1211 jobs found

Customer Solution Architect - Permanent - Knutsford Hybrid - 3 days on site, 2 days remote Not sponsorship available Required: - Cloud platforms (one or more of) AWS, Azure, Google Cloud. System architecture & design: APIs, microservices, integrations, Data flows, scalability, security. Infrastructure concepts: Networking, authentication, IAM Containers (Docker, Kubernetes). Understanding of: DevOps practices, CI/CD pipelines Databases (SQL & NoSQL). Agile/Scrum certifications. ITIL (for service-oriented environments). Experience with RFPs, proposals, & SOWs. AWS Certified Solutions Architect/Azure Solutions Architect Expert/Google Professional Cloud Architect. TOGAF (for enterprise-focused roles) 3-8+ years in roles such as a Solutions Architect. Sales Engineer/Pre-Sales Engineer. Technical Consultant. Implementation Architect Nice-to-Have Qualifications. Customer Solutions Architect Overview: Skills & Experience Essential Proven experience in a customer-facing Solution Architect or Technical Consultant role Strong experience producing customer-facing HLDs & LLDs Experience designing SaaS or managed service solutions Understanding of regulated or compliance-driven environments Excellent customer communication, workshop facilitation, & presentation skills Ability to balance customer requirements with product & service constraints Desirable Experience with compliance, archiving, or regulated data platforms Exposure to financial services or regulated communications environments Experience supporting technical pre-sales or complex customer onboarding Familiarity with structured service delivery or professional services models Customer Solutions Architect Personal Attributes Strong customer-first mindset Confident, credible, & consultative in customer engagements Structured & detail-oriented in design documentation Comfortable managing multiple customer designs concurrently Qualifications Bachelor's degree in: Computer Science or Software Engineering or Information Systems or Engineering or a related technical field or relevant business experience With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining and Manufacturing sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.

About easyJet We are easyJet - a FTSE 100 listed, multi billion pound low cost airline that serves tens of millions of customers each year. We fly across 1,207 routes in 38 European countries and employ more than 18,000 colleagues. Our mission is to make low cost travel easy, delivering a network of reliable flights, competitive fares and friendly service. Position Overview Senior Data Scientist (ID 16975) We are looking for a senior data science professional who can own high impact projects from concept through deployment and monitoring. The role requires strong stakeholder engagement, technical depth and the ability to translate complex analysis into clear business outcomes. The Team The Data Science team sits at the centre of smarter decision making across the business, partnering with operations, technology and commercial teams to solve complex challenges and enhance customer experience. Key Responsibilities Lead end to end delivery of data science projects, from problem definition and modelling to production implementation and monitoring. Analyse complex, multi source datasets to answer strategic business questions and uncover improvement opportunities. Develop, validate and deploy predictive, simulation and optimisation models to support business performance. Translate technical findings into clear, actionable recommendations for both technical and non technical audiences. Collaborate with cross functional teams in a product led environment to support operational and technology transformation initiatives. Mentor junior data scientists, providing coaching, technical guidance and knowledge sharing. Contribute to best practice development and strengthen data science capability across the organisation. Stay up to date with emerging tools, technologies and methodologies, evaluating opportunities for business application. Qualifications Degree or MSc in Statistics, Mathematics, Computer Science, Engineering or a related scientific discipline. Significant commercial experience in data science roles with demonstrable progression. Strong technical knowledge in programming, machine learning, data preparation, visualisation and predictive analytics. Experience with optimisation, simulation or other advanced analytical techniques. Delivered data science solutions within operational, logistics, manufacturing or similarly complex business environments. Proven ability to independently manage projects, prioritise competing demands and deliver results in fast paced environments. Excellent stakeholder management and communication skills, confident presenting technical concepts to non technical audiences. Experience working alongside Product Owners, Software Engineers and cross functional teams. Strong commercial awareness and a pragmatic approach to solving business problems. Passion for mentoring, collaboration and building analytical capability within teams. Benefits Up to 20% maximum bonus. Private Medical Insurance (PMI). 7% pension contributions. Excellent staff travel benefits. 25 days of annual leave plus bank holidays. Annual credit towards an easyJet holiday. Various flexible benefits and extras. Reasonable Adjustments At easyJet, we are dedicated to fostering an inclusive workplace that reflects the diverse customers we serve across Europe. We welcome candidates from all backgrounds. If you require specific adjustments or support during the application or recruitment process, such as extra time for assessments or accessible interview locations, please contact us at . We are committed to providing reasonable adjustments throughout the recruitment process to ensure accessibility and accommodation.

Introduction Join us to shape the future of AI/ML data platforms, where your expertise will help create resilient and market leading solutions. You will have the opportunity to collaborate with innovators across our global network, driving strategic change and mentoring others. We value your skills in solving complex challenges and fostering a culture of reliability and growth. At JPMorganChase, your impact will reach far beyond your team, opening doors to career advancement and meaningful relationships. Job Overview As a Site Reliability Engineer in the AI/ML Data Platforms team, you will play a key role in building scalable and resilient data solutions. You will engage in root cause analysis, production changes, and operational improvements, while supporting budgetary and staffing decisions. You will mentor team members and partner with colleagues across the organization to drive strategic change. Your contributions will help shape a collaborative, innovative, and high performing team culture. Job Responsibilities Demonstrate expertise in application development and support across technologies such as Databricks, Snowflake, AWS, and Kubernetes. Coordinate incident management coverage to ensure effective resolution of application issues. Collaborate with cross functional teams to perform root cause analysis and implement production changes. Develop and support AI/ML solutions for troubleshooting and incident resolution. Mentor and guide team members to foster growth and drive strategic change. Build and maintain scalable, resilient, and market leading data solutions. Support budgetary and staffing considerations to optimize team performance. Engage in operational stability and disaster recovery planning. Implement automation tools to reduce toil and improve efficiency. Ensure compliance with risk controls and company wide standards. Build meaningful relationships across teams to achieve common goals. Required Qualifications Proficient in site reliability culture and principles, with experience implementing site reliability within applications or platforms. Skilled in running production incident calls and managing incident resolution. Experienced in observability, including white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, and Splunk. Strong understanding of SLI/SLO/SLA and Error Budgets. Proficient in Python or PySpark for AI/ML modeling. Able to reduce toil by building automation tools for repeated tasks. Hands on experience in system design, resiliency, testing, operational stability, and disaster recovery. Awareness of risk controls and compliance with departmental and company wide standards. Collaborative team player with the ability to build meaningful relationships. Preferred Qualifications Experience in an SRE or production support role with AWS Cloud, Databricks, Snowflake, or similar technologies. AWS and Databricks certifications. Advanced knowledge of AI/ML troubleshooting and incident resolution. Familiarity with budgetary and staffing optimization. Experience mentoring and guiding team members. Strong communication and interpersonal skills. Demonstrated ability to drive strategic change across teams. Benefits We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Equal Opportunity Employer We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans.

About easyJet We are easyJet - a FTSE 100 listed, multi billion pound low cost airline that serves tens of millions of customers each year. We fly across 1,207 routes in 38 European countries and employ more than 18,000 colleagues. Our mission is to make low cost travel easy, delivering a network of reliable flights, competitive fares and friendly service. Position Overview Senior Data Scientist (ID 16975) We are looking for a senior data science professional who can own high impact projects from concept through deployment and monitoring. The role requires strong stakeholder engagement, technical depth and the ability to translate complex analysis into clear business outcomes. The Team The Data Science team sits at the centre of smarter decision making across the business, partnering with operations, technology and commercial teams to solve complex challenges and enhance customer experience. Key Responsibilities Lead end to end delivery of data science projects, from problem definition and modelling to production implementation and monitoring. Analyse complex, multi source datasets to answer strategic business questions and uncover improvement opportunities. Develop, validate and deploy predictive, simulation and optimisation models to support business performance. Translate technical findings into clear, actionable recommendations for both technical and non technical audiences. Collaborate with cross functional teams in a product led environment to support operational and technology transformation initiatives. Mentor junior data scientists, providing coaching, technical guidance and knowledge sharing. Contribute to best practice development and strengthen data science capability across the organisation. Stay up to date with emerging tools, technologies and methodologies, evaluating opportunities for business application. Qualifications Degree or MSc in Statistics, Mathematics, Computer Science, Engineering or a related scientific discipline. Significant commercial experience in data science roles with demonstrable progression. Strong technical knowledge in programming, machine learning, data preparation, visualisation and predictive analytics. Experience with optimisation, simulation or other advanced analytical techniques. Delivered data science solutions within operational, logistics, manufacturing or similarly complex business environments. Proven ability to independently manage projects, prioritise competing demands and deliver results in fast paced environments. Excellent stakeholder management and communication skills, confident presenting technical concepts to non technical audiences. Experience working alongside Product Owners, Software Engineers and cross functional teams. Strong commercial awareness and a pragmatic approach to solving business problems. Passion for mentoring, collaboration and building analytical capability within teams. Benefits Up to 20% maximum bonus. Private Medical Insurance (PMI). 7% pension contributions. Excellent staff travel benefits. 25 days of annual leave plus bank holidays. Annual credit towards an easyJet holiday. Various flexible benefits and extras. Reasonable Adjustments At easyJet, we are dedicated to fostering an inclusive workplace that reflects the diverse customers we serve across Europe. We welcome candidates from all backgrounds. If you require specific adjustments or support during the application or recruitment process, such as extra time for assessments or accessible interview locations, please contact us at . We are committed to providing reasonable adjustments throughout the recruitment process to ensure accessibility and accommodation.

Staff Software Engineer At UnlikelyAI, we are building the future of AI: one that is reliable, accurate, and transparent. Our neurosymbolic technology harnesses the power of LLMs and generative AI, and combines it with Universal Language - our proprietary symbolic technology that bridges the gap between probabilistic machine learning and deterministic classical computing. Our products are already in use with major enterprises - including tier-1 banks and leading accountancy firms - across audit, compliance, and financial services. In compliance, we combine symbolic decision trees with LLM-powered evidence extraction to catch errors in financial reporting that human reviewers miss. In financial services, we use neurosymbolic guardrails to deliver accurate and explainable outcomes at scale. We are now building toward a platform - a public API and platform experience that will make our core neurosymbolic capabilities available to a broader set of customers and use cases. This is a pivotal moment: we're transitioning from bespoke customer engagements into a scalable product platform, and we need exceptional engineers to help us get there. The Role We are looking for a Staff Software Engineer to help shape the technical direction of our platform as we scale. This is a role for someone who combines deep hands on engineering ability with the judgement and influence to drive architecture and engineering quality across teams. You'll be one of our most experienced individual contributors - someone the team looks to for guidance on hard technical decisions, system design, and long term technical strategy. You'll spend most of your time writing code and solving complex problems, but you'll also be expected to identify the highest leverage work across squads, mentor other engineers, and raise the bar for how we build software. Our core capabilities span symbolic reasoning (decision trees, propositional graphs, knowledge graphs), document ingestion pipelines, and the APIs that expose these to customers. You'll work on genuinely novel problems at the intersection of classical symbolic AI and modern LLMs - for example, how to represent regulatory knowledge as machine evaluable rules, or how to build feedback loops that improve system accuracy over time. You'll work within a shared monorepo alongside software engineers, research engineers, and applied scientists in a heavily cross functional environment. We operate in small, focused product teams, supported by shared infrastructure, internal tooling, and an R&D function. What You Might Work On In your first months, you could find yourself working on any of the following: Defining the architecture for our new public API - making foundational decisions about authentication, scalability, versioning, and developer experience that will shape the platform for years. Leading the design and implementation of our document ingestion pipelines to handle new input formats (e.g. PDF, Word) and new regulatory jurisdictions at scale. Designing evaluation frameworks and benchmarks to measure and improve system accuracy - and establishing these as engineering norms across teams. Driving improvements to our deployment architecture for enterprise customers with specific cloud and security requirements. Owning the technical strategy for internal tooling and developer experience across the monorepo - identifying bottlenecks and leading initiatives to address them. Working on the symbolic reasoning engine that powers our products - including decision tree evaluation, rule generation, and knowledge graph construction. Identifying and leading cross cutting technical initiatives that improve reliability, performance, or engineering velocity across the organisation. You'll be successful here if you have deep expertise in Python, including writing well typed, well tested code in a collaborative codebase, and strong opinions on how to structure Python projects at scale. you have a proven track record in system design and architecture - you've made foundational technical decisions that shaped the trajectory of a product or platform. you've tackled complex algorithms and data structures and have experience working with non trivial algorithmic problems at scale. you care deeply about production quality engineering - you don't just advocate for software quality, you actively set the standards and build the culture around it. you have a track record of technical leadership - you've influenced technical direction across multiple teams or projects without necessarily having direct reports. you have significant experience with cloud infrastructure (AWS preferred) - services such as S3, ECR, ECS/EKS, and infrastructure managed via Terraform or similar - and can make informed architectural decisions about deployment and scalability. you have a bias for action - you move quickly, make informed decisions, and iterate without waiting for perfect information. you have a relevant degree in Computer Science, Mathematics, Engineering, or STEM - or equivalent practical experience. Other skills You don't need to tick every box below, but any of the following would strengthen your application: Monorepo experience - comfortable working in and improving a large, shared codebase with multiple product teams contributing. CI/CD pipelines - hands on experience with GitHub Actions or similar, ideally including designing and optimising CI infrastructure. Experience with document processing pipelines - PDF parsing, OCR, structured data extraction. Familiarity with knowledge representation - decision trees, knowledge graphs, ontologies, or symbolic reasoning systems. Experience with LLM integration in production systems - prompt engineering, evaluation, working with APIs such as Gemini, Claude, or OpenAI. Frontend experience with React and TypeScript - we value engineers who can contribute across the stack when needed. Experience in regulated industries - fintech, audit, compliance, insurance, or banking. Familiarity with the modern Python tooling ecosystem: uv for package management, ruff for linting, pyright or similar type checkers. Experience with observability and monitoring tools such as Datadog. Experience mentoring engineers and helping teams grow their technical capabilities. How We Work We're a team of around 30 people based primarily in the UK. We operate a hybrid working policy, with three days a week in our Central London office. Engineering is organised into product focused squads, supported by shared infrastructure and an R&D function. We work in a monorepo, deploy to AWS, and care deeply about developer experience - we're actively investing in modernising our tooling, CI, and repository structure. We run hackathons, we have strong opinions about code quality (held loosely), and we ship often. Our culture is collaborative and low ego: engineers regularly move between teams, pair on hard problems, and contribute ideas regardless of seniority. We take the work seriously, but not ourselves.

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! About the Team Portal is the cloud platform that connects Wayve to the outside world: handling data exchange with partners, surfacing AI insights, and enabling the commercial deployment of Wayve's autonomy stack to OEM partners globally. The team operates as a startup within a scale-up: with its own infrastructure, codebase, and direct relationships with commercial partners including Uber, Nissan and other OEMs. We move fast, own our decisions, and build systems that matter. The Role We're looking for a Staff Data Platform Engineer to own and lead Wayve's Data Transfer Hub project. This is a mission critical piece of infrastructure that will scale to transfer petabytes of sensor data per day from partner-operated vehicles around the world. This is a hands on technical leadership role driving a new project at Wayve. You'll design and build a globally distributed hub and spoke ingestion system, working directly with data partners like Uber and Nissan. Your infrastructure is what makes Wayve's AI model training possible at scale. What You'll Do Set technical direction for the Data Transfer Hub, making trade-offs across reliability, throughput, cost, partner constraints, observability and operational support. Lead the technical design and delivery of the Data Transfer Hub project, ingesting large volumes of video, LiDAR and sensor data from global partners at up to PB/day scale. Design and build parallelised, distributed data transfer pipelines using Flyte for workflow orchestration, Kafka/event driven patterns for lifecycle tracing, and Azure for storage and transfer infrastructure. Build and operate a globally distributed hub and spoke data transfer model to retrieve and share sensor data at scale with partners. Write infrastructure as code in Terraform; build pipeline logic primarily in Python. Drive cloud to cloud and cross cloud networking solutions (Azure primary; cross cloud experience beneficial). Work in a fast changing environment: requirements will evolve; high comfort with ambiguity required. What We're Looking For Proven experience building and operating large scale data transfer pipelines at multi TB or PB scale. Experience orchestrating parallelised transfer jobs: Flyte preferred; other workflow orchestration tools (e.g. Airflow, Prefect) will be considered. Experience building reliable, observable data systems, including retry strategies, backfills, data integrity checks, lifecycle/state tracking and operational alerting. Strong cloud platform skills (Azure preferred); experience working with multiple cloud providers (AWS/GCP) is a strong advantage. Proficiency in Python and Terraform. Cloud to cloud and networking experience (e.g. blob/object transfer and storage at scale, cross cloud data movement). A product mindset: you think about the customer and build solutions that fix real problems, not just implement requirements. Comfort working in a fast changing environment with evolving requirements: this is a startup within a scale up. High degree of autonomy and ownership: you take responsibility for outcomes, not just tasks. Nice to Have Experience with Kafka for event driven transfer observability. Multi cloud experience across Azure, AWS and/or GCP. Experience working directly with external data partners. Background in autonomous vehicles, robotics or similar data intensive domains. This is a full time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you're passionate about self driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve. DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non discriminatory.

Icehouseventures in London seeks a Staff Data Platform Engineer to lead the Data Transfer Hub project, facilitating the transfer of a large volume of sensor data from partner vehicles. This hands-on role requires deep expertise in building scalable data pipelines with a hands-on cloud platform experience, particularly in Azure. The ideal candidate will have a passion for AI technology, a product mindset, and thrive in a dynamic startup environment. Icehouseventures promotes a hybrid working model to foster innovation and collaboration.

About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. We are passionate about user-centred design, agile delivery, and building digital services that make a real difference. Our teams work at the forefront of innovation, helping organisations transform and deliver high-quality, scalable solutions that truly matter. Role Purpose Join a blended agile delivery squad working on large-scale, secure digital services for a government client. As a Senior Developer, you will bring strong hands-on experience across both .NET and Python, contributing to cloud-native API development, Legacy modernisation, and DevSecOps practices - all within a Microsoft Azure environment and aligned to the highest engineering and security standards. Key Responsibilities Design, develop, and maintain full-stack applications and services using .NET Core and Python. Build and consume RESTful APIs following API-first and microservices design principles. Contribute to CI/CD pipelines in Azure DevOps - build, test, and deployment automation. Apply DevSecOps practices including SAST/DAST scanning, dependency management, and environment segregation. Participate in code reviews, uphold coding standards, and implement secure development practices. Support Legacy system modernisation - migrating from older Windows and .NET Framework environments. Produce clear technical documentation and contribute to architecture artefacts. Ensure all developed solutions meet WCAG AA accessibility standards. Work collaboratively with architects, lead developers, and delivery managers within an agile squad. Contribute to knowledge transfer and onboarding activities for client and team staff. Security Clearance - Mandatory SC (Security Check) clearance is mandatory for this role. Candidates must be eligible to obtain SC clearance. British nationality or a minimum of 5 years' UK residency is typically required. Clearance will be sponsored upon appointment. Essential Skills & ExperienceCore Languages - Mandatory.NET Core 10.0 & .NET Framework 4.8 [MANDATORY] Strong hands-on C# with solid grasp of OOP, design patterns, and SOLID principles. Experience building production-grade applications in both .NET Core and Framework environments. Python - Production-Grade Experience [MANDATORY] Proficiency with Astral UV, virtual environments, and Python dependency management. Ability to build, maintain, and deploy Python-based services and tooling. JavaScript/TypeScript Cloud, DevOps & Infrastructure Microsoft Azure - Cloud-Native Development Experience Azure DevOps - CI/CD Pipeline Design and Management Infrastructure as Code - Terraform and/or Bicep Containerisation - Docker and/or Kubernetes Development Practices - Mandatory RESTful API design, development, and life cycle management Secure development - SAST/DAST tooling, code review, OWASP awareness Technical documentation to a high standard On-site in Taunton, Somerset - 2 days per week minimum Desirable Skills & Experience Legacy Windows technologies - Win32, WPF, MFC/ATL, COM, MSI packaging. Geospatial data formats - GeoJSON, MBTiles, GML. Familiarity with MOD Secure by Design and NCSC software security standards. Experience working in UK public sector or government digital services. Python geospatial tooling or data pipeline experience. Tech StackAreaTechnologies Backend: .NET Core 10.0, .NET Framework 4.8, C#, Python (Astral UV), REST APIs, Microservices Frontend: JavaScript, TypeScript, HTML5, CSS3, WCAG AA Cloud & DevOps: Microsoft Azure, Azure DevOps, CI/CD, Terraform, Bicep, Docker, Kubernetes Security: SAST/DAST, Secure by Design, SC Clearance (Mandatory) Geospatial: GeoJSON, MBTiles, GML (desirable) Tools: Git, Jira, Confluence, Azure DevOps Boards

Our Future Healthis an ambitious collaboration between the public, charity and private sectors, designed to help people live healthier lives for longer through better prevention, earlier detection and improved treatment of diseases. We will speed up the discovery of new methods of early disease detection, and the evaluation of new diagnostic tools, to help identify and treat diseases early, when outcomes are usually better. With over 2.5M volunteers across the UK, we'renow the world's biggest health researchprogramme of its kind, and our volunteer group is also more diverse than other, similar health researchprogrammes. Technology and data are central to our mission. Our systems power websites, clinics across the UK, secure analytics and research systems, pipelines that process highly sensitive health and genetic data, and we are continuing to grow our engineering capability to support this ambition. We are looking for a Staff Engineer (Architect) to own the high-level design of our researcher operations systems. As Our Future Health moves to expand its research offering we need to build and operate new systems related to acquiring researchers, onboarding them, taking them through the study application process, and maintaining our relationship with them. The role will require working with other functions at Our Future Health such as Finance, Customer Support, and we expect it to involve a mixture of bespoke building of select components alongside configuration and integration of SaaS products like CRM, ticketing, support, and email comms systems. Where we build our own components you will work with product development squads to define the design and requirements for the component and then support the squad as they build it. The researcher onboarding and study application processes are vitally important to Our Future Health since they form our implementation of two principles from the "Five Safes" framework for safe research access to data - "safe people" and "safe projects". As well as the responsibilities specific to the researcher operations area, as a member of the Architecture team you will also play a key role in general architecture activities at Our Future Health - working with other engineers to guide the wider platform design, work on cross-platform projects which add new platform-side capabilities, represent technology in the early stages of future projects, and so on. Responsibilities Day to day work will vary depending on what your focus is at that time, but will include things like: Represent technology/architecture/engineering in cross functional project teams throughout a project's lifecycle (from ideation to implementation). Work within the team to identify optimal solutions for challenges, communicate them outwards to stakeholders and work with others to implement them. Work with your peer staff engineers and Head of Engineering to act as a guiding mind for the engineering/architecture in your business area. Identify areas for improvement and work with other leaders to implement. Lead decision making on critical technical strategy and implementations which affect your business area. Identify opportunities for and then carry out specific pieces of high impact hands on work where it makes sense. Work with partners and suppliers to integrate their systems with Our Future Health's. Support your colleagues with pairing, peer reviews, coaching, discussion, and other collaborative activities that help everyone reach high standards and result in the delivery of high quality software products. Contribute to the reliability, resilience and ongoing evolution of critical research platform services and live systems where required. We welcome applications from all who may not feel they match the full criteria, so if you have most of the below, we'd like to hear from you: Technical Skills You have led the architectural design of systems. Experience of configuring and integrating off the shelf SaaS systems with bespoke web and backend applications, via APIs, event driven architectures, etc. Appreciation of the balance between "build" and "buy", experience of weighing up pros and cons to make a selection which will fit into the wider organisation's systems and meet the needs of organisational internal users and goals. Knowledge and experience of building cloud hosted consumer web applications and backend services using open source technologies such as Node.js, Ruby on Rails, Python in a start up or scale up environment. Prior experience with Azure (ideally), AWS or GCP. Comfortable working with Infrastructure as Code, ideally with knowledge of Terraform. Knowledge of good data modelling and design patterns; in-depth knowledge of relational databases (e.g. PostgreSQL) and familiarity with other types of data store (blob, document, graph). Expertise in modern, agile development practices like code review, TDD, CI/CD and pairing using tools like Git and GitHub. Experience of operationally managing software components once live, including observability, logging, metrics, error reporting, debugging and live incident management. Experience of working with sensitive personal data. Competencies Experience working in/with cross functional teams consisting of engineers, product, UX and non technical stakeholders. Proven ability to communicate with stakeholders and audiences at different levels. Understanding of the importance of operational, security and legal factors when designing solutions, with the ability to articulate trade offs and make informed decisions around design and technology choices. Experience working in small, growing organisations with a high degree of ambiguity, where flexibility is valued. Strong understanding of software quality principles and practices. Experience in mentoring and coaching less experienced engineers. Comfortable facilitating technical discussions, encouraging collaboration and providing direction. Salary & Benefits Competitive base salary from £105,000 Generous Pension Scheme - We invest in your future with employer contributions of up to 12% 30 Days Holiday pro rata + Bank Holidays - Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you Enhanced Parental Leave - Supporting you during life's biggest moments Cycle to Work Scheme - Save 25-39% on a new bike and accessories through salary sacrifice Home & Tech Savings - Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice EV Scheme - Save up to 40% on a brand new electric vehicle all inclusive package through salary sacrifice £1,000 Employee Referral Bonus - Know someone amazing? Get rewarded for bringing them on board! Wellbeing Support - Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family A Great Place to Work - We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements Join Us - Let's prevent disease together. We recommend you apply as soon as possible as occasionally due to high volumes of applications we need to close our postings early. Equity and Accessibility At Our Future Health, we recognise the importance of having a diverse workforce and ensuring that all candidates, regardless of their background, have equitable access to our application process. We proactively encourage applicants who identify as having a disability, neurodiversity, or long term health conditions to let us know if they require any reasonable adjustments as part of their application process. If you require any reasonable adjustments, please email us at

At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary Applicants for this role should have strong experience designing, developing, and maintaining high-quality software systems. The role focuses on testing and validating a complex machine learning software stack, with particular emphasis on software architecture, automation, and engineering best practices. The ideal candidate is an experienced software engineer who values code quality, testability, and long-term maintainability, and enjoys building systems that other engineers rely on. This person will be comfortable working across large codebases, contributing to CI/CD infrastructure, and shaping technical direction through thoughtful design and mentoring in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware. The Team The MLQA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data driven validation. The team works closely with industry standard machine learning frameworks and models, contributing to upstream open source projects and collaborating across the wider software organization. Operating in a fast paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high quality products to customers. Responsibilities and Duties Design, implement, and maintain robust test infrastructure and automation for a complex ML software stack. Architect and evolve test frameworks and tooling with a focus on scalability, maintainability, and developer experience. Build and maintain CI/CD pipelines targeting simulators, emulators (e.g. QEMU), and physical hardware. Create representative ML workloads and gain insights from their execution (numerical accuracy, performance analysis and benchmarking). Work closely with all software development teams, supporting a culture of quality, security and maintainability. Review code and designs, setting a high bar for software engineering best practices. Mentor and support junior engineers, helping raise the overall technical capability of the team. Evaluate existing test strategies and infrastructure, identifying gaps and driving improvements aligned with team and organizational goals. Candidate Profile Experience in production quality software engineering roles. Strong software design and architecture skills, with experience working on large or complex systems. Strong proficiency in Python, including experience building and maintaining production codebases. Solid experience with CI/CD systems and automated testing (preferably GitHub based workflows). Experience working in Linux environments. Familiarity with C or C++, with the ability to read, debug, and reason about low level code when needed. Proven ability to mentor junior engineers and influence engineering practices within a team. Strong problem solving skills and a proactive, self directed approach to work. Bachelor / Master / PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow. Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines. Experience working with hardware simulators or emulators (e.g. QEMU). Experience developing for or working with FPGA based systems. Experience with people management or mentoring. In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications. UK Demographic Data We take pride in our commitment to creating an inclusive and diverse workplace. As part of our recruitment process, we ask for confidential diversity data from all applicants. This data will be anonymised so that no personal identification information will be collected, and is retained for statistical purposes only and is not attached to your application. Your responses to the following three questions will remain confidential and will not impact or be used in any way in regards to your application. We are only using this data to improve our hiring process to be inclusive of all diversity backgrounds.

About the role As a Software Engineer within the Timetabling product team, you will contribute to the delivery of digital services that underpin teaching and learning across the company. Working within a product led, agile environment, you will design, build and support secure, scalable and user centered solutions aligned to institutional priorities. You will work across the full product lifecycle, collaborating with product managers, delivery leads and stakeholders to shape, implement and continuously improve timetabling systems and integrations that support operational excellence. Responsibilities Design and deliver high quality software solutions that meet functional and non functional requirements. Contribute across the end to end product lifecycle, from discovery through delivery and iteration. Collaborate with multidisciplinary teams to understand user needs and translate them into technical solutions. Configure, extend and integrate enterprise systems to deliver timetabling capabilities. Design, implement and support Web APIs, integrations and data flows between systems. Provide operational support, troubleshooting and resolving incidents. Contribute to evolving timetabling and engineering standards, practices and continuous improvement. Qualifications Experience delivering digital solutions within a product or platform team. Experience working across the software lifecycle (discovery, build, test, release and support). Knowledge of software engineering principles including security, performance and reliability. Experience with Microsoft SQL, Windows Server/IIS, PowerShell or .NET configuration. Understanding of APIs, integrations and data flow design. Experience working in agile delivery and operational support environments. Strong problem solving and troubleshooting skills. Ability to communicate technical concepts clearly to diverse stakeholders. Experience in timetabling or higher education environments (highly desirable). Benefits Opportunity to continue your career at a world leading institution and be part of our mission to use science for humanity. Opportunity to try and use new features in industry leading platforms (such as Fabric), gaining vital knowledge and experience from as early as day one. Sector leading salary and remuneration package (including 41 days' annual leave and generous pension schemes). Workplace benefits including a flexible working policy from day one, generous family leave packages, on site leisure facilities and cycle to work scheme. Interest free season ticket loan schemes for travel. Inclusive and collaborative work culture with various staff networks and resources to support personal and professional wellbeing.

About this role: the company is seeking a Senior Software Engineer to join a high-impact technology team supporting critical initiatives within our Capital Markets and regulatory landscape. This is an opportunity to work on complex, business-critical systems where you'll design and deliver scalable solutions that directly support trading, risk, and compliance functions. You'll be part of a collaborative environment that values innovation, engineering excellence, and continuous learning. In this role, you'll take ownership of key technical deliverables while contributing to broader strategic initiatives across the platform. You'll work closely with business and technology stakeholders to solve challenging problems, influence design decisions, and help drive modern engineering practices including event-driven architectures, data governance, and cloud-native solutions. This is an ideal role for someone looking to deepen their technical expertise while making a tangible impact in a highly regulated, fast-paced financial environment. In this role, you will: Lead moderately complex initiatives and deliverables within technical domain environments Contribute to large scale planning of strategies Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals Lead projects and act as an escalation point, provide guidance and direction to less experienced staff Implement strong data governance, lineage, and reconciliation controls to ensure accuracy and completeness of reported data Required Qualifications: Experience in Software Engineering, or equivalent demonstrated through one or a combination of the following: work experience, training, education Desired Qualifications: Strong understanding of capital markets products such as derivatives, securities financing transactions, equities, and fixed income. Experience in regulatory reporting, risk, compliance, or audit-driven environments Knowledge of non-financial regulatory domains Familiarity with data governance tools and metadata management platforms Experience with event-driven architectures or streaming platforms (e.g., Kafka, Flink) Exposure to containerisation and orchestration (Docker, Kubernetes) Strong understanding of controls, auditability, and regulatory expectations in large financial institutions Ability to influence and collaborate across business and technology teams Familiarity with responsible AI principles and understanding of how AI can augment software engineering Posting End Date: 30 Jun 2026 We Value Equal Opportunity the company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary Applicants for this role should have strong experience designing, developing, and maintaining high-quality software systems. The role focuses on testing and validating a complex machine learning software stack, with particular emphasis on software architecture, automation, and engineering best practices. The ideal candidate is an experienced software engineer who values code quality, testability, and long-term maintainability, and enjoys building systems that other engineers rely on. This person will be comfortable working across large codebases, contributing to CI/CD infrastructure, and shaping technical direction through thoughtful design and mentoring in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware. The Team The MLQA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data driven validation. The team works closely with industry standard machine learning frameworks and models, contributing to upstream open source projects and collaborating across the wider software organization. Operating in a fast paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high quality products to customers. Responsibilities and Duties Design, implement, and maintain robust test infrastructure and automation for a complex ML software stack. Architect and evolve test frameworks and tooling with a focus on scalability, maintainability, and developer experience. Build and maintain CI/CD pipelines targeting simulators, emulators (e.g. QEMU), and physical hardware. Create representative ML workloads and gain insights from their execution (numerical accuracy, performance analysis and benchmarking). Work closely with all software development teams, supporting a culture of quality, security and maintainability. Review code and designs, setting a high bar for software engineering best practices. Mentor and support junior engineers, helping raise the overall technical capability of the team. Evaluate existing test strategies and infrastructure, identifying gaps and driving improvements aligned with team and organizational goals. Candidate Profile Experience in production quality software engineering roles. Strong software design and architecture skills, with experience working on large or complex systems. Strong proficiency in Python, including experience building and maintaining production codebases. Solid experience with CI/CD systems and automated testing (preferably GitHub based workflows). Experience working in Linux environments. Familiarity with C or C++, with the ability to read, debug, and reason about low level code when needed. Proven ability to mentor junior engineers and influence engineering practices within a team. Strong problem solving skills and a proactive, self directed approach to work. Bachelor / Master / PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow. Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines. Experience working with hardware simulators or emulators (e.g. QEMU). Experience developing for or working with FPGA based systems. Experience with people management or mentoring. In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications. UK Demographic Data We take pride in our commitment to creating an inclusive and diverse workplace. As part of our recruitment process, we ask for confidential diversity data from all applicants. This data will be anonymised so that no personal identification information will be collected, and is retained for statistical purposes only and is not attached to your application. Your responses to the following three questions will remain confidential and will not impact or be used in any way in regards to your application. We are only using this data to improve our hiring process to be inclusive of all diversity backgrounds.

Role Summary As a Senior Full Stack Developer specialising in C# .NET, you will be a pivotal member of our Software Development team in Clearing Technology, driving an AI first approach to the creation and enhancement of secure, responsive web based platforms. You will leverage modern AI assisted development tools and practices to accelerate delivery, improve code quality, and enhance developer productivity, while ensuring solutions meet the high standards of control, auditability, and reliability required within financial systems, including compliance with SOX (Sarbanes Oxley) requirements. Your expertise as a full stack developer in C# .NET and Node.js will be instrumental in delivering robust, scalable, and well governed applications. You will maintain a strong emphasis on testing, traceability, and deterministic system behaviour. Responsibilities Design, develop, and test components of modern, secure web based post trade platforms, applying AI assisted development practices to improve quality and delivery speed. Contribute to the overall architecture and design of technology solutions, incorporating AI enabled tooling and automation while ensuring control, transparency, and auditability. Develop solutions to a high standard that are maintainable, testable, and aligned to acceptance criteria, with a strong emphasis on traceability and deterministic behaviour in regulated environments. Leverage AI tools responsibly across the software development lifecycle (e.g. code generation, testing, documentation), ensuring outputs are reviewed, validated, and compliant with engineering standards. Communicate effectively with team members, contribute ideas, and stay current with emerging technologies and modern engineering practices. Ensure delivered systems are production ready, secure, and well documented, supporting operational handover and ongoing audit requirements. Follow coding standards and defined development processes, ensuring consistency, quality, and compliance across all deliverables. Resolve third line support issues in a professional and timely manner, applying a structured and analytical approach to problem solving. All Staff Ensuring compliance with the company's regulatory requirements under the FCA, NFA, AMF, AFM, MAS. Adhere to the operational risk framework for your role ensuring that all regulatory or company determined parameters are complied with. Role model for demonstrating highest level standards of integrity and conduct and reflecting Company Values. At all times complying with the FCA's Code of Conduct. To ensure that you are fully aware of and adhere to internal policies that relate to you, your role or any other activities for which you have any level of responsibility. To report any breaches of policy to Compliance and/or your supervisor as required. To escalate risk events immediately. To provide input to risk management processes, as required. Essential Skills and Experience Experience in C# .NET, Node.js, React, JavaScript, TypeScript. Experience leveraging AI assisted development tools (e.g. code generation, automated testing, developer productivity tooling) to improve delivery speed and quality. Strong understanding of applying AI responsibly within the software development lifecycle, ensuring traceability, auditability, and control. Experience with NoSQL or RDMS databases. Infrastructure as Code, Terraform or equivalent. Modern CI/CD and DevOps practices. Cloud technology, ideally AWS (Amazon Web Services). Knowledge of BDD/TDD. Agile and scrum development methodologies. Methodical approach to software architecture and design and experience employing the right design choices for a given project. Excellent verbal and written communication skills. Desirable Understanding of financial products across derivatives, FX, commodities, cash equities or fixed income. Good knowledge of the post trade lifecycle, including confirmation/affirmation, allocations, settlement, clearing, collateral and margin, lifecycle events, reconciliations, and exceptions management. Exposure to embedding AI capabilities into end user applications (e.g. intelligent workflows, automation, or decision support). Experience with SOLID. Experience with Domain Driven Design. Experience working in a regulated environment and knowledge of the financial markets. Competencies A collaborative team player, approachable, self efficient, and able to foster a positive engineering culture, including adoption of AI first practices. Demonstrates curiosity, particularly in emerging technologies, AI capabilities, and continuous improvement of development practices. Resilient in a challenging, fast paced, and regulated environment. Excels at building relationships, networking, and influencing others across both technical and business teams. Strategic collaborator with insight and agility, able to anticipate future challenges, including those related to scale, regulation, and technology evolution, ensuring operational effectiveness. Conduct Rules Act with integrity. Act with due skill, care and diligence. Be open and cooperative with the FCA, the PRA and other regulators. Pay due regard to the interests of customers and treat them fairly. Observe proper standard of market conduct. Act to deliver good outcomes for retail customers. Company Values Be collaborative - by working together across the organisation, we foster teamwork, can better respond to challenges and successfully deliver for our clients. Act with integrity - we pride ourselves on our honesty and high ethical standards. We apply these values when working with all our clients, colleagues and other stakeholders. Be adaptable and entrepreneurial - we embrace change as markets evolve to constantly increase our efficiency and create innovative solutions for our clients. We are interested in the world around us and inquisitive about understanding the challenges and opportunities our clients face. Be respectful - how we treat each other, and our clients says everything about who we are. We always act respectfully and treat people fairly in everything we do. Nurture talent - we aim to grow our own talent and make the company the place ambitious, hardworking and talented people choose to build their career. This means giving and taking stretch opportunities, taking risks, and committing to career development and support - for ourselves and our teams. Adaptable and nimble - Our size and flexibility is an advantage. We are big enough to support our client's various needs, and adaptable and nimble enough to respond quickly to changing conditions or requirements. A non bureaucratic, but well controlled environment fosters initiative as well as employee satisfaction. the company is fully committed to being an inclusive employer and providing an inclusive and accessible recruitment process for all. We will provide reasonable adjustments to remove any disadvantage to you being considered for this role. We value the differences that a diverse workforce brings to the company. We welcome applications from candidates returning to the workforce. Also, the company is committed to avoiding circumstances in which the appearance or possibility of conflicts of interest may exist within the hiring process.