, particularly Apache Airflow., • Experience with model registries and experiment tracking platforms (MLflow preferred)., • Experience deploying and operating ML workloads on AWS (Batch, EC2, S3, IAM, CloudWatch)., • Solid understanding of the ML lifecycle: training, evaluation, deployment, monitoring, and retraining., • Experience with containerisation (Docker) and infrastructure-as-code., • Proficiency with Git and version control workflows., • Familiarity with SQL and data warehousing platforms (Snowflake preferred)., • Experience implementing monitoring, logging, and alerting for production systems., • Strong debugging and incident response skills for complex distributed systems. Preferred Qualifications • Experience deploying models to edge or embedded devices., • Background in healthcare, medical devices, or clinical data systems., • Familiarity with model serving frameworks (e.g., TorchServe, TF Serving, Triton, or custom solutions)., • Experience with CI/CD systems for ML (e.g., GitHub Actions, Jenkins, or similar)., • Experience with data versioning tools (e.g., DVC, LakeFS, or similar)., • Experience supporting data science or ML research teams in a production context., • Exposure to HIPAA compliance and healthcare security best practices., • Experience with distributed compute frameworks (e.g. Apache Spark, Dask) for large-scale data processing., • Experience with streaming or real-time inference architectures. What You Bring • You take ownership of ML infrastructure end-to-end — from training pipelines to production monitoring., • You care deeply about reliability, reproducibility, and operational excellence in ML systems., • You have strong opinions (loosely held) on how to build a great ML platform, and you’re eager to put them into practice., • You are comfortable working in a startup environment where you’ll wear multiple hats and move fast., • You communicate clearly across engineering, data science, and clinical teams., • You’re motivated by building technology that directly improves patient care. Why Circadia Health Circadia Health is redefining patient monitoring through contactless sensing and AI-driven clinical insights. As we scale from tens of thousands to hundreds of thousands of monitored patients, our data infrastructure is central to everything we do. You’ll have the opportunity to: • Work on real-world healthcare problems with measurable patient impact, • Build data systems that power clinical-grade AI and ML, • Take ownership in a fast-growing, mission-driven company, • Collaborate with a highly skilled, multidisciplinary team.

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

Mechanical Design Engineer (CAD Tooling) – Greenwich – circa £50-55,000 + Bonus + Excellent Benefits – Permanent Job Description: Our client is seeking an experienced Mechanical Design Engineer to play a key role in the industrialisation and introduction of cutting-edge submerged products into production. This long-term contract offers the opportunity to lead on defining, designing and validating complex tooling and equipment solutions, ensuring efficient assembly processes that deliver exceptional quality and reliability. Key Responsibilities: • Lead collaboration with Supply Chain and R&D teams to support the industrialisation of new products., • Define, design and optimise tooling and equipment, including jigs, lifting fixtures and workstations, for efficient assembly and testing., • Recommend and implement alternative tooling solutions to improve efficiency, safety and reliability., • Use Creo CAD to develop and model advanced tooling concepts., • Present tooling solutions and influence key stakeholders., • Identify and source external equipment to strengthen production capabilities., • Manage relationships with tooling manufacturers to ensure delivery, compliance and quality standards are met., • Inspect and validate new tooling against specification, calibration and inspection requirements., • Oversee tooling validation and qualification model builds. Requirements: • Degree (or equivalent) in Mechanical/Manufacturing Engineering., • Proven track record in designing tools, fixtures and equipment for complex assembly/manufacturing environments., • Proficiency in CAD tooling preferred., • Strong ability to apply reliability engineering judgement., • Experience with FEA (Ansys) for stress/simulation analysis., • Significant experience in technical/manufacturing environments, ideally within high-reliability sectors., • Excellent interpersonal, communication and leadership skills. How to apply: To apply for this excellent opportunity, please send your CV via Linkedin

Role: DevOps Location: London Salary: Up to £250k We’re looking for a DevOps / Platform Engineer to build, operate, and evolve the infrastructure and tooling used by trading teams and quantitative researchers. The role sits at the intersection of low‑latency colocation networks, containerised applications, and observable, automated infrastructure, with a strong focus on reliability, performance, and self‑service tooling. Key responsibilities • Design, deploy, and operate containerised services and internal tools used by trading desks and quants (Python‑based backend services, APIs, data pipelines)., • Maintain and optimise low‑latency systems in colocation environments, collaborating with trading and infrastructure teams on performance and resilience., • Build and extend network automation workflows to configure and manage trading infrastructure (routers, switches, security, and connectivity)., • Define and implement observability for services and infrastructure using metrics, logging, and alerting (e.g., Prometheus, Grafana, and related tooling). Key requirements • Strong backend development experience with Python, including experience building APIs (e.g., FastAPI or similar frameworks)., • Experience with Prometheus‑style observability: metrics, alerting, and dashboards; familiarity with Grafana is a plus., • Hands‑on experience with ClickHouse or similar high‑performance data stores is a strong advantage., • Practical experience with network automation; Ansible or similar configuration‑management tools are beneficial., • Experience running and maintaining container orchestration platforms, ideally Nomad; Kubernetes experience is also acceptable., • Solid networking knowledge, particularly with Arista EOS and data‑centre networking concepts., • Some front‑end experience with React or similar frameworks is considered a minor plus., • Familiarity with Git, CI/CD pipelines, and infrastructure‑as‑code practices (e.g., GitOps, declarative config). Apply now for an confidential chat!

Job Title: Senior Cloud Engineer (contract) Location: London Hybrid. Travel to the London office on 3 days a week Duration: 11 months Contract Start Date: ASAP *note client onboarding takes 6 weeks from offer Day Rate: Competitive (Inside IR35) Deloitte Working with the Deloitte Associate (Contractor) Programme means we can offer you the opportunity to work on a variation of industry and client related projects. Our aim is to retain the best talent and so when your project end date nears our team of Talent Community Advisors will be working with you to look at alternative projects within the firm that suit your experience should you wish to continue with Deloitte. The Role We are looking for experienced Senior Cloud Engineers to work in the Technology and Transformation Team at Deloitte. You will work with one of our global financial services clients. This position requires a solid engineering experience as per the tech listed below, preferably with Financial Services experience. Your professional experience • 10 years Cloud Engineering experience with AWS and GCP, • Snowflake, • Cloud Dev Ops, • Java, • Python, • CI/ CD Pipeline Dev, • Kubernetes, • Terraform, • Software engineering for AWS, • DevOps tooling Deliverables: Responsibilities but not limited to: • Perform software engineering activities for AWS by developing and maintaining applications using Java and Python., • Implement and manage comprehensive Cloud Dev Ops practices, including CI/ CD Pipeline Dev, container orchestration with Kubernetes, infrastructure as code using Terraform, and utilisation of relevant DevOps tooling., • Engineer, optimise, and maintain data warehousing solutions within Snowflake. IR35 As a means of managing tax, commercial and reputational risks, Deloitte prohibits the use of Associates through Personal Service Companies (‘PSCs’). All Associates must contract under PAYE arrangements through a Deloitte approved ‘Employment Company’ (aka ‘umbrella company.’)

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

Senior Cloud / Platform Infrastructure Engineer Permanent | London (Hybrid – 3 days onsite) We’re hiring a Senior Cloud Infrastructure / Platform Engineer to help design, build, and operate a highly available, Kubernetes‑based platform running real‑time, mission‑critical systems. This is a hands‑on, senior‑level role for someone with a strong background across architecture, delivery, and build, who has worked closely with software engineers in small, high‑ownership teams. You’ll have real influence over how the platform is designed and evolved, not just how it’s operated. If you enjoy owning complex systems end‑to‑end, care deeply about reliability and performance, and are comfortable making technical decisions that scale - this role will suit you. What you’ll be doing • Designing, building, and owning AWS‑based infrastructure using Terraform and Kubernetes, • Leading the evolution of a Kubernetes‑first platform (EKS), including networking, ingress, scaling, and security, • Building platform capabilities that enable engineers to ship safely and autonomously (CI/CD, observability, environments), • Debugging production systems across Kubernetes, cloud services, networking, and application layers, • Improving reliability, visibility, and operational standards across a distributed system, • Setting and enforcing best practices across infrastructure, delivery, and platform engineering What we’re looking for • Strong experience in cloud infrastructure / platform engineering, • Deep Kubernetes experience in production environments (EKS, Helm, ingress, scaling strategies, hardening), • Proven ability to design and deliver systems, not just operate them, • Comfortable working in small teams with high autonomy and accountability, • Solid AWS background (VPC, IAM, EC2, S3, RDS), • Infrastructure‑as‑Code mindset (Terraform or similar), • Confident troubleshooting complex, distributed production systems Nice to have (not essential) • Experience building internal developer platforms or self‑service tooling, • Exposure to Kafka, Postgres, Redis, or similar data infrastructure, • Experience operating in security‑ or compliance‑sensitive environments, • Background in high‑throughput, low‑latency, or real‑time systems Why this role • Genuine ownership of critical infrastructure, • High technical bar, low bureaucracy, • Real platform engineering, not ticket‑driven DevOps, • Opportunity to influence architecture and long‑term technical direction, • Work on systems where performance, reliability, and correctness matter If you’re a senior engineer who enjoys designing platforms, building them properly, and owning them in production, this is worth a conversation. Confidential applications welcomed.

Also advertised as Product Engineer About the Company At Alecto, we're on a mission to fix one of the UK's most broken consumer experiences: conveyancing - the legal process behind every property transaction. Today it’s slow, opaque, and failing. One in three property transactions fall through, complaints run 3.3x higher than any other legal sector. Many firms still rely on post and fax. We're building the UK's first AI-native law firm to change that. Backed by Firstminute Capital and a strong group of angel investors, we’re led by a founder who built and scaled Gen H, a fintech mortgage lender, to £1bn in annual lending and £5bn in financing. That hands-on experience in regulated financial services gives us a clear path to disrupt a fragmented £2.5 billion market. Conveyancing is our starting point. Our ambition is a full-service, AI-first law firm with global reach. About the Role We're looking for a Staff or Senior Product Engineers to join as an early member of our engineering team. We're a small team of generalists with deep experience in startups and who care about craft. We move fast, ship often, and hold ourselves to a high bar. From day one, you’ll help shape the product’s direction and ship features to production within your first week. Requirements will be fuzzy - you’ll talk to users, form hypotheses, and iterate quickly to define what to build. Responsibilities • Have worked at early-stage startups and driven product direction, • Think in terms of user problems, not just technical solutions, • Have scaled TypeScript projects, • Enjoy refining and customising your AI workflow into the early hours, • Building AI agents or LLM-powered systems that go beyond simple prompting, • Thrive in autonomy and owning your own work & projects, • Are genuinely excited by building products from the ground up Qualifications Bonus points for academic or applied experience in machine learning, especially if you can bridge the gap between research and production. Required Skills • Relentless about self-improvement and hold yourself to incredibly high standards, • See problems as solvable and find opportunity in challenges, • Energise the people around you in the process, • Own outcomes, fixing problems rather than waiting for someone else to, • Want to be measured on your impact, • Low ego and self-critical, open to feedback, • Give honest feedback directly and kindly Preferred Skills • A TypeScript monorepo, React, tRPC and Tailwind, • Inngest for background jobs and event-driven workflows, • Deployed on Google Cloud Platform with Postgres Pay range and compensation package • £100,000 - £150,000 depending on experience, • Meaningful early-stage equity - you'll be an owner, not just an employee, • 5% employer pension contributions, • Comprehensive private medical cover including dental and optical, • 25 days holiday plus bank holidays, • Your choice in AI tooling Equal Opportunity Statement Please let us know if there are any reasonable adjustments we can make to ensure you have the best experience interviewing with us! Hiring Process • Introductory Call (25 minutes), • Technical Test (2-3 hours), • Values Interview (1 hour)

Principal Java Engineer London – Hybrid (1 day per week onsite) Are you a senior/lead hands-on Engineer who thrives in event-driven, asynchronous environments? Do you enjoy building low-latency, high-throughput distributed systems where correctness, resilience, and performance really matter? This is an opportunity to work at the core of real-time payments infrastructure, helping to power instant transactions for some of the worlds largest banks. We’re hiring on behalf of a leading payments consultancy delivering mission-critical, event-driven platforms that integrate deeply with bank infrastructure to enable secure, real-time payments at global scale. What You’ll Be Doing You’ll play a senior individual-contributor role within a high-performing engineering team, building asynchronous, message-driven systems designed for scale, resilience, and near-zero downtime. • Design and implement high-throughput, low-latency systems processing millions of real-time payment events, • Build event-driven architectures using modern Java and reactive frameworks, • Work extensively with non-blocking I/O, asynchronous flows, back-pressure, and concurrency, • Contribute to system and API design, focusing on scalability, fault tolerance, and observability, • Collaborate closely with architects, engineers, and client teams across Europe, • Operate in Agile environments (Scrum / Kanban) with a strong engineering culture Tech Stack (current & evolving): Java 17+, Spring WebFlux, Akka, Kafka, reactive streams, distributed messaging, cloud-native tooling What You Bring We’re looking for engineers who enjoy thinking in events, streams, and asynchronous workflows, and who take pride in building systems that perform under pressure. • Strong hands-on experience with Java 11+ (ideally Java 17) in production environments, • Deep understanding of asynchronous and reactive programming models, • Proven experience with event-driven architectures and real-time messaging (Kafka, JMS, Akka, etc.), • Solid grasp of distributed systems concepts: concurrency, idempotency, fault tolerance, and resilience, • Experience building and testing production-grade systems using TDD/BDD and CI/CD pipelines, • Comfortable working on complex, long-lived systems where performance are reliability are critical Bonus (not essential): Experience in banking, payments, or financial systems, or if you’ve built real-time platforms at scale. What’s In It for You • £100,000 – £115,000 base salary (DOE), • 20% annual bonus, • Work on event-driven, real-time systems with global impact, • Hybrid working – 1 day a week onsite (more if you prefer), • Exposure to major international banks and payment networks, • A product-led, engineering-first environment where technical decisions matter

🚀 I’m partnering with a leading global high-performance technology team to hire a Site Reliability Engineer | Production Infrastructure 💡 THE OPPORTUNITY Join a cutting-edge engineering environment where systems reliability, automation, and performance are critical to global-scale, low-latency operations. This is a hands-on SRE + Systems Engineering hybrid role focused on building and operating highly resilient infrastructure platforms. ⚙️ WHAT YOU’LL BE WORKING ON 🔹 Building and evolving large-scale infrastructure automation 🔹 Designing observability, monitoring, and alerting systems 🔹 Improving reliability and reducing operational toil using SRE principles 🔹 Debugging deep system-level performance and latency issues 🔹 Managing CI/CD pipelines, containers, and Kubernetes workloads 🔹 Supporting global production systems across distributed teams 🔹 Driving continuous improvement across tooling and platform stability 🧠 WHAT WE’RE LOOKING FOR ✔ 5+ years Python and/or Go ✔ Strong Linux experience ✔ Solid CS fundamentals (data structures, algorithms) ✔ Experience with monitoring, metrics, or statistical analysis ✔ CI/CD and Git experience ✔ Background in infrastructure, platform engineering, or SRE-type roles ✔ Strong ownership mindset in production-critical environments 📍 WHY THIS ROLE? You’ll be working in a deeply technical, research-driven environment where engineering quality, speed, and reliability directly impact global-scale systems. High autonomy. High impact. High performance.

London, UK Contract Up to £700p/d (Outside IR35) We’re working with an early stage start up focused on AI HR tooling to drastically improve performance and efficiency. They are a small, focused team looking for a Senior Backend Engineer to help them scale up their AI platform and make a real impact. They are looking for an engineer with strong commercial use of either Java, Kotlin or Scala and proficiency with Python to help modernise their codebase. Responsibilities: • Build and scale backend systems for AI-driven automation products, • Collaborate with product and frontend teams on planning and decision-making, • Contribute to architecture, design, and scaling efforts, • Manage CI/CD pipelines and cloud infrastructure deployments, • Collaborate directly with our CEO and CTO to architect end-to-end backend solutions Key Requirements • Strong programming skills in the JVM ecosystem, • Some proficiency in Python, • 6+ years of backend development experience, • Proven experience with microservices architecture and RESTful APIs, • Proficient with both NoSQL and SQL databases, • Excellent communication skills, both written and verbal Why Join? • Salary: Competitive day rate of up to £700p/d, • Room for innovation with new tech, • Exposure to AI-driven products, • Hybrid working model and a collaborative culture, • Be a part of of a curious, motivated, nimble team making a real impact **Unfortunately, due to the high volume of applicants not all submissions will receive feedback.

Senior iOS Engineer - £100,000 – £120,000 | London | Hybrid 3 days a week in office. The Opportunity We’re partnered with a scaling SaaS business building intelligent mobile experiences for frontline and distributed workforces. This is a high-ownership iOS role within a small, high-impact mobile function, where you will have real influence across product direction, architecture decisions, and new strategic initiatives. The team is growing from 2 iOS engineers to 3, working alongside 3 Android engineers in aligned squads. This is a role for someone who enjoys autonomy, responsibility, and real product influence rather than being limited to component-level development. You’ll be joining a product-led engineering environment where mobile is a core part of the platform strategy. The Product The platform is a mobile-first employee experience and operational tooling product designed for distributed and frontline workforces. The team is currently focused on several strategic areas including: • AI-driven knowledge and search capabilities, • Smarter task and workflow management tooling, • New mobile experiences supporting operational productivity, • Ongoing platform and feature evolution Work will be a mix of new product development and ongoing platform refinement at scale. The Mobile Team & Culture You’ll be joining a dedicated mobile function within a collaborative, high-visibility environment. There is genuine influence across product and engineering, with engineers encouraged to contribute ideas and help shape technical direction. The team works in aligned iOS and Android squads, with flexibility depending on candidate strengths. A notable strength of the organisation is team longevity and retention, with several engineers having worked across the business for extended periods. This reflects the quality of the environment, leadership, and engineering culture. The team values ownership, speed, and pragmatic delivery over rigid process. The Tech Stack & Technical Expectations Strong, hands-on iOS development experience is essential, with a focus on deep technical understanding rather than surface-level implementation. The modern mobile stack includes: • SwiftUI (essential), • Full lifecycle mobile development (architecture through to delivery), • SQL databases, • Realm, • Familiarity with reactive patterns where relevant The team values engineers who understand how systems work at a deeper level, not just how to build features. What You’ll Be Doing • Building new strategic mobile features and experiences, • Contributing to mobile architecture and platform decisions, • Supporting intelligent product capabilities and workflow tooling, • Delivering high-quality production mobile software, • Improving and evolving existing mobile systems This role balances innovation with practical product delivery. What We’re Looking For ✅ Senior or strong mid-level iOS engineer ✅ Strong experience with SwiftUI ✅ Depth of understanding across mobile architecture ✅ Experience working in smaller teams or scale-up environments ✅ Ownership mindset and comfort working with ambiguity ✅ Pragmatic, product-focused engineering approach We are looking for specialists rather than generalists. Why This Role? ✅ Small, high-impact mobile team where your work directly shapes the product ✅ Opportunity to work on intelligent product experiences ✅ Real ownership across mobile engineering decisions ✅ Strong team culture and long-term tenure across engineering

A fintech start-up firm is seeking to retain a highly capable Software Engineer with deep AI expertise to help build the next generation of automation and intelligent systems within the investment industry. This is a unique opportunity to work directly with senior leadership to design, deploy, and eventually manage AI agents that streamline operations, enhance decision‑making, and transform how the firm scales. Responsibilities • Build and automate internal workflows across the firm using modern AI frameworks, • Develop, train, and maintain AI agents tailored to private equity use cases, • Integrate data sources, financial models, and operational tools into cohesive automated systems, • Work closely with investment and operations teams to identify automation opportunities, • Lead the technical roadmap for AI‑driven infrastructure and agent orchestration Qualifications • Bachelor's degree or equivalent experience in Computer Science or related field, • Strong programming skills (Python preferred; others welcome), • Demonstrated experience with AI/ML, LLMs, agent frameworks, or automation tooling, • Solid understanding of finance, investment workflows, or private equity environments, • Ability to work autonomously, architect solutions, and iterate quickly, • Must have experience managing multi-agents, • A builder’s mindset: curious, resourceful, and comfortable owning end‑to‑end systems, • Experience in integrating and building agents and have strong financial know-how

Senior Javascript Engineer (Node.js / AI) | Publishing 📍 London (Hybrid – min. 1 day per week) 💰 Up to £80,000 (pro rata) 📄 6-month Fixed Term Contract We’re partnering with a well-established publishing organisation undergoing a major digital and AI-led transformation. With a strong global presence, they’re investing heavily in modern engineering and intelligent systems to reshape how content is created, discovered and delivered. They’re now looking for a Senior Backend Engineer with strong Node.js and AI integration experience to join on an initial 6-month FTC. The Role You’ll play a key role in building scalable backend services and AI-powered platforms, working on large-scale systems that power content and data experiences. This is a hands-on engineering role with exposure to cutting-edge AI workflows and distributed systems. You’ll: • Develop APIs and services using Node.js and TypeScript, • Contribute to scalable, distributed systems and cloud architecture (AWS), • Work with structured and unstructured data across varied storage solutions, • Build and integrate RAG pipelines and AI-driven workflows, • Implement LLM integration patterns and multi-step orchestration, • Collaborate with cross-functional teams to deliver robust, high-quality systems What They’re Looking For • Strong experience with Node.js and TypeScript in production, • Experience building scalable systems in AWS (or similar cloud platforms), • Solid understanding of data storage (MySQL, document stores, blob storage), • Hands-on experience with AI/LLM integrations, • Exposure to tools such as:, • Amazon Bedrock (or equivalent), • Vector/semantic search (e.g. OpenSearch), • Experience building AI-driven workflows and pipelines Why This Role? • Opportunity to contribute to a high-impact AI transformation project, • Work on real-world AI applications at scale, • Strong engineering environment with modern tooling, • Flexible hybrid setup (min. 1 day onsite in London) If you’re a backend engineer with AI experience looking for your next contract, this is a great opportunity to get stuck into a forward-thinking project quickly. 📩 Apply via the link or reach out for a confidential conversation.

Platform Engineer| UK (SC clearable) I’m working with a small, high-performing team building technology that directly supports national security and defence capability. This is a genuinely exciting time to join them. They’ve recently secured significant funding and are scaling with real intent, so this is one of those rare opportunities to come in early, have proper ownership, and help shape what the platform and company become. This isn’t a typical infra role where you’re just maintaining pipelines or internal tooling. The work is applied, the problems are real, and you can actually see the impact of what you’re building. They’re still a relatively small team, so you’ll have a genuine level of ownership. You’ll be close to decisions, close to the product, and working with people who’ve come from engineering, military and operational backgrounds. From a technical point of view, you’d be shaping the platform everything runs on. The stack is modern, but more importantly, you’ll have a say in how it evolves. You’ll likely be someone who: • Has built and scaled cloud infrastructure, not just supported it, • Is comfortable working in AWS environments, • Has hands-on experience with Kubernetes and containerised systems, • Uses Terraform or similar IaC tools as a default, • Understands Linux, networking and security at a deeper level, • Enjoys working in small teams where you just get on with things It’s a strong fit if you: • Like ownership and autonomy rather than heavy process, • Have worked on distributed systems or complex infrastructure, • Have seen or are interested in mission-critical environments (defence, robotics, autonomy etc.), • Want to be closer to the end impact of what you’re building You do need to be a UK citizen and able to go through SC clearance. If you’re open to something where you can genuinely shape the platform and be part of a high-impact team at a well-funded defence tech company, happy to share more.

💼 𝐑𝐨𝐥𝐞 - Research ML Engineer 📌 𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧 - London, 2 days per week 💸 𝐒𝐚𝐥𝐚𝐫𝐲 - up to £160K plus equity 🏢 𝐃𝐨𝐦𝐚𝐢𝐧 - Developer Tooling I'm working with a start-up who are building fully autonomous coding agents, their product can understand systems context and, with minimal human input, write code. They are in the process of raising their Series A and are a team of 20 with experience from companies like; Google DeepMind, Spotify, Sourcegraph & Meta. What We Are Looking For • 5+ years of industry or academic experience as a Machine Learning Engineer, Applied Scientist, or Research Scientist., • Search & Retrieval: Deep experience designing and scaling state-of-the-art systems (e.g., multi-stage retrieval, dense retrieval, novel indexing)., • Reinforcement Learning & Reasoning: Deep expertise in applying RL to complex tasks, agent-based modeling, or automated planning.

Junior AI / Automation Engineer London We are working with a highly entrepreneurial investment environment building out a new real estate platform in London. They are looking for a junior / early-career AI and automation-focused hire to help create internal tools, streamline workflows, and support the team with practical AI-enabled solutions from a relatively blank sheet of paper. This is not a pure academic data science role, and it is not a standard corporate graduate seat. The opportunity is much more about ownership, practical build work, and helping shape how a lean team uses AI and automation from the outset. The role is likely to suit someone who enjoys building useful things, working closely with stakeholders, and applying AI in a practical business setting. What you’ll be doing: • Building internal tools and lightweight platforms to improve workflow efficiency, • Supporting automation across reporting, document handling, internal processes, and knowledge workflows, • Working with AI / LLM-based solutions to solve practical business problems, • Helping create bespoke internal systems rather than relying solely on off-the-shelf software, • Collaborating closely with senior stakeholders in a lean, commercially focused team What they’re looking for: • Early-career profile, likely graduate to c.1–3 years’ experience, • Strong hands-on ability with Python and practical software / automation tooling, • Interest in AI, LLMs, workflow automation, and internal tool-building, • Builder mentality — someone who enjoys creating, testing, and improving things, • Comfortable working in a more entrepreneurial, less structured environment, • Strong academic background preferred Useful experience may include: • FastAPI, React, TypeScript, Streamlit, APIs, • LLMs, RAG, agentic workflows, automation tools, • Internal tools, dashboards, workflow systems, CRM-type platforms, • AI-enabled process improvement or business automation This is a particularly strong opportunity for someone who wants genuine ownership early in their career and enjoys building practical solutions that have visible commercial impact. If this sounds of interest, please apply or get in touch directly.

Observability Engineer / SRE (Dynatrace Specialist) - Hybrid London - Up to £650/day Inside IR35 | Dynatrace | Observability | Opentelemetry | Devops | SRE Overview A leading energy trading organisation is scaling out a core observability initiative following a successful 6‑month project focused on monitoring business flows across their estate. They are now moving into an exciting phase: onboarding a new vendor, deploying monitoring at scale, and embedding observability practices across the wider business. You will work closely with a highly capable lead engineer and another observability specialist. This is a hands‑on, system-focused role where you’ll build tooling in‑house, problem‑solve creatively, and help define how the business measures performance, reliability, and telemetry moving forward. Location: London, in office 2-3 days a week Contract: 6 months initial (extension highly likely) Rate: Up to £650/day Inside IR35 Start: ASAP What You’ll Be Doing • Deploy and scale observability tooling across core systems, with a strong emphasis on Dynatrace (top priority)., • Work on expanding POCs into full-scale enterprise solutions using Grafana and other observability tools., • Lead the configuration, optimisation, and tuning of monitoring across a complex estate., • Embed observability practices into the business: partner with stakeholders, explain metrics, and guide adoption., • Support a new vendor onboarding process from a monitoring and instrumentation point of view., • Help build in‑house tooling where no existing patterns or templates exist., • Collaborate closely with a small, senior team to define standards, instrumentation approaches, dashboards, and alerts., • Contribute to operational maturity, particularly around SLOs, SLIs, performance standards, and reliability metrics. Essential • Strong experience with Dynatrace (must-have)., • Broad DevOps/SRE background with exposure to various tech stacks., • Solid understanding of observability principles, instrumentation, telemetry, and distributed systems monitoring., • Hands-on experience with Grafana and ideally other monitoring tools., • Practical experience with OpenTelemetry (crucial standard for this project)., • Ability to interpret data, troubleshoot issues, and create meaningful insights across systems., • Strong problem-solving mindset—comfortable designing in-house solutions with minimal templates. Nice to Have • Familiarity with .NET / C# (not essential but helps in understanding monitored workloads)., • Experience working with SLO/SLI frameworks and reliability standards., • Ability to work with Python and SQL (reading Python is enough; SQL understanding is more important)., • Experience operating in cloud and on-prem environments. Observability Engineer / SRE (Dynatrace Specialist) - Hybrid London - Up to £650/day Inside IR35 | Dynatrace | Observability | Opentelemetry | Devops | SRE

Senior Flight Software Engineer £65,000 (flexible depending on experience) Competitive Benefits Package Remote, UK Permanent We are looking for a talented Senior Flight Software Engineer to join a fast-growing AI and robotics safety startup. The business is expanding its engineering team as it continues to build cutting-edge assurance systems for AI-enabled robotics and autonomous systems. The company develops advanced safety and assurance technology designed to ensure autonomous systems operate safely, predictably, and with optimal performance. Their solutions focus on robotics and AI applications where reliability and safety are critical. You will play a key role in developing software components that enable the safe and reliable operation of autonomous robotic systems within the wider robotics platform. Working closely with embedded systems, AI/ML, and systems architecture teams, you will help design, develop, and validate robotics software that meets high performance and safety standards. We are looking for someone who enjoys working in a startup environment and is motivated by solving complex technical challenges. This is an opportunity to work on cutting-edge robotics technology while helping shape products from an early stage. Key Responsibilities: • Design, develop, and implement robotic software components and algorithms across perception, planning, control, and decision-making systems, • Collaborate with embedded engineers, AI/ML specialists, and system architects to integrate software into the wider robotics platform, • Conduct testing, optimisation, and validation to ensure software meets safety and performance requirements, • Contribute to improving development processes, tooling, and methodologies for robotics systems, • Stay up to date with advancements in robotics software, algorithms, and frameworks and apply them within the product, • Mentor junior engineers and support knowledge sharing across the engineering team Key Skills • Bachelor’s or Master’s degree in Computer Science, Aerospace Engineering, Robotics, Electrical Engineering, or a related discipline, • Proven experience developing software for robotic or autonomous systems, • Strong proficiency in C/C++ and Python, • Experience with robotics frameworks such as ROS, Gazebo, or MoveIt, • Strong understanding of robotics algorithms including perception, planning, control, and decision-making, • Experience with modern software development practices such as Agile, CI/CD, and Test-Driven Development, • Excellent analytical, debugging, and problem-solving skills, • Strong communication and collaboration skills Desirable Skills: • Experience working on safety-critical or mission-critical systems, • Familiarity with safety standards such as DO-178C, ISO 26262, or IEC 61508, • Experience working in robotics, autonomous systems, aerospace, UAV, or defence environments, • Experience mentoring or supporting junior engineers What you get in return: • Salary £65,000, • Generous holiday allowance, • Salary sacrifice pension with 5% matched company contribution, • EV car scheme, • Cycle to work scheme, • Work from home, • Opportunity to work on cutting-edge AI, robotics, and safety technologies in a fast-growing startup environment This company is an equal opportunity employer and values diversity. They do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Interested? Please submit your CV via the link provided. Alternatively, for a confidential discussion about the role, please get in touch directly.

Frontend Systems Engineer – DataGrid & Visualisation Libraries | London (Hybrid) £150,000 – £200,000 + package Most engineers build applications. This team builds the components those applications rely on. I’m hiring for a developer tools company building widely adopted JavaScript components used in data-intensive applications across global enterprises, financial institutions, and technology companies. This is core engineering work, focused on performance, scalability, and building systems that operate at the limits of the browser. What you’ll be working on • Developing and optimising a high-performance DataGrid and charting library used globally, • Solving complex problems around rendering, large datasets, and real-time updates, • Working across data structures, algorithms, and performance-critical code paths, • Contributing to both grid and visualisation components, • Building features end-to-end — from design through to release, • Shaping the direction of widely adopted developer tooling What they’re looking for • Strong JavaScript and TypeScript fundamentals (framework-agnostic mindset), • Experience with a statically typed language (C++, C#, Java, Python, etc.), • Deep understanding of algorithms, data structures, and software design, • Experience building complex systems — not just application-layer UI, • Familiarity with React, Angular, or Vue (and how they interact with the DOM), • Ability to reason about performance, memory usage, and rendering behaviour, • High standards for code quality, maintainability, and correctness Why this role stands out • You’ll work on core libraries used by thousands of engineering teams worldwide, • The problems are genuinely challenging — performance, scale, and architecture, • Engineering-led culture with a strong emphasis on quality and ownership, • Flat structure, minimal bureaucracy, and high autonomy, • Real impact on a product used in mission-critical environments Package • £150,000 – £200,000 base salary, • Private healthcare, pension, and additional benefits, • Hybrid working (London-based), • High-spec hardware and developer-focused environment If you enjoy solving technically challenging problems around algorithms, recursion, and performance, apply or get in touch for a confidential conversation.

An innovative design tooling organisation in London are on the lookout for an AI Agent Engineer for their expanding team to work on developing core agent systems that power their platform. Role Responsibilities • Design and build agent systems in order to tackle complex tasks across multimodal environments, • Working on the data flywheel that will improve the agents performance over a long period of time, • Build the infrastructure required to train, evaluate, and run large-scale agent systems, • Working in a collaborative team in order to overcome challenges Role Requirements • 5+ years of experience in software engineering or a relevant field, • Experience with agent architecture in a professional environment via LLM/VLM reasoning and planning systems, • Educational experience highly preferred (PHD, Masters etc) in a relevant area, • Python or other deep learning frameworks, • Bonus if you have worked on agents interacting with real product environments, • London area based Salary - 140-160k base salary + wider package Hybird position This role CAN offer sponsorship if needed If you have the required experience and skillset please apply for immediate consideration!

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.

🚀 Senior DevSecOps Engineer – Contract Opportunity (Inside IR35) UK GOVT CONTRACT - 6 months Fimatix UK Ltd is looking for a Senior DevSecOps Engineer (SFIA 7) to join our team and play a key role in building and securing modern DevSecOps capabilities across a large-scale digital programme. This is a hands-on engineering role focused on embedding secure-by-design practices into CI/CD pipelines, AWS infrastructure, and identity services, while also helping drive AI-enabled DevOps automation to improve operational intelligence and threat detection. 🔧 Key Responsibilities • Design and implement secure CI/CD pipelines with integrated security tooling (SAST, DAST, container scanning, dependency scanning)., • Embed security-by-design principles across AWS infrastructure and deployments., • Implement IaC security guardrails using Terraform/CloudFormation., • Configure and optimise AWS-native security services (Security Hub, GuardDuty, Inspector, Config, Shield)., • Support identity security integrations with enterprise IAM platforms (ForgeRock or similar)., • Develop AI-assisted DevOps automation for alert triage, incident routing and operational insights., • Contribute to architecture documentation, testing, and security assurance activities. 💻 Technical Environment • AWS (IAM, VPC, EC2, EKS/ECS, Lambda, CloudWatch, CloudTrail), • Security Hub, GuardDuty, Inspector, Config, Shield, • CI/CD tools (GitHub Actions, Azure DevOps, Jenkins), • Infrastructure-as-Code (Terraform, CloudFormation), • Kubernetes / container platforms, • Security testing tools (SAST, DAST, container scanning), • Automation & scripting (Python, Bash) 📌 Experience We’re Looking For • Strong experience implementing DevSecOps pipelines in regulated or government environments, • Deep AWS security architecture expertise, • Experience integrating security tooling into CI/CD workflows, • Experience with identity platforms (ForgeRock or equivalent IAM), • Exposure to AI/ML or automation within DevOps or security operations 📍 Contract Details • Inside IR35 (via umbrella company or FTC), • BPSS and DBS clearance, • £725 day rate, • Hybrid working (UK-based) ⚠️ Important: We are only seeking applications from direct candidates. Recruitment agencies and intermediaries will not be considered for this role. If you’re an experienced DevSecOps engineer passionate about secure cloud engineering and automation, we’d love to hear from you. 👉 Please apply via LinkedIn or send your CV directly to discuss further.

Senior Full Stack Engineer (Frontend Focus) Location: London (Hybrid) 1 day a week Salary: up to £90,000 Evantis Technology is working with a fast-growing digital marketplace platform operating in the creative/consumer space, helping them hire a Senior Full Stack Engineer with a strong frontend focus. The business is building technology that supports the full lifecycle of a marketplace platform — from partner onboarding and product creation through to customer purchasing experiences and operational tooling. Their engineering team works closely with product, growth and commercial teams to build scalable systems that support both the customer-facing platform and internal tools. This role will play an important part in improving and evolving the platform as the business continues to grow internationally. What you’ll be working on • Building and improving customer-facing product experiences across the marketplace platform, • Developing frontend-heavy features while contributing across the full stack when needed, • Working on internal tooling and backend services that support marketplace operations, • Collaborating closely with product, design and growth teams to deliver high-impact features, • Contributing to technical discussions around architecture, scalability and product direction What they’re looking for • Strong experience as a full-stack engineer with a frontend bias, particularly with modern JavaScript / TypeScript frameworks, • Comfortable contributing across both frontend and backend services, with experience working with APIs and distributed systems, • Experience working with backend technologies such as Go / gRPC or similar backend stacks (desirable but not essential), • Experience building and deploying applications in cloud environments such as GCP, AWS or Azure, • Product-focused mindset with experience building consumer-facing digital products or marketplace platforms, collaborating closely with product and non-technical teams Nice to have • Experience working in marketplace, SaaS or high-growth product environments, • Exposure to modern backend services and APIs, • Interest in building scalable platforms used by a global audience You’ll be joining a product-led engineering team working on a platform that combines technology, commerce and creativity. The team values engineers who are comfortable owning features end-to-end and contributing to product decisions. If you’re interested, please apply!

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