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The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We're in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We're here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. About the Team AISI's Chem Bio (CB) team conducts technical research to assess evolving AI capabilities related to science R&D and CB misuse, and the effectiveness of technical safeguards that might mitigate risks arising from those capabilities. The goal of our research is to inform critical decisions on security, opportunities, policy, and risk mitigation made by governments and AI developers. We're a close-knit, unusually interdisciplinary team-made up of machine learning researchers and engineers, software engineers, virologists and bacteriologists, behavioural research scientists, biosecurity experts, long-standing CB policy specialists and talented generalists-who work closely with other technical and policy teams across government. Role Responsibilities We are building a dedicated engineering function within the CB team - a small team that owns the shared platform, tooling, and infrastructure that our research projects depend on. This role is a senior individual contributor within that function. The successful candidate will: Design and build reliable systems - architect and deliver core platform components that enable researchers to run experiments and ship results quickly, including LLM-based agent systems, evaluation frameworks, and supporting infrastructure. Work closely with researchers - translate varied research needs across general agents, science agents, chemical and biological models and other CB workstreams into well-engineered, maintainable systems. Own and deliver significant engineering work - take responsibility for substantial technical projects and shared components, driving them from design through implementation, iteration, and maintenance. Write high-quality production code - build scalable, robust, and maintainable software, primarily in Python, with strong engineering discipline around testing, documentation, and observability. Contribute to engineering standards and practices - help improve code quality, development workflows, and shared engineering approaches within a growing engineering team embedded in a research-heavy environment. Collaborate across AISI - work with our Core Technology and engineering teams to share tooling, align on infrastructure, and avoid duplication. Support technical direction - contribute to architectural decisions, identify opportunities to strengthen shared infrastructure, and help make pragmatic technical trade-offs. Mentor others through technical leadership - support other engineers through collaboration, code review, and knowledge sharing, without formal line-management responsibility. Role Requirements We are looking for the following skills, experience and attitudes, but a successful candidate will not necessarily need to meet all these criteria. We can be flexible in shaping the role and salary to your background, expertise, and level of experience. Significant experience writing production-level Python code that is scalable, robust, and easy to maintain, with a track record of delivering substantial technical work. Strong infrastructure and platform skills - experience with cloud environments (AWS), container orchestration (Kubernetes), and job scheduling (Slurm or similar). Experience owning technical projects or major systems as a senior individual contributor. You do not need formal management experience for this role. Familiarity with the AI/ML ecosystem: OpenAI-compatible APIs, PyTorch, and the tooling around LLM-based systems. Ability to work across multiple teams, understanding varied research needs and delivering reliable engineering solutions. A sense of mission, urgency, and responsibility for success: Demonstrated ability to solve challenging problems, implement solutions efficiently and acquire any missing knowledge necessary to get the job done. Motivated to build software with direct policy impact. Strong communication skills, with the ability to work effectively in a dynamic, multidisciplinary team environment. Strong candidates may also have: Experience working in a research environment - you don't need to be a researcher, but you should be comfortable working alongside them and translating ambiguous research requirements into engineering plans. Familiarity with computational biology tools, workflows, or datasets. Experience building or maintaining internal developer platforms, shared libraries, or CI/CD systems for technical teams. Other core requirements You should be able to spend at least 9 days per fortnight working with us. You should be willing to work from our office in London (Whitehall) at least 3 days/week. You should be UK-based. What We Offer Impactyou couldn't have anywhere else Incredibly talented, mission-drivenand supportive colleagues. Direct influence on how frontier AI is governed and deployed globally. Work with the Prime Minister's AI Advisor and leading AI companies. Opportunity to shape the first & best-resourced public-interest research team focused on AI security. Resources & access Pre-release access to multiple frontier models and ample compute. Extensive operational support so you can focus on research and ship quickly. Work with experts across national security, policy, AI researchand adjacent sciences. Ifyou'rtalented and driven,you'llown important problems early. 5 days offand annual stipends forlearning and development, andfunding for conferences and external collaborations. Freedom to pursue research bets without product pressure. Opportunities to publish and collaborate externally. Life & family Modern central London office (cafes, food court, gym),orwhere applicable,optionto work in similar government offices in Birmingham, Cardiff, Darlington, Edinburgh,Salfordor Bristol. Hybrid working, flexibility for occasional remote work abroad and stipends for work-from-home equipment. At least 25 days' annual leave, 8 public holidays, extra team-widebreaksand 3 days off for volunteering. Generous paid parental leave (36 weeks of UK statutory leave shared between parents + 3 extra paid weeks + option foradditionalunpaid time). On top of your salary, we contribute 28.97% of your base salary to your pension. Discounts and benefits for cycling to work, donations and retail/gyms. Annual salary is benchmarked to role scope and relevant experience. Most offers land between £65,000 and £145,000 made up of a base salary plus a technical allowance (take-home salary = base + technical allowance). An additional 28.97% employer pension contribution is paid on the base salary. This role sits outside of the DDaT pay framework given the scope of this role requires in depth technicalexpertisein frontier AI safety,robustnessand advanced AI architectures. The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria.

Fuzzy Labs is a fast-growing, Manchester-based tech consultancy that helps a diverse range of clients productionise machine learning using Open Source MLOps. We exist to help our customers harness and channel the power of AI safely and effectively, to make positive change and use AI for good. Our work sits across the whole development lifecycle, from prototyping new machine learning models to building scalable and secure production ML systems, and everything in between. Our work spans disruptive startups, multi-national organisations, policing, and secure government sectors, providing you with the unique opportunity to make a tangible, real-world impact. We've had considerable growth over the last few years and we're looking to continue with this momentum as we build on our reputation as Open Source MLOps experts, expand our role within the community, and continue to deliver high-quality solutions to our clients. What we're looking for The ideal candidate will be motivated to grow and progress in line with the company's ambitions: we're looking for passionate engineers with an appetite for keeping up with the cutting edge, an eye for detail, and a knack for creative problem solving. As well as being a great engineer, motivated by the chance to be at the forefront of MLOps adoption, you'll also enjoy being part of a culture that values: Loving what we do: a real passion for Open Source, MLOps, and taking pride in our work. Just trying it: MLOps is an exciting new field. We love to develop new skills, solve new problems and thrive on a challenge. Being greater than the sum of parts: we are a team, one that isn't just us but our customers and our community. Positive impact: AI is going to change the world. We choose to use it for good and leave a positive legacy. A typical day Our engineers collaborate closely with their team leads and the customer to design and implement high quality solutions. We encourage our senior engineers to work with a high degree of autonomy and own workstreams across every stage of the project delivery lifecycle, including: Working closely with clients to understand their needs, build strong relationships, and bring them along on the journey. This includes leading demos and participating in workshops and training sessions. Designing and implementing features and full workstreams to a high standard of engineering, including good documentation and automated testing. Contributing to sprint planning, retrospectives and code reviews, working with your team lead to design systems and plan their implementation. Ensuring our high engineering standards are maintained and our clients are delighted. Staying up-to-date with a fast-moving industry, embracing new tools and frameworks, and sharing our learnings with the team. As well as client work, we also set aside time to work on R&D projects and produce content in the form of blogs and videos. These projects are how we keep on top of a fast-moving technology landscape, in addition to being our greatest source of marketing. You'll have the opportunity to craft your own voice in the MLOps community through R&D content. Skills and Experience Our team is made up of a mix of backgrounds. We are looking for smart, curious people who are always expanding their knowledge and exploring new and emerging technologies. If you get excited about keeping up with the newest machine learning research, or figuring out how to scale generative models in the cloud, then you'll fit right in. Some of the skills and experience we look for include: An undergraduate degree in computer science, mathematics, or similar, or a relevant postgraduate degree. A passion for coding, machine learning, open source technologies, and setting the standards for their implementation and adoption. Strong experience building production-grade ML software in Python - this could include training and serving machine learning models, building large-scale inference services, or integrating . Experience deploying ML services in a cloud environment, for example AWS, Google Cloud or Azure, along with modern DevOps practices and infrastructure-as-code tooling. Fluency in our core tooling: Git, Unix/Linux, Docker, and common open-source MLOps tools. You should be aware of the broad landscape of machine learning applications, tools, and technologies and willing to deepen your knowledge. We encourage you to apply even if you don't meet all of the requirements. MLOps is an emerging field, which sits somewhere in the intersection of data science, machine learning engineering, and DevOps. We're excited to speak to candidates from any of these backgrounds; you don't need an explicit MLOps background to apply for this role, as you'll learn as you go by immersing yourself in this exciting new field. By joining a growing company you'll have the chance to make a real impact on its future. There's plenty of room for growth and we'll work with you to help you realise your technical and personal ambitions because your success and the company's success are one and the same. Benefits 25 days holiday rising to 30 with each year of service Enhanced family leave, including maternity, paternity and adoption leave £500 annual personal development budget and AI assistant of your choice Equity option scheme, giving you a genuine stake in the business Hybrid working in a vibrant, central Manchester office with free fruit, cereals, and hot & cold drinks Cycle to Work Scheme and secure bike storage Paid time off for charity and volunteering Company socials, summer and Christmas parties Location and Eligibility As a hybrid-working organisation, we bring the team together in the office three days each week on Mondays, Wednesdays and Thursdays, and work remotely on the remaining days. We have found that regular, structured time in person enables us to make decisions more quickly, collaborate more effectively, and build the strong working relationships that underpin our work. For that reason, being able to join us in our central Manchester office on those set days is an essential part of the role. At the same time, we recognise that personal circumstances vary. We aim to approach individual situations with flexibility and openness, and we're always willing to have a conversation where specific needs arise. Finally, due to the sensitive nature of some projects, you will be required to undergo UK government security clearance after you start (at SC level - see this link for more information). This will include a credit check and criminal records check. As a result, we're only able to consider candidates who have been resident in the UK for 5 or more years.

About the role We're looking for a Software Engineer to help us build high-quality, reliable backend systems that accelerate our mission. This role sits within our mortgage engineering team. You'll work across the backend stack, owning features end to end: from shaping product and technical requirements through implementation, launch, and iteration. This role is ideal for a hungry, ambitious engineer who wants to step up quickly; someone with strong engineering fundamentals, high ownership, and the drive to grow into a senior-level contributor. What you'll be doing: Build and ship high-quality backend features using Python, Django, RESTful APIs, GraphQL, Pydantic, Postgres, and Google Cloud Own backend work from concept through delivery, including technical design, implementation, testing, deployment, and iteration Collaborate with internal teams and external engineering partners to deliver features with cross-team dependencies Work closely with frontend to shape excellent user-facing and internal experiences Bring strong technical judgment to the table, improving not just how systems work, but how they scale and evolve Contribute to backend architecture, API design, data modelling, performance, reliability, security, and developer experience Raise the standard of your own work and the work of those around you Who you are: Strong hands-on experience building backend systems with Python Practical experience working with Django Experience designing or consuming RESTful APIs Experience designing and exposing GraphQL APIs for frontend applications Experience working with Postgres and relational data models Familiarity with Pydantic, typed Python, or modern Python engineering practices Some experience with cloud infrastructure, ideally Google Cloud, or a strong desire to learn A good eye for clean architecture, API design, performance, reliability, and maintainability A product-minded approach: you care about the "why" behind what you're building A strong sense of ownership and accountability The ability to uncover unknowns, navigate ambiguity, and turn complex problems into clear, shippable solutions Pride in your craft, clean code, thoughtful reviews, and helping others grow Ideally, you'll also have: Experience with PDF generation or document rendering workflows Experience in early-stage or fast-moving product teams Familiarity with observability, monitoring, alerting, and infrastructure operations A data-driven approach to decision-making Openness to change, innovation, and the ways AI will reshape how products are built and used What makes someone successful in this role You don't just "take tickets." You think like a product builder. You're hungry to learn, quick to take ownership, and motivated by the chance to grow fast. You notice when a system could be simpler, when an API could be clearer, or when a technical decision needs more care. You're comfortable stepping into ambiguity, asking good questions, making decisions, and pushing work over the finish line. What we offer Everyone owns a piece of the company - equity Hybrid with 3 days a week in the office 25 days' holiday a year, plus 8 bank holidays 2 paid volunteering days per year One month paid sabbatical after 4 years Employee loan Free gym membership through WellHub Team wellness budget to be active together - set up a yoga class, a tennis lesson or go bouldering

About Neutreeno Climate change is the defining business challenge of our time, and we're here to solve it. Most decarbonisation solutions count emissions but do nothing to reduce them. We've changed that. We're Neutreeno, an emissions-to-performance platform, born out of the University of Cambridge's Department of Engineering. We help companies with supply chains and production processes turn emissions data into operational insight, the kind that cuts costs, sharpens decisions, and unlocks genuine competitive advantage. For operations and finance, it's margin they can measure. For sustainability teams, it's progress they can prove. Same data, two audiences, one engine. We're a fast-moving team that values EQ just as much as IQ. Autonomy, high-ownership, speed and no-ego collaboration are at our core. We seek people who care deeply and are eager to work on solving problems bigger than themselves. The Role As a Senior Full Stack Software Engineer and key member of the Neutreeno team, you'll be shipping great software, bringing strong engineering judgment, and making the team better through craft and collaboration. You'll ship across the full stack, crafting clean React UIs, building reliable Node.js and Python services, and deploying to AWS. You'll own features end-to-end alongside a small, strong engineering team, and you'll have real influence over how the product evolves. You also use AI coding tools and agentic workflows as a force multiplier, and you're actively curious about how they change what a small engineering team can achieve. This position operates on a hybrid work model with 3 days per week in our Cambridge office. Fully remote arrangements may be considered for outstanding international candidates, provided there is sufficient overlap with UK working hours. The Work You'll Do Technical Leadership Build responsive, modular UIs in React and TypeScript that make complex emissions data feel simple and intuitive. Develop and maintain backend services in Node.js, designing clean APIs and working with cloud-native AWS infrastructure. Ship features end-to-end: from picking up a product brief to deploying to production via our CI/CD pipelines. Contribute to the technical direction of Neutreeno, helping inform architectural decisions that balance speed, quality, and long-term scalability. Champion AI-native development practices and agentic workflows across your own work and actively share that thinking with the wider team. Team and Product Partner closely with the Neutreeno team to translate product ambitions into well-scoped, well-sequenced engineering work. Feed into the engineering roadmap, providing strong technical input on prioritisation, feature velocity, and technical health. Contribute to hiring decisions and help shape an engineering culture that helps Neutreeno scale. Communicate clearly about technical decisions and progress with product, design, and the wider team. The Minimum Qualifications You'll Need 7 or more years of professional software engineering experience. A strong individual contributor deeply motivated to stay hands on in the codebase, with a collaborative approach to sharing knowledge and raising quality across the team. Deep proficiency across the full stack, including React and TypeScript on the front end and Node.js on the back end. Solid experience with AWS infrastructure and cloud-native deployment. A proven track record of shipping high-quality software at pace. Real, daily use of AI coding tools and agentic development workflows as a core part of how you work. Strong communication and the ability to build trust quickly across engineering, product, and leadership. Preferred Qualifications Experience at an early stage startup as a senior individual contributor. Familiarity with GraphQL, Terraform, or CI/CD pipeline design. Experience integrating LLMs or building AI powered product features. Exposure to climate, sustainability, or deep tech domains. Degree in Computer Science or a related field (not required, track record speaks louder). What We Offer Compensations & Benefits: Competitive pay dependent on your skills, qualifications and experience. Year end performance bonus. 25 days annual leave. Competitive stock option plan. We want you to think and benefit like an owner as the company grows. Company pension with NEST. Leading private health insurance with WPA (the only Which? Recommended Provider for Private Medical Insurance). Cycle to work scheme. Work Environment: A hybrid work model that fosters both teamwork and individual flexibility. Remote working allowance (2 weeks per year). Work from Neutreeno HQ at the Cambridge Institute for Sustainability Leadership, recognised by the FT as one of Europe's leading startup hubs. Great on site amenities (unlimited free coffee, monthly events with global sustainability leaders). Culture & Growth: A flat, fast growing team (200%+ YoY growth) from diverse backgrounds that recently closed a $5M seed round. An open-minded culture with a flat hierarchy and everyone vectoring in the same direction and where ideas and ownership matter. The chance to work alongside world class climate scientists and engineers on one of the most important problems of our time. How to Apply If you're a senior engineer who loves great code, thrives in a fast moving environment, and has a genuine point of view on how AI tooling fits into modern development, we want to hear from you. To apply, send your CV and a cover letter covering two things: how AI tooling features in your day to day development work, and what's drawing you to Neutreeno specifically. Neutreeno is an equal opportunity employer committed to creating an inclusive workplace.

The opportunity Substrate is building a network of fully autonomous wet labs, cloud-based data production facilities for AI biology, integrated with foundation models to become the critical infrastructure layer for AI-driven biological discovery. Our first node opens in King's Cross, London, with several integrated workcells and two scientific verticals online by mid-2027. Our customers range from foundation model labs to global pharma. We are hiring a founding software engineer to lead the team that builds Substrate's operational software, the system that turns scientific intent into executed lab work, captures every run as structured data, and routes that data back to model training, customer pipelines, and Substrate's own data factory. This is a player coach role. You will write the first production code for the orchestrator, the customer interface, and the resource management layer, and you will recruit and lead the engineers who come after. About Substrate Substrate is spinning out of Automata, the UK lab automation company that has built the workcell platform our labs run on. Our four co-founders are Mostafa ElSayed (CEO and founder of Automata), Oli Hoy (formerly VP Customer Experience at Automata), Alexey Morgunov (AI Scientist co-founder, leading the Intelligence Software product), and a Founding Biology Lead joining shortly. We are aiming to have ramped up to 32 people by the end of Q1 2027. We are funded in parallel by a combination of venture funding and government grants. We are not a cloud lab, and we are not a CRO. We are an autonomous lab platform with closed-loop integration available as one operating mode for foundation model partners. The role You will own the operational software product end to end. The product has five surfaces. The loop orchestrator is the heart of it: two agentic translation layers that convert scientific intent (model output, natural language, or structured input) into executable, automated workflows, and convert workflow outputs and run metadata back into destination-specific formats for delivery to foundation models, LIMS, customer data lakes, and ELNs. Resource management will track consumables, reagents, and labware, and maintain a live representation of the physical lab so that physical inputs can be mapped onto workflow outputs. The customer interface is API-first with a web front end. The workflow orchestrator sits above Automata's LINQ scheduler and manages capacity allocation across customers, verticals, and device groups. The pricing and forecast engine calculates predicted and actual platform inputs and translates them into customer cost. You will write the first production code, set the architecture, set the engineering culture, and grow the team. You will have the opportunity to build a team and help set the culture within the company. You will work closely with Alexey on the boundary between our operational software and our intelligence software (the AI Scientist and AI Assays products), and with the founding biology team on the orchestrator behaviour on the lab side. What you will do in your first twelve months PHASE 0: NOW TO AUG 2026 Land in the team. Lock the architecture for the orchestrator and the customer interface. Decide the build vs buy boundary against LINQ. Ship the first end to end thin slice: a simple workflow submitted via the customer API, executable on a workcell, with run metadata captured and returned. Set the engineering culture: code review, deployment, on call, observability. Pick the languages, frameworks, and tooling we will live with. PHASE 1: SEP TO DEC 2026 Stand up the resource management and digital twin services. Wire them into the protein engineering workflows being onboarded by the founding biology team. Hire the first software engineer alongside you. Define the role, run the process, close the offer. Ship the first version of the pricing and forecast engine. Connect it to the customer interface so that customers see predicted cost before they submit. PHASE 2: JAN TO MAR 2027 Ramp up hiring. Move from solo building to leading a larger team. Bring the workflow orchestrator above LINQ into production. Manage capacity allocation across the protein engineering vertical and the early functional genomics work. Harden the loop orchestrator for the closed-loop foundation model partners coming online from mid-2027. Who you are You are an experienced software engineer who has shipped production systems at depth. You have led a small team or are ready to. You write good code at speed, you have strong opinions about architecture, and you have learned (often the hard way) when to defer those opinions. You have worked at the boundary where software meets physical reality (lab automation, robotics, manufacturing, logistics, scientific instruments, energy) and you understand that the interesting failure modes live there. You are excited by the prospect of writing the first lines of code for a system that will run a real lab. You are pragmatic about agentic systems and foundation models; you have used them in production rather than read about them in posts. You want a player coach role specifically. You enjoy interviewing, hiring, mentoring, and building culture, and you do not want to be only an individual contributor or only a manager. You care deeply about building a world class team. You are comfortable with early stage ambiguity, with making decisions on partial information, and with revisiting them when better information arrives. MUST HAVE Five or more years of professional software engineering experience, with at least one leading or co-leading a small team. Production experience with backend systems, distributed services, and either workflow orchestration or scheduling systems. Strong working comfort with at least Python, and willingness to learn the necessary tools. Track record of designing APIs that other engineers have actually used. Direct experience of the software-to-hardware boundary, in lab automation, robotics, manufacturing, or an analogous domain. NICE TO HAVE Experience of an early-stage founding-engineer role at a venture-backed company. Familiarity with foundation model APIs, agentic patterns, and the practical realities of putting them in production. Background in or near scientific computing, bioinformatics, or LIMS / ELN systems. Why this is unusual Most software engineering roles at venture-backed companies are either a pure software product or a thin software layer on top of someone else's infrastructure. This is neither. You will be writing the software that decides what physical experiments run, when, on which workcell, with which reagents, for which customer, and you will be doing that inside a wet lab business with biology and engineering colleagues at the same table. Operational software is also one of three product surfaces being built simultaneously. Alexey is leading the efforts on intelligence software (the AI Scientist and AI Assays products). The biology team is building the assay portfolio. Your work has to integrate cleanly with both, and you will spend real time at the boundary. Some engineers find this energising; some find it distracting. Worth knowing in advance which one you are. Compensation and equity We pay competitively against the London market for senior software engineers at venture-backed companies, calibrated to seniority and to the specific scope of this role. We will discuss numbers with serious candidates after first conversations. Equity is meaningful, with vesting on the standard four-year schedule and a one-year cliff. We can talk through the philosophy and the maths in detail when we meet. How we work Working pattern is open. We will design around the strongest candidate, with a bias towards willingness to spend some in-person time at our King's Cross site, particularly during the early phases while the team is forming and the architecture is being set. Most of the founding team are in the office most days. 30 days annual leave. A learning budget you can use for conferences, courses, books, and time. The founding team operates on a weekly cadence with a Monday planning meeting and a Friday close, and a quarterly offsite. We are direct with each other, we write things down, and we expect to be challenged. The team you will join You will report to Oli Hoy, co-founder, who leads our autonomous lab buildout and is also responsible for the broader operations of the company. You will work most closely with Alexey Morgunov on the intelligence software boundary, and with the founding biology team on the orchestrator behaviour at the lab side. How to apply Apply via Ashby with whatever you think shows your work best: a CV, a short email, links to GitHub or to systems you have built, a piece of writing you are proud of. We read everything that comes in. Our process is four stages. An initial conversation with Oli to understand what you want from the role and what we want from it. Two technical sessions with our external technical advisor: an architecture deep-dive on how you would build the operational software, and a session on how you would build and lead the engineering team. Finally, an in-person founder-team session covering scope, terms, and any final questions. We aim to move fast on candidates we are excited about; expect roughly two to three weeks end to end. If you are not sure whether you are a fit, send a note anyway. The most useful conversations we have had so far have been with people who were not sure. Substrate is an equal opportunity employer . click apply for full job details

Description London, UK Hybrid (3 days in our Paddington HQ: Mon, Tue, Fri) Stack: Python, Flask, SQLAlchemy, MySQL, AWS (React on the frontend) In 2018 we set out to solve a problem millions of people faced: not just struggling with their skin, but struggling to navigate skincare at all. We combined dermatology, pharmacy and technology into something simpler and genuinely personalised, and proved expert-led care could reach people who'd never had access to it. Today, +Me is the company behind Skin + Me, Hair + Me and Renew + Me , with more on the horizon. We're not building a single brand. We're building a category. We've delivered millions of treatments, we're profitable and growing fast, and we're expanding the engineering team to match. What you'll build You ll join the team behind our core commerce and clinical journey: the ecom stack, consultation engine, patient and prescription systems, and order generation. This is where customers discover us, complete a clinical consultation, subscribe, and receive their personalised treatment, at real consumer scale. On our Python and React stack, that's the storefront behind Skin + Me and Hair + Me, our flagship brands serving customers at scale. We're hiring a Backend Engineer to go deep on the server side of this system in our Python / Flask stack: the APIs, data models and services behind consultations, prescriptions and orders. You'll learn fast alongside experienced engineers who'll back your growth, and you'll be comfortable making frontend (React) changes when a feature needs it, but backend is your craft. What you'll do Build the services behind the journey: APIs, data models and services powering consultations, prescriptions and order generation, with support from senior engineers. Ship and own: take backend features from ticket to production and keep them fast, correct and healthy once they're live. Write code others build on: clean, well-tested, and clear enough for the next person to pick up. What we're looking for Backend depth: solid, recent, hands-on experience building backend services and APIs in Python (Flask). A non-trivial piece of work you can walk us through and explain well. Good fundamentals: sound data modelling (SQLAlchemy/Alembic), sensible API design, and an instinct for testing. Care where it counts: you treat correctness as a feature, because this code generates real prescriptions and orders. Enough frontend to be useful: comfortable making React changes when a feature needs it (frontend won't be your main focus). The stack: Python and Flask; relational databases (MySQL ideal); some exposure to AWS/Docker is a plus. Clear communication: much of our work is written (PRs, docs), so explaining a decision crisply matters. Roughly 3-6 years building software in production. We read for depth in your area, not years. How we work We're a small, experienced engineering team working closely with product, clinical and operations. We care about craft: clean code, honest reviews, and owning what you ship through to production. And because our software turns a clinical consultation into a real prescription and a treatment someone receives, correctness and care aren't optional here. They're the job. How we use AI Agentic tools like Claude Code and Codex are a standard part of how we work, and we're leaning into them hard: we automate the routine so we can spend our energy on the harder problems. You'll need to be comfortable working this way, and real skill with these tools is a genuine advantage we value. But it's a multiplier on strong engineering judgement, not a substitute for it, and never a prerequisite. If it's newer to you and you're keen to grow, we'll back you. Compensation & benefits We pay competitive base salaries and back them with meaningful equity, so your upside grows with the company you're helping build. Equity: a meaningful stake in a profitable, Series B-backed business that's growing fast, with flexibility on your cash/equity mix. Time off: 25 days holiday plus bank holidays. Hybrid & flexible: three days together in Paddington (Mon, Tue, Fri), remote Wed/Thu, core hours 10-4 with flexibility around them. Fuelled: free breakfast and lunch on office days, plus snacks and drinks. Growth: a £500 annual personal development budget. Family & health: healthcare cash plan, cycle-to-work, and a workplace nursery scheme (save tax/NI on childcare). The extras: a dog-friendly HQ (two resident pups), an active Culture Club, and heavily discounted products for you and 10 friends & family. How we hire We keep it short and respect your time: Intro call with our engineers (25-30 mins), including a short system-design chat. A conversation with our Director of Software Engineering (30 mins). A practical take-home task, in your own time. Onsite at our Paddington HQ to review your task and meet the team. Great engineers come from all kinds of backgrounds. If this resonates, even if you don't tick every box, we'd love to hear from you. Sound like you? We'd love to hear from you.

About AudioStack AudioStack is revolutionising the way brands and businesses create audio content at scale. Our AI-powered platform enables the seamless generation and customisation of high-quality audio (complete with voiceovers, SFX and music beds). We work with leading global brands, agencies, and developers, helping them unlock the full potential of audio automation. About the Role AudioStack is building the next generation of intelligent and automated audio creation - a system that uses AI agents to orchestrate audio production at scale. We're looking for a Senior Agentic AI Engineer to own the architecture and delivery of our agentic capabilities, from designing multi-step agent workflows to shipping production-grade orchestration pipelines. You'll join a small, high-impact backend team in London and work closely with product and engineering leadership to define how intelligence is embedded into our platform. This is a hands on, high ownership role: you'll scope problems with the product manager, design solutions, build them, and see them through to production - all in a fast-moving environment where priorities shift and ambiguity is the norm. What You'll Be Doing Own the end-to-end delivery of agentic systems - from scoping with Product to shipping to production. Design and implement multi agent orchestration systems, including agent loops, tool use patterns, and context management strategies. Make key architectural decisions around LLM integration: prompt design, caching strategies, cost management, and evaluation approaches. Build real time communication layers (Server Sent Events, WebSockets, HTTP/2 streaming) to power agent to frontend and agent to agent interactions. Contribute to the wider code base roadmap. Our product is great because we combine innovative AI and audio solutions in a best in class software foundation - all our engineers work to make the overall product exceptional. Raise the bar of backend engineering quality across the team through code review, knowledge sharing, and adoption of best practices. Collaborate with engineering and product leadership on technical direction, balancing short term delivery with long term platform health. Own the quality of the systems you build - including testing, monitoring, incident response, and iterating based on customer and stakeholder feedback. Strong production experience with Python and a track record of shipping backend systems to production end to end. Practical, hands on experience building agentic AI systems. Demonstrated ability to operate in a resource constrained, fast moving environment with ambiguous objectives and shifting priorities. Solid systems and solutions design skills, with the ability to scope problems, propose candidate architectures, and communicate trade offs clearly. Experience with real time communication protocols. Practical experience with cloud infrastructure, CI/CD pipelines - enough to bring a solution to production without depending on a dedicated infra team. A track record of raising engineering quality in a team - through code review, mentoring, or introducing better practices. Desirables Hands on experience going beyond out-of-the-box LLMs and prompt engineering such as RAG pipelines or fine tuning LLMs. Familiarity with agentic coding tools (e.g.Claude Code) and an understanding of patterns like context saturation management and agentic development loops. Background in audio, speech, or media technology. Stock Options (subject to performance and time served). The opportunity to work in a leading voice & audio AI company, with an exceptional tech team with diverse and highly recognised backgrounds. Be part of a great story: we are making audio scalable for the first time in history. Hybrid working and Flexible working hours with 2 days in the office per week. The opportunity to shape a startup culture in a company in the fast growing audio/video space. A truly international and diverse team. Offices in the hottest startup hubs London, Barcelona, New York and San Francisco Dog friendly offices (come and meet Swanson and Bernie)! Why Is Now a Really Exciting Time to Join AudioStack AudioStack is the leading Audio-As-A-Service company with a very strong technology stack and AI R&D team, featured in some of the leading media. We have a great team and culture and you will be immersive in a very international environment and market. We are still a small team of 40 people expanding rapidly internationally. As an early employee you have a lot of room to apply and grow your skills fast, build out a team and move quickly with your ideas, enjoying a lot of space, flexibility and trust. Join us now to revolutionise how audio production is delivered at scale! Our Commitment to Diversity We embrace diversity at AudioStack. To build a product that's loved by everyone, we need a team with all kinds of different perspectives, experiences, and backgrounds. That's why we're committed to hiring people regardless of race, religion, colour, national origin, sex, sexual orientation, gender identity, age or disability.

Senior Beacon Developer Competitive Salary + Uncapped Bonus Permanent Industry: Commodity Trading Location: London, UK Job Type: Permanent Our client is a global commodity trading firm building a strategic Beacon platform to support real time position reporting across its Power & Gas business. Following a successful Proof of Concept, they are expanding their Beacon engineering team to deliver the next phase of the programme. This is a hands on development role focused on modelling complex commodities products and building scalable solutions within Beacon. Working closely with traders, quantitative teams and business stakeholders, successful candidates will play a key role in shaping the firm's long term Beacon capability. What You'll Be Doing Develop and enhance Beacon based applications supporting real time position reporting and risk management across Power & Gas trading portfolios. Build and maintain integrations to ingest and model complex commodity trading positions and structured products within Beacon. Collaborate closely with traders, quantitative analysts and business stakeholders to translate requirements into scalable technical solutions. Work with pricing and model outputs, ensuring accurate integration and representation within the Beacon platform. Contribute directly to software engineering delivery, writing high quality Python and Beacon code across the development lifecycle. Support the modelling of complex commodities products including renewable generation assets, storage structures, options and other non standard instruments. Partner with global technology and trading teams to expand the platform from the US market into Europe and additional regions. Participate in technical design discussions and help shape the future architecture of the firm's Beacon ecosystem. Engage confidently with front office stakeholders in a fast paced trading environment, managing challenging conversations professionally and constructively. Contribute to the growth of a specialist Beacon engineering capability within a global commodities trading business. Requirements Essential Hands on Beacon development experience with a proven track record of building and delivering solutions directly within the platform. Strong Python development skills and the ability to contribute independently across the software development lifecycle. Experience working within commodity trading, energy trading or broader commodities focused technology environments. Solid understanding of pricing models, risk calculations and quantitative outputs, with the ability to integrate these effectively into technology platforms. Strong stakeholder management and communication skills, with experience working directly alongside front office users and trading teams. Ability to operate effectively within a demanding, fast paced trading environment. Demonstrated problem solving capability and a pragmatic engineering mindset focused on delivery. Highly Desirable Experience within Power & Gas trading environments. Experience modelling complex commodities products including storage, renewables, structured products and optionality. Strong understanding of commodity risk and position management workflows. Experience working with alternative Python based quant and trading platforms such as Athena or Quartz. Quantitative background or exposure sufficient to understand pricing models and risk methodologies without necessarily being a dedicated quantitative developer. Approximately six months or more of genuine hands on Beacon development experience will be considered for particularly strong software engineers. Experience operating within global commodity trading organisations and interacting directly with trading desks. Permanent hires are preferred, although strong contractors will also be considered. The role is best suited to hands on engineers who enjoy building technology solutions rather than managing teams, although senior individual contributors will be considered.

The Product & Engineering team is responsible for designing, building and scaling Data & AI products that power intelligent experiences, decisions and actions across the Tesco ecosystem. Working in close partnership with business and technology teams across Stores, Finance, People, Customer and Commercial, we enable the seamless build, integration and adoption of Data & AI capabilities that deliver measurable value. This is an opportunity to play a leading role in shaping a new generation of Data & AI products, from problem definition through to launch and scale, driving meaningful impact for Tesco colleagues and the wider business. This is a hybrid role with the expectation of being based at our London and Welwyn Garden City offices 3 days a week. The Software Development Engineer III is a senior, hands on engineer specialising in building and operating GenAI powered products, including LLM based applications and agentic workflows that enable intelligent decision making and automation. The role spans the full product lifecycle, translating complex business problems into production grade solutions across data, backend services, APIs and user facing applications, with a strong focus on reliability, guardrails and real user impact. The role also provides technical leadership by designing shared GenAI capabilities, supporting live systems and raising engineering and AI delivery standards across the team through mentoring and rigorous design practice. Responsibilities Data & AI Product Development: Take ideas from discovery through rapid prototypes to production grade solutions that combine data, user facing applications and backend services. Work closely with product managers, designers, data science and engineering teams to translate business needs into well designed technical solutions. Design and deliver LLM based applications and AI agents that enable intelligent decision making and automation, applying pragmatic engineering patterns and appropriate guardrails. Design and consume APIs that support responsive, intuitive UIs, working across backend, data and frontend layers to deliver coherent, production-ready experiences. Build shared capabilities (libraries, templates, services, prompts/config patterns, evaluation suites) that reduce duplication and enable other squads to adopt GenAI safely and consistently. Support and operate live systems, troubleshoot complex issues, perform root cause analysis and continuously improve reliability, quality and speed of delivery. Build and maintain web-based user interfaces using React.js, modern JavaScript / TypeScript, HTML and CSS, enabling colleagues to interact effectively with data and AI based tools. Technical Excellence: Promote strong software engineering practices across backend and frontend development, including CI/CD, testing, secure by default development, performance optimisation and observability. Support and operate live systems, troubleshoot complex issues, perform root cause analysis and continuously improve reliability, quality and speed of delivery. Technical Leadership: Provide hands on technical leadership through design reviews, mentoring and knowledge sharing, helping raise engineering standards across the team. Qualifications Strong experience as a senior software engineer delivering and operating production systems. Solid backend engineering experience (e.g. Python or similar), including API design, testing, CI/CD and operational support. Practical experience building LLM-powered applications (e.g. copilots, assistants, agent based workflows), with a focus on reliability and real user impact. Good working knowledge of React.js and modern JavaScript / TypeScript, with experience building and maintaining production web interfaces. Proficiency with HTML and CSS, and an understanding of usability, accessibility and performance considerations. Experience working across data, backend and UI layers, collaborating with others rather than owning every layer in isolation. Ability to make thoughtful technical trade offs, communicate clearly with both technical and non technical stakeholders and work effectively in a product led team.

London, England, United Kingdom Technology Senior Software Engineer (.NET) By bringing together next gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at Role You will join one of our established high performing teams within the Betting division, as we invest in our core and future Betting products. You will be focusing on the delivery of technical and product focused initiatives to expand and scale up our industry's leading Sportsbook and Risk Management products. One example is our Advanced Risk team, who were set up to challenge conventional wisdom about risk management for sports betting operators. Using new measures of liability that take account of correlations between different markets on an event, and by monitoring betting patterns from the moment an event is opened for betting, we apply margins asymmetrically in a way that helps operators to make higher profit margins, reduce volatility and improve customer experience with greater uptime and fewer rejected bets. Our software provides customers with a new level of flexibility over the way they manage their Sportsbooks to meet their financial objectives. Smart algorithms allow decisions about bets to be taken quickly at scale while enabling close control when desired, reminiscent of earlier days of sports betting. How you will work Join a specially formed, highly skilled team delivering an innovative & intelligent product! Forming part of a multi disciplinary Agile team of Software Engineers, Data Scientists, QA Engineers and a Product Manager, you will look to work closely to the fundamental principles of continuous delivery and empowered, high performing teams. We operate in a squad model to allow focus on the business top priorities, allowing exposure across multiple products while still maintaining strong ownership of your team's domain. If you are looking to tackle hard problems with smart solutions, collaborate with astute engineers and deliver high calibre code with an autonomous & performance focused approach that supports success, delivery & quality, then this is for you. As a Senior Software Engineer 1 (SR1) you and your team will build highly distributed, real time, dynamically scaling systems using modern CI/CD pipelines & cloud infrastructure. You will be responsible for innovating, architecting, delivering & maintaining an industry revolutionising product. You will lead execution of multi sprint features or systems with measurable business impact. We will lean on your technical expertise and your pragmatic approach to problem solving; working in a team that prioritises the principles of Agile delivery and continuous improvement. You will have a Data driven, evidence based mentality, comfortable with the principles of continuous experimentation and validation. What skills do you have? Expert level knowledge of at least one object oriented programming language (C#, Java, JS, Kotlin, Python, PHP, Golang, C++) Flexibility to work on all areas of the service stack, front end, back end, infrastructure, etc. Strong understanding of the principles of good software design. Familiarity with core concepts such as information hiding, abstraction, module design, cohesion and coupling. Strong software architecture knowledge, including architectural patterns and how to apply them to highly scalable, fault tolerant, observable microservices and systems. Detailed knowledge of testing methodology (TDD) and designing high quality testing suites resilient to changes in implementation. Experience with source control, continuous integration, pipeline design, containerised workloads and infrastructure as code. Experience in messaging and asynchronous communication technologies (RabbitMQ, Pulsar) Understanding of Data Structures, Databases and Caching Technologies Ability to bring clarity to complex domains, rapidly developing a deep understanding and challenging unclear requirements. Lead conversations that drive alignment and uncover edge cases others might miss. Experience mentoring engineers both within and outside the immediate team. It is advantageous for you to have knowledge of the following: Expert knowledge of C# Operation of Kubernetes Clusters Building cloud native applications ("AWS") Front end web technologies (React, shadcn) Domain Driven Design Mathematical Aptitude, particularly statistics Experience in building production grade software with Agentic AI What we expect from our co workers Curiosity and strong desire to learn and improve. Social skills, being able to act as a facilitator, can balance enabling others with individual contributions. Time management and asynchronous communication skills relevant for a remote first engineering organization. Enthusiasm and ability to work collaboratively within a team. Excellent spoken and written English. Adherence to our core engineering principles of Aligned Autonomy, Psychological Safety and Continuous Improvement. We enjoy an 'office first' culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required. As well as a competitive salary and range of benefits, we're committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward Genius Sports. One team, being brave, driving change. We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture Genius Sports. Let us know when you apply if you need any assistance during the recruiting process due to a disability. We invite all applicants to share their demographic background. If you choose to complete this survey, your responses may be used to identify areas of improvement in our hiring process. All data that you provide will be completely anonymous, you will not be personally identifiable by any of the data you include. This also means that if you choose to disclose a disability the Talent Acquisition team will not be personally identifiable to assist with any measures that might help during the process. Therefore, if you require any support throughout the application or interview process please ensure to reach out to the team directly and make them aware of any requirements, and we will do what we can to help.

We're putting together a talented team to build the training platform for Runners We help everyday runners become outstanding by building an incredible app providing world-class training, coaching and community for everyone, whether you're improving your 5k time or training for your first marathon. We're growing extremely fast! In November 2023 we closed a $6.5M funding round led by JamJar with participation from Eka Ventures, Venrex and Creator Ventures. In 2024, we were selected by Apple as one of three global finalists for the iPhone app of the year, reflecting the innovation and impact of what we've built & in 2025 we were acquired by Strava! Our ambition is huge: to become the go-to global leading training platform for millions of runners everywhere. We're growing with purpose and looking for people who want to build something meaningful with lasting impact. With the recent acquisition by Strava accelerating our journey, now is a really magical time to join. The team you'll join We're looking for a talented, curious and experimentation minded Senior Full Stack Engineer to join Growth Engineering team. This team owns key parts of the user journey into Runna, working across web and app to create high quality experiences that turn first time visitors into longterm, engaged subscribers. You'll collaborate closely with product, design and data partners, as well as our founders and CTO, to shape how new users first discover and experience Runna. What you'll be doing Architect, build, test and ship high impact user journeys and subscription funnels, focusing on turning curious visitors into active, engaged subscribers. Design and run experiments across web and app (such as onboarding flows, paywalls, and plan discovery experiences) to improve conversion at each step of the journey. Work closely with Product, Design and Data to prioritise opportunities, define clear success metrics and make decisions grounded in experiment results. Collaborate with other teams to ensure users have a smooth, consistent experience as they move between different products and platforms. Implement and maintain the instrumentation, tracking and tooling needed so we can understand behaviour, spot issues quickly and measure impact with confidence. Own features end to end: from early discovery and technical design through implementation, rollout, monitoring and iterative improvements. Contribute to our developer experience by improving CI/CD, testing and release workflows, enabling the team to ship and learn quickly. What you'll bring to the team Strong TypeScript/JavaScript experience. Experience building user facing product surfaces where conversion and UX really matter (onboarding, paywalls, landing pages, growth loops, etc). Comfortable working in a fast paced, iterative environment with lots of experimentation and learning from data. 2+ years experience in your main expertise area (frontend, backend or full stack). Skilled at delivering features end to end: from architecture and implementation through to rollout, measurement and iteration. You enjoy learning from experiments, and are as interested in what did not work as in the wins. Enthusiasm for our ways of working: Iterative development, continuous deployment and test automation. Knowledge sharing, pair programming and collaborative design. Shared ownership of code and outcomes across cross functional teams. Experience working full stack, or a strong interest in stretching across the stack. Bonus points if you have Experience with Swift or Kotlin for mobile, or Next.js for web experiences. Experience working on growth, experimentation, or funnel optimisation teams. Experience with analytics and experimentation tooling to support A/B tests. Our Tech Stack Frontend: React Native (iOS and Android) Typescript GraphQL (Apollo Client) Fastlane SwiftUI (Apple Watch) Maestro E2E tests Backend: Serverless (AWS) Lambdas (NodeJS & Python) AWS AppSync DynamoDB, S3, SQS, SNS, EventBridge, SageMaker Snowflake All the other good stuff: Sentry GitHub Actions Intercom, Mixpanel RevenueCat App Store Connect / Play Store Google Tag Manager Salary and Benefits We're offering a salary of £70,000-£78,000 per year, depending on experience, plus participation in Strava's long-term incentive (stock) programs. Overview of our benefits is below:We're also committed to continually evolving our benefits to support you as we grow. Here is a brief overview what we currently offer in the UK Flexible working - we typically spend 3 days a week together in our Vauxhall office ️ 25 days holiday, plus bank holidays (which you can take whenever suits you) Free Runna & Strava subscriptions for you and 3 of your friends (get ready to be your friends fave person or save them for holiday presents!) Headspace membership Money every year to spend on gear, events and the gym! Private health insurance with Bupa and workplace pension scheme Modern Health is a mental wellness platform and app that combines technology with professional support to improve mental well being and reduce stress Carrot fertility support - this benefits provider can provide inclusive fertility, hormonal health, and family forming benefits to our global employee population and takes the burden off what we know can be a stressful process. Please see more info on our amazing benefits here: Benefits at Runna Our Interview Process: Our aim is to keep the interview process as straightforward and enjoyable as possible, and will consist of the following stages: Screening call with Talent team (30 minute video call) Getting to Know You + Live Coding (45-minute video call, first 25 mins will be an introductory chat followed by two live coding exercises from ) Take home technical task (max 1-2 hours to complete, or if you have something interesting you recently built and would like to showcase then that's perfectly OK) 1.5-hour technical interview (the first half of the call will be used to discuss the take-home technical task from the previous stage and the second half will consist of system design and some general architecture/tech questions) Meet the team (in-person chat with founder(s) and rest of the team) Please let us know if there's anything we can do to better accommodate you throughout the interview process - this can be from scheduling interviews around childcare commitments to accessibility requirements. We want you to show your best self in the process, so please speak to your Talent Partner

About us At Urban Jungle, we're making insurance fair - to people, planet and wallets. We're one of the fastest-growing businesses in the UK, working to fix one of the biggest industries in the world. We put customers at the heart of everything we do, using data and technology to make insurance simple, flexible, and affordable. We care about our impact on the planet, becoming a B Corp in 2022 and offsetting our carbon emissions every year. So far, we've helped 300,000 customers get better insurance and become one of the top-rated home insurance providers in the UK. We placed 1st in Tempo's 2024 award for best startup to work for, and are in the top 10 of Deloitte's Fast 50. We've raised over £43m in funding to date to help us with our mission. We're looking for people to join our team of kind, talented people on a mission to change the insurance industry for good. About the role We're on the hunt for Software Engineers to join our 13-strong Full Stack Software Engineering team. You'll hit the ground running, getting stuck into our tech stack from day one and shipping valuable features within your first few weeks. You'll start by flexing your strengths, then we'll quickly get you stuck into new areas to grow your skillset and widen your impact. You'll be at the heart of a team that collaborates closely with Product, Commercial, and Data - all working together to build features that genuinely delight our customers and move the needle. Here's what you'll get up to: You'd start with high-impact, high-visibility features, then scale up to leading cross functional projects like new product launches, integrations with our external partners, and platform wide upgrades. Learn fast and often - you'll level up your skills across a wide range of tools and technologies while working on meaningful, end to end challenges. You'd bring your technical expertise to influence key decisions about how we design, build, and expand our growing portfolio of products and services. Be part of shaping the team's future - your ideas will matter, and you'll have a real voice in how we scale, operate, and grow. You've read this far! Here's what we're looking for from you: Whether you're just starting out in your career or already have some experience under your belt, we're looking for kind, curious problem solvers who want to have an impact on the lives of real people. You've worked with (or learned through academic/personal projects): JavaScript (we use Angular), Python. You're eager to deepen your skillset in Front End/UX design, Linux, Docker, AWS, and SQL. You'll be a champion of our values, and encourage others to be the same. You're excited to take ownership, ship value fast, and continuously improve. You bring a clear, thoughtful communication style - translating technical complexity into plain English. You're a problem solver through and through - big or small, you love a challenge! You question the status quo if it leads to better outcomes for our customers. You manage your time well and prioritise work that aligns with company goals. You're ambitious, hands on, and hungry to grow as fast as the business. You treat everyone with integrity, respect and kindness - whether it's your colleagues, our customers, or our partners. These requirements are a guide as to what we're looking for, but if you don't have all of the skills listed above, that's okay! Please don't let that hold you back from applying if the role excites you. Our tech stack Below you can find a small reflection of our current tech stack: On the frontend, we work with TypeScript, Angular 19, Tailwind CSS, Orval and Zod. On the backend, we use Python, Pydantic, FastAPI and RabbitMQ. And let's not forget Docker, Kubernetes and AWS. About our offer We're taking an office centric approach to work (with lots of flexibility built in) and the team is based in Oval, London. In addition to our positive, open working environment, you can expect the following benefits of working at Urban Jungle: A starting salary of between £40,000 - £41,000 . Share options that can increase alongside performance and growth. 25 days paid annual leave, plus public holidays. Rapid Progression. We'll give you the opportunity to experience loads, and develop rapidly. You'll get tons of responsibility from day one, and all the feedback, coaching and support you need to fuel your career growth. Real Impact. You'll work on big, interesting problems that will challenge you, and do so in a way that has a positive impact on people's lives, the planet and our community. A Clear Plan. We'll give you the clarity on what we want to achieve, with the freedom and autonomy for you to decide how we get there. The Best People. You'll be surrounded by teammates who are exceptional at what they do, whilst being kind, honest people who champion our values. A dedicated development budget, access to a senior mentor, and training on whatever you need to do your job well. Well being support. We're committed to supporting both physical and mental well being through access to therapy, weekly onsite yoga, and subsidised sports clubs. Enhanced parental leave, and support for parents returning to work. All. The. Fun. We regularly organise awesome socials and have some vibrant team communities such as book club and foodies. Depending on relevant experience, this salary range is negotiable. About our commitment Urban Jungle is an equal opportunity employer and fairness and respect are at the heart of who we are and how we work. We do not discriminate based on race, age, ethnicity, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity or disability. We know that in order to build a truly successful business, we need a team of diverse individuals who can offer a variety of skills, experiences and perspectives.

Salary: £35,000 - 55,000 per year Requirements: We are looking for enthusiastic and resourceful Backend Python Engineers at mid to senior levels. Candidates should have demonstrated expertise as a Mid or Senior Software Engineer, proficiency in Python, and hands on experience with RESTful APIs and/or GraphQL. Additionally, you should be skilled in version control tools like Git and possess a sound understanding of development best practices, including pair programming and TDD. We value eagerness to engage with emerging technologies, strong abilities in software design, problem solving, and debugging, as well as a commitment to continuous code improvement and learning from peers. Responsibilities: As a key member of our backend engineering team, you will play a pivotal role in building full stack cloud applications. You will utilize Python and AWS Cloud services on the backend while adopting a server less approach to application design. Collaboration is essential, as you will work within an agile team alongside other backend engineers and product designers. Your responsibilities will include strategizing, developing, testing, and deploying new features and experiments. You will also engage in collaborative coding practices, such as pair programming and code reviews, and contribute to resolving complexities in large scale systems and extensive datasets. This role requires close collaboration with our Product, Data, Front end, Platform, and Security teams. Technologies: AWS Backend Cloud Git GraphQL Support LESS Python Security TDD More: This position initially offers a three month contract, with the potential for extension. The role is hybrid, requiring in office work one day a week in London and requiring a full time commitment of 40 hours per week. Please note that successful applicants must undergo several pre employment checks before their appointment can be confirmed, and any assignment offer will be subject to a satisfactory checking report from the Disclosure Barring Service. We celebrate and support diversity and are committed to ensuring equal opportunities for all employees and applicants. last updated 25 week of 2026

Salary: £40,000 - 70,000 per year Requirements Strong experience with C# development Experience with .NET Framework and .NET Core Experience with WinForms or desktop application development Experience with MS SQL Server Experience with refactoring and modernisation projects Experience working in agile environments Experience with CI/CD practices Testing experience, with TDD as a bonus Exposure to cloud platforms, with AWS preferred Desirable: experience migrating legacy systems Desirable: exposure to React or JavaScript Desirable: experience introducing testing, deployment improvements, or modern engineering practices into existing systems Desirable: AI exposure or Python knowledge Responsibilities Work closely with the CTO, Head of Engineering, and the original software author to understand and evolve a complex application Improve and progressively enhance an established C# .NET WinForms desktop codebase Help transition a large-scale legacy platform from an on-premise desktop environment to a modern .NET Core, cloud-based architecture Contribute to the technical direction of a major systems transformation programme Collaborate with stakeholders, challenge ideas constructively, and support knowledge sharing and planning workshops Participate in a friendly, collaborative engineering team and contribute to ongoing platform improvements Technologies .NET Framework AI AWS C# CI/CD Cloud CTO Support JavaScript Python React SQL TDD ASP.NET Frontend Web More We are a growing, technology led business based in Slough, undergoing a major systems transformation with around 40 projects in the pipeline. We offer a hybrid working model, with an initial expectation of three days a week in the office and the potential to reduce to one to two days later. You will have direct access to leadership and architecture decisions, high technical ownership, and the opportunity to shape the future of a long term transformation programme. Our team is small, collaborative, and sociable, with strong progression opportunities as our technology function grows.

Salary: £95,000 - 95,000 per year Requirements Strong React and TypeScript experience Frontend-strong engineer who can build products from scratch Solid backend exposure, ideally with Python Experience with databases and data platforms such as SQL and Databricks Experience building customer-facing software in a commercial environment Strong product instincts and a practical, hands on approach Comfortable with ownership, pace, and autonomy Nice to have: Energy, trading, or fintech experience Nice to have: Startup or scale up background Nice to have: Data visualisation experience Nice to have: Interest in AI tools and modern engineering practices Responsibilities Building customer-facing products from scratch using React, TypeScript, and modern frontend tooling Owning frontend quality, user experience, and engineering standards Contributing across the stack, including backend integrations, APIs, product logic, and Python-based services Working with SQL, Databricks, and related data systems Turning complex operational and commercial workflows into clear product experiences Collaborating closely with product, engineering, data, and leadership Helping shape technical standards and architecture as the team grows Technologies AI Backend Databricks Frontend Python React SQL TypeScript UX UI Design Fullstack More We are a forward thinking company in the energy market looking to hire a Senior Product Engineer, Full Stack. This role offers a competitive salary between £70,000 and £95,000 and is based in Mayfair, London, with a hybrid setup of 2 to 3 days per week in the office. Joining our growing team means having high ownership from day one, with the chance to build frontend products from scratch and make a visible impact. We value collaboration and aim to create a supportive environment where you can develop your skills and grow with the company.

Salary: £80,000 - 80,000 per year Requirements We require a BSc or BEng in Electronics, Computer Science, Software Engineering, or a similar relevant subject. We require extensive post-graduate experience in software and firmware engineering. We require proven experience in a functional leadership or technical lead role, including project delivery and mentoring engineers. We require demonstrated experience delivering complex, cross-functional embedded software projects. We require strong commercial experience developing bare-metal embedded firmware in C, including direct interaction with MCU peripherals, registers, interrupts, memory, and hardware interfaces. We require hands-on experience developing and debugging low-level embedded drivers and firmware on microcontroller-based platforms. We require proven experience integrating firmware with hardware, diagnosing hardware/software issues, and working with datasheets, schematics, and debugging tools. We require the ability to interpret hardware specifications, datasheets, and system requirements to support firmware development and product integration. We value experience with Python, MATLAB, or LabVIEW. We value knowledge of Digital Signal Processing or image processing. We value familiarity with test-driven development and behaviour-driven development. We value experience with defect tracking and task management tools. Responsibilities We lead end-to-end development of embedded software and capacitive sensing algorithms. We define and drive software architecture and firmware design decisions. We manage project delivery, ensuring timelines, quality, and customer expectations are met. We mentor and support junior and mid-level engineers. We facilitate Agile and SCRUM processes, including sprint planning and retrospectives. We collaborate with cross-functional teams including IC design, hardware, and applications. We identify and manage technical risks, dependencies, and trade-offs. We act as a technical interface with customers, supporting system integration. We develop firmware using Embedded C and Assembler. We perform model-based design using Python, MATLAB, or similar tools. We design, simulate, and optimise touch sensing and signal processing algorithms. We develop and debug low-level drivers for MCU peripherals. We support integration with customer hardware and operating systems. We work within a continuous delivery environment for consumer electronics. Technologies AI Embedded Firmware Hardware Support Matlab Python C++ TDD More We are a fast-growing, innovative organisation based in Whiteley, Fareham, at the forefront of semiconductor technology, embedded systems, and capacitive touch solutions. This is an exciting opportunity to join our collaborative, fast-paced engineering environment and take on a technical leadership role in embedded software engineering. We offer hybrid working with modern office facilities, private healthcare, mental health and wellbeing support programmes, and opportunities to work on cutting-edge embedded and touch technologies. We also provide a culture that encourages innovation, learning, and professional growth, with the chance to help shape products that push the boundaries of touch technology, AI data processing, and connected devices.