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Company overview Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit . Department overview Nomura's Global Markets department provides liquidity, market insights, and execution services to clients worldwide across various asset classes, including equities, fixed income, currencies, and commodities. The team's focus on innovation and technology provides clients with access to cutting edge trading platforms and customized solutions. Nomura's Global Markets team specializes in market making, risk management, and electronic trading, with a strong global presence and reputation for exceptional service to clients. Role Description You are a confident and self motivating quant/strat with a solid understanding of electronic markets. You are client focused and comfortable communicating with stakeholders across the bank. You thrive in a small, self organising team and value user feedback within an agile development process. You manage expectations effectively and have a demonstrable track record of owning delivery of a high profile product to demanding business users. You are familiar with the Fixed Income markets, both cash and derivatives, and understand the value of an intuitive, robust and reliable E Trading systems to a trading desk. Key objectives critical to success We are seeking an innovative and experienced eTrading Strategist to join our dynamic trading team. The ideal candidate will be responsible for developing, implementing, and optimizing electronic trading strategies across various asset classes and markets. Design and develop sophisticated algorithmic trading strategies using quantitative methods and statistical analysis Implement and optimise execution algorithms to improve trading efficiency and reduce market impact Analyse market microstructure and develop models to predict short term price movements Collaborate with quants, developers, and traders to translate trading ideas into production ready code Monitor and evaluate the performance of trading strategies, making real time adjustments as necessary Conduct research on new trading opportunities and market inefficiencies Stay current with regulatory changes and ensure compliance in all trading activities Develop and maintain relationships with electronic trading venues and liquidity providers Contribute to the firm's overall electronic trading infrastructure and technology stack Skills, experience, qualifications and knowledge required Degree in Computer Science, Mathematics, Physics, or a related quantitative field Experience in electronic trading or a similar role in financial markets Strong programming skills in C++, Java, or Python, with experience in low latency environments In depth understanding of market microstructure, order types, and exchange connectivity Proficiency in statistical analysis and machine learning techniques Experience with high frequency trading (HFT) and algorithmic execution strategies Excellent problem solving skills and ability to work under pressure in a fast paced environment Strong analytical and quantitative skills Creativity in developing novel trading strategies Excellent communication skills to explain complex concepts to both technical and non technical audiences Ability to work collaboratively in a team environment Adaptability to rapidly changing market conditions and technologies Strong ethical standards and commitment to market integrity Preferred Experience Experience with multiple asset classes (Rates, equities, futures, options, FX) Knowledge of market making strategies and risk management techniques Familiarity with financial regulations (MiFID II, Reg NMS) Experience with distributed systems and cloud computing platforms KDB or other time series database Nomura is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all our employees. We do not discriminate on the basis of age, disability, gender identity and gender expression, pregnancy and maternity, marriage and civil partnership, race, religion or belief, sex or sexual orientation. If you require any assistance or reasonable adjustments due to a disability or long term health condition, please do not hesitate to contact us.

Graduate Full Stack Developer - Derby based - up to c.£30,000 The Company We are partnered with a UK based AI company that develops an AI Powered Research Platform, designed to accelerate deep, evidence-based research. The company offers a high end research platform aimed at professional and frontier R&D, rather than more mass market users. It is used by the world's leading universities, tech leaders, engineering companies and other Global leading companies. They stand out in the UK AI landscape as one of the most substantially funded early stage businesses, backed by large scale investments & led by experienced technologists. The Opportunity The business is looking to onboard 2 Graduate Full Stack Developers to join their small yet highly capable team. The business has got a track record of retaining and developing staff, placing significant time into growth and development. You will be joining one of the most substantially funded AI start-ups in the UK, and work on developing a powerful AI Research Platform that has revolutionized the ability to obtain research and defensible insights in real time. The Role This opportunity is genuinely aimed at Graduates. Forget about needing years of "proven experience" in a dozen different frameworks. They hire for mentality over a fixed skill set. If you are incredibly bright, love solving complex problems, and have the right attitude, they will give you the runway and support to learn on the job. Tech Stack While you don't need to be an absolute master in all of these yet, this is the stack you'll be getting your hands dirty with: Front-End: React.js, JavaScript, HTML5, CSS3 Back-End & Data: Python, Microsoft .NET, MySQL, SQL Server Cloud Hosting: AWS. While our core AI runs on its own infrastructure, our web presence is powered by Amazon Web Services. You'll get hands on experience deploying and managing our website environments The Extra Stuff: Modern AI integrations, secure data handling, code management, and browser optimization tools. The Ideal Candidate Top tier graduate in Computer Science or similar Full Stack experience (proven by personal projects / university modules etc) Genuine passion for software & tech - Portfolio or Home project examples are a bonus! Natural Tinkerer with Tech Great Attitude & Willingness to learn Location Derby - site based. You will be working in a modern & vibrant office space, working at the sides of industry leading technologists. Salary £27,000 - £30,000 (DOE) Ford & Stanley Talent Services Group Ltd is a Disability Confident employer that is committed to a policy of equal opportunities for all opportunity seekers. We shall adhere to such a policy at all times and will review on an ongoing basis all aspects of recruitment to avoid unlawful or undesirable discrimination. We will treat everyone equally irrespective sex, sexual orientation, gender reassignment, marital or civil partnership status, age, disability, colour, race, nationality, ethnic or national origin, religion or belief or political beliefs and we place an obligation upon all staff to respect and act in accordance with the policy.

Founding Engineer (£60k-£80k + Equity) at ThinkDivergent - Building the Neurodevelopmental OS Company Description ThinkDivergent - Building the AI-powered Neurodevelopmental Operating System (NDOS) Job Description Join ThinkDivergent as our first engineering hire to revolutionize neurodevelopmental care. You will work directly with the CTO to build an AI-native platform that replaces manual NHS processes with intelligent workflows for ADHD and autism assessments. This is a high autonomy role focused on creating production grade healthcare software that impacts real patient lives. Why this role is remarkable Be the first engineering hire at a revenue generating startup already operating live contracts within the NHS and private healthcare sector. Work in a true AI first environment using tools like Cursor and Claude to design agentic workflows rather than manually writing boilerplate code. Directly influence the architecture and culture of a company solving the five year waiting list crisis for neurodivergent patients through scalable infrastructure. What you will do Build core platform features end to end across a stack featuring React, Python Cloud Functions, Firebase, and GCP infrastructure. Take full ownership of system reliability and resilience, ensuring production grade stability for clinicians and patients under stress. Collaborate with the CTO to shape product direction, exploring how AI can streamline referral, triage, and clinical decision making pathways. The ideal candidate Possesses 1-4 years of full stack experience with a natural instinct for building intuitive, beautiful frontend interfaces that improve clinical usability. Is an AI native developer who uses LLM tools as their default workflow but possesses the technical rigour to validate and refine generated outputs. Demonstrates high agency and edge case thinking, instinctively anticipating how systems might fail in complex, regulated healthcare environments.

Radar Healthcare's new Platform Engineer The Platform Engineer will be an active, hands on contributor during a period of business restructure, supporting the implementation and modernisation of the company's cloud infrastructure and platform services. The role focuses on improving reliability, performance, scalability, security and developer experience, enabling engineering teams to deliver software quickly and safely. You will work closely with platform and engineering teams to implement agreed designs, owning platform components across build, operation and continuous improvement, and using automation and modern practices to reduce toil and accelerate delivery. We are primarily Azure based, with a small footprint in AWS. What you'll be doing to make a difference: Build and run internal platform infrastructure Build, operate and maintain resilient, scalable platform foundations across environments, working from agreed designs and standards. Operate cloud infrastructure and automation Support and run services on Azure and AWS, applying least privilege access, audited controls and automation as standard. Improve developer experience Implement deployment workflows, self service capabilities, golden paths and reusable templates that help teams ship safely and efficiently. Infrastructure as Code Implement and maintain infrastructure using Terraform, with modular, DRY patterns, appropriate testing and CI/CD integration. Platform reliability, scalability and security Apply SRE principles in day to day work, supporting capacity planning, reliability improvements and secure by default patterns. Observability and incident response Implement logging, metrics and tracing. Create dashboards and alerts. Participate in on call rotations and contribute to root cause analysis and continuous improvement. Cross team collaboration Work closely with development, security and operations teams to deliver platform capabilities, execute agreed priorities and manage operational risk effectively. Your journey so far Hands on experience operating and supporting workloads on Azure or AWS, including troubleshooting and production support. Solid understanding of microservices based and distributed systems, and how they are deployed using containerised, serverless and VM based models. Experience implementing and operating Terraform in multi zone production environments, using modular, DRY designs, secure state backends, and working with both greenfield and existing (brownfield) infrastructure. Good understanding of container lifecycles, image creation, networking and secure deployment automation. Experience with CI/CD pipelines (GitHub Actions or similar) covering build, test, security scanning, Terraform deployments, and secure artifact and secret management. Comfortable scripting in PowerShell and/or Bash. Experience with observability stacks such as Azure Monitor, ELK, Prometheus or Grafana. Includes alerting best practices and troubleshooting using logs, metrics and traces. Tech Stack- Containerisation, microservices, Terrarform, Azure, AWS, GitHub actions. Even better if you Familiarity with Kubernetes is a plus. Experience with a general purpose language such as Python is beneficial. Familiarity with SLOs, SLIs and SLAs is desirable. Experience with GitOps workflows and tools such as Argo CD or Flux, including environment promotion and drift management. Benefits A competitive salary up to £60,000 per year, dependent on experience. Values led culture. Flexible working - core hours with one day per month in office. 25 days holiday plus bank holidays, with buy up option. Birthdays off and surprise. Charity leave - one day per year on company time. Mental healthcare - counselling support and Employee Assistance Program. Health coverage via Medicash - reimbursement for health appointments. Life cover - pay out of 3 salary for beneficiaries. Compassionate leave up to 5 days if you lose a loved one. Paid sick leave with enhanced pay after 6 months. Enhanced family leave - maternity and adoption pay, paternity leave options. Corporate pension - 3% of salary contribution. Technology - laptop provided, WFH risk assessment, accessories. Dog friendly office. Socials - company events and team gatherings. Discounts on cinema, vouchers, gym memberships, days out. Monthly allowance on flexible benefits platform for optional coverage. Accessibility If you require any special considerations or adjustments to our application and interviewing process, please let us know. Let us know how we can best support you.

Staff Platform Engineer Department: Engineering Employment Type: Full Time Location: London Description Hybrid: 2 days per week in our Tower Bridge office (Tuesday/Wednesday). RVU is a group of online brands that include Confused, Uswitch, Tempcover, money.co.uk, and Mojo Mortgages. We reach the majority of UK households, putting us in a unique position to drive the transformation of the household services sector. We harness cutting edge tech and data to help consumers manage their homes more effectively, and we provide some of the UK's biggest companies with unparalleled insight into what customers need and want. Since our founding in 2018, we've integrated our 5 market leading digital brands into a powerful data platform, supercharging our capabilities to drive lasting change, and by working with providers and policymakers, we're helping transform entire industries - making markets more competitive and more innovative to benefit everyone. We're looking for an experienced Platform/Infrastructure Engineer to join our platform team, known internally as "Airship". Airship manages the infrastructure that powers Uswitch and Money.co.uk brands as well as the RVU wide AI initiative. We are committed to Open Source software in order to build services that help millions of customers to save money and make confident decisions. As well as helping our customers, we also give back to the community by open sourcing interesting projects that we build that might benefit others. Our goal as a team is to enable our development teams to deliver services quickly, reliably and securely. We do this by running multiple Kubernetes EKS and Fargate clusters in AWS, creating common tooling to aid in development tasks, and running shared services such as Opensearch, Envoy, Vault and Prometheus to name a few. The team has also expanded its scope to simplify Data engineering in the organisation using the same techniques we used to ease creating web applications on data pipelines, leveraging Argo Workflows and Argo Events as well as a recent integration with n8n. What you'll be doing Excellence: work alongside established and experienced engineering teams, whilst supporting and growing the organisation's understanding and utilisation of modern technology. Collaboration: work with various cross functional disciplines across the organisation to make ideas a reality, whilst taking an active role in shaping and delivering the ongoing technical vision of the organisation alongside your peers. Autonomy: authority over technical strategy, decisions and implementation approach, so you can deliver using practices that align with your preferred ways of working. Data Driven: utilise rich logs, metrics, and data to monitor and improve system performance, cost, security and reliability. Culture: enhancing a diverse engineering culture by taking part in various technical catch ups, working groups, and "All Hands". Experience: enrich RVU's perspective by sharing your experience, knowledge and expertise in a continuous learning environment. As a key member of the platform engineering team you will be accountable for the following: Objective setting, feature ideation, development and measurement. Architectural decisions and designs of the platform, domains and systems. Defining, evolving, and applying team processes. Responsible for the entire stack to meet business requirements. Building efficient CI/CD pipelines and robust DevOps practices. Utilising a variety of infrastructure to keep systems performant, scalable & reliable. Mentoring and coaching engineers, and presenting knowledge and information back to the wider organisation. As a Staff Platform Engineer at RVU you will be expected to: Proactively identify opportunities for improvement across the organisation. Manage your time effectively between team and organisational level contributions. Rotate around the business to build relationships and act as a multiplier. What we're looking for Extensive experience in running Kubernetes clusters in production. Knowledge of Golang, Helm, and Terraform (some knowledge of Python is definitely a plus). Production experience in Cilium and/or eBPF and networking in general. Extensive experience in monitoring systems and their performance. The ability to debug large and complex systems and solve large problems that affect a wide user base in a simple way. Experience with image vulnerability scanning and patching strategies for large systems. Experience/Familiarity with AWS Multi Accounts system designs, tools like Crossplane and Control Tower. Familiarity with Argo Workflows or similar data pipeline as a service tools. Familiarity working with a variety of Cloud Native projects. Familiarity with Github Action. Familiarity with OpenTelemetry. More about us Our team has been featured at a few conferences and events, including CNCF, PlatformCon, and the London AWS Summit 2023 for our contributions to the EKS tooling community. Examples of some projects we have worked on Short lived database credentials: Our running services previously relied on having long lived credentials to access data. We wanted human and pod identity to be used to grant short lived credentials based on policies. We used Vault to build a solution to this problem, creating tooling such as vault creds/vault webhook to make it as easy as possible for developers to use these credentials with their services. Yggdrasil: Envoy control plane for multi cluster load balancing. Some of our more important applications required resilience to cluster outages, so we created Yggdrasil, a tool to configure Envoy nodes to route our traffic between clusters based on Ingress resources. What we offer We want to give you a great work environment, support your growth both personally and professionally, and provide benefits that make your time at RVU even more enjoyable. Here are some of the benefits you can look forward to: 10% discretionary yearly bonus and yearly pay reviews (based on RVU and personal performance) A hybrid working approach with 2 in office days per week and up to 22 working days per year to "work from anywhere" Employer matching pension contributions up to 7.5% A one off £300 "work from home" budget to help contribute towards a great work environment at home Excellent maternity, paternity, shared parental, and adoption leave policy, for those key moments in your life 25 days holiday (increasing with years of employment to 30 days) + 2 days "my time" per year Private medical cover, critical illness cover, and employee assistance programme A healthy learning and training budget Electric vehicle and cycle to work schemes Free in office gym, accessible 7 days a week Free breakfast in the office daily You'll be equipped with great technology (choice of Mac or Windows) Free access to the Calm and Peppy app for physical and mental health Regular events - from team socials to company wide events with insightful external speakers, we want to make sure our colleagues continue to feel connected.

Front End Engineer - AI & LLM Powered Data Platforms London (Euston Square) The energy transition is the biggest infrastructure buildout in human history. Modo Energy is the data platform at the centre of it. We build the benchmarking, forecasting, and valuation tools that the world's most serious energy investors, developers, and operators depend on to make decisions. If a battery gets financed, built, or traded anywhere in the world, there's a good chance Modo data was in the room. Founded in 2019, we're 75+ people across London, New York, Sydney, and Madrid; $30M Series B, AI-native, and moving fast. This is a rare chance to join a category-defining company at the moment it's scaling globally. The Role We're hiring a Frontend Engineer to lead the architectural evolution of our UI. You'll define the design patterns, component abstractions, and typing contracts that allow the wider engineering team to ship features quickly without compromising the architecture. Our frontend is where massive datasets, predictive models, and AI systems become usable - fast, data-heavy interfaces that let users explore energy markets, interrogate datasets, and interact with complex forecasting models in real time. The stack is TypeScript, React, and Next.js in a modern monorepo architecture built for rapid, AI-assisted development. What You'll Do Lead the technical direction for our frontend monorepo - state management, routing, and module boundaries within Next.js and TypeScript Design and develop our internal UI component library (built on MUI) - reusable, strictly typed abstractions that serve as building blocks for the engineering team and AI agents Build and improve high-performance, low-latency interfaces - profiling performance, minimising re-renders, and keeping the platform responsive under heavy data loads Set the architectural patterns and coding standards that govern development, including oversight of high-volume AI-assisted contributions Act as the primary technical authority for frontend - guiding the team on UI best practices and effective use of AI coding tools What We're Looking For The Essentials 3+ years of professional frontend development experience Hands-on experience with Next.js Experience with Material UI (MUI) or a comparable component library Strong eye for UI/UX - you can bridge the gap between design and engineering and build polished, production-quality interfaces Solid understanding of testing principles with frameworks such as Jest, Cypress, or Playwright Proficient with Git, Docker, and CI/CD workflows Familiarity with monorepo structures and tools (Turborepo, Yarn Workspaces, or similar) Nice To Have Familiarity with Python and/or energy forecasting models Experience in energy markets or data-heavy analytical products Startup or scale-up background Equal Opportunity & Legal Modo Energy is an equal opportunity employer. Employment decisions are made on the basis of qualifications, merit, and business need. We do not discriminate on the basis of age, national origin, physical or mental disability, race, religion, pregnancy, sexual orientation, gender identity, veteran status, or any other characteristic protected under applicable UK law, including the Equality Act 2010. If you require assistance or a reasonable accommodation during the application or interview process, please contact us at . What You Can Expect From Us At Modo Energy, we believe that exceptional work deserves exceptional reward. We're a high-performance team; ambitious, collaborative, and genuinely motivated by the scale of what we're trying to build. You'll have real ownership from day one, work alongside some of the brightest people in the industry, and be part of a company that's defining a new category in the global energy market. We're hybrid: everyone works Tuesday to Thursday in office, with Monday and Friday flexible. We offer top of market compensation, equity for every employee, and the space to take your career wherever you want it to go. We're looking for people who want to do the best work of their careers. If that's you, we want to talk.

Role: Senior Site Reliability Engineer (SRE) - Kubernetes / OpenShift Location: Remote - UK (possible paid occasional travel to TIG Secure site locations as required) Job Type: Full-time, Permanent (37.5 hours) Salary: Competitive + benefits + package Security Clearance Requirements Please note that holding a current Security Clearance is not essential at the time of application, but eligibility is required. This role requires the successful candidate to be eligible for Security Check (SC) clearance. To meet this requirement, applicants must: Have the right to work in the UK Have lived in the UK continuously for the past 5 years Not have spent more than 6 months outside the UK in total during that period Be willing to undergo security vetting as part of the onboarding process About You You're an experienced SRE, Platform Engineer or Cloud Engineer with strong hands on experience running Kubernetes in production environments. You're comfortable working across Linux, Kubernetes, cloud native tooling, automation, observability, CI/CD and infrastructure as code. You understand that reliability, security and operational maturity are critical to how modern platforms support engineering teams and customer facing services. You enjoy treating infrastructure as a product, automating repeatable work, improving resilience, and building platforms that other engineers can rely on. You're calm under pressure, methodical during incidents, and able to turn operational challenges into long term improvements. You may have worked in a regulated, secure, government, defence, financial services, telecoms, managed services or cloud native environment, but most importantly you have operated Kubernetes at depth and understand the realities of production ownership. You're a senior individual contributor who can mentor others, influence engineering practice, and provide technical authority without needing formal line management responsibility. About the Role We're looking for a Senior Site Reliability Engineer (SRE) to help operate, harden and mature our production OKD / Kubernetes platforms. This is a hands on engineering role focused on reliability, automation, observability, GitOps, CI/CD and secure platform operations. You'll work across the full stack, from bare metal and virtualisation through to Kubernetes control plane operations, ingress, identity, monitoring, developer platform tooling and application delivery. The role will play a key part in improving the operational maturity of our platform estate, supporting the migration from VMware to KVM, strengthening GitOps and CI/CD practices, and helping ensure our platforms remain secure, scalable and aligned to the needs of regulated customer environments. You'll work closely with platform, application, AI, networking, security, QA and architecture teams to build reliable foundations that enable other engineering teams to deliver safely and at pace. This is not a ticket handling role. It is a senior engineering position where you'll be expected to own problems, drive improvements, and help shape how TIG operates critical cloud native infrastructure. About the Team You'll be joining our Cloud team, working closely with Platform Engineering and wider engineering teams responsible for the foundational platforms on which TIG's services run. This is a great opportunity to join a small, senior technical environment where you can have direct ownership, meaningful influence, and visibility across modern platform engineering, Kubernetes, automation, observability, security and cloud native delivery. Key Responsibilities Operate, harden and extend production OpenShift / OKD / Kubernetes clusters across on premises and hybrid environments. Support the migration from VMware to KVM, helping modernise the underlying compute and storage layer. Own and improve CI/CD processes across the full lifecycle of platform and application components. Work with platform and application engineers to support cloud native delivery using tools such as Helm and Kustomize. Develop and mature GitOps deployment practices using tools such as Argo CD or Flux. Maintain and improve core platform services including identity, ingress, observability, certificate management, service mesh and container registry capabilities. Build and operate observability across logs, metrics, traces, alerting, SLOs and error budgets. Improve platform hardening in line with secure and regulated environment requirements, including network policy, SELinux, image provenance, secret management and audit. Automate repeatable operational tasks using tools such as Ansible, Terraform, Helm, Kustomize, Go, Python or equivalent technologies. Lead incident response activity, support blameless post mortems and drive systemic fixes. Partner with networking and security teams on platform integration, segmentation, load balancing and accreditation evidence. Create and maintain clear technical documentation, runbooks, design notes and operational guidance. Mentor other engineers and act as a senior technical authority across cloud and Kubernetes operations. Participate in an on call rota, with appropriate compensation. Success in This Role Looks Like A more reliable, secure and measurable production Kubernetes estate. Improved platform observability, with meaningful alerting, SLOs and trend data that engineering teams actively use. Progress against the VMware to KVM migration, with a clear and automated path for the underlying infrastructure layer. A mature GitOps approach covering platform and application components, including rollback, drift detection and operational control. Improved CI/CD practices that help teams move at pace while considering security, QA and compliance earlier in the lifecycle. Well documented, supportable and scalable platform services. Stronger incident response, clearer runbooks and post mortems that lead to real operational improvements. Recognition as a technical authority for Kubernetes, cloud and platform operations across the organisation. What We're Looking For We're looking for a Senior Site Reliability Engineer (SRE) with strong experience operating production Kubernetes environments. This role is well suited to someone who combines deep technical capability with strong operational discipline. You'll be comfortable taking ownership of complex platform challenges, improving reliability, and working collaboratively across engineering, security, networking and architecture teams. Essential Experience & Skills Strong experience running production Kubernetes environments, not just consuming or deploying into them. Strong Linux fundamentals, including systemd, networking, storage and performance troubleshooting. Experience with at least one Kubernetes distribution such as OKD, OpenShift, vanilla Kubernetes, Rancher, EKS, AKS or GKE. Solid infrastructure as code experience, including Ansible plus Terraform or equivalent, alongside tools such as Helm and Kustomize. GitOps and CI/CD experience managing full application and component lifecycles, using tools such as Argo CD, Flux, GitHub Actions or similar. Prometheus, Grafana, Elastic Stack / LGTM, OpenTelemetry or similar. Experience working with identity and access technologies such as OIDC, SAML, SCIM or Keycloak. Experience with virtualisation or infrastructure platforms such as KVM, libvirt or VMware. Scripting or tooling experience using Go, Python, shell scripting or similar. Strong troubleshooting, problem solving and analytical skills. Experience working in secure, regulated or enterprise scale environments. Strong communication skills, with the ability to produce clear documentation, runbooks, post mortems and technical guidance. Eligible to hold UK SC clearance. Desirable (Not Essential) Specific OpenShift or OKD experience, including operators, MachineConfig or SCCs. Service mesh experience such as Istio or Linkerd. Policy engine experience such as OPA, Gatekeeper or Kyverno. Cloud native application deployment experience using Helm, Terraform, Kustomize or similar. Storage experience such as Ceph, Longhorn, OpenShift Data Foundation or equivalent. Networking experience including BGP, VXLAN, Palo Alto or Juniper technologies. Software supply chain security experience, including SBOMs, image signing, admission control or tools such as Sigstore. Experience operating AI, ML or GPU enabled platforms. CKA, CKAD, CKS, Red Hat certifications or equivalent. Active or recent UK SC clearance. Recognised open source contributions to the Kubernetes ecosystem. Soft Skills & Behaviours Calm, structured and methodical under pressure. Strong written and verbal communication skills. Collaborative working style across platform, development, QA, security, networking and architecture teams. Strong sense of ownership and accountability. Automation first mindset, with a focus on removing repeatable manual work. Able to influence technical practice through evidence, example and credibility. Pragmatic and solutions focused approach to problem solving. Curious about why systems fail, not just how to bring them back online. . click apply for full job details

About IDBS IDBS helps BioPharma organisations unlock the potential of AI/ML to improve the lives of patients. As a trusted long term partner to 80% of the top 20 global BioPharma companies, IDBS delivers powerful cloud software and services specifically designed to meet the evolving needs of the BioPharma sector. IDBS, a Danaher company, leverages 35 years of scientific informatics expertise to help organisations design, execute and orchestrate processes, manage, contextualize and structure data and gain valuable insights throughout the product lifecycle, from R&D through manufacturing. Known for its signature IDBS E WorkBook software, IDBS has extended its flexible, scalable solutions to the IDBS Polar and PIMS cloud platforms to help scientists make smarter decisions with assured confidence in both GxP and non GxP environments. We're looking for a Senior DevOps Engineer to help shape and scale the core infrastructure that powers our products. In this role, you'll partner closely with cross functional teams, build and improve CI/CD pipelines, and drive the DevOps practices that enable fast, reliable software delivery. This is a hands on engineering role where you'll influence standards, mentor others, and help create the tools, automation, and environments that empower teams across the organisation. Responsibilities Building and improving CI/CD pipelines and automation to enable fast, reliable, and repeatable delivery of software into production. Driving DevOps culture and best practices, including IaC, shift left testing, and self service tooling for engineering teams. Supporting and mentoring teams, providing documentation and guidance to help them get the best out of our platform and tooling. Managing and maintaining platform environments, ensuring performance, availability, compliance with our Quality Management System, and participating in the on call rotation when needed. Success at this role You bring 5-8 years of experience in building and operating AWS (VPC, IAM, EC2/EKS, RDS/Aurora, S3, CloudWatch), delivering secure, scalable, highly available systems and guiding teams on cloud best practices. You deliver production grade IaC with Terraform (modules, workspaces, policy checks), creating consistent, repeatable multi environment setups and reducing manual effort. You have solid experience with Docker and Kubernetes, applying containerisation and orchestration concepts to design scalable, reliable deployment patterns and support modern cloud native infrastructure. You have built and maintained robust pipelines with Git and Jenkins (or GitHub Actions/GitLab CI), enabling fast, safe releases. Writing clean automation in Bash, Python, or Java that removes toil, streamlines workflows, and boosts developer productivity. You have 5+ years of Linux administration (Ubuntu/Amazon Linux/RHEL), improving performance and reliability through tuning and automation. Additional qualifications (optional) Exposure to AWS Cost Optimisation & FinOps practices - e.g., analysing cloud spend, rightsizing workloads, using Savings Plans/Reserved Instances, and improving cost efficiency across environments. Knowledge of relational and NoSQL databases such as Oracle, MySQL, MongoDB, and PostgreSQL, enabling better support for platform services and application teams. Exposure to observability and monitoring stacks (e.g., Prometheus, Grafana, ELK/Opensearch, Splunk), helping drive better reliability and insights into system performance. Relevant AWS certifications like DevOps Engineer - Professional, demonstrating deep expertise in CI/CD, automation, reliability, and cloud operations. Benefits At IDBS, we believe in designing a better, more sustainable workforce. We recognise the benefits of flexible working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a flexible work arrangement in which you can work part time at the company location identified above and part time remotely from your home.

The Opportunity Lumai is redefining how the world computes. We are an ambitious, venture-backed UK startup pioneering a breakthrough AI accelerator for data centers which uses 3D optical compute. Our radical technology uses light to perform computation at orders of magnitude faster speeds and at far greater scales than ever before, all whilst consuming far less energy than traditional approaches. Lumai is unlocking performance and efficiency gains that could transform the economics of AI and compute infrastructure and reshape how intelligence scales globally. If you are passionate about bringing groundbreaking technology to market, and want to be part of a team pushing the boundaries of what is physically possible, Lumai is where you can make it happen. About Lumai Founded in 2022, Lumai is a University of Oxford spinout using optical processing to accelerate large language models (LLMs) and other transformer-based AI systems. The team combines expertise in optical computing, machine learning, and physics. Lumai has already secured over $15 million in investment from leading deep-tech investors like Constructor Capital, IP Group, PhotonVentures and government grants, and is scaling rapidly to deploy the fastest optical compute currently available globally. The Role We are building custom AI hardware and the full-stack software ecosystem to run it. As our first dedicated MLOps Engineer, you will own the infrastructure that takes models from research to silicon-validated production - designing, building, and operating the pipelines, tooling, and platforms that let our AI and hardware teams move fast without breaking things. This is a high-impact, high-ownership role at the intersection of ML research, compiler stacks, and novel hardware What You'll Do Design and operate end-to-end ML pipelines: data ingest, training, evaluation, quantisation, and deployment onto custom AI accelerator hardware Build and maintain experiment tracking, model registry, and versioning infrastructure (e.g. MLflow, W&B, or equivalent) tuned to our hardware-in-the-loop workflows Own CI/CD for ML: automated testing of model correctness, numerical accuracy, and on-chip performance after every change to models, compilers, or firmware Develop and maintain tooling for benchmarking model inference on custom silicon, including latency, throughput, power, and utilisation metrics Collaborate closely with ML researchers, compiler engineers, and hardware architects to identify and remove bottlenecks across the model-to-chip workflow Instrument and monitor production inference deployments; design alerting and rollback strategies appropriate to hardware-accelerated serving Manage compute resource scheduling across on-premises accelerator clusters and cloud (GPU/CPU) for training and simulation workloads Drive infrastructure-as-code practices: containerisation, orchestration (Kubernetes/Slurm), and reproducible environment management Contribute to the internal developer platform: self-service tooling, documentation, and runbooks that raise engineering productivity across the company What We're Looking For Must-Have 5+ years of software or infrastructure engineering experience, with at least 2 years in an ML or AI-adjacent role Strong Python skills and familiarity with major ML frameworks (PyTorch or JAX); comfortable reading and modifying model code Hands-on experience building and operating ML pipelines in production: data pipelines, training orchestration, evaluation, and serving Experience with experiment tracking and model lifecycle management tools (MLflow, W&B, DVC, or similar) Solid understanding of containerisation (Docker) and orchestration (Kubernetes or Slurm) for distributed compute workloads Infrastructure-as-code mindset: Terraform, Ansible, or equivalent; CI/CD pipelines (GitHub Actions, Jenkins, or similar) Experience with hardware-accelerated compute (CUDA/GPU workflows, profiling, performance tuning) - even if not on custom silicon Strong debugging and observability skills: distributed tracing, logging, metrics dashboards Ability to work effectively in a fast-moving, ambiguous environment where the hardware and software are both being built simultaneously Strong Preference For Experience with custom or novel accelerator hardware (FPGAs, ASICs, NPUs, or research chips) Familiarity with ML compiler stacks: MLIR, LLVM, TVM, XLA, or vendor-specific compilers (NVCC, TensorRT, etc.) Experience with model optimisation techniques: quantisation (INT8/INT4/FP8), pruning, distillation, or mixed-precision training Background in on-chip performance profiling and roofline analysis Exposure to chip bring-up workflows: running early software stacks on pre-silicon simulation or first-silicon hardware Contributions to open-source ML infrastructure or compiler tooling Experience in a deeptech, semiconductor, or hardware startup environment Compensation & Benefits Highly Competitive Salary: We are not saying our salary is a blank check, but let's just say it won't be a source of your stress Share Option Scheme: We are all in this together! We believe in shared success while we build the Lumai of tomorrow Pension Scheme: Plan for retirement with AVIVA Private Health Insurance: We firmly believe that you come first, and a happy you is a healthy you! Look after yourself and your loved ones with AXA Cycle to Work: Spread the cost of a bike, a bike and accessories or just accessories and save on tax L&D Allowance: Stay at the forefront of your field with a £500 annual development budget Subsidised On-site Lunches: Enjoy on-site healthy meals at half the price, as Lumai covers 50% of the cost Holidays: Enjoy some deserved "me time" with 25 days paid holiday (plus bank holidays) per year Socials: Be part of an inclusive community enjoying occasional all-company off-sites, lunches and socials Interview Process Our process is four stages. An initial conversation with our HR team to understand what you want from the role and what we want from it. Two technical sessions with various members of our engineering team. Finally, an HR-team session covering scope, terms, and any final questions. We aim to move fast on candidates we are excited about; expect roughly three to four weeks end to end. Lumai is an equal opportunity employer. We make hiring decisions on merit, scope-fit, and the strength of the working relationship we expect to build with each hire. Applications welcome from candidates of any background. If you are not sure whether you are a fit, send a note anyway.

Lead Full Stack DeveloperLondon, United KingdomApply NowFind out how well you match with this jobRequisition ID281716Date posted05/08/2026 Who we are VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation. As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability. We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal. About this Role Location: Paddington or Newbury We are seeking a Platform Lead Developer to play a key role in designing, building and maintaining cloud native services that power Vodafone's next generation Digital & IT Platform. This role sits within cross functional, product centric engineering squads and focuses on delivering secure, scalable and high quality digital capabilities across multiple markets and tenants. The role offers the opportunity to work at the heart of a complex digital platform, shaping APIs, integrations and user facing components that directly enable new propositions and end to end customer journeys. What you will do Design, build and maintain cloud native backend and frontend components, including APIs, microservices, integrations and digital interfaces. Deliver end to end digital capabilities with a strong focus on performance, stability, security and maintainability. Collaborate closely with Product Owners, Delivery Leads, Technical Leads and Architects to refine requirements and translate them into robust technical solutions. Apply modern engineering practices such as AI-SDLC, event driven design, microservices architecture, containerisation and infrastructure as code. Support CI/CD pipelines, automated testing, observability and operational readiness to enable reliable and frequent deployments. Participate in code reviews, technical design sessions, estimation activities and agile ceremonies. Troubleshoot and resolve complex engineering issues, contributing to continuous improvement of services and development practices. Provide guidance to junior developers or partner engineering teams when required, fostering a collaborative and high performance engineering culture. Who you are An experienced software engineer / full stack developer withover 7 years of hands on experience, bringing strong expertise in cloud native application development. Comfortable working across modern programming languages such as Java (highly preferred), Node.js and React, with exposure to Python considered beneficial. Knowledgeable in microservices, API design, event streaming technologies (for example Kafka), serverless patterns and container platforms such as Docker and Kubernetes.Familiar with public cloud platforms such as AWS, Azure or GCP. Experienced in agile delivery environments, using CI/CD, automated testing, trunk based development and continuous improvement practices. Able to communicate technical concepts clearly and collaborate effectively with cross functional stakeholders. Proactive in identifying risks, simplification opportunities and quality improvements. Holds a degree in Computer Science, Engineering or equivalent practical experience, with significant industry experience in software development. Not a Perfect Fit? Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best. What's in it for you The opportunity to work on a large scale, multi market Digital & IT platform at the core of Vodafone's digital strategy. Exposure to modern cloud native technologies and engineering practices in a highly collaborative environment. The ability to influence technical quality, delivery practices and platform evolution within your squad and value stream. A supportive culture that values learning, collaboration and continuous improvement. What skills you'll learn Deepened expertise in building and operating multi tenant, cloud native platforms at scale. Advanced experience with event driven architectures, observability and operational readiness. Enhanced collaboration skills within product centric, cross functional agile teams. Broader understanding of digital platforms and digital customer journeys in a global telecoms environment. VOIS Equal Opportunity Employer Commitment Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background. Alert Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud."

Who we areVOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation.As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability.We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal. this RoleLocation: Paddington or NewburyWe are seeking a Platform Lead Developer to play a key role in designing, building and maintaining cloud native services that power Vodafone's next generation Digital & IT Platform.This role sits within cross functional, product centric engineering squads and focuses on delivering secure, scalable and high quality digital capabilities across multiple markets and tenants. The role offers the opportunity to work at the heart of a complex digital platform, shaping APIs, integrations and user facing components that directly enable new propositions and end to end customer journeys.What you will doDesign, build and maintain cloud native backend and frontend components, including APIs, microservices, integrations and digital interfaces.Deliver end to end digital capabilities with a strong focus on performance, stability, security and maintainability.Collaborate closely with Product Owners, Delivery Leads, Technical Leads and Architects to refine requirements and translate them into robust technical solutions.Apply modern engineering practices such as AI-SDLC, event driven design, microservices architecture, containerisation and infrastructure as code.Support CI/CD pipelines, automated testing, observability and operational readiness to enable reliable and frequent deployments.Participate in code reviews, technical design sessions, estimation activities and agile ceremonies.Troubleshoot and resolve complex engineering issues, contributing to continuous improvement of services and development practices.Provide guidance to junior developers or partner engineering teams when required, fostering a collaborative and high performance engineering culture.Who you areAn experienced software engineer / full stack developer with over 10 years of hands on experience, bringing strong expertise in cloud native application development.Comfortable working across modern programming languages such as Java(highly preferred), Node.js and React, with exposure to Python considered beneficial.Knowledgeable in microservices, API design, event streaming technologies (for example Kafka), serverless patterns and container platforms such as Docker and Kubernetes.Familiar with public cloud platforms such as AWS, Azure or GCP.Experienced in agile delivery environments, using CI/CD, automated testing, trunk based development and continuous improvement practices.Able to communicate technical concepts clearly and collaborate effectively with cross functional stakeholders.Proactive in identifying risks, simplification opportunities and quality improvements.Holds a degree in Computer Science, Engineering or equivalent practical experience, with significant industry experience in software development.Not a Perfect Fit?Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.What's in it for youThe opportunity to work on a large scale, multi market Digital & IT platform at the core of Vodafone's digital strategy.Exposure to modern cloud native technologies and engineering practices in a highly collaborative environment.The ability to influence technical quality, delivery practices and platform evolution within your squad and value stream.A supportive culture that values learning, collaboration and continuous improvement.What skills you'll learnDeepened expertise in building and operating multi tenant, cloud native platforms at scale.Advanced experience with event driven architectures, observability and operational readiness.Enhanced collaboration skills within product centric, cross functional agile teams.Broader understanding of digital platforms and digital customer journeys in a global telecoms environment.VOIS Equal Opportunity Employer CommitmentVodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.AlertApply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud." us on social media and can also chat with our employees to learn more about our projects:

Who we areVOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation.As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability.We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal. this RoleLocation: Paddington or NewburyWe are seeking a Platform Lead Developer to play a key role in designing, building and maintaining cloud native services that power Vodafone's next generation Digital & IT Platform.This role sits within cross functional, product centric engineering squads and focuses on delivering secure, scalable and high quality digital capabilities across multiple markets and tenants. The role offers the opportunity to work at the heart of a complex digital platform, shaping APIs, integrations and user facing components that directly enable new propositions and end to end customer journeys.What you will doDesign, build and maintain cloud native backend and frontend components, including APIs, microservices, integrations and digital interfaces.Deliver end to end digital capabilities with a strong focus on performance, stability, security and maintainability.Collaborate closely with Product Owners, Delivery Leads, Technical Leads and Architects to refine requirements and translate them into robust technical solutions.Apply modern engineering practices such as AI-SDLC, event driven design, microservices architecture, containerisation and infrastructure as code.Support CI/CD pipelines, automated testing, observability and operational readiness to enable reliable and frequent deployments.Participate in code reviews, technical design sessions, estimation activities and agile ceremonies.Troubleshoot and resolve complex engineering issues, contributing to continuous improvement of services and development practices.Provide guidance to junior developers or partner engineering teams when required, fostering a collaborative and high performance engineering culture.Who you areAn experienced software engineer / full stack developer with over 10 years of hands on experience, bringing strong expertise in cloud native application development.Comfortable working across modern programming languages such as Java(highly preferred), Node.js and React, with exposure to Python considered beneficial.Knowledgeable in microservices, API design, event streaming technologies (for example Kafka), serverless patterns and container platforms such as Docker and Kubernetes.Familiar with public cloud platforms such as AWS, Azure or GCP.Experienced in agile delivery environments, using CI/CD, automated testing, trunk based development and continuous improvement practices.Able to communicate technical concepts clearly and collaborate effectively with cross functional stakeholders.Proactive in identifying risks, simplification opportunities and quality improvements.Holds a degree in Computer Science, Engineering or equivalent practical experience, with significant industry experience in software development.Not a Perfect Fit?Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.What's in it for youThe opportunity to work on a large scale, multi market Digital & IT platform at the core of Vodafone's digital strategy.Exposure to modern cloud native technologies and engineering practices in a highly collaborative environment.The ability to influence technical quality, delivery practices and platform evolution within your squad and value stream.A supportive culture that values learning, collaboration and continuous improvement.What skills you'll learnDeepened expertise in building and operating multi tenant, cloud native platforms at scale.Advanced experience with event driven architectures, observability and operational readiness.Enhanced collaboration skills within product centric, cross functional agile teams.Broader understanding of digital platforms and digital customer journeys in a global telecoms environment.VOIS Equal Opportunity Employer CommitmentVodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.AlertApply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud." us on social media and can also chat with our employees to learn more about our projects:

Overview Spacecraft Software Engineer (GNSS) to join our team working at the intersection of satellite payloads, scientific computing, and data delivery systems. You will develop and maintain both the flight and ground software that powers satellite-based GNSS missions, working across system layers-from embedded software to cloud data pipelines-to help ensure the accurate and timely delivery of mission-critical scientific data to our customers. This is a high-impact role where autonomy, creativity, and technical breadth are key. What You'll Do Develop and maintain scientific and command & control software for GNSS-based satellite payloads using a variety of software stacks. Build and operate ground-based automation systems for efficient data extraction, transformation, and delivery from the satellite to end users. Collaborate closely with flight operations to troubleshoot and ensure consistent, high-quality data delivery. Engage with other system engineers, payload developers, and mission operators to continuously evolve the software in support of scientific objectives. Participate in code reviews, testing, and documentation to uphold software reliability and traceability. Who You Are (Required Qualifications) We're looking for someone with at least 5 of the following qualifications: Proficient in at least one of C++ or Python, and capable of picking up new tools and languages as needed. Experience in FPGA development (VHDL or HLS) for signal processing or control systems. Solid background in DSP techniques and theory, especially in the context of RF or GNSS. Familiarity with GNSS signal processing and/or scientific applications such as GNSS-RO, GNSS-R, or PNT algorithms. Skilled in cloud-based systems (e.g., AWS), backend development, and managing data via scalable storage/database solutions. A lifelong learner-curious, adaptable, and open to new challenges outside your immediate expertise. Demonstrates strong work ethics and a focus on impactful contributions to the mission and team. Capable of independently navigating technical challenges and making forward progress without constant direction. Preferred Skills Prior experience working on satellite payloads or in the aerospace domain. Experience building telemetry and data visualization tools. Contribution to open-source scientific or aerospace-related software projects. Work Model and Compliance Spire operates a hybrid work model, and this position requires a minimum of three days per week in the office. Access to US export-controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses. Benefits Name Your Satellite Program (NYSP) Launch Attendance Generous Time Off Policy Education Assistance Program Employee Assistance Program (EAP) Employee Stock Purchase Program (ESPP) Family Leave Fitness Reimbursement Employee Referral Program Healthy snacks & beverages in every office About Spire Spire Global is a space-to-cloud analytics company that owns and operates the largest multi-purpose constellation of satellites. Its data and algorithms provide advanced maritime, aviation, and weather tracking. The company also maintains a global ground station network and 24/7 operations that provide real-time global coverage. Spire is global and embraces diverse viewpoints, skills, and experiences. We are an equal opportunity employer and are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or veteran status. To help maintain a safe and secure workplace, all candidates who receive a conditional offer will complete a background check, which may include criminal history and employment verification. Applying from California? Please review the CCPA Applicant Privacy Policy. Applying from the EU? Please review Spire's Privacy Policy.

SpAItial is pioneering the next generation World Models, pushing the boundaries of generative AI, computer vision, and simulation. We are moving beyond 2D pixels to build models that natively understand the physics and geometry of our world. Our mission is to redefine how industries, from robotics and AR/VR to gaming and cinema, generate and interact with physically grounded 3D environments. We're looking for bold, innovative individuals driven by a passion for tackling hard problems in generative 3D AI. You should thrive in an environment where creativity meets technical challenge, take pride in craft, and collaborate closely with a small team building frontier systems. We are seeking a Machine Learning Systems & Infrastructure Engineer to build and own the systems that turn raw real world data into trained world models and reliable production endpoints. You will design, implement, and operate scalable training stacks, data ingestion pipelines, experiment orchestration, and model serving for large diffusion based generative models. The role is hands on and code heavy - you will work inside the same monorepo as the research team, mostly in Python, and should be as comfortable refactoring a trainer class or a dataset loader as you are writing Terraform. Responsibilities Own and evolve the ML systems that enable training, evaluation, and serving of large foundation models - trainer, dataset loaders, checkpointing, and experiment orchestration code. Distributed training enablement: Improve high throughput training stacks (e.g., PyTorch DDP/FSDP, NCCL) for performance, stability, and reproducibility, including preemption safe and sharded checkpointing. Data systems and pipelines: Build end to end Python pipelines that turn third party capture sources into clean, versioned training datasets - including scraping (e.g., Playwright) and preprocessing - and optimize the underlying storage at petabyte scale (object storage, fuse mounts, caching layers, shared filesystems, and relational / analytical / embedded metadata stores). ML workflow orchestration and serving: Operate the systems researchers use to launch experiments, data jobs, and production endpoints - workflow engines (e.g., Kubeflow Pipelines, Airflow), GPU schedulers (e.g., Volcano, Slurm), experiment trackers (e.g., MLflow, Weights & Biases), and managed inference platforms (e.g., Modal, Triton) - and maintain a launcher SDK for one command runs. Containerization and packaging: Ship workloads with Docker and Kubernetes; maintain IaC (Terraform) for the surfaces you own and CI/CD pipelines, including self hosted GPU runners. Observability and reliability: Monitoring, logging, and alerting for job performance, data pipeline health, and cost (e.g., Prometheus/Grafana, OpenTelemetry); define SLOs and incident response for the systems you own. Security and access: Manage secrets, IAM, and network boundaries (e.g., Tailscale, cloud VPC) for the systems you own. Collaboration: Partner with ML researchers, engineers, and the platform team to unblock training and data work and improve developer experience. Key Qualifications 3+ years writing production quality Python in a large, multi author codebase, with strong SWE fundamentals (ML systems experience strongly preferred). Hands on with modern ML training stacks (PyTorch; DDP/FSDP or comparable); have personally debugged distributed jobs across many GPUs and nodes. Have shipped non trivial end to end data pipelines at scale - ingestion, transformation, validation, versioning, republish - ideally including real world sources with rate limits, auth, or undocumented APIs. Hands on GPU compute and performance debugging (CUDA/NCCL, GPU utilization, networking bottlenecks, profiling). Working knowledge of cloud environments (AWS, GCP, or Azure), including object storage, IAM, and cost awareness. Proficient with containers (Docker, Kubernetes) and comfortable reading and writing IaC (Terraform) for the surfaces you ship. Strong working knowledge of how to store and query large datasets at scale: SQL fundamentals; relational (e.g., Postgres), analytical (e.g., BigQuery, Snowflake), and embedded (e.g., SQLite) stores; and object storage with caching layers. Familiarity with ML workflow orchestration and experiment tracking (e.g., Kubeflow Pipelines, MLflow). Experience with monitoring and observability tooling (e.g., Prometheus/Grafana, OpenTelemetry) and CI/CD for infra and ML workflows (e.g., GitHub Actions). At SpAItial, we are committed to creating a diverse and inclusive workplace. We welcome applications from people of all backgrounds, experiences, and perspectives. We are an equal opportunity employer and ensure all candidates are treated fairly throughout the recruitment process.

Senior Software Developer Location: Oxford, UK Reports to: Head of Advanced Technology Employment type: Full-time, permanent Salary: Competitive, dependent on experience Role Overview Smedley Group is building world leading technology platforms that sit at the intersection of motorsport, data, and high performance engineering. Our work spans real time data acquisition, analytics, simulation, and operational tooling - powering projects across the group, including FAT Karting League (FKL), and future technology led ventures. We are now seeking a Senior Software Developer to play a pivotal role in delivering these platforms. This is a senior, hands on engineering position for someone who can translate high level technical vision into robust, scalable, production ready software. Working very closely with the Head of Advanced Technology, you will help shape system architecture, define best practice, and deliver full stack solutions from initial design through to deployment and operation. While this is not a heavy people management role, you will provide light technical leadership - mentoring developers, setting standards, and leading by example through high quality delivery. This role sits at the heart of our technology ambition. We move quickly, solve real problems, and build software that performs under pressure. If you are motivated by complex systems, real time data, and the opportunity to see your work used in demanding, high performance environments, this role offers both challenge and impact. Key Responsibilities Technical Leadership & Architecture Work closely with the Head of Advanced Technology to define system architecture, technical standards, and long term engineering strategy across the Smedley Group platform suite. Translate high level platform vision into clear technical designs and implementation plans. Drive system architecture ensuring scalability, security, and performance across all systems. Software Development & Delivery Lead the end to end development of new features and applications across both front end and back end systems. Design and implement scalable, secure, and high performance software solutions supporting time data, analytics, and motorsport workflows. Introduce and uphold robust development processes and modern best practice across the codebase. Ensure high standards of testing, documentation, version control, and CI/CD throughout the development lifecycle. Collaboration & Product Delivery Work closely with product managers and UX/UI designers to refine requirements and deliver intuitive, high quality user experiences. Participate in sprint planning, estimation, and cross team coordination to ensure predictable and high quality delivery. Act as a technical bridge between architecture, product, and implementation. Mentoring & Capability Building Provide day to day technical guidance and mentoring to junior and experienced software developers. Lead code reviews, sharing knowledge and raising engineering standards across the team. Support the development of technical capability, tools, and working practices within the wider technology function. Contribute to continuous improvement initiatives across processes, tooling, and architecture. Essential Requirements Bachelor's degree in Computer Science, Software Engineering, related fields such as Mathematics and Physics 5+ years of professional software development experience, including significant hands on experience across architecture, front end, and back end systems. Strong proficiency in Python, C++, React, TypeScript, Node.js and C#. Strong understanding of software architecture, design patterns, and scalable system design. Experience designing and maintaining RESTful APIs. Strong understanding of database structures, particularly MongoDB. Experience with cloud platforms, primarily AWS. Experience with containerisation and orchestration technologies (Docker, Kubernetes, etc). Proven ability technical leadership. Experience working with data intensive or real time systems (e.telemetry, analytics, dashboards). Strong understanding of modern AI development methods and how they can be strategy. Excellent communication and problem solving skills, with a solution oriented mindset and a bias for action and delivery. Desirable Experience in motorsport, other high performance engineering environments. Experience with MATLAB. Familiarity with real time data pipelines and data acquisition systems. Personal Qualities Delivery focused software engineer who can own problems end to end Calm and analytical under pressure, able to diagnose and resolve complex issues efficiently. Strong interest in emerging technologies. Comfortable working in a fast paced, evolving start up / scale up environment. Why Join Us? You'll join at a pivotal moment where data reliability directly impacts business decisions. This role has real responsibility and visibility - your pipelines will be used daily to drive financial insight, operational efficiency, and strategic growth. You'll be building systems that matter in a fast-growing global organisation. Diversity & Inclusion Smedley Group is committed to attracting, recruiting, and retaining talented individuals from all backgrounds. We celebrate diversity and are proud to foster an inclusive environment where everyone is respected, empowered, and valued, regardless of age, disability, gender identity or expression, marital status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation.

Overview At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the tool for building, sharing, and running apps-trusted by startups and Fortune 100s alike. We're growing fast and just getting started. Come join us for a whale of a ride! Join Docker's AI engineering team to build the future of containerized AI agents. Docker containers are the perfect vehicle to host and run AI agents - providing isolation, portability, and reproducibility. You'll be working on cagent, our open-source project (), and expanding on it to enable developers to build, deploy, and scale intelligent agents using Docker's container technology. This is a greenfield opportunity to shape how developers leverage containers for AI agents at massive scale. You'll work alongside a team of seasoned engineers, collaborating with our sister teams working on Ask Gordon and Docker's broader AI platform. This is a unique opportunity to combine cutting-edge AI techniques with container technology to solve real-world developer problems. Please note: this role is only available to candidates currently located in London (or reasonable commuting distance to London). We are unable to make exceptions to this location requirement. Responsibilities As a Staff Engineer, you will partner with the engineering leadership to help set technical direction and serve as a guide and mentor as the team grows and matures Build Containerized Agent Systems: Design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portability Expand cagent: Maintain and evolve the open-source cagent project, adding new capabilities for containerized agent deployment and orchestration Agent Runtime Development: Build robust infrastructure for packaging, deploying, and managing agents in containers RAG Integration: Enhance agent capabilities with Retrieval-Augmented Generation systems to provide contextual knowledge and domain expertise (secondary focus) Evaluation & Testing: Design robust evaluation frameworks to measure agent performance, reliability, and containerized deployment effectiveness Rapid Prototyping: Iterate quickly on new agent capabilities and deployment patterns, moving from concept to production efficiently Open Source Community: Engage with the cagent community, review contributions, and help grow the ecosystem Cross-functional Collaboration: Work closely with product managers, designers, and engineers across Docker's AI teams to integrate containerized agent capabilities into Docker's developer experience On-Call Rotation: Take part in on-call rotation for your team; respond to incidents, debug production issues, and drive continuous improvement of system reliability Qualifications Go Expertise: Strong, demonstrated, professional proficiency in Go (this is absolutely required) - Docker's primary language for backend systems AI/ML Knowledge: Practical experience with large language models (LLMs) and agent development System Architecture: Proven ability to design scalable, distributed systems Container Technology: Deep understanding of Docker, containerization best practices, and container orchestration RAG Systems: Experience building Retrieval-Augmented Generation systems (secondary focus) Rapid Iteration: Demonstrated ability to prototype quickly and iterate based on feedback AI Frameworks: Experience with CrewAI, AGNO, ADK, LangChain/LangGraph or similar AI orchestration frameworks (preferred) Python Proficiency: Experience with Python for AI prototyping and tooling (preferred) Experience with Kubernetes or container orchestration platforms (preferred) Open source contributions and community engagement (preferred) Experience with agent evaluation, reliability, and observability techniques (preferred) 8+ years of directly applicable experience Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience What to expect First 30 days Integrate into our dynamic AI engineering team building containerized agent infrastructure Deep dive into cagent's architecture and our containerized agent deployment roadmap Contribute your first enhancements to cagent with the help of your team Understand our technical stack and begin collaborating with sister AI teams First 90 days Lead significant features or improvements to cagent and our containerized agent platform Enhance agent deployment capabilities and container-based orchestration patterns Collaborate with the open-source community on cagent development Help other new team members onboard Regularly interact with internal stakeholders and analyze user feedback One Year Outlook Drive major architectural decisions for our containerized agent platform that will impact millions of Docker users Continue to help grow the team and develop efficient agent development processes Contribute to evaluation frameworks and performance optimization across our agent systems Lead initiatives to expand containerized agent capabilities for enterprise use cases Grow your skills in enterprise-grade containerized AI system architecture and deployment Shape the future direction of cagent and Docker's agent ecosystem Docker does not offer visa sponsorship for this role. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 13, 2024. Please see the independent bias audit report covering our use of Covey here. Perks Freedom & flexibility; fit your work around your life Designated quarterly Whaleness Days plus end of year Whaleness break Home office setup; we want you comfortable while you work 16 weeks of paid Parental leave Technology stipend equivalent to $100 net/month PTO plan that encourages you to take time to do the things you enjoy Training stipend for conferences, courses and classes Equity; we are a growing start-up and want all employees to have a share in the success of the company Docker Swag Medical benefits, retirement and holidays vary by country Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be.

About TORTUS At TORTUS we work with clinicians and hospitals to provide clinically safe and reliable AI. We use a combination of speech-to-text and LLM models to infer information about your visit with a clinician (GP, Paramedic, Surgery), and provide verified documentation and actions. Fundamentally, we are on a mission to eliminate human error in medicine. We've been doing this for the last 2 years, and 2025 saw our biggest increase in usage to date as we rolled out to a large proportion of UK GP surgeries and to London Ambulance and other notable organisations. A huge part of our growth comes from partnerships - embedding TORTUS into the products our partners already sell. X-on Health (60% of UK primary care telephony), Medicus and others. To scale this further, we need engineers who can build the integrations and SDKs that make these partnerships work. What we're looking for Experience building partner-facing integrations or SDKs that other developers use in production. If you've created embeddable experiences, designed clean APIs, or built technical products that partners integrate into their own systems - we want to talk to you. What else would be great 5+ Years of full-stack development experience Experience with SaaS products, creating for developers Experience with healthcare integrations (FHIR, HL7, EHR systems like EMIS, SystmOne, or Epic) Strong frontend skills (React, TypeScript) for building embedded UI experiences Experience with iFrame-based integrations and cross-origin communication Familiarity with authentication flows for embedded applications (OAuth2, SSO, shared auth) Experience working directly with external partners on technical implementations What does wild success look like? In 12-18 months, you've become the engineer our partners trust. You've extended the TORTUS SDK so new integrations take days instead of weeks. You've shipped embedded experiences that run seamlessly inside partner applications - handling patient context, audio capture, and write-back to clinical systems. You've built integrations with multiple new partners from scoping to production. Our partner-driven revenue has grown significantly, and a lot of that is because you made our technology easy to adopt and delightful to use. Where does this role take you? This is a high-impact role in a fast-growing squad with clear commercial targets. Excel here and you could grow into leading our entire partnerships engineering function, or specialise deeper into platform architecture and developer experience. You'll work directly with partners and shape product direction based on real market needs. We're building something that genuinely matters - your impact will be on technology that helps clinicians care for millions of patients. Our Stack Google Cloud Platform (GCP) Google Kubernetes Engine (GKE) Terraform GitOps & ArgoCD PostgreSQL + Redis Typescript across our stack (React, NestJS), Python/FastAPI for ML workloads with Pub/Sub for events Self-hosted ML models What We Offer £90-120k DOE + equity 28 days holiday + bank holidays Mon & Fri WFH optional - office-first culture Latest MacBook + the right equipment to make you at your best The chance to genuinely transform healthcare Location We are an office-first company based in the historic Holborn Town Hall. Where possible, we aim to be in the office at least 3 days a week (typically Tuesday, Wednesday and Thursday). Interview Process Initial chat with Engineering Manager (15-30 mins, Remote) Take-home task - a technical PR style code review exercise (1 hour, async) Pair-coding - a pair coding exercise with 2 members of the engineering team (30mins, remote) Systems design - join us in the office for a white-boarding session solving a real world problem (1 hour, On-site) Culture interview - values alignment with the broader team (30 mins, On-site)