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Forward Deployed Engineer - Autonomous AI We’re partnered with a globally renowned applied AI company building end-to-end autonomous software agents designed to fundamentally change how engineering teams operate. Their products combine advanced reasoning models with developer-native tooling to enable engineers to focus on higher-leverage work and solve more ambitious technical problems. The team is small, highly technical, and talent-dense, bringing together elite engineers, former founders, and operators from some of the most respected AI and technology companies in the world. They’re still early in their journey, with many of their hardest engineering and product challenges still ahead. About the Role As a Deployed Engineer, you’ll work directly with engineering teams to deploy AI systems into real production environments. You’ll help customers identify high-impact use cases, lead integrations and pilots, troubleshoot technical issues, and drive long-term product adoption. This role sits at the intersection of engineering, product, and customer success, combining hands-on technical work with customer partnership and rapid execution. You’ll operate across a broad range of technical environments and play a key role in shaping how the platform evolves through direct customer feedback. Requirements • Strong engineering foundation from a rigorous technical environment, • Advanced proficiency in at least one modern programming language such as Python or TypeScript, • Experience building, debugging, or maintaining real software systems, • Strong communication skills with the ability to work effectively with both engineers and executives, • Highly self-directed with a strong ownership mentality, • Comfortable operating in ambiguous, high-intensity environments, • Demonstrated track record of exceptional performance academically, professionally, or entrepreneurially, • Curious, proactive, and motivated by solving difficult technical problems, • Startup or high-growth experience is highly valued, • Willingness to travel as needed to support customer engagements This is an opportunity to work directly on frontier AI systems being deployed into real-world engineering teams today, with significant ownership, visibility, and impact from day one. If you are interested in exploring this opportunity further please contact me.

Low Latency Trading & Observability SRE / Platform Engineer / Production Engineer sought to join an elite Multi-Strategy Quant Hedge Fund with $40BN+ in Assets Under Management. Our client is one of the world’s top Hedge Funds who are especially renowned for innovation and investment in Data & Technology. They are now looking to recruit a Low Latency Trading & Observability SRE / Platform Engineer / Production Engineer into their core Production Engineering team, who are accountable for the reliability, operability and performance of the firm’s trading-critical systems, in an environment where availability, correctness and latency directly impact outcomes. The successful hire will own the reliability of business-critical systems, from observability design through to incident resolution and systemic improvement; lead high-severity incident management; and reduce toil with software engineering, primarily in Python but also with Golang, TypeScript, SQL and/or PowerShell. The role requires someone who can evidence outstanding problem-solving and the ability to solve problems on their own initiative. Requirements • Debugging distributed systems: operating, improving and scaling complex systems in high-availability environments., • SRE fundamentals: SLO/SLI thinking, observability, incident leadership, and a bias for systemic platform fixes., • Strong software engineering skills: high proficiency in at least one modern programming language (Python preferred)., • Modern open-source observability knowledge: Experience within the ecosystem (e.g. OpenTelemetry, LGTM stack, Prometheus, Grafana, Loki)., • Unsiloed cross-platform operator: Confidence taming complex technical landscapes spanning multiple languages, platforms and data systems i.e. Linux, Cloud, Kubernetes, Windows., • Strong communication skills: able to explain technical issues and trade-offs to non experts under time pressure., • Relationship-driven mindset with high accountability: builds trust, aligns stakeholders, and takes end-to-end ownership for results. This is an outstanding opportunity for a talented Low Latency Trading & Observability SRE / Platform Engineer / Production Engineerto forge a long-term career in one of the world’s top Quantitative Hedge Funds, operating in a demanding, highly-visible, and state-of-the-art technical environment. Our client operates a four-day-per-week onsite policy located from London SW1. Compensation is commensurate with attracting, motivating and retaining the absolute best-in-class engineering talent, with an industry-leading record of long-term employment and tenure.

DevOps Engineer London Up to £60,000 SC Clearable Looking to work on cutting-edge cloud environments that support high-impact, real-world applications? We’re seeking a DevOps Engineer to join a dynamic team in London, driving the delivery of secure, scalable and efficient software solutions across complex programmes. What you’ll have the opportunity to do as a DevOps Engineer: • Designing and maintaining CI/CD pipelines to streamline software delivery, • Automating infrastructure provisioning using Infrastructure as Code tools, • Enhancing DevOps tooling and processes to improve deployment efficiency, • Managing cloud-based services and ensuring system reliability and performance, • Collaborating within Agile teams to continuously refine engineering practices About the Candidate The right DevOps Engineer should have: • Demonstrable experience in a DevOps, Platform or Cloud Engineering role, • Strong hands-on expertise with CI/CD pipelines and cloud platforms (AWS preferred), • Proficiency with Infrastructure as Code tools such as Terraform, CloudFormation or similar, • Solid Linux knowledge and scripting skills (e.g. Python, Bash, PowerShell, TypeScript), • Eligibility for S/C clearance (5+ Years Continuous address history) What’s in it for you? • Salary from £45,000 to £60,000, • Hybrid working, • Bonus Scheme, • Comprehensive benefits package, • Ongoing training and career development opportunities To hear more about the DevOps Engineer role contact Daire McIlhatton at

Higher is working with one of the most technically serious enterprise AI companies in London to hire 2 Lead AI Engineers. You should know about them. Their clients include Johnson & Johnson, Cisco and Syneos Health. Their investors include the CEO of Revolut. And they're solving one of the hardest problems in enterprise software today. THE PROBLEM THEY ARE SOLVING Most AI in the enterprise is cosmetic. Dashboards. Copilots. Tools that assist, but don't act. This company is building something different: Digital Workers, autonomous AI systems that execute complex knowledge workflows end to end, with human-level reliability. Founded nearly 10 years ago, with over $50m in funding from some of the UK's most prominent VCs, they've built a platform that actually runs in production at global scale. THE ROLE As Lead AI Engineer, you will embed directly with enterprise clients, untangle their most complex operational workflows, and architect the agentic systems that automate them. This is a forward-deployed, client-facing role that demands both deep technical capability and the maturity to operate at the business level. You will own delivery end to end, from architecture through to production. The team is 45 people, nearly 20% with PhDs. They value intellectual rigour, ownership, and a genuine drive to win. They come together at their West London office 1-2 times per week. WHAT YOU BRING • 5+ years hands-on experience building and deploying production-grade AI systems using LLMs, RAG pipelines, MCPs and agentic workflows, • A track record of leading complex, client-facing technical engagements, • Strong system design and architecture skills, with the ability to turn ambiguous business problems into scalable AI solutions, • Experience setting technical direction and driving delivery to measurable outcomes, • Solid understanding of evaluation, reliability and performance in production AI systems Tech stack: Python, modern LLM frameworks, orchestration tooling, and cloud platforms (AWS, GCP or Azure). WHAT'S ON OFFER • Up to £120,000 base salary + high-value share options, • 25 days holiday plus bank holidays, with carry-over and sell options, • Pension scheme, life cover at 4x salary, • Health and dental insurance options, • Learning and development budget, work abroad days, • Cycle to work, tech purchases scheme Higher is a specialist AI executive search firm. This search is being conducted confidentially on behalf of our client. To be considered, please apply or reach out to Kelly Gauthier at .

AI Engineer - All levels - High Profile AI Scale Up - (relocation to Dubai, UAE) Our client is building a next-generation digital platform, one that is deeply ethical, powered by thoughtful design, and built from first principles around AI. Their mission is to create a proactive, intelligent system that understands user context, acts safely on their behalf, and earns trust through reliability, transparency, and rigour. As an AI Engineer, you will help shape the agentic intelligence layer that powers their products - systems that reason, remember, and act safely in the real world. This is a high-impact, hands-on role at the heart of a technically ambitious team. WHAT YOU'LL DO • Build and maintain LLM agents and agentic workflows end-to-end, • Design retrieval-augmented generation (RAG) pipelines and grounding strategies, • Develop multi-step planning, tool use, and execution flows, • Implement approaches to reduce hallucinations and unsafe model behaviour, • Partner with product, backend, and QA teams to ship production-grade agent capabilities, • Iterate continuously based on real-world usage, feedback, and outcomes WHAT WE'RE LOOKING FOR • 5+ years of experience in applied AI, machine learning, or software engineering, • Concrete, hands-on experience building and deploying LLMs and agentic frameworks in production, • Strong Python engineering skills, • Strong systems thinking with the ability to balance innovation with safety and correctness, • Ability to operate autonomously and deliver under tight deadlines BONUS POINTS • Prior experience at an early-stage or high-growth startup, • Have built and scaled products to Please note this role is based in Dubai, UAE and will require physical relocation.

Senior Software Engineer (.NET / C#) | Greenfield Systems Rebuild | Remote | £80,000–£100,000 This is a hands-on senior engineering role with real technical authority. You will be the lead engineer and technical decision-maker on a greenfield rebuild of a mission-critical system, working within a small, senior team and reporting directly to the Head of Technology. Once the build is delivered, the role expands into enterprise architecture responsibilities. If you are a strong .NET engineer who has been moving into architecture and wants to own the outcome rather than advise on it, this is worth reading. THE ROLE • Lead the technical delivery of a greenfield rebuild of a core business system, covering policy, claims and integration layers., • Set and enforce technical standards, own code quality, and conduct structured code reviews across the delivery team., • Work directly with the BA to translate business requirements into sound technical design and produce low-level design documentation., • Make architecture decisions, present options clearly to non-technical stakeholders, and govern integration standards across the programme., • Support the Infrastructure and Data Engineers with cross-cutting technical decisions throughout the build., • Post go-live: take on broader enterprise architecture responsibilities including architecture governance, technology strategy and platform evolution planning. WHAT WE'RE LOOKING FOR Must-have • 5+ years in senior software engineering or technical lead roles, with strong hands-on .NET / C# delivery., • Demonstrable experience leading architecture decisions on production-grade systems, not just contributing to them., • REST API design and integration experience at scale, including defining and governing integration standards., • Microsoft SQL Server: schema design, query optimisation, and working knowledge of Always On configuration., • Azure infrastructure: practical experience with Azure VM, SQL on Azure and Availability Groups., • Experience mentoring or managing more junior engineers within a delivery team., • Comfortable producing and presenting design documentation to both technical and non-technical audiences. Nice-to-have • Prior experience in insurance, financial services or another regulated industry., • Familiarity with claims management systems, policy administration platforms or related workflows., • Python for automation, tooling or data engineering support., • Experience stepping into or transitioning from an enterprise architect or solutions architect position., • Active use of AI coding tools and a willingness to embed them into day-to-day engineering practice. WHAT'S ON OFFER • £80,000–£100,000 depending on experience., • Fully remote role with occasional travel to London when needed., • 28 days holiday plus bank holidays., • Private Medical Insurance for you and your family., • Pension with contributions matched up to 6%., • Life assurance., • Direct access to programme leadership, a senior multi-disciplinary team, and a clear path into enterprise architecture post-delivery. APPLY If this looks like the right next move, apply now or reach out directly for a conversation before committing to a full application. We are happy to talk through the detail first.

DevSecOps Engineers – Mid to Lead Level Location: London Type: Permanent Working Pattern: 4xFlex, 37.5 hours per week We are currently working with a client in the Defence and Security sector who are expanding their London-based team and are looking to hire DevSecOps Engineers with a strong focus on Infrastructure Engineering, across mid to lead level. This opportunity supports a range of programmes across the Defence, Cyber and Intelligence domains, delivering secure, scalable and high-performing infrastructure solutions within mission-critical environments. A key requirement for this position is the ability to obtain and maintain high-level security clearance. If you do not currently hold this, support will be provided throughout the application process. The Role: As a DevSecOps Engineer with an Infrastructure Engineering focus, you will play a central role in the design, integration, administration and security of systems and applications. You will be responsible for building and maintaining scalable, reliable and secure infrastructure, ensuring it supports complex and evolving technical environments. You will work within a multi-disciplined team, collaborating across engineering and delivery functions to integrate and deploy features effectively. Depending on your level of experience, you will either contribute to infrastructure delivery (mid-level) or take on additional responsibility for technical ownership, decision-making and guiding engineering activities (lead level). This role spans the full systems lifecycle, offering exposure to architecture, design, deployment, support, migration and decommissioning activities. You will also have the opportunity to work across Public, Private and Hybrid Cloud environments, helping to optimise performance, scalability and security. Key Responsibilities: • Design, build, deploy and manage a broad range of IT infrastructure aligned to customer requirements, • Apply infrastructure engineering best practices to ensure systems are scalable, reliable and secure, • Develop Infrastructure as Code (IaC) and supporting scripts, integrating these into CI/CD pipelines and wider toolchains, • Drive automation and repeatability across infrastructure deployments and system integration, • Deliver full end-to-end systems lifecycle management, from initial architecture and design through to deployment, support, migration and decommissioning, • Support the integration and delivery of large and complex solutions within wider system-of-systems environments, • Contribute to integration, testing and deployment activities to ensure optimal performance and reliability, • Undertake deployments across Public, Private and Hybrid Cloud environments, identifying constraints and optimising infrastructure performance and security, • Collaborate with multi-disciplinary teams to ensure successful delivery of infrastructure solutions within DevSecOps frameworks Skills & Experience: • Strong experience within DevSecOps environments, working within Agile methodologies (SCRUM, Sprints), • Experience using tools such as Jira and Confluence for planning and collaboration, • Proficiency in Windows and Linux systems administration, including technologies such as Active Directory, • Experience with virtualisation technologies and concepts, including VMware vSphere, ARIA Ops performance monitoring and NSX (software-defined networking), • Experience configuring and managing web proxy servers (e.g. Squid), • Strong experience with automation technologies including Terraform, Ansible and Packer for complex builds, • Experience building and maintaining CI/CD pipelines (e.g. Jenkins), • Understanding of Git-based version control (Git, Bitbucket, GitLab), including integration and branching strategies, • Knowledge of containerisation technologies such as Docker and Kubernetes, • Experience with scripting languages including PowerShell and Bash, • Experience using Python, • Solid understanding of networking fundamentals, including IPv4 addressing and routing, • Experience with logging and monitoring tools such as Zabbix and Splunk, • Understanding of cloud technologies and concepts, particularly AWS Certification (Desirable): AWS Certification / CCNA Certification / Oracle Java Certification / ISTQB Certification / OSCP Certification / Linux Administration (RHCSA or RHCE) / Microsoft Certified: Windows Server Hybrid Administrator Associate / Red Hat Certified Specialist in Ansible Automation (EX407) / Terraform / Associate Certification PLEASE NOTE: eDV clearance is required to start. The process can take up to 18 months

Senior Software Engineer (Systems & Automation) London, Hybrid, Permanent We are partnering with a high-growth technology firm in London to find a Senior Software Engineer who excels at the intersection of product engineering and operational efficiency. This is a role for an engineer who is naturally bothered by manual bottlenecks and has the drive to automate them away. Our client is looking for a "force multiplier", someone who spends their time both shipping core product features and refining the internal engines that allow the entire engineering org to move faster. The Role This is not a siloed DevOps or Infrastructure role. You will be a core contributor to the application codebase while taking primary ownership of the workflows, tooling, and pipelines that support it. • Workflow Optimization: Identify and resolve friction in the developer experience, from reducing build times to refining CI/CD feedback loops., • Internal Tooling: Design and build bespoke automation, operational dashboards, and scripts that eliminate repetitive manual tasks across the business., • Cross-Boundary Integration: Solve complex problems that span multiple systems, including data onboarding pipelines and API integrations., • Product Delivery: Contribute directly to the core product, shipping high-quality features while ensuring the underlying systems remain robust., • Technical Initiative: Act as a self-starter who notices systemic inefficiencies and independently proposes and implements technical solutions. Technical Focus You will work across various layers of the stack, moving fluidly between application logic and the systems that deliver it. • Environment: High-scale SaaS platforms with a focus on automation and reliability., • Tooling: Expertise in modern CI/CD architectures, automated testing frameworks, and internal tool development., • Application Code: Proficiency in building and maintaining production-grade product features., • Data & Pipelines: Experience building ingestion workflows and connecting disparate internal data sources., • Stack Versatility: You are highly proficient in Python (FastAPI) and TypeScript (React/Next.js), with a solid grasp of SQL and GCP. The Profile • The Practical Automator: You have a track record of saying "this process is slowing us down" and then building the tool to fix it., • Full-Stack Mentality: You are comfortable working in application code, data pipelines, and deployment systems., • Product-Minded: You enjoy building features for end-users, but you care deeply about the engineering discipline required to ship them., • Pragmatic Ownership: You avoid abstract optimization, focusing instead on solving real, measurable operational friction.

Kubernetes Software Engineer - Up to £150k (flexible) + Bonus 📍 London (hybrid) A highly technical, engineering-led firm within the quant space is looking for a Software Engineer to work on a large-scale container platform that underpins critical systems. The role • Building and improving core components of a Kubernetes-based platform, • Developing tooling and services to support large-scale, multi-tenant environments, • Working on scheduling, orchestration, and performance of distributed systems, • Contributing to platform reliability, scalability, and efficiency, • Collaborating closely with infrastructure and platform teams, • Writing production-quality code and improving engineering standards Scale / environment • High-throughput distributed systems processing millions of workloads daily, • Infrastructure spanning large compute clusters and GPU workloads, • Highly automated environment with continuous deployment and change, • Performance-sensitive systems with real scale challenges What they’re looking for • Strong software engineering background, • Experience with Kubernetes in production environments, • Proficiency in Go and/or Python, • Experience building or working on distributed systems, • Comfortable working in Linux-based environments, • Ability to solve complex engineering problems at scale

Novatus Global is a Series B scale-up RegTech SaaS provider and boutique advisory firm, helping financial institutions manage their most complex regulatory requirements. We combine deep consulting expertise with cutting-edge SaaS solutions, enabling clients to strengthen compliance, enhance resilience, and drive sustainable growth. Our flagship SaaS platform, En:ACT (short for Enabing Accurate Compliance in Transaction reporting), is a market-leading solution for regulatory transaction reporting and reconciliation across global regimes. En:ACT automates reporting, reconciles data across systems, and maps errors directly to regulatory rules, helping firms remediate quickly, reduce risk, and meet regulatory obligations with confidence. Already trusted by more than 30 firms worldwide, the platform is scalable, proven, and designed for both business and technical users. Alongside our SaaS offering, our unique model delivers consulting services across Risk & Compliance (including Transaction Reporting and Operational Resilience), ESG, Strategy, Data, and Operations. Unlike larger consultancies, we embed ourselves within client teams to deliver both insight and execution, taking ownership of outcomes and driving measurable impact. Since our launch in 2019, we have scaled rapidly, creating space for our people to grow with the business. Backed by North American private equity investment, and partnerships with the London Stock Exchange Group and Snowflake’s global data platform, we are shaping the future of regulatory compliance through innovation in both advisory and technology. Our growth plans do not stop here; we are on the lookout for top-tier talent to join us on our journey and enable our next phase of success. Job Overview As a Senior Data Engineer, you will be developing our configuration-driven data platform in Databricks, enabling non-engineers to define regulatory logic, and our Snowflake data warehouse, ensuring scalability, auditability, and fitness for client-facing regulatory use cases. You’ll be writing clean, maintainable and well-tested code that follows best practices. As a senior member of the team, you will be providing technical leadership and mentorship to your colleagues. You’ll join at a pivotal stage as we modernize our data infrastructure, migrating from Python scripts and MySQL to Databricks and Snowflake. Our systems power regulatory reporting for major financial institutions, requiring precision, traceability, and reliability. What You'll Do • Design and evolve our configuration-driven data framework in Databricks and our Snowflake warehouse., • Mentor Junior members of the team, aiding their growth and acting as a force multiplier through your technical leadership., • Design, build, and optimize data pipelines using Databricks, Kafka, Python and PySpark., • Ensure pipelines are auditable, lineage-aware, idempotent, and resilient in regulated environments., • Implement robust data quality controls including testing, validation, monitoring, and alerting., • Drive performance optimization across Spark and Snowflake workloads., • Partner with Product, Engineering, DevOps, and Regulatory teams to translate requirements into scalable technical designs., • Contribute to the continuous improvement of our development processes and tools. Must-Haves • Experience designing auditable, reproducible data pipelines in regulated or high-integrity environments using Python and PySpark., • Able to write and optimize complex SQL queries on large data sets., • Strong data modeling and warehouse design fundamentals., • Strong software engineering fundamentals (clean code, automated testing, CI/CD, observability), • Experience with modern cloud data platforms and orchestration tools., • Comfortable translating complex regulatory requirements into technical specifications., • Ability to work autonomously with a high degree of accountability for the systems you build and maintain. Nice-to-Haves • Experience with Kafka or other event streaming platforms., • Hands-on experience with AWS cloud infrastructure., • Experience building new data platforms or modernizing legacy systems., • FinTech, RegTech, or financial services background. Perks & Benefits • Private Medical Insurance (AXA) – includes mental health, dental, vision, and private GP access, • Life Insurance (4× salary) with Unum, • Unum’s Help@Hand: includes medical second opinions, physiotherapy, lifestyle coaching, savings and discounts, and cancer support services for you, your partner, and your child(ren), • Employee Assistance Program, • Enhanced parental leave (maternity & paternity), • Professional qualification sponsorship, • Accelerated career progression based on performance, not tenure, • Holiday entitlement increases with tenure, • Flexible hours with core collaboration time, • Paid volunteering leave, • Gym & fitness discounts, • Quarterly socials, and office snacks & drinks, • Interest-based working groups to collaborate and innovate Novatus Global’s Equal Opportunities Statement Novatus is an Equal Opportunity Employer. All employment decisions are made based on business needs, role requirements, and individual qualifications, without regard to race, age, religion or belief, sex, sexual orientation, gender identity or expression, marital or civil partnership status, pregnancy or maternity, socioeconomic background, disability, or any other characteristic protected under the Equality Act 2010. We maintain a workplace culture that is inclusive, respectful, and supportive. Our recruitment and selection processes are designed to ensure fairness and consistency for all candidates. Reasonable adjustments are available throughout the application and interview process, and candidates are encouraged to contact Human Resources to discuss any specific requirements. This commitment is embedded in all aspects of our employment practices, including recruitment, compensation, professional development, promotion, and workplace conduct.

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.

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

We're partnering with a fast-scaling fintech that's building the intelligence layer for debt markets. Think financial analysis, credit data, legal and ESG insights, all delivered at speed to some of the biggest names in banking, asset management and law. They need a Senior Software Engineer to join a cross-functional product team and help shape the backbone of their platform. What you'll be doing Backend-heavy engineering across a Python/FastAPI stack, working on everything from data pipelines and API design to ML/AI service integration. You'll be a proper senior IC, running code reviews, mentoring engineers, and getting involved early in research and experimentation, not just building to spec. The stack • Python (FastAPI, Flask, strong typing, Pydantic), • PostgreSQL, • AWS (Lambda serverless + ECS/Docker), • Internal dev platform with standardised CI/CD pipelines, • Feature flags and automated preview environments What you'll need • Strong Python and web framework experience (FastAPI preferred), • Solid API design and service-oriented architecture background, • Hands-on with data flow design, from persistent storage to API endpoints, • Good SQL knowledge, • Experience writing testable, maintainable code and conducting code reviews, • Ability to communicate technical decisions clearly to non-technical stakeholders What's in it for you • Top-of-market salary, equity, • 7% pension match, private medical, • 25 days holiday, hybrid working, and the ability to work abroad up to 3 months a year., • High ownership, real influence, and a codebase worth caring about. 2 days onsite (Central London) Salary - Up to £120 + equity If this sounds like you, please apply for more details.

Agentic Software Engineer | West London | Full-time | Hybrid (4 days onsite per week) Tech: AWS, Salesforce, Snowflake, Node.js, TypeScript, Python, React, GraphQL, Claude Code, Cursor, Copilot, Codex or similar agentic tools We're hiring on behalf of a growing EdTech customer, a globally active education organisation with a genuinely AI-Driven engineering culture. Their tech team doesn't sit on the side of the business. It's central to it. How they build, what they automate, and how they adopt AI feeds directly back into what they teach. It attracts engineers who care about more than shipping tickets. The role itself is one of the more forward-thinking briefs we've seen. You won't be writing code. You'll be directing the agents that do, building the scaffolding that lets them run unsupervised, designing the validation systems that tell you output is good without reviewing every line, and enabling multiple agents to work in parallel across real enterprise problems. This isn't about writing faster with Copilot. That's a speed boost. This is the next step, and they want someone already living on the other side of it. What the role involves: • Building agent scaffolding; context files, prompt architectures and skills that keep AI on track without constant intervention, • Designing verification systems for AI-generated code you didn't write or review, • Running parallel agent workstreams converging on shippable, tested output, • Working across a real enterprise stack: AWS, Salesforce, Snowflake, Node.js, TypeScript, Python, React, GraphQL, • Translating between stakeholders and agents; turning ideas into working product fast enough that iteration feels like a conversation What they're looking for: • 5+ years of software engineering experience — but your recent work looks fundamentally different, • You've used Claude Code, Cursor, Codex or similar agentic tools in production, not just demos, • You can write a spec an agent can execute without hand-holding, • You've thought seriously about how you verify AI-generated output you didn't produce yourself, • Strong communication across technical and non-technical stakeholders What would make you stand out: • You've built MCP servers, custom agent tooling, or agent skills, • You've implemented cost controls for token spend, • You can point to something non-trivial built primarily by agents under your direction Please apply now to learn more!

Data Engineer - Investment Platform £90k–£140k + bonus + benefits Hybrid | Central London There's a quiet data problem at the heart of private markets and a London fintech is building the infrastructure to solve it. Every PE fund, credit strategy and infrastructure vehicle reports NAVs, capital calls and investor positions differently. Different fund admins. Different formats. Different cadences. Some APIs are terrible. Many don't exist at all. Now imagine giving a wealth manager in Zurich, a private bank in Hong Kong and an adviser in Sydney one clean, regulator-ready view across all of it - in near real time. That's the challenge that we need a software & data engineer to solve. You'll own ingestion pipelines from global fund administrators, design scalable data models across relational, NoSQL and Delta architectures, and solve the reconciliation problems that turn fragmented investment data into a clean, unified layer the platform can rely on. You'll also help shape how AI gets embedded into the platform - not as a side experiment, but as core infrastructure. The engineering environment is modern and evolving fast. You get room to shape systems, not just maintain them. Python and Azure underpin a modern distributed data platform built around ingestion pipelines, lakehouse architecture, streaming workflows, Databricks, CI/CD, observability and product-facing data services. The team is actively pushing further into AI-native workflows - using LLMs to improve ingestion, reconciliation and reporting, while investing heavily in data quality, lineage and platform reliability. The wider application stack is React, TypeScript and Node, so this isn't a siloed data engineer role hidden away from the product. Engineers here work across the platform where it makes sense: infrastructure, pipelines, APIs, application architecture and the data experiences exposed to end users. Engineering culture matters too. Leadership comes from deep trading-tech and asset management infrastructure backgrounds. Pragmatic people. Low ego. Strong technical standards. The kind of environment where good architectural pushback is welcomed. You'll enjoy logging every morning if: • Care deeply about data quality and clean engineering, • Enjoy solving messy, high-consequence data problems, • Like operating across data, infrastructure and application engineering, • Want ownership, not endless Jira ticket throughput, • Are curious about fintech, wealth or private markets, • See AI as an opportunity to build better systems, not just automate tasks You don't need prior private markets experience. What matters is strong engineering judgement, deep Python capability and the ability to navigate messy, real-world data problems without overengineering them. Curious to know more? Hit apply or send me a DM — informal first conversations are taking place now.

Founding Engineer I am supporting a well funded early stage AI startup building real time coaching technology embedded directly into live sales calls. Their platform delivers instant, contextual guidance during conversations, surfacing the right prompts and discovery questions as the call unfolds. The company raised $1.6M in seed funding from reputable investors and is backed by experienced operators from successful UK technology businesses. They are operating in one of the fastest moving areas of enterprise software, with genuinely novel technology and strong early validation. They are now hiring their first Founding Engineer to work directly with the CTO. The Opportunity This is a true 0 to 1 role. You will design, ship and own product end to end, from ideation through deployment. You will make foundational architectural decisions, write production code used by real customers, and help shape the engineering culture from the ground up. They are looking for someone who thrives in ambiguity, moves quickly, and is comfortable making decisions with incomplete information. High agency and a strong bias toward action are essential. This role includes 1.5 percent equity, currently valued at approximately £97,500 at the latest round, with significant upside potential as the business scales toward Series A and beyond. Core requirements: • 3 plus years of engineering experience, • Strong in React and comfortable across the full JavaScript and TypeScript stack, • Backend experience building REST APIs using NestJS or Express Or Python, • Experience with MongoDB or similar databases, • Evidence of building independently, for example side projects, startups, open source work, • Experience in a company with fewer than 50 employees, • High agency and comfort operating in fast moving environments Nice to have: • Previous founder experience or strong interest in founding, • AI native workflow experience, for example using modern AI development tools and agents, • Experience with AWS and infrastructure as code, such as CDK, • Familiarity with CI and CD, TDD and DevOps principles, • Strong product instincts or UI and UX awareness Compensation • £95,000 base, depending on experience, • 1.5 percent equity, approx. £97,500 at current valuation, • Comprehensive health insurance, • Office based in London, five days per week

Senior Software Engineer Contract to Permanent Hybrid (London) Rates negotiable Most backend systems look fine on paper until they hit production. This role is about building services that actually work at scale, under real user demand. Why This Role • Leading major media/streaming end client, • Real production impact from day one, • Solving practical backend challenges in a high-scale environment The Company / Product You’ll be working on a large-scale platform used by millions, helping build and support backend services that power critical parts of a streaming ecosystem. What You’ll Be Working On • Building and supporting APIs and microservices in production, • Developing backend systems using Python + AWS (Lambda, API Gateway, S3, DynamoDB), • Working with event-driven systems (Kafka, SNS/SQS, etc.), • Supporting and improving existing production systems, • Debugging real-world issues and keeping systems stable at scale, • Collaborating within an existing team + codebase (pragmatic engineering) Tech Stack • Python, • AWS (Lambda, API Gateway, S3, DynamoDB, IAM), • Event-driven systems (Kafka, SNS/SQS), • Databases (Postgres, DynamoDB, Couchbase), • CI/CD (Concourse, Git workflows), • Observability (Prometheus, Grafana, CloudWatch) What You’ll Bring • Strong backend engineering experience (Python preferred), • Experience building and supporting microservices in production, • Good understanding of event-driven architectures, • Ability to debug and support live systems effectively, • Comfortable working in fast-moving teams with minimal hand-holding Ideal Profiles • Mid–Senior Backend Engineers with strong production exposure, • Engineers used to working in existing systems (not just greenfield) No CV needed to start just reach out and we’ll take it from there. If you want to move quickly, I can get you in front of the team this week.

Forward Deployed Engineer London, UK Permanent | Hybrid | 2-3 Days PW £120,000 — £140,000+ Curated is partnered with a fast-growing InsurTech building an internal AI platform from the ground up. You'll be building AI systems that are already in production and used daily by the people making high-stakes decisions. This isn't experimental. It's core to how the business runs. This is a team that goes into the business, finds the problem, and ships the solution. No project charters. No ticket queues. Just smart people, hard problems, and the freedom to move fast. They need a Forward Deployed Engineer who's built in startup or scale-up environments, cares as much about the product as the code, and wants to be close to the business rather than hidden behind a backlog. You'll be customer facing, embedded directly with stakeholders, turning ambiguous problems into working software. What we're looking for: • 4+ years backend engineering experience, ideally from a startup or scale-up environment, • Strong in TypeScript and/or Python. C# is a bonus, not a blocker, • Hands-on with AWS, REST APIs, and PostgreSQL, • Experience building with LLMs: tool calling, RAG, embeddings, agentic workflows, • The kind of person who talks to users, understands the problem deeply, and ships with ownership, • High agency. Low ego. Obsessed with building things that actually work Why it's interesting: • Startup pace inside a well-capitalised global enterprise, • Early London hire into a new team. Real influence, real impact, • Direct access to the business from day one, • Genuinely hard technical problems at the intersection of AI and insurance data

🚀 AI Engineer – Up to £100k Base Salary + Bonus (London) Ready to move beyond hype and actually ship cutting-edge AI? My client are looking for an AI Engineer to join their London-based team and design next-generation intelligent systems powered by RAG (Retrieval-Augmented Generation) and agentic AI architectures. If you thrive at the intersection of software engineering and applied AI, this is your chance to make a real impact. 💡 What You’ll Do • Design and deploy RAG pipelines that turn data into actionable intelligence, • Build agentic AI systems capable of reasoning, planning, and tool use, • Collaborate with product and engineering teams to bring AI features into production, • Optimize performance, scalability, and reliability of AI-driven applications, • Stay ahead of the curve with the latest advancements in LLMs and AI tooling 🧠 What You Bring • Strong background in software engineering principles and best practices, • Hands-on experience with Python in production environments, • Proven work with RAG frameworks, vector databases, or LLM integrations, • Experience designing or implementing agent-based AI systems 🌍 Why Join Us? • Work on real-world AI systems that deliver measurable value, • High autonomy and ownership from day one, • Collaborative, forward-thinking team based in London, • Competitive salary + growth opportunities in a fast-moving space If you’re excited about building AI systems that actually think and act, we’d love to hear from you. 👉 Apply now and or email me on

Founding Software Engineer — AI Voice 💡 What if your next role let you build a real-world AI workforce — where voice agents handle thousands of customer interactions and automate entire industries? 🚀 Our client — a YC-backed AI startup (Series A) — is hiring a Founding Software Engineer (London, onsite). They’re building autonomous AI voice agents for trades and field service businesses, combining LLMs, speech-to-text, and real-time systems to power a new category of “digital workers.” The role: ✅ Build and ship core product features across Python, TypeScript, cloud infrastructure, and event-driven systems ✅ Own the full product lifecycle — from customer discovery to shipped solutions ✅ Work directly with customers to solve real operational problems ✅ Move fast on MVPs while building scalable, production-grade systems ✅ Raise the bar across testing, reliability, and system design ✅ Shape product direction through direct user feedback and iteration Why join? 🌎 Join a YC-backed, Series A startup building category-defining AI products 💰 £150,000 – £200,000 + equity 🛂 Visa sponsorship available ⚙️ Work on cutting-edge AI across voice, LLMs, and real-time automation 🤝 High-ownership, low-ego team of ~10 people 🚀 Massive impact — shaping product, culture, and engineering from day one 📩 Interested? Apply now!

We’re working with a technology‑driven organisation reinventing how operations are conducted, building systems that are safer, smarter, and dramatically more environmentally responsible. Location: London or Porto The Role We’re seeking a Senior Software Engineer to design, build, and maintain backend containerised services that power our scalable edge‑compute platforms. You’ll work closely with a Software Team Lead and collaborate across multidisciplinary engineering teams, providing technical leadership while remaining hands‑on with complex systems. What You’ll Do • Build production‑grade software using .NET C#, Python, and modern backend technologies, • Design and prototype services using containerised microservices, • Apply and challenge engineering best practices to continuously improve quality, • Make sound technical decisions in high‑impact areas, • Document systems, processes, and architectural decisions, • Mentor junior engineers and contribute to a culture of technical excellence What You Bring • Degree in Computer Science, IT, or related field, • 5+ years’ experience building backend systems with .NET C# and ASP.NET Core Web APIs, • Strong understanding of Clean Architecture, CQRS, ideally with MediatR, • Experience with communication protocols: TCP/IP, UDP, REST, gRPC, SignalR, • Familiarity with RESTful API design, • Experience with event‑driven architectures and tools like RabbitMQ or Kafka, • Strong background in microservices and containerisation (Docker, Kubernetes), • Proficiency with databases such as SQL Server, PostgreSQL, Redis, and EF Core, • Confident with Git and modern version‑control workflows, • Ownership mindset, proactive attitude, and the ability to thrive autonomously, • Excellent time management and critical thinking Nice to Have • Fluency in English, • Experience with C++, • Exposure to distributed systems, IoT, or Industry 4.0, • Understanding of IoT communication protocols, cloud platforms, and network security Why Join? You’ll be part of a team using technology and creativity to disrupt a traditional industry with opportunities to grow across disciplines, explore new technologies, and contribute to work that has real‑world impact on people and the planet. For more information on this role, please apply now!

Senior Software Engineer (TypeScript / Python, FinTech, AI) London (Hybrid) £95,000 The Opportunity Join a high-growth, regulated fintech building next-generation infrastructure at the intersection of traditional finance and digital assets. The platform enables institutional clients to trade, tokenise, and manage real-world financial assets on blockchain rails, covering the full lifecycle from issuance through to trading and custody. This is a chance to work on complex, high-performance systems used by banks, asset managers, and financial institutions globally. The Role You’ll be part of a high-calibre engineering team building scalable, secure systems that power a modern financial marketplace. Responsibilities include: • Designing and building low-latency, high-throughput backend services, • Developing APIs and services using TypeScript and/or Python, • Working on systems supporting trading, custody, and asset tokenisation, • Contributing to AI-driven features, such as automation, analytics, or intelligent workflows, • Collaborating with product, quant, and infrastructure teams, • Ensuring systems meet regulatory, security, and reliability standards expected in financial services What They’re Looking For • Strong experience with TypeScript and/or Python, • Background in financial services, fintech, or capital markets, • Experience building distributed systems or high-performance platforms, • Exposure to AI / machine learning applications (production or applied), • Solid understanding of APIs, cloud infrastructure, and system design, • Bonus: experience with trading systems, digital assets, or blockchain Tech Environment • TypeScript, Python, • Cloud-native architecture, • API-first systems, • Real-time data and trading infrastructure, • AI / data-driven components Why Join • Work on cutting-edge financial infrastructure bridging traditional finance and blockchain, • Be part of a regulated, institutional-grade platform in a rapidly evolving market, • Exposure to tokenisation, digital securities, and next-gen financial systems, • High ownership, fast-moving environment with strong technical challenges

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

Electrical Engineer – Solar, BESS & New Technologies 📍 London / Hybrid 💰 Up to £50,000 + Bonus An exciting opportunity has arisen for an Electrical Engineer to join a fast-growing renewable energy developer delivering utility-scale Solar PV and Battery Energy Storage System (BESS) projects across the UK. This role offers the chance to work across the full project lifecycle, from early-stage grid connection and design through to construction support and commissioning while also gaining exposure to emerging technologies including data centres, geothermal and onshore wind. The business has a significant UK pipeline of large-scale renewable infrastructure projects and offers a genuinely entrepreneurial environment where engineers are encouraged to take ownership, contribute ideas, and broaden their technical capabilities. This is an excellent opportunity for someone looking to accelerate their career within a highly collaborative and technically ambitious team. The Role Key responsibilities include: • Producing and reviewing HV and LV electrical designs for solar and BESS projects, • Preparing and managing grid connection applications with DNOs and National Grid, • Supporting equipment specification and technical evaluation of inverters, transformers, switchgear and BESS technologies, • Conducting power systems studies including load flow, fault level and harmonic analysis, • Providing technical input into planning applications, EIAs and infrastructure consenting processes, • Coordinating with external consultants, contractors and suppliers throughout project delivery, • Supporting construction, installation and commissioning activities, • Exploring opportunities to apply AI, scripting and automation tools to improve engineering workflows and project delivery, • Keeping up to date with grid codes, industry standards and emerging technologies About You Applicants should ideally have: • A degree in Electrical Engineering or related discipline, • Understanding of UK power systems and grid connection processes, • Familiarity with renewable energy electrical design (Solar PV and/or BESS), • Experience with power systems software such as ETAP, DIgSILENT PowerFactory or PSS/E, • Strong communication and stakeholder coordination skills, • Interest in coding, automation or AI tools (Python or similar advantageous), • A proactive, self-learning mindset and desire to work in a fast-moving environment, • Full UK driving licence, • Professional membership or progress toward chartership (IET / Engineering Council) would be advantageous.

Senior Software Engineer | ~£950/day Outside IR35 | 6-months initial contract | London Industry: Trading Location: London Job Type: Contract - 6-month initial Our client is building the next generation of execution and order management (EMS/OMS) infrastructure for global commodities trading. You will join a small, fast-moving engineering team designing and delivering a cloud-native trading platform from the ground up, tightly integrated with risk, pricing, and market data systems to support high-performance trading environments. This is a senior, hands-on role for an engineer who wants end-to-end ownership — from low-level protocol integration through to distributed execution services and trader-facing tooling. What You’ll Be Doing • Design and build core components of a modern EMS/OMS platform, including order routing, order lifecycle management, venue connectivity, and execution analytics., • Implement and maintain FIX protocol and venue-specific integrations across exchanges, brokers, and liquidity providers in commodities markets., • Develop low-latency, distributed execution services with a strong focus on correctness, resilience, and performance under load., • Collaborate closely with traders, quants, and risk engineers to translate trading workflows and execution strategies into robust production systems., • Ensure seamless integration with risk systems, including pre-trade checks, position tracking, and post-trade processing. Requirements Essential • Proven experience building execution systems and/or order management systems in production., • Strong systems engineering fundamentals, including concurrency, distributed systems, networking, performance, and correctness under pressure., • Production experience in at least one of C++, Rust, or Python, with willingness to work across multiple languages., • Demonstrated ability to deliver production systems with a strong bias towards shipping, iteration, and user feedback., • Comfortable working in a collaborative environment with direct engagement between engineers, traders, and quants., • Experience working in cloud-native environments, particularly Kubernetes-based architectures., • Familiarity with distributed data and event-driven systems (e.g. Kafka-style messaging patterns)., • Experience with observability, monitoring, testing, and production incident response in live systems. Highly Desirable • Experience in commodities markets (energy, metals, agriculture, freight) or other complex, multi-venue asset classes., • Deep understanding of the FIX protocol, including session handling, message customisation, and venue-specific behaviour., • Experience with algorithmic trading systems, smart order routing, or execution algorithm development., • Exposure to real-time risk systems, including pre-trade controls and position/PnL infrastructure., • Experience with columnar databases such as ClickHouse.

The Role We are helping to hire a Senior Software Engineer for an exciting AI startup. This is a core platform role with real ownership. You will work on data integrations, platform execution, and the systems that power AI-driven analytics. What You Will Be Doing • Building core data integrations with common SaaS platforms, • Designing data pipelines that ingest provider APIs into our analytics datastore, • Improving the agent platform and executor with better error handling, observability, and speed, • Making LLM interactions more efficient through prompts, snippets, and tooling, • Improving internal developer experience and platform tooling, • Helping take an early MVP into a production-grade platform Why Join • Early, high-impact role in an AI-native company, • Direct influence on platform architecture and technical direction, • Opportunity to work with an experienced founding team, • Build technology that fundamentally changes how teams use data What We Are Looking For • Strong experience building in Python, • Deep understanding of design patterns and system architecture, • Experience building scalable, performant platforms, • Strong grasp of event-driven systems and concurrency, • Solid database and API design experience, ideally with Postgres, • Understanding of good security practices, • Ability to clearly communicate technical trade-offs, • Familiarity with the modern AI tooling landscape, • Some cloud infrastructure experience including Terraform Nice to Have • Zero-to-one product experience, including OSS or side projects, • Data engineering experience such as pipelines and analytics, • Experience integrating LLMs, including prompt design and understanding model capabilities, • Deeper cloud experience, especially with GCP, • Experience with Encore, though this is easy to pick up Ways of Working • Ownership mindset with comfort taking ideas from rough outline to implementation, • Execution first approach where speed matters, balanced with pragmatism, • Iterative development focused on shipping, learning, and improving, • First-principles thinking rather than cargo-cult engineering, • Ego-less culture with direct, constructive feedback, • Comfort working asynchronously and learning independently, • AI-native approach using tools like Cursor or Claude Code to move faster

About the Role We are seeking a Full-Stack Engineer to join our team and help build the next generation of AI solutions. This is a unique opportunity to be a key technical contributor in a fast-paced, innovative environment where you'll wear many hats and have significant impact on our product and engineering culture. As a full-stack engineer, you'll work across the entire technology stack—from backend services and data pipelines to infrastructure and deployment. You'll collaborate closely with the engineering team to architect, build, and scale our micro-services based platform while maintaining high code quality and operational excellence, utilising AI to maximise software development productivity. About Prolo Prolo is building an AI-powered procurement platform for the construction industry, which is one of the oldest and least digitised sectors in the world. The core system ingests unstructured purchase orders and transforms them into structured materials data, integrating with a network of suppliers and logistics partners to automate quoting, sourcing, and fulfilment workflows. What We're Building We're building a sophisticated AI platform that leverages graph databases, machine learning, and modern cloud infrastructure to deliver intelligent procurement and customer service solutions. Our stack includes: • Backend Services: Python 3.13, FastAPI, async micro-services architecture, • Data Layer: Neo4j graph database, PostgreSQL, complex data modelling, • AI/ML: OpenAI integration, semantic search, conversational agents, unstructured data analysis and extraction, • Infrastructure: AWS (Lambda, ECS/EKS, API Gateway, S3), • DevOps: Terraform, GitHub Actions, Helm, Infrastructure-as-Code, • Data Science: Graph analytics, data pipelines, ETL workflows, Jupyter notebooks Required Qualifications Software Development • 5+ years of professional software engineering experience, • Strong proficiency in Python (3.10+) with deep understanding of async programming, • Experience with Poetry or similar Python dependency management tools, • Experience building RESTful APIs and micro-services, • Solid understanding of database design and optimisation (both SQL and NoSQL), • Experience with graph databases (Neo4j preferred) or willingness to learn quickly, • Knowledge of event-driven architectures and message queues, • Knowledge of API design principles, data validation, and serialisation, • Experience with AWS Lambda and serverless architectures, • Experience working across the stack (backend + some frontend), • Understanding of web technologies, HTTP, and API integrations, • Ability to contribute to responsive frontend code when needed, • Hands-on experience using AI-assisted development tools (e.g. Cursor, GitHub Copilot) including prompt engineering, context management, and evaluating AI-generated code critically DevOps & Infrastructure • Hands-on experience with cloud platforms (AWS preferred), • Experience with containerisation (Docker) and orchestration (Kubernetes), • Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar), • Experience setting up CI/CD pipelines, • Understanding of service deployment, monitoring, and troubleshooting Data Science/Analytics • Experience with data analysis using Python (pandas, numpy), • Understanding of data pipelines and ETL processes AI/LLM Engineering • Experience integrating LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents) into production applications, • Understanding of core LLM concepts: context windows, token limits, temperature, system prompts, and model selection trade-offs, • Experience with prompt engineering techniques — few-shot prompting, chain-of-thought, structured output, and instruction tuning Soft Skills • Wearer of Many Hats: Comfortable switching contexts and working across different domains, • Self-Starter: Ability to work independently and take ownership of projects, • Problem Solver: Strong analytical and debugging skills, • Collaborative: Excellent communication skills and ability to work in a small team, • Adaptable: Comfortable with ambiguity and rapid iteration Nice-to-Have Qualifications • Experience with observability tools (OpenTelemetry, Prometheus, Grafana), • Familiarity with agentic coding workflows — using AI agents to scaffold, refactor, test, and document code autonomously, • Experience with FastAPI or similar async Python web frameworks, • Experience with Neo4j or other graph databases, • Experience with graph algorithms and network analysis, • Experience with Helm and Kubernetes operators, • Background in data science, statistics, or scientific computing, • Experience with graph analytics or network analysis, • Experience with RAG, LLM Orchestration and MCP, • Experience in early-stage startups What We Offer • Impact: Direct influence on product direction and technical decisions, • Growth: Opportunity to work across the entire stack and learn new technologies, • Ownership: Take ownership of features from conception to deployment, • Flexibility: Hybrid, remote-friendly work environment, • Equity: Meaningful equity stake in the company, • Learning: Access to cutting-edge technologies and challenging problems Note: Prolo is a startup with a small engineering team, which means you'll be expected to be versatile, proactive, and comfortable with ambiguity. If you're excited about building something from the ground up and working across the entire technology stack, we'd love to hear from you.

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

Company Overview: ANRA Technologies is a global leader in airspace, mission, and traffic management software (UTM/ATM/AAM), powering the safe integration of uncrewed and autonomous aircraft into global airspace. Our award-winning SaaS platforms are trusted by Air Navigation Service Providers (ANSPs), regulators, defense agencies, and enterprise operators to enable scalable, compliant, and data-driven drone and Advanced Air Mobility (AAM) operations worldwide. Job Description We are hiring a DevOps Engineer with 3–5 years of hands-on experience in CI/CD, cloud infrastructure, automation, and containerized environments. If you are passionate about building scalable, secure, and highly available systems, we’d love to connect! Key Responsibilities • Design and maintain CI/CD pipelines using Jenkins,ensuring reliable deployments across environments, • Build and manage scalable infrastructure on Amazon Web Services (AWS) ensuring reliability and cost efficiency, • Implement Infrastructure as Code using Terraform, AWS CloudFormation, and Ansible, • Deploy, manage,and orchestrate containers using Docker,Kubernetes and Rancher, • Set up monitoring & alerting with Nagios, Prometheus, and Grafana, • Develop automation scripts in Bash, PowerShell, and Python, • Administer Linux & Windows servers, • Troubleshoot, resolve and prevent production issues by implementing security best practices across infrastructure Required Skills • Strong scripting and programming skills in Python or Bash, • Experience building & managing CI/CD pipelines, • Strong AWS architecture knowledge, • Hands-on experience with containerization & orchestration, • Experience with monitoring and observability tools, • Solid understanding of infrastructure security Qualifications • Bachelor’s degree in Computer Science or equivalent, • Experience with large-scale distributed systems, • Strong communication & problem-solving skills, • Quick learner with adaptability to new technologies, • No visa sponsorship required

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

ABOUT US Sing King is on a mission to delight millions of singers around the world through our portfolio of games and singing experiences across multiple platforms. Our successful flagship YouTube channel welcomes over 14 million subscribers and 30 million unique viewers each month, and along with our latest Mobile Game release we are continuing to build innovative and exciting products that spread joy to singers wherever and whenever they sing. We are a team of music lovers, game enthusiasts and entrepreneurial spirits. We are passionate about our vibrant and growing community of global singing fans. This is a unique opportunity to play a key role in the growth of an ambitious, nimble and fast-growing entertainment business. Join us! ABOUT THE ROLE As our full-time Tools Engineer, you will help transform processes and develop fast, reliable web-based tools and apps that deliver impact. This role is a great fit if you enjoy taking ownership of areas that don’t yet have clear answers, and turning problems into scalable, forward-thinking solutions. You connect points of commonality across the business and wrap them into combined or complimentary solutions. This role sits within the Data & Tools function, responsible for building the systems that allow Sing King’s data, content, and products to operate reliably and scale intelligently. At the heart of Sing King is our CMS. It’s responsible for orders, data validation, third-party reporting, distribution, and more. Under your guidance, you’ll evolve us from our existing combination of backend and frontend systems into a new bespoke solution incorporating an API currently being developed in Python (FastAPI with PostgreSQL) and a web-app frontend in React.js or similar. WHAT YOU’LL DO Lead the CMS architecture, the heart of the creation and distribution of our assets and data. In collaboration with the Senior Leadership you’ll define, scope, and plan improvements, new features, anticipating business needs before they happen. Maintain and develop our internal REST API that centralises business logic for the CMS, tools, asset management, data validation, and publishing of Karaoke content. Transform the CMS frontend to deliver a fast, intuitive experience, built around how people actually work. Design and build automation workflows that remove manual toil from content production, such as thumbnail generation, media transcoding, uploading, scheduling, playlist generation, web-scraping and more. Prototype and develop simple light web-apps and services that empower internal teams or service our fans, whether that’s Discord/Slack bots, or simple ways for the public to request songs and submit user-generated content. Collaborate with Data experts to turn models and research into internal tools and help solve data quality challenges through fuzzy matching, LLM-assisted enrichment, or other solutions. WHAT YOU’LL BRING Organisation - Ability to manage multiple technical priorities with excellent time and project management. Agile approach - Can develop scrappy Proof of Concepts to pitch new ideas and generate buy-in, as well as making swift pivots if business priorities change. Attention to detail - Can deliver accurate results that are key to decision-making and maintaining high quality deliveries with our music industry partners. Creativity to solving problems - Able to translate complex business requirements into novel and practical designs, that make sure every need is taken care of. Security conscious mindset - Solid understanding of software engineering fundamentals, data privacy, and secure coding practice DESIRED SKILLS Strong programming skills – Proficient in languages such as Python, Node.js, and JavaScript, with a solid understanding of core engineering principles. Version control & deployment practices – Strong experience with Git/GitHub and CI/CD workflows, with a focus on clean, reliable releases. Cloud & backend systems – Experience working with cloud platforms (e.g. Google Cloud Platform) and backend systems, including deploying and maintaining production-ready web applications. BONUS POINTS Passion for karaoke, rhythm games, or community-led mobile games Experience with no-code, low-code platforms such as Retool. Experience with popular web scraping methods. Experience with PostgreSQL and BigQuery HOW WE WORK We’re a small team, so we move fast and experiment often We believe in creative exchange and collaborative ownership We prioritise ideas that make our players feel something - joy, energy, expression We operate a hybrid working policy at Sing King and expect a balance of office and home working for this role - our office is in Farringdon, London We offer a competitive salary and benefits package We’re committed to building a diverse and inclusive team. We strive to create an environment where everyone feels they belong, and we welcome applications from people of all backgrounds, experiences, and identities. If this role excites you, we encourage you to apply, even if your experience doesn’t align perfectly with every requirement. We are dedicated to making our recruitment process accessible to all. Please let us know if you require any adjustments (for example, interview location, structure, or materials in an alternative format).

About the Role We are seeking a Senior Full-Stack Engineer to join our team and help build the next generation of AI solutions. This is a unique opportunity to be a key technical contributor in a fast-paced, innovative environment where you'll wear many hats and have significant impact on our product and engineering culture. As a full-stack engineer, you'll work across the entire technology stack—from backend services and data pipelines to infrastructure and deployment. You'll collaborate closely with the engineering team to architect, build, and scale our micro-services based platform while maintaining high code quality and operational excellence, utilising AI to maximise software development productivity. About Prolo Prolo is building an AI-powered procurement platform for the construction industry, which is one of the oldest and least digitised sectors in the world. The core system ingests unstructured purchase orders and transforms them into structured materials data, integrating with a network of suppliers and logistics partners to automate quoting, sourcing, and fulfilment workflows. What We're Building We're building a sophisticated AI platform that leverages graph databases, machine learning, and modern cloud infrastructure to deliver intelligent procurement and customer service solutions. Our stack includes: • Backend Services: Python 3.13, FastAPI, async micro-services architecture, • Data Layer: Neo4j graph database, PostgreSQL, complex data modelling, • AI/ML: OpenAI integration, semantic search, conversational agents, unstructured data analysis and extraction, • Infrastructure: AWS (Lambda, ECS/EKS, API Gateway, S3), • DevOps: Terraform, GitHub Actions, Helm, Infrastructure-as-Code, • Data Science: Graph analytics, data pipelines, ETL workflows, Jupyter notebooks Required Qualifications Software Development • 5+ years of professional software engineering experience, • Strong proficiency in Python (3.10+) with deep understanding of async programming, • Experience with Poetry or similar Python dependency management tools, • Experience building RESTful APIs and micro-services, • Solid understanding of database design and optimisation (both SQL and NoSQL), • Experience with graph databases (Neo4j preferred) or willingness to learn quickly, • Knowledge of event-driven architectures and message queues, • Knowledge of API design principles, data validation, and serialisation, • Experience with observability tools (OpenTelemetry, Prometheus, Grafana), • Experience with AWS Lambda and serverless architectures, • Experience working across the stack (backend + some frontend), • Understanding of web technologies, HTTP, and API integrations, • Ability to contribute to responsive frontend code when needed, • Hands-on experience using AI-assisted development tools (e.g. Cursor, GitHub Copilot) including prompt engineering, context management, and evaluating AI-generated code critically, • Familiarity with agentic coding workflows — using AI agents to scaffold, refactor, test, and document code autonomously DevOps & Infrastructure • Hands-on experience with cloud platforms (AWS preferred), • Experience with containerisation (Docker) and orchestration (Kubernetes), • Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar), • Experience setting up CI/CD pipelines, • Understanding of service deployment, monitoring, and troubleshooting Data Science/Analytics • Experience with data analysis using Python (pandas, numpy), • Understanding of data pipelines and ETL processes AI/LLM Engineering • Experience integrating LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents) into production applications, • Understanding of core LLM concepts: context windows, token limits, temperature, system prompts, and model selection trade-offs, • Experience with prompt engineering techniques — few-shot prompting, chain-of-thought, structured output, and instruction tuning, • Practical knowledge of RAG (Retrieval-Augmented Generation) architectures, including chunking strategies, vector embeddings, and similarity search, • Familiarity with LLM orchestration frameworks such as LangChain, LlamaIndex, or similar, • Experience designing and building agentic systems — tool-calling agents, multi-step reasoning, and human-in-the-loop workflows, • Understanding of MCP (Model Context Protocol) or similar standards for connecting AI models to external tools and data sources, • Knowledge of LLM evaluation methods — measuring accuracy, hallucination, latency, and cost, • Awareness of responsible AI practices: bias, safety, output validation, and guardrails in production systems, • Experience managing LLM costs and optimising for latency vs. quality trade-offs in real deployments Soft Skills • Wearer of Many Hats: Comfortable switching contexts and working across different domains, • Self-Starter: Ability to work independently and take ownership of projects, • Problem Solver: Strong analytical and debugging skills, • Collaborative: Excellent communication skills and ability to work in a small team, • Adaptable: Comfortable with ambiguity and rapid iteration, • Mentoring: Able to mentor less-experienced Software Engineers. Nice-to-Have Qualifications • Experience with FastAPI or similar async Python web frameworks, • Experience with Neo4j or other graph databases, • Experience with graph algorithms and network analysis, • Experience with Helm and Kubernetes operators, • Background in data science, statistics, or scientific computing, • Experience with graph analytics or network analysis, • Experience with Apple and Google App Stores, • Experience in early-stage startups What We Offer • Impact: Direct influence on product direction and technical decisions, • Growth: Opportunity to work across the entire stack and learn new technologies, • Ownership: Take ownership of features from conception to deployment, • Flexibility: Hybrid, remote-friendly work environment, • Equity: Meaningful equity stake in the company, • Learning: Access to cutting-edge technologies and challenging problems How to Apply Please submit: • Your resume/CV, • A brief cover letter explaining why you're interested in this role, • Links to your GitHub profile or relevant code samples, • Any relevant projects or work that demonstrates your experience We're particularly interested in candidates who can demonstrate: • Experience building scalable backend systems, • Ability to work across multiple domains (backend, DevOps, data), • Examples of taking projects from idea to production, • Contributions to open source or personal projects Note: Prolo is a startup with a small engineering team, which means you'll be expected to be versatile, proactive, and comfortable with ambiguity. If you're excited about building something from the ground up and working across the entire technology stack, we'd love to hear from you.

Contract Embedded Software Engineer – C++ / Linux / Networking We’re seeking an experienced Embedded Software Engineer to work on cutting‑edge, real‑time embedded systems for next‑generation products operating in demanding environments. This is a hands‑on contract role for someone who’s comfortable working close to hardware, enjoys solving complex technical problems, and thrives in collaborative, Agile teams. What You’ll Be Doing • Designing and developing embedded software for new products using C++ and C#, • Supporting product verification and testing activities through development and integration, • Working closely with both Software and Hardware teams to deliver robust solutions, • Contributing to Agile ceremonies, including sprint planning, reviews, and retrospectives, • Participating in code reviews and regular technical and project meetings What We’re Looking For • Solid commercial experience as an Embedded Software Engineer, • Strong proficiency in C++, with exposure to C# in embedded or supporting tools, • Deep understanding of real‑time and multi‑threaded systems, • Hands‑on experience with build environments such as OpenEmbedded, Bitbake, and Makefiles, • Good working knowledge of TCP/IP and UDP networking, with experience using tools like Wireshark, • Comfortable working with Linux, including kernel concepts, CLI tools, and Bash scripting, • Experience using Python for scripting or tooling, • Any exposure to U‑Boot, Web GUI frameworks (e.g. Wt), radar systems, ASTERIX Cat240, or RF transceiver integration is highly advantageous This is an Inside IR35 contract - please get in touch for further info.

Full-time position. Onsite 5 days a week – Chiswick, London. We’re hiring a Mid Embedded Engineer to help develop, test, debug, and integrate the electronics and firmware systems at the heart of the HoloDrive platform and help bring our ambitious first product to market. About HoloMem At HoloMem, we’re building the next generation of mass data storage hardware; highly efficient, long life, and ultra durable. Our pioneering and patented holographic technology encodes data as light within advanced polymers, enabling a resilient and future fit alternative to today’s short lived and energy intensive data storage infrastructure. Over the past 24 months HoloMem has graduated from both the Intel Ignite and Deeptech Labs accelerators, been awarded two Innovate UK Smart Grants, closed a seed+ funding round, and most recently deployed a working HoloDrive prototype to a live data centre to prove the robustness of our system. Off the back of our breakthrough partnership with BDT, the world’s largest tape library manufacturer, we now begin the transition from prototype to product, maturing our validated system into a mass-produced technology platform that enables state of the art data storage performance at scale. We have ambitious plans, and we are now scaling up our West London based team to enable them. Join us. What You’ll Be Doing You will work hands-on across embedded software, electronics, test rigs, and prototype systems in a fast-moving R&D environment. You will develop and maintain embedded systems and tooling that enable reliable experimentation, rapid iteration, and repeatable system performance. Working at the interface of electronics, firmware, optics, and software, you will lead bring-up, debugging, and preventative maintenance for defined rigs, boards, and prototype subsystems. You will also contribute to HoloDrive product integration by helping translate experimental systems into more robust, scalable, and maintainable engineering solutions. This role requires practical embedded engineering judgement, strong debugging discipline, and the ability to make progress when requirements are still evolving. The Specifics About the Role This role is suited to a mid-level embedded engineer who can demonstrate the ability to: • Develop, test, and debug embedded software for prototype and product-adjacent systems, • Own defined embedded workstreams from implementation through bring-up, validation, and documentation, • Support the design, integration, and maintenance of precision electronic and electromechanical systems, • Work with microcontrollers, sensors, motors, encoders, drivers, and communication interfaces, • Improve the repeatability, reliability, and maintainability of experimental platforms, • Create practical tools, scripts, or test routines that improve engineering speed and system visibility, • Diagnose issues across firmware, electronics, mechanical interfaces, and lab setup, • Collaborate with electronics, optics, software, and product teams to integrate embedded systems into wider prototypes, • Work hands-on in our Chiswick office and R&D lab Who You Are You are a practical, curious embedded engineer who enjoys working at the boundary between electronics and software. You are comfortable debugging real hardware, writing reliable firmware, and taking responsibility for defined technical deliverables. You are not expected to have solved every problem before, but you should be able to reason clearly, test systematically, communicate uncertainty, and make sound engineering decisions without needing constant direction. You are likely to enjoy this role if you like building things that have to work in the real world: motors that move repeatably, sensors that produce trustworthy data, rigs that stay reliable, firmware that fails predictably, and test tools that help the wider team move faster. Required Experience • 2–3 years’ industry experience in electronics, embedded systems, mechatronics, robotics, instrumentation, automation, or a related field, • Degree-level background in electronics, embedded systems, mechatronics, physics, robotics, or a related technical discipline, or equivalent practical experience, • Experience writing, testing, and debugging C/C++ for embedded systems, • Hands-on experience with microcontroller-based systems such as ESP32, STM32, Teensy, Raspberry Pi, or similar, • Experience integrating peripherals and bringing up embedded systems on real hardware, • Practical experience working with motors, encoders, sensors, or other electromechanical systems, • Understanding of precision, timing, control, and repeatability considerations in embedded systems, • Familiarity with Linux fundamentals, preferably Debian-based systems, • Ability to read schematics and support electronics bring-up using tools such as oscilloscopes, logic analysers, and multimeters, • Working knowledge of common communication protocols such as I²C, SPI, UART, or CAN, • Experience debugging across hardware and embedded software in an R&D, prototyping, robotics, instrumentation, automation, or product development environment, • Clear communication skills and the ability to collaborate effectively within a multidisciplinary engineering team Desirable Skills • Experience using electronics design tools such as KiCad, Altium, or EasyEDA, • Exposure to PCB design, schematic capture, layout, or design-for-bring-up considerations, • Exposure to digital signal processing, • Exposure to FPGA design or integration, • Familiarity with PCIe, SAS, or other high-speed serial interfaces, • Experience with Python or other high-level languages for automation, testing, data analysis, or hardware control, • Exposure to optics, photonics, imaging systems, precision instrumentation, or scientific hardware, • Experience improving reliability, maintainability, or repeatability of lab rigs or prototype platforms, • Experience working in a fast-paced R&D, prototyping, or hardware startup environment Benefits At HoloMem • Competitive salary, • 25 days annual leave, • Employer pension contributions, • Cycle-to-work scheme, • A collaborative, knowledgeable team working on deeply technical, world-positive problems How to Apply Click apply or send your CV to . Show us what you’ve designed, built, or tested. If you’re excited about the mission, even if you don’t meet every requirement, we’d love to hear from you. HoloMem is an equal opportunity employer. We value diversity and are committed to building an inclusive environment for all.

Senior Software Engineer Enfield – 3 Days in Office £60,000-£65,000 I’m currently working with a well-established global engineering company who are looking for a Senior Software Engineer to join their growing team in Enfield. The business has been operating for decades and develops advanced technology solutions across industries such as maritime, defence and surveillance. This role will see you taking ownership of software development across the full lifecycle, from initial specification through to testing and verification. You’ll play a key role in developing new, innovative products while also supporting and enhancing existing systems in line with business needs. You’ll work closely with cross-functional teams and provide guidance and mentorship to junior engineers. The position also involves liaising with external stakeholders including customers and suppliers on software-related matters. The role requires on-site working in Enfield 3 days a week, with some flexibility available. Technical Requirements • Strong experience with C++ development., • Experience working across the full Software Development Life Cycle (SDLC)., • Strong understanding of software design, testing, and verification., • Confident in different Engineering environments., • Happy working across industries including Maritime and Defence., • Good communication skills, both written and verbal., • Confident collaborating with cross-functional teams., • Bonus Skills: Python, Visual Studio, PowerShell, GUI/UX Salary/Benefits • £60,000-£65,000., • 25 days holiday plus Bank Holidays., • Pension scheme., • Life Assurance & Healthcare., • Flexible working hours. If this opportunity is of interest, please apply and I can give you a call. Tim Stock 01189028800 | 07980610737

🚀 Embedded Software Engineer | Medical Devices | Linux + C++ | Hybrid (3 Days Onsite) Planet Pharma are looking for a highly skilled Embedded Software Engineer to join an innovative team developing next-generation medical and computing devices used in hospital operating rooms. This is a hands-on engineering role focused on embedded Linux systems, hardware integration, and low-level software development within a multidisciplinary environment spanning embedded systems, cloud platforms, computer vision, and application software. 🔧 What You’ll Be Doing: • Developing and productizing embedded software for custom hardware platforms, • Working closely with hardware teams on kernel/driver compatibility, • Architecting, debugging, and testing hardware-dependent software applications, • Supporting Linux kernel, device trees, drivers, and system services, • Conducting code reviews and contributing to deployment infrastructure, • Participating in security, compliance, verification, and risk analysis activities, • Supporting manufacturing and design transfer processes for medical-grade systems ✅ Must-Have Experience: • Strong Embedded Software Engineering background, • Expert-level C/C++ experience (C++20 preferred; C++11/14 acceptable), • Strong recent Linux experience, • Linux kernel/device driver expertise (V4L2, I2C, SPI, UART, etc.), • System bring-up and hardware integration experience, • Experience with Yocto, Buildroot, or similar Linux build systems, • Networking knowledge and shell scripting skills, • Comfortable working close to hardware and reading schematics/datasheets ⭐ Nice to Have: • Video streaming/video processing experience, • Camera sensors, codecs, or streaming protocols, • NVIDIA platforms, • Python, AWS, automated testing, • OTA update mechanisms, • Security concepts and safety-critical/medical device development 📍 Hybrid Working: This role requires 3 days per week onsite in the office — this is a firm requirement. 🎯 Interview Process: • 2 interview stages, • Technical assessment If you enjoy solving complex embedded challenges and building robust real-world systems, we’d love to hear from you.

About Nothing Nothing exists to make tech feel exciting again. We're building a different kind of technology company, one that puts design, emotion, and human creativity at the heart of everything we do. Founded in London in 2020 and backed by GV, EQT Ventures, and C Ventures, we're now sold in 40+ markets with millions of users worldwide. About the Team The AI & Services team is the studio within the machine — tasked with exploring the bleeding edge of human-computer interaction and prototyping the future of Nothing OS before scaling it to millions of users globally. We don't just improve existing things; we invent what's missing. This is a high-velocity environment where speed, craft, and creative ambition are non-negotiable. About the Role We're looking for an Engineering Manager to lead and grow the AI & Services engineering team. You've spent meaningful time as a software engineer — you know what good looks like at the code level — but today your craft is people, teams, and delivery. You'll be the person who clears the path for exceptional engineers to do their best work, while keeping us shipping fast and pointed in the right direction. This isn't a role for someone who wants to manage from a distance. You'll be close to the work, deeply engaged with the team, and a key voice in how we build our AI products and capabilities. What You'll Do • Lead, coach, and grow a team of full-stack and AI engineers, creating an environment where talented people can do the best work of their careers., • Own the team's delivery — setting a high bar for execution, removing blockers, and keeping a rapid shipping cadence without sacrificing quality., • Partner closely with Product and Design to translate ambitious ideas into clear, executable roadmaps, balancing exploratory prototyping with production-grade engineering., • Drive technical direction alongside your senior engineers — not by writing the code, but by shaping the decisions around architecture, tooling, and build-vs-buy., • Build and maintain engineering excellence: code quality standards, review practices, incident response, and the systems that let us scale what we prototype., • Represent the team across the organisation — communicating progress, surfacing trade-offs, and advocating for what the team needs to succeed. What We're Looking For • A strong engineering foundation. You've shipped production software — ideally full-stack, with experience in the kinds of technologies our team uses (React, Node.js/Python, cloud infrastructure). You can hold a technical conversation at depth and earn the respect of the engineers you lead., • Proven people leadership. You have experience managing engineers directly, supporting their growth, handling performance, and building team culture. You know that your output is your team's output., • Delivery ownership. You have a bias toward shipping. You know how to balance speed and rigour, and you hold the team to a high standard on both without becoming a bottleneck., • AI & product fluency. You understand the landscape — LLMs, agents, real-time systems — well enough to make smart prioritisation calls and guide technical direction, even if you're not the one implementing it day-to-day., • Design sensibility. You appreciate that at Nothing, how something feels is as important as how it works. You champion craft throughout the engineering process., • Comfort with ambiguity. Our best ideas often start as questions without answers. You help the team stay focused and productive even when the path isn't fully defined., • Clear, direct communicator. You can synthesise complexity for different audiences — from engineers in a retro to leadership in a roadmap review. How We Work • Location: London (Kings Cross & Farringdon offices), • Working Pattern: Full-time, in-office (5 days a week). We believe the best work happens when we're in the same room, and we design flexibility around personal needs where possible., • Commute: We ask that you live within a 60-minute commute of your office location.

We’re working with a fast-growing technology consultancy that is building a strong reputation across the Energy & Commodities trading space, delivering modern engineering, AI, and data platforms for some of the most sophisticated trading environments globally. Following significant growth within their trading practice, they are looking to hire a Principal Software Engineer to lead complex, high-impact client engagements across data, AI, and software engineering initiatives. This is a senior, highly visible position combining hands-on technical leadership with architecture, stakeholder management, and strategic delivery. You’ll work directly with senior engineering leaders and business stakeholders to design and deliver greenfield platforms that support real-time trading operations, analytics, and decision-making. The role sits at the heart of large-scale transformation programmes focused on modern cloud-native engineering, distributed systems, streaming technologies, and advanced data platforms. Key areas include: • Real-time and event-driven systems, • Distributed data and software platforms, • Cloud-native engineering and architecture, • Streaming and intraday analytics platforms, • AI-enabled engineering solutions, • Modernisation of trading technology ecosystems This role would suit someone who enjoys operating as both a technical leader and trusted advisor , someone comfortable influencing architecture, mentoring engineers, engaging senior stakeholders, and driving delivery across complex programmes. Ideal background: • Strong software engineering experience with Python and modern cloud technologies, • Experience building scalable distributed systems and data platforms, • Strong understanding of streaming/event-driven architectures, • Previous exposure to Energy, Commodities, or Capital Markets environments, • Ability to operate confidently in client-facing and stakeholder-heavy environments Why it’s compelling: • Opportunity to lead greenfield engineering initiatives, • Blend of technical depth, architecture, and strategic influence, • Exposure to multiple large-scale trading programmes, • Fast-growing business with strong momentum in the market, • Highly collaborative, engineering-led culture, • Strong visibility and progression potential within the organisation This is an excellent opportunity for a senior engineer who wants to remain close to technology while stepping into a broader leadership role within one of the most technically interesting areas of the market.

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

Software Engineer | Bazel 📍 London 🏠 Hybrid work model - 3 days in the office, 2 days wfh 💶 Up to £600/day - Outside IR35 📄 6 months contract with possible extensions 5V Tech are working with a fast-growing deep tech company building a completely new class of AI accelerator hardware and software from first principles. They’re now looking for an engineer to take ownership of Bazel at scale and build the tooling infrastructure that powers the entire engineering organisation. This is a genuinely high-impact role in a greenfield environment, where you’ll help shape the build systems, developer workflows, and CI infrastructure from the ground up. What you’ll be working on: • Designing and owning Bazel rules and extensions, • Scaling a large monorepo across Python, C++, Rust, SystemVerilog, and ML workloads, • Building reproducible, multi-language build pipelines, • Optimising CI performance across large compute clusters, • Improving the developer experience across engineering teams, • Contributing upstream to Bazel rules and tooling, • Working closely with teams across AI/ML, Runtime, Simulation, Compilers, and Hardware Why this role stands out: • Greenfield environment with no legacy systems, • Huge technical variety across software, ML, infrastructure, and hardware, • High ownership and visibility across the business, • Opportunity to define how engineering operates as the company scales, • Cutting-edge AI and accelerator technology What they’re looking for: • Extensive experience in Software Engineering or Infrastructure Engineering, • Proficient in working with build systems, • Strong Bazel experience, • Python scripting and automation skills, • Experience building and maintaining CI/CD pipelines at scale Nice to have: • ML pipeline experience, • GitHub Actions, • Multi-language build environments, • Docker / Kubernetes / containerisation experience 5V Tech are acting as an Employment Agency for the purposes of this temporary vacancy. We offer a reward scheme if you can recommend someone for this contract, up to €£250 for you and an additional £250 to a charity of your choice, 5V Tech are recognised talent solutions experts within IoT and Deep Tech working across Europe, the UK and North America.

Senior Software Engineer Salary: Negotiable (Depending on Experience) Location: North London Area Schedule: 3-days on site and 2-days WFH per week The Opportunity We are supporting a globally recognised engineering business at the forefront of advanced radar and surveillance technology in the search for a Senior Software Engineer. This is an excellent opportunity to play a key role in the development of innovative, high-performance software solutions used within cutting-edge maritime navigation and defence systems. You will take ownership of software design across the full lifecycle, contributing to both new product development and the continuous improvement of existing systems. The Role As a Senior Software Engineer, you will be responsible for delivering robust, high-quality software from initial concept through to verification and release. You will also act as a technical mentor within the team, supporting the development of junior engineers and contributing to a collaborative engineering environment. Key responsibilities include: • Designing, developing, and delivering software solutions in line with project requirements, • Taking ownership of the full software development lifecycle, from specification through to testing and maintenance, • Supporting and enhancing existing software to meet evolving commercial and technical needs, • Collaborating with internal teams as well as external customers, suppliers, and partners, • Providing technical guidance and mentoring to junior engineers, • Contributing to continuous improvement and innovation across software development practices Experience & Skills • Strong experience in C++ software development, • Proven experience delivering projects across the full software development lifecycle, • Solid understanding of development environments such as Microsoft Visual Studio (2022/2026), • Experience with GUI/UX or Human-Computer Interaction (HCI), • Knowledge of scripting languages such as Python or PowerShell, • Degree in Software Engineering, Computer Science, or a related discipline, • Excellent communication skills, both written and verbal Why Apply? This is a fantastic opportunity to: • Work on genuinely advanced, real-world technology, • Join a well-established and growing engineering business with an excellent reputation, • Play a key role in shaping innovative software solutions, • Gain exposure across the full product lifecycle, from R&D through to delivery, • Access long-term career progression within a highly technical environment If this opportunity sounds of interest, please apply today or contact me directly for a confidential discussion. All applications will be handled with complete discretion.

The Company Lab 1 is a fast-growing cybersecurity startup, which identifies and interprets exposed data on behalf of our clients. Lab 1’s AI SaaS platform analyses the full corpus of exposed corporate data in near real time, providing customers with the assurance that they’ll know the unknown and reducing the risk, cost and anxiety associated with exposed data across complex supply chains. The Role Using the power of Graphs, AI and Machine Learning, we deliver compromised data intelligence on any company within any supply chain. Our unique insights enable customers to understand and manage risks from exposed and compromised data. We are hiring a Senior Platform Engineer to own and evolve our core engineering infrastructure: our build system, deployment pipelines, and cloud infrastructure. You will be the go-to expert for these systems, working closely with founders and software engineers in a small, friendly, international team. We are looking for a versatile and proactive engineer who is passionate about developer productivity and enjoys building robust, automated systems. You will dive deep into our monorepo (Bazel) and cloud environment (AWS/Terraform) to solve complex build, deployment, and infrastructure challenges. As a core member of the engineering team, your mission will be to empower your fellow engineers. You will spend your time understanding their technical needs, architecting solutions, and delivering a reliable internal platform that allows the team to ship high-quality code faster and more safely. Your work will be the foundation that enables us to solve some of our most interesting, urgent, and taxing problems. We primarily work with: • Bazel, • Terraform, • GitHub Actions, • F#, • Python, • Docker, • AWS Required demonstrable experience in: • Delivering high availability across complex infrastructure, • Managing complex build systems (e.g., Bazel, Gradle, Pants) in a monorepo environment, • Building and maintaining robust CI/CD pipelines, ideally with GitHub Actions., • Production experience with containerization (Docker) and orchestration (AWS ECS, Kubernetes), • Deep knowledge of Infrastructure as Code, specifically Terraform., • Managing core AWS services (e.g., ECS, ECR, IAM, VPC), • Experience identifying reliability issues and cost saving opportunities through effective monitoring, • Scripting and automation, • Experience with Git Ops, • Hands-on experience delivering Zero Trust infrastructure We are interested in candidates who value: • Team working, • Delivering measurable high quality software, • Keeping sight of the big picture, • Friendly technical discussions and whiteboarding This is a great opportunity to join a fast growing company at an early stage and make a significant contribution. The role will be remunerated through a salary and, after a qualifying period, you will be granted a meaningful share in the company through an options grant. Candidates must have the right to work in the United Kingdom. The role is remote first with in-person meetings in London.

Software Engineer – AI Startup – Up to 85k 🚀🧠 💰 Salary: £50,000 - £85,000 + meaningful equity 🏙️ Location: London, flexible working arrangements, ideally 1/2 days in office 💻 Tech Stack: Python, Flask, FastAPI, React, TypeScript, GCP (Backend Leaning) Our y-combinator backend client are building an elite engineering team within the AI space. The platform is being used across the globe and is delivering high level impact to their customers. If you're highly ambitious and want to solve real-world problems with the latest in AI and LLMs, this role is for you. In this role, you’ll: 🔧 Build and ship high-impact software 🧠 Work on AI/LLM-powered automation tools used in production 🏗️ Help shape scalable systems and infrastructure 🌍 Work collectively across teams to push the product forward 💻 Be working end-to-end on both backend and frontend You’ll thrive in this role if you: ✅ Love building and shipping quickly ✅ Enjoy working closely with customers and value their needs ✅ Are excited by deep technical challenges and solving them simply, don't over complicate it ✅ Bring ideas and improvements to their engineering processes ✅ Are adaptable and comfortable working across their stack ✅ Understand the working dynamics of a fast paced start-up If this role sounds like it could be of interest, apply now! Software Engineer – AI Startup – Up to 85k 🚀🧠

💻 eDV Software Engineer - Mid-Lead Level - Security & Defence 📍 Location: London, Gloucester, or Manchester (Hybrid options available) 💰 Salary: £47,000 - £90,000 + clearance uplift + company bonuses + benefits 🟩 Clearance: Active eDV Clearance is essential Join one of the UK’s most impactful mission-led technology teams and work at the sharp end of national security. We’re working with a range of defence primes, specialist consultancies, and tech-first SMEs delivering cutting-edge software solutions to protect the UK’s critical assets. These roles are core to national security, working across projects in cyber defence, secure data systems, threat intelligence, and high-integrity platforms. You will need active enhanced DV to be successful. What you’ll do: • Design, develop, and maintain secure software systems that meet mission-critical demands, • Collaborate with multidisciplinary teams (DevOps, Data, Cyber, Architecture) to build robust, scalable tools, • Engage with clients and security stakeholders to ensure compliance and reliability, • Work across a modern tech stack in low-trust, high-sensitivity environments, • Contribute to systems architecture, testing, integration, and deployment Ideal Background: • Strong experience in modern programming languages (Python, Java, Typescript, JavaScript), • Familiarity with secure coding principles and systems engineering, • Experience with cloud platforms (AWS, Azure, GCP) and DevOps tooling is a bonus, • Comfortable working in agile, iterative environments, • Active DV clearance is essential, • A passion for mission-focused work and working in a collaborative, accountable team If you're a software engineer with active clearance, who thrives on purpose, complexity, and technical challenge, let's talk. Drop a message or email to apply - all conversations are confidential.

C++ Software Engineer | Proprietary Trading | Amsterdam Elevate Partners are partnered with a global leading prop trading firm currently seeking experienced C++ Software Engineers to join their high-performing technology team in Amsterdam. Technology sits at the core of the business, with proprietary systems driving millions of trading decisions daily across global markets. The successful candidate will join a highly collaborative engineering environment focused on building ultra-low latency, high-performance systems that directly impact trading performance. The engineering team develops software operating within the latency-critical layer of the firm’s trading infrastructure. This includes market connectivity, large-scale data handling, trading algorithms, execution systems, and advanced hardware integrations. Key Responsibilities • Design, develop, test, deploy, and maintain high-performance C++ applications within a low-latency trading environment, • Build scalable and reliable software solutions for trading, execution, and hardware development teams, • Work closely with traders, quantitative researchers, and engineers on end-to-end product development, • Gather business requirements and collaborate with key internal stakeholders to deliver innovative technical solutions, • Contribute to greenfield projects while taking ownership across the full software development lifecycle, • Balance performance, latency, scalability, maintainability, and reliability across complex distributed systems, • Operate within an agile engineering environment with advanced automated testing and continuous deployment practices Requirements • 5+ years’ professional software engineering experience post-graduation, • Strong commercial C++ development experience, ideally using modern C++ standards, • Experience working within Linux environments, • Familiarity with Python scripting, • Exposure to Docker and Kubernetes environments This is an excellent opportunity to join one of the most technically sophisticated proprietary trading environments globally, working on mission-critical systems alongside some of the strongest engineering and trading talent in the market.

Barrington James’s specialist Software & Electronics Division is currently searching for a Software Engineer on a full time permanent basis in West London, England. (This opportunity is hybrid with 3 days a week on site required) To be considered for this position: Essential: Hardware Integration, Python (NumPy, SciPy, Pandas, Matplotlib, Sklearn, PyTorch), Desirable: GUI (Tkinter, PySide), C++, Life Science experience (Optics, Lenses etc.) Responsibilities/Requirements • Develop and maintain Python-based software for scientific data processing, modelling, and analysis., • Design and build user-friendly interfaces and tools to support research and operational workflows., • Integrate software with laboratory hardware and instrumentation for data acquisition and control., • Collaborate with engineers and scientists to deliver R&D projects, troubleshoot issues, and support users., • Follow best practices in software development, including testing, version control, and documentation. If this role is of interest, please apply or email for more information.

Lead AI Python Engineer We’re working with an early-stage AI product company in London building software that automates real-world operational workflows using Python and applied AI. This is a hands-on engineering role focused on designing and building backend systems, APIs, and data-driven workflows that power AI features used in production. You’ll work closely with product and design to take ideas from concept to live features, integrating LLM capabilities into practical use cases. The role is around 80 percent coding and 20 percent leadership. Alongside building systems, you’ll mentor engineers, contribute to code reviews, and help shape technical decisions as the team grows. You’ll be responsible for: Designing and building scalable backend services using Python Developing APIs that support core product functionality Integrating LLM and AI-driven features into workflows Improving system performance, reliability, and maintainability Collaborating cross-functionally to deliver features end to end Key requirements: 4 to 8 years software engineering experience Strong Python backend skills, APIs, and frameworks such as FastAPI, Flask, or Django Experience building production systems in a startup or fast-paced environment Familiarity with cloud platforms such as AWS, GCP, or Azure Exposure to AI, LLMs, or RAG is beneficial You’ll join a small, product-focused team with high ownership and the opportunity to influence both engineering direction and product development.

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. We are looking for a passionate and skilled Senior Full Stack Engineer to join our innovative team in London. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. Responsibilities • Design and implement a centralized cloud-based platform for managing a fleet of humanoid robots, monitoring system health, and visualizing fleet-level KPIs, • Develop robust backend services to support the platform, including APIs for communication, data management, and integrations with robotic systems., • Build lightweight software services that run on the robots, enabling remote control, data collection, diagnostics, and state management., • Build and deploy reliable, secure infrastructure for running services, • Streamline and automate workflows, including software deployment, performance monitoring, and diagnostics, to enhance reliability and efficiency., • Implement testing pipelines to validate the functionality of the UI, backend, and robot services, • Proficiency in one of Python, Javascript, Golang or Rust, • Familiarity with React (or similar frameworks) for creating user-friendly web applications., • Expertise in API design, data modeling, and distributed architectures, • Proficiency with CI/CD pipelines, containerization (e.g., Docker, Kubernetes), and workflow automation., • Proficiency in infrastructure-as-code solutions like Terraform, Pulumi or AWS CDK, • Understanding of network protocols and secure data exchange between services., • Excellent skills in diagnosing and resolving technical challenges across integrated systems., • Competitive salary plus participation in our Stock Option Plan, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Office perks: free breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy