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We'd all like amazing work to do, and real work-life balance. That's waiting for you at Sainsbury's. Think about the scale it takes to feed the nation. The level of data, transactions and variety involved. Then you'll realise this is a modern software engineering environment, because it has to be. We've made significant investment in the standards and principles that shape how we work. We iterate, learn, experiment and champion ways of working such as Agile, Scrum and XP. So you can look forward to exciting opportunities across everything from AI to reusable tech. Job Title / Role Information Security Analyst - Product Assurance Reporting to Information Security Manager - Sainsbury's Division/Dept Data Governance and Information Security Location Holborn, Coventry, Manchester (Flexible) In a nutshell As an Information Security Analyst in the Data Governance and Information Security Team, you will be working within the Product Assurance team who are responsible for ensuring our Engineering and Development communities are building and maintaining secure products through their entire lifecycle. You will be continually reviewing our security posture and setting the direction on how best to make improvements in line with the evolving threat landscape and core business objectives. The ideal candidate will have 4+ years' experience working within Information or Cyber Security and be passionate about continuous professional development. You will be asked to provide recent, industry respect certificates if successful at interview to demonstrate your ongoing education. Whilst this role isn't 'hands on' candidates are expected to have an in depth knowledge of security technologies and how these are integrated in monolithic and microservice architectures. What you need to do Work in a flexible, agile manner within Engineering Families, whilst maintaining appropriate levels of challenge and governance Ensure security is built in by design, products are delivered securely with client and employee data appropriately protected Define Security Non Functional Requirements for each project and ensure that they are fulfilled prior to going into service, ensuring the relevant technology standards are applied to specific projects Liaise with the Information Security Testing Team to ensure that Ethical Hacking, Code Reviews, Application Scanning, and Infrastructure Scanning is conducted. Provide end to end assurance of IT products across the Group, throughout its lifecycle, providing approvals where appropriate Articulate risk in technical and non technical terminology so that it can be interpreted by IT and Business individuals alike Help identify, assess, and manage strategic, operational and emerging risks affecting the Cloud and Data, and articulate, quantify and monitor risks according to risk appetite. Build and maintain strong senior stakeholder relationships within technology and the business to understand security risk and drive robust risk based decision making. Effectively articulate technical issues to business units and engineering teams. Liaise with third party strategic partners and providers who support Sainsbury's. What you need to know and show A strong technical understanding of security to ensure systems are designed and built securely and to help continually improve our security posture Appreciation of containerisation technologies such as Docker, Kubernetes etc. Fundamental knowledge of logging, monitoring, load balancing/proxies and API gateways Fundamental knowledge of GitHub, Jenkins & Jira Basic knowledge of the OWASP Top 10, Mitre ATT&CK, NIST frameworks, PCI DSS and Cyber Kill Chain Fundamental understanding of PAM, EDR, AV, IPS, SIEM, WAF and DLP technologies The ability to verify solutions and gain assurance that they are fit for purpose through demonstrable evidence of controls and testing Strong understanding of the changing threat landscape and how this may affect our systems The ability to challenge concerns and report through appropriate channels Self drive, motivation and the ability to work independently to deliver expected outcomes In depth understanding of data and security risks in a large enterprise Risk & Vulnerability Management experience and understanding of Risk & Vulnerability Management Frameworks Strong analytical and report writing skills. Experience with serverless cloud technologies such as AWS storage and Lambda functions. Desirable Qualifications You will have two (or more) of the following: CompTIA Security+, Network+, Linux+, Cloud+, Data+, DataSys+ CSA CCSK / CCAK AWS Certified Security Microsoft Azure Security Engineer Associate (ISC) CISSP / CCSP / SSCP ISACA CISA / CISM / CRISC / CGEIT MSc. Information/Cyber Security Benefits Colleague discount across our multi brands - Sainsbury's, Argos, TU Clothing and Habitat Holiday allowance Bonus scheme Pension plan Special offers on gym memberships, restaurants, holidays, retail vouchers and more Work life balance is important to us, so we offer our colleagues as much flexibility as possible in line with the needs of their role. We trust them to decide how, where and when they work, combining remote and collaborative working with a flexible approach to hours, giving them plenty of time and space for life outside of work whilst delivering against our business goals. We are committed to being a truly inclusive retailer, so you'll be welcomed whoever you are and wherever you work. Around here, there's always the chance to try something new - whether that's as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we'll also offer you an amazing range of benefits. Here are some of them: Starting off with colleague discount, you'll be able to get 10% off at Sainsbury's, Argos, TU and Habitat after 4 weeks. This increases to 15% off at Sainsbury's every Friday and Saturday and 15% off at Argos every pay day. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance related bonus of up to 10% of salary, depending on how we perform. Your wellbeing is important to us too. You'll receive an annual holiday allowance, and you can buy additional holiday. We also offer other benefits that will help your money go further such as season ticket loans, cycle to work scheme, health cash plans, pay advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an employee assistance programme. Moments that matter are as important to us as they are to you which is why we give up to 26 weeks' pay for maternity or adoption leave and up to 4 weeks' pay for paternity leave. Please see for a range of our benefits (note, length of service and eligibility criteria may apply).

Would you like to be instrumental in enabling the next generation of semi conductors? We're looking for an experienced C# Software Manager to lead our talented engineering team as we scale our cutting edge metrology products. This is a pivotal role where you'll combine hands on technical leadership with people management, shaping the software strategy and driving delivery across a growing cross functional organisation. If you thrive at the intersection of deep C# expertise, collaborative engineering culture, and real world impact, this one's for you. Reward and Benefits 25 days annual leave, death in service and private health care benefits, personal pension contributions of 4% with salary sacrifice and a generous EMI Share scheme Based in Abingdon, Oxford, UK, we are a high calibre team of 100 plus people and we are growing fast. We are backed by global financial and industry investors including Applied Ventures, the strategic venture arm of the industry leading equipment company. About the role A typical day for a C# Senior Software Manager could look like this: Leading sprint planning, estimation, and tracking for the C# team, keeping delivery realistic, visible, and aligned to the customer release process Coaching and developing team members: running 1:1s, appraisals, and supporting career growth in an inclusive environment Collaborating with architects, LabVIEW, Data Analysis, and Systems teams to manage cross functional dependencies and unblock delivery Engaging stakeholders across programme and applications teams, communicating delivery status clearly and supporting customer facing readiness decisions Reviewing code and reinforcing design patterns, MVVM architecture, and C# .NET best practice to keep quality high as the team scales Contributing hands on technically when capacity allows, staying close to the codebase and influencing architectural decisions Who we are looking for To succeed as a C# Senior Software Manager we do need you to bring: A minimum of 5 years' hands on C# software development industry experience People management or team leadership, including appraisals, career development, and recruitment Strong C# .NET architecture knowledge, including design patterns, MVVM, and threading models UI development with WPF or equivalent technologies Owning and communicating phased delivery plans: milestones, assumptions, dependencies, and confidence levels Agile or lean delivery in a multi disciplinary sprint based environment Communicating complex technical concepts clearly to both technical peers and non technical stakeholders Working with requirement traceability, design reviews, and Jira (or equivalent) from concept through to delivery Nice to have Managing software delivery in a cross functional environment with hardware dependencies LabVIEW integration or data streaming interfaces between LabVIEW and C# teams Low level communication protocols such as TCP sockets Additional programming languages such as Python Systems engineering understanding - able to engage with architects on interface definitions and safety requirements Working with external partners as part of overall software delivery Programme level planning tools, project management, or Jira administration Regulated or precision instrumentation environment background We look for the five Cs from our colleagues Customer Focused - Staying close to customer needs and consistently delivering value that builds trust. Caring - Creating a supportive environment where people look out for each other and can thrive. Collaborative - Sharing ideas openly, communicating clearly, and working together to solve problems. Commitment - Taking ownership, following through on promises, and acting with integrity. Continuous Improvement - Always learning, challenging the status quo, and improving how we work and deliver. Location and work pattern All of our new UK team members are asked to work on site here at Abingdon during their first three months with us. We offer flexible, hybrid working where possible upon completion of probation. We welcome applicants from all backgrounds and aim to create a fair, supportive recruitment process. To keep things clear, this role needs someone who already has the permanent right to work in the UK. If a role calls for unique expertise that's hard to find locally, we may explore sponsorship options - though this is uncommon.

Ref 85883 Programme England DXD IT Azure Cloud Support Specialist Level 3 Area of interest IT Working location 51 Old Hall Street, Liverpool, L3 9PP Salary £20,000 per annum Closing date 06/07/2026 About the role As an IT Support Apprentice, you will assist in delivering IT support services for game development specialists while gaining hands on experience across desktop support, service desk operations, and IT infrastructure, including game development kits, audio visual technology and telephony. You will work closely with experienced engineers, contributing to day to day support tasks and developing your technical and professional skills. Please note: Applicants must be 18 years old or over. Responsibilities Assist in providing IT support services to game development teams Support the service desk by logging, updating, and resolving tickets within agreed SLAs under supervision Help maintain day to day IT desktop support, including workstations, cabling, telephony, and software Assist with desktop related projects such as workstation upgrades, software deployments, and office moves Carry out installation and basic configuration of hardware and software Support the IT team in maintaining strong working relationships with the Development Studio Help monitor service performance against SLAs and report issues to senior team members Maintain accurate documentation of support activities and solutions What you'll learn Developing knowledge of desktop security and asset management processes Assisting with the management and distribution of IT peripherals Learning how to optimise desktop and workstation performance Gaining exposure to hardware and software selection processes Understanding IT and information security policies and how they are applied in practice Supporting the team in ensuring services align with current security policies and standards What we're looking for A strong interest in IT support and technology Basic understanding of desktop hardware, software, and operating systems (Windows, macOS, or Linux) Willingness to learn about service desk operations and support processes Good problem solving skills and attention to detail Strong communication and interpersonal skillsAbility to prioritise tasks and work effectively under guidance A proactive and customer focused mindset The following experience would be beneficial Exposure to IT environments or support roles (e.g., school, personal projects, or work experience) Basic awareness of infrastructure concepts (e.g., Active Directory, DNS, DHCP) Interest in the gaming or creative industry Awareness of ITIL or IT service management concepts Entry requirements 3 GCSEs (or equivalent) at grades 4+ (A-C) in any subject GCSE Maths and English (or equivalents) at grades 3+ (D or above) Prospective apprentices must not hold an existing qualification at the same or higher level as this apprenticeship is in a similar subject You may also have a combination of qualifications and experience which demonstrate the minimum foundation needed for the programme. In this instance you could still be considered for the programme. If you hold international equivalents of the above qualifications, at the time of your application you must be able to provide an official document that states how your international qualifications compare to the UK qualifications. For more information please visit the UK ENIC website. Working hours 37.5 hours per week, 9am to 5:30pm with a 1-hour unpaid lunch break. Benefits PlayStation perks such as free 1 st party games and free PlayStation Plus subscription Life assurance Income protection BUPA private medical & dental insurance 25 days annual leave per year, plus discretionary 3 day summer wellness break and discretionary shut down over Christmas Buy or sell up to 5 days holiday Family friendly parental leave policies Up to 35% off Sony brand products Subsidised on site café On site gym Free eye test and glasses voucher As well as a range of employee funded optional benefits

What you'll do Help to build cloud based services and applications that form part of our Group Content Platform. Participate in all stages of the software development lifecycle, from initial analysis & design to implementation (using C# & Java) and post launch support. Enhance and support existing production applications/platform and once sufficiently trained, provide support for production services. Responsible for helping shape and contributing to the technical direction, while delivering day-to-day in a delivery team. Collaborate with analysts, developers and testers within a dynamic scrum team and be actively involved in all aspects of the agile delivery cycle. What you'll bring Extensive system development knowledge with .NET (C#) and/or Java , SQL (e.g., Oracle, SQL Server) and NoSQL (e.g., Couchbase, MongoDB). Applied knowledge of software engineering best practice and software development methodologies (e.g., Scrum, design patterns, SOLID principles, Test Driven Development, Object Oriented design and implementation, APIs (REST etc.). Knowledge of using/setting up automated CI/CD pipelines (e.g., Concourse , Jenkins, Docker, Kubernetes etc.), as well as experience with configuration and build tools (e.g., Concourse , Jenkins, TeamCity and GitHub). Hands on experience working with automated testing frameworks (e.g. Pytest , Groovy, Spock, Playwright etc.). Experience working with systems that communicate asynchronously using message oriented middleware such as ActiveMQ or Kafka as well as familiarity with monitoring tools such as Prometheus and Grafana. Team overview Content Technology and Innovation team delivers high quality content to homes, customer devices, businesses and commercial partners across our European markets. With over 2500 colleagues from around the world, we combine our strategic insights, engineering know how and operational excellence to use the most innovative technologies to create and distribute our award winning content. The rewards Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate Discounted mobile and broadband A wide range of Sky VIP rewards and experiences We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. Your office space Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet.

At XPS Group we operate a hybrid/flexible working style. We are an equal opportunities employer and positively encourage applications from suitably qualified and eligible candidates regardless of sex, race, disability, sexual orientation, religion or belief. As part of our Disability Confident pledge, we run the 'Offer an interview' scheme at XPS. If you have a disability and meet the 'essential criteria' described in the person specification for the role being applied for, you are guaranteed an interview. Job details Contractual hours 36.25 Basis Full time Job category/type - XPS Pensions Date posted 19/01/2026 Job reference REQ003340 Location: London Employment Type: Permanent, Full Time Grade: Senior Associate/ Consultant Hybrid About XPS Group XPS Group is a prominent and growing UK consultancy and administration firm within the pensions and insurance sectors. As a FTSE 250 company with over 2000 employees, we leverage expertise alongside advanced technology to serve over 1,400 pension schemes and their sponsors. Our goal is to foster a workplace where diverse talents thrive. About the Role Our Data Analytics business continues to grow, and we are now looking for an experienced and technical MLOps Engineer to join our vibrant London office with hybrid working. This is an exciting role and would most likely suit someone with previous experience in a similar role where they have gained knowledge and experience of designing, building, optimising, deploying and managing business critical machine learning models using Azure ML in production environments. You must have good technical knowledge of Python, SQL, CI/CD and be familiar with Power BI. XPS Analytics is a specialist and multi disciplinary team consisting of actuaries, data scientists and developers. Our role in this mission is to pioneer advancements in the field of pensions and beyond, leveraging state of the art technology to extract valuable and timely insights from data. This enables the consultant to better advise Trustees and corporate clients on a wide range of actuarial related areas. Key Responsibilities Model development: Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision making processes, and improve client offerings. Machine Learning Operations: Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large scale data efficiently. Implement and maintain monitoring of model drifts, data quality alerts, scheduled re training pipelines. Data Management and Preprocessing: Collect, clean and preprocess large datasets to facilitate analysis and model training. Implement data pipelines and ETL processes to ensure data availability and quality. Software Development: Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control, testing and code review. Work closely with actuarial analysts, actuarial modelling team (AMT) and other colleagues in XPS to integrate data science findings into practical advice and strategies. Stay abreast of new trends and technologies in data science and pensions to identify opportunities for innovation. Provide training and support to other team members on using machine learning tools and understanding analytical techniques. Interpret and explain machine learning concepts and findings to other members of the analytics team and non technical stakeholders within XPS. Your Profile Previous experience in designing, building, optimising, deploying and managing business critical machine learning models using Azure ML in production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity with data visualisation and reporting tools, ideally PowerBI. Good written and verbal communication and interpersonal skills. Ability to convey technical concepts to non technical stakeholders. Experience in the pensions or similar regulated financial services industry is highly desirable. Experience in working within a multidisciplinary team would be beneficial. What We Offer Enjoy a competitive salary, annual discretionary bonus, and 25 days' holiday with buy/sell flexibility. Benefits include pension matching, healthcare plans, life assurance, and retailer discounts. We support our team with a flexible benefits scheme, employee assistance, and digital GP service. Participation in volunteering events is encouraged with paid volunteer days available. Referral bonuses are offered for introducing suitable candidates to XPS. Benefits Statement Any employment offer made will be conditional upon you satisfying DBS Disclosure checks, Employment or educational references, Satisfactory credit checks and eligibility to work in the UK before an offer can be made. XPS Group is not able to provide sponsorship to employees.

About you You'll be joining the Developer Experience team as an AI Enablement Engineer. Reporting to the Engineering Manager, you'll be part of a fast growing business that is challenging the market and doing things differently. You are a strong mid level engineer who enjoys improving how software is built, not just delivering code in isolation. You are curious about AI, practical in how you apply it, and focused on helping teams use it safely and effectively in real engineering workflows. You enjoy collaborating with other engineers, understanding how they work, and sharing approaches that improve productivity, quality, and developer experience. You are happy being hands on, while growing your ability to influence engineering practices more broadly. You are comfortable working in a regulated environment and understand that enablement must be balanced with appropriate governance and controls. You will be Supporting the effective and responsible use of AI across ClearBank's software engineering teams. Working day to day with engineers to guide how AI can be applied within real delivery workflows. Helping teams embed AI into the SDLC in ways that improve productivity, quality, and developer experience. Contributing to practical guidance, examples, and playbooks that help teams adopt AI with confidence. Partnering with stakeholders to ensure adoption is evidence based and aligned to engineering outcomes. Operating with a pragmatic mindset that supports progress while meeting regulatory and risk expectations. What you will be doing Using and evaluating AI tooling used in software engineering, including copilots, assistants, and workflow integrated capabilities. Collaborating directly with engineering teams to improve how AI is used in coding, testing, review, debugging, and documentation. Sharing effective patterns, techniques, and examples that engineers can adopt in their day to day work. Identifying friction points and opportunities for improvement in current engineering workflows. Supporting the rollout of new AI tools, techniques, or approaches into the engineering community. Contributing to defining and tracking meaningful success measures such as adoption signals, developer experience indicators, and quality outcomes. Working with Security, Model Risk, and other partners to ensure tooling and usage align with ClearBank's governance expectations. Occasionally building or extending lightweight tooling, automation, or workflow enhancements needed to support AI adoption. What we are looking for Strong background in software engineering, platform engineering, DevEx, or DevOps. Hands on experience using AI assisted development tools in real engineering environments. Experience collaborating with delivery teams to improve practices and outcomes. Ability to assess tools and approaches based on evidence, practicality, and impact. Strong communication skills, able to explain technical concepts clearly to engineers and stakeholders. Outcome driven, curious, and pragmatic in approach. Comfortable working across ambiguity and change. Collaborative and empathetic, with a genuine interest in enabling others to succeed. Exposure to CI/CD pipelines, internal developer platforms, or SDLC tooling is desirable. Familiarity with engineering productivity or quality metrics is beneficial. Exposure to governance, security, or risk stakeholders in a regulated environment is advantageous. About what we offer Flexible working philosophy, empowering employees to manage their time in a way that allows them to meet both work and personal commitments, in partnership with their line manager. Spacious and well equipped new offices in London. 27 days annual leave per year, plus flexible bank holidays. Option to work abroad for up to 30 days in a 12 month rolling period. Regular company wide socials. Opportunity to volunteer with a chosen charity for a couple of days per year. Private healthcare and discounted dental cover, with employee healthy living perks and discounts. Enhanced family friendly leave. Plus, you'll have the opportunity to join an innovative team that's building a bank fit for the future! Equal Opportunities ClearBank is committed to ensuring equal opportunities throughout every stage of the recruitment process. ClearBank recognises that diversity is vital to the long term success of the business in the communities and markets in which it operates. ClearBank is also a firm believer that an inclusive culture fosters greater employee engagement and collaboration. ClearBank strives for diversity and inclusion of all forms, including (but not limited to): gender, age, educational and professional background, disability, gender re assignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief and sexual orientation. As part of the Company's commitment to equal employment opportunity, we provide reasonable adjustments to candidates during the recruitment process, including to individuals with disabilities. We want to create a safe space that welcomes everyone so please let us know how we can accommodate you. In case you have any accessibility requirements you can share that with our Talent Acquisition team prior to your interview stage, if applicable. The legal bit By submitting your CV to ClearBank Limited you are providing your consent for us to use the information you provide for recruitment purposes. For more information on how we manage your data go and check out our Candidate Privacy Notice on the ClearBank website to see how we process, manage and look after your data. You are also allowing us to communicate with you by e mail and telephone for recruitment purposes.

Job Description Take on a crucial role where you'll be a key part of a high-performing team delivering secure software solutions. Make a real impact as you help shape the future of software security at one of the world's largest and most influential companies. As a Security Engineer III - Cloud and Infrastructure at JPMorgan Chase within the Cybersecurity & Technology Controls, you are an integral part of a team that works to deliver software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behavior. As a core technical contributor, you are responsible for carrying out critical technology solutions with tamper-proof, audit defensible methods across multiple technical areas within various business functions. Job Responsibilities Design, implement, and maintain security solutions for an enterprise-scale environment Understand the functions of systems engineering, systems integrations, and systems administration roles Execute on key deliverables in the security engineering space Design and develop production deployments with the ability to think beyond routine or conventional approaches in order to deliver technology solutions for key stakeholders Develop secure and high-quality production code and review and debug code written by others Implement complex business logic in Python, Bash, PowerShell, and other scripting languages Engage effectively with third-party vendors in communicating and collaborating with a broad range of internal teams Minimize security vulnerabilities by following industry insights and government regulations to continuously evolve security protocols, including creating processes to determine the effectiveness of current controls Work with stakeholders and business leaders to understand security needs and recommend business modifications during periods of vulnerability Required Qualifications, Capabilities, And Skills Formal training or certification on security engineering concepts and proficient applied experience Experience with cloud engineering, deployment engineering, DevOps engineering, or equivalent Specific experience deploying commercial software at scale into an enterprise environment Demonstrated skills in planning, designing, and implementing enterprise level security solutions Demonstrate strong working knowledge of Windows and Linux systems internals Strong experience defining and implementing infrastructure as Code (IaC), working with CI/CD pipelines, and associated automation tooling Commanding knowledge of a programming/scripting language for automation and integration tasks Proficiency in all aspects of the Software Development Life Cycle Proficient in cloud technologies (e.g., AWS security) Strong analytical experience with problem solving mindset and the ability to solve complex challenges Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Preferred Qualifications, Capabilities, And Skills Cloud computing related certifications with an AWS focus are strongly preferred (i.e., Certified Solutions Architect, DevOps Engineer, etc.) or similar Experience effectively communicating with senior business leaders 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.

Recruiter: Mark Thomas Hiring Manager: Katy Parsons Career Grade: D Internal Closing Date: 17/06/2026 About the role Our purpose is to use the power of communication to make a better world. For each other, for our customers, for society and our communities. This role supports the successful Test and integration of new systems, products, services, and validation campaigns to assure the quality of the deliveries on behalf of EE and its customers, through technical and commercial launch. This is a great opportunity to gain exposure to a variety of networks and the innovation in what we do including access to new technologies. You will be part of a friendly and supportive team who deliver projects and services for our customers through the comprehensive testing of our mobile network technologies and innovations. This role will be based in London or Bristol and our hybrid working model means you are expected to be in the office 3 days per week. This role will require occasional travel to Borehamwood. What you'll be doing Plan and oversee full lifecycle of Platform and integration testing to support complex product and solution deliveries. Identifying what testing tools and technologies can be implemented, aligning with those already used across the broader design and development functions and those being developed by our strategic technology partners. Taking accountability for the verification of new or modified Core Platforms or services being introduced in the Lab & live environments as part of the handover to operations. Responsible for day to day management of test execution, Test case prioritisation where required, defect management and troubleshooting. Feeding into Test reports and daily progress statistics. Responsible for analysing and assessing technical and business requirements, supplier release notes etc to create a testing scope for Lab and live testing. Writing detailed Test cases in Jira for execution. Ability to communicate effectively with various stakeholders, in a technical and non-technical way, as appropriate to the audience, focussing on key information that will allow informed decisions and action to be taken. Work closely with Test Automation teams to assess opportunities for new automation development, assist in the design and development of test automation scripts, and drive automation tool to achieve increase in automation. Work with the Environment delivery, data and support teams to ensure test and delivery requirements are met, ensuring suitable environments and data is available to effectively support test campaigns in a timely manner. Provide technical expertise, documentation and training to test and other business functions, including coaching and development of junior members of the test team. Stay up to speed on process, practice and technology developments to ensure they are adopted to enhance the solutions applied to technical and business requirements. Ability to work with internal and external design and development teams/suppliers to assess and implement new technologies/delivery methodologies to drive continuous improvement and efficiency e.g., CICD, DevOps, Agile, Waterfall. Essential Skills / Experience Good working knowledge within mobile communications industry with knowledge of 2G/4G/5G & 5GSA technologies, their end to end flows and Interfaces. Experience of integration & acceptance testing of Mobile Core platforms. Hands on experience of integrating and end to end testing of Mobile network services (e.g. Voice, SMS, MMS & Data), with good knowledge of Core network elements. Knowledge of Core Network - PGW, SGW, MME, SGSN, ePDG etc and associated signalling protocols (mainly SIP, DIAMETER, ISUP, MAP 3GPP standards etc.). Desirable Skills / Experience Knowledge & Experience of working with Jira, Confluence & GitLab. Experience of working & delivering within Waterfall and Agile methodology. Strong technical knowledge, capable of taking lead role in coordinating and progressing technical investigations, using troubleshooting techniques, and in depth investigations to enable effective triage from start to successful conclusion. Ability to work under pressure and to assist peers in same situation whilst ensuring time, cost and quality requirements are maintained. Experience with monitoring tools like Wireshark, Netscout, Ericsson CNOM (Core network Operations manager) etc. Nice to have skills: Experience in Test Automation, DevOps, CI CD and leveraging these to achieve faster testing turnaround times and quality software delivery to the production environment. Knowledge & Experience in Cloud Computing Technologies like Kubernetes, EMS, VNF, NFVI. Experience with Automation test framework tools like SEGRON, Perfecto, Landslide. Our Package 10% on target annual bonus Access to an online private GP 24/7 for you and your immediate family Market-leading paid carers leave with up to 2 weeks off Equalized maternity, paternity, and adoption leave - 18 weeks' full pay and 8 weeks' half pay Discounted EE and BT products, including mobile and broadband Market leading Pension scheme - 5% from you and 10% from us Holiday purchase scheme

Accelerate your development and exposure to high performancefinancialservicesdigital and AI solutions.JoinSedonaDigital, a fast-growingtechnology services providerspecialisingin the UK Insurance and Banking sector. Our global client baseand internal services delivery roadmap demanda wide range of capabilities. Business architects, product owners,PMsand architects leading ourprojects. Engineers,developersand QAswho love technology, have deepexpertisein software,dataand cloud technologiesto deliver value fast, witha passion for culture and customers. We obsess about our customers We build outstanding technical solutions We create an awesome culture We accelerate learning and career Your responsibilities will include Help our sales and presales solutions teamtowin new contracts by engaging with Insurancebusinessleads to map business value delivery, through process improvement to project scope and backlog with our techs. Help lead customerproject delivery as a part time BA/product owneron Insurance business solution transformations. Own the internal and customer-facingbusiness use case catalogues(and value deliveryreporting)as part of our AIroadmap team, and Insurance solutions portfolio. Activities will include Analyze and map currentto targetbusiness processeswith improvements/augmentations that include applied AI. Translate business needs into clear, actionable user stories and acceptance criteriavia 'drivertrees'. Determinemonitoring criteria for improved processperformance and value. Facilitate workshops and meetings with stakeholders and technical teams. Prepare functional specifications and process documentation. Supporta dedicatedproduct owner in backlog grooming and prioritization, or ownuse-case/business functional backlogfor smaller projects, using common backlog tools (e.g.Jira or Azure DevOps). Validate solutions against business requirements through user acceptance testing (UAT). Act as a liaison between business and technical teams throughout the project lifecycle. Provide ongoing support and training to end users. Assistinchangemanagement and adoption activities. Qualifications 5years'workingwithinUKinsurance sectorbusiness processes and applications. 3 years'workingas aBusiness Analystor Product Ownerforapplication or ITsoftware development projects. 6 months of experience'workingwithAIto augment or automate businessprocess. Demonstrable, provenability to elicit, analyze, and document business requirements and processes. Hands-on experience with Agile methodologies and active participation in Agile ceremonies (e.g., sprint planning, retrospectives, backlog grooming). Exceptional communication and stakeholder management skillswith gravitas to leadworkstreams and engage with C-suite. Self-motivated with the ability to work independently and lead BA/POactivities within a multidisciplinary team. Strong problem-solving skills and attention to detail. Comfortable working in a fast-paced, changing environment. Benefits Hybrid Work Opportunity to work in a rapidly growing scale-uporganisation Exposure to complex, global client engagements Training on market trends and client needs Ongoing learning and development opportunities Competitive compensation package Fun budget for team events

About Magentic At Magentic, we're building AI systems that can autonomously run complex procurement and supply chain workflows for some of the world's largest companies. We're tackling a genuinely hard real world problem, helping global manufacturing supply chains become more resilient in an increasingly unpredictable world. It's a massive space with huge untapped potential for AI. We're an early stage company backed by Sequoia Capital, with a team bringing experience from OpenAI, Meta, Revolut, NASA and McKinsey & Company. The Role In this role you will apply LLMs and AI tooling to large scale, messy, real world datasets, solving operational problems where the answers aren't obvious and the impact is very tangible. You'll work with Python, notebooks, LLMs, and structured thinking to dig into complex enterprise data, uncover insights, automate workflows, and prototype intelligent systems quickly. The ideal candidate is highly curious, pragmatic, and comfortable operating in ambiguity. You don't need to be a production software engineer, but you must be technically capable, thoughtful, and able to independently execute meaningful work. What You'll Do: Work with large, messy, real world enterprise datasets Apply LLMs and AI tooling to operational and analytical problems at scale Build data workflows and experiments using Python and Jupyter notebooks Run and analyse large scale queries and model outputs Prototype and iterate quickly on AI driven approaches Work closely with product, engineering, and founders on exploratory projects Translate ambiguous problems into structured investigations and solutions Help shape how AI is applied across procurement and supply chain workflows You Might Be a Great Fit if You Have 3+ years of hands on experience in data science, applied AI, analytics, or similar work Or a strong academic background (e.g., Master's in Data Science, Machine Learning, Statistics, Mathematics, Computer Science, Physics) combined with 1-2 years of industry experience Have strong Python skills Have experience working in Jupyter notebooks Be familiar with LLMs, AI tooling, or applied machine learning workflows Have strong analytical and problem solving ability Comfort working independently on open ended problems Practice pragmatic solutions rather than over engineering Be curious and enthusiastic about AI native ways of working Bonus Points Experience applying LLMs to real world datasets Experience with vector databases, embeddings, or retrieval systems Exposure to operational or enterprise data environments Background in highly analytical disciplines such as medicine, physics, maths, or engineering Compensation And Benefits Competitive equity: play a real part in Magentic's upside A salary of £60-70k Enhanced parental leave 25 days holiday plus a bank holiday, plus an extra day for our Christmas shutdown In office lunches provided Monthly organised socials and an additional flexible monthly social budget for team lunches, coffees, dinners, or activities with colleagues Salary sacrifice pension and nursery schemes Hybrid London HQ (WFH Thurs and every other Tues, with flex if you have appointments etc) Annual team retreat - a fully funded off site to recharge, bond, and build Equal Opportunities and Accommodations Statement Magentic is committed to creating a diverse and inclusive workplace and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender reassignment, marital or civil partnership status, age, disability, pregnancy or maternity, or any other basis as protected by the Equality Act 2010. We actively encourage applications from candidates of all backgrounds and cultures and believe a diverse workforce enhances our ability to deliver innovative solutions. Magentic is dedicated to providing reasonable accommodations to job applicants with disabilities. If you require any adjustments during the recruitment process, please indicate this in your application or contact us directly.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Full-Stack Software Engineer, Applied AI based in United Kingdom. This is a high-impact engineering role at the intersection of full stack product development and applied artificial intelligence, where you will help shape and ship AI powered features used at scale. You will work across a modern web stack to build end to end AI experiences, from backend services and data pipelines to frontend interfaces that surface intelligent functionality. The role focuses heavily on experimentation, iteration, and real world impact, particularly through the use of large language models and production AI systems. You will contribute to building AI agents, retrieval augmented generation systems, evaluation frameworks, and infrastructure for reliable LLM inference. Working closely with product, design, and engineering leadership, you will help translate ideas into tested, measurable product improvements. The environment is fast moving, highly autonomous, and built around strong ownership and continuous learning. Accountabilities: You will design, build, and optimize full stack AI features end to end while contributing to experimentation, system reliability, and continuous product improvement across AI powered experiences. Ship full stack AI features using Ruby on Rails and React across production systems Design and run experiments, including A/B tests and AI evaluations, to measure feature impact Build and maintain AI infrastructure components, including LLM based systems and inference workflows Develop and improve RAG systems, AI agents, and other applied LLM based solutions Optimize performance, scalability, and reliability of AI driven features in production Collaborate closely with product managers, designers, and engineering peers to define feature direction Continuously improve engineering processes and tooling to support rapid AI iteration Stay current with emerging AI research and translate insights into practical implementations Ensure high standards of code quality, system design, and user experience across releases Requirements: You bring strong full stack engineering experience at scale, combined with hands on exposure to building and shipping AI powered features in real production environments. You are comfortable working across ambiguity, experimentation, and fast iteration cycles. 6+ years of experience as a full stack engineer on high traffic production applications Strong proficiency in Ruby on Rails, ReactJS, and relational databases (PostgreSQL/MySQL) Hands on experience building production AI features such as RAG systems, AI agents, or LLM powered tools Proven ability to design and run experiments (A/B testing, evaluation frameworks, iterative product testing) Strong understanding of backend and frontend systems, with ability to work across the stack Experience working in scalable, performance sensitive environments Comfort operating in fast paced, ambiguous environments with evolving requirements Strong collaboration skills and ability to work closely with cross functional teams Excellent English communication skills (written and verbal) Strong bias toward action, experimentation, and measurable outcomes Benefits: Fully remote work from anywhere Competitive compensation with regular performance reviews and equity opportunities 35 days of paid time off annually Paid sabbatical after 5 years of service Comprehensive medical coverage for employees and eligible family members Home office setup stipend Learning and development budget for professional growth Annual company retreats in international locations Parental leave and family support benefits Strong autonomy with a high trust, outcomes focused culture Inclusive, global team environment with diverse backgrounds and perspectives

Job Description: Salary: £59,500 - £75,000 Leonardo UK operates a grade-based salary framework with broad bands. The salary range shown reflects the approved grade band for this role, or a narrower hiring range published within that band, and is benchmarked against the external market. Exceptions above the standard range are managed through governance controls to protect internal equity. Your Impact There is a need for a Lead Systems Engineer / Specialist to work on Radar Mode development within the Mk0 Systems Engineering Team. A core element of the role is leading the development of algorithms for the Signal Processor, and the successful applicant will also be expected to take on a broad involvement in all aspects of radar operation and processing. In addition, this role will also require direct collaboration with our EuroRADAR partners. The Systems Engineering team operate across the full lifecycle, and so the work will span Mode model development, requirements & algorithm definition, design change management, software implementation support, integration support, trials support & analysis, and verification & validation. This will be a highly visible role in a programme that is in its most exciting phase, currently in active service with export customers and progressing at pace through capability and maturity upgrades. The dynamic, fast paced and full lifecycle nature of the role makes this an ideal springboard for candidates aspiring to develop towards becoming a Chief Engineer. What you'll do Lead the Mk0 Radar Modes team (a sub team within Mk0 Systems Engineering) Own the maturation and development of all Mk0 Radar Modes, maintaining the plan for routemap of development work on these modes and leading their team to successfully deliver the routemap. Carry out the full range of activities associated with radar mode design and verification / validation. Play a leading role in support to planning of trials activity (ground rig and flight trials), specifically for radar modes, and perform analysis on the resulting trials data. Develop design solutions to address problems and capability gaps. Present analysis results and proposed design updates to stakeholders and successfully lead design updates through the change process. Take ownership of the configuration and maintenance of models and analysis tools, along with supporting documentation. It is expected that this role will require active involvement in design and development activities for Radar Modes, although some of this will be delegated to engineers within the team. As the Lead Engineer / Specialist, the successful applicant will also be expected to coach and develop this team and have overall ownership of the technical design and delivery in this area. What you'll bring On top of an Engineering/Physics/Applied Maths or equivalent background, and ideally Radar Systems Engineering or Signal Processing experience, the successful candidate will demonstrate good coverage across the following attributes. Possess a good knowledge of radar principles and associated processing techniques, particularly of signal processing and associated detection theory. Be able to provide a focus on signal processing, but with a good understanding of other aspects of the system including radar control and tracking, and how these interact. Experience of supervising a team of Systems engineers Know how to build and maintain complex systems models and analysis tools. Demonstrate the skills to perform data analysis of large data sets, using automated processing where appropriate. Possess good investigative and problem solving skills. In-depth experience of presenting to and influencing stakeholders from all functions and levels, based on strong technical competence and good reasoning skills. Proven experience in roles requiring sound engineering judgement whilst operating in a fast paced environment, balancing this with technical rigour and quality in the design solution. This is not an exhaustive list, and we are keen to hear from you even if you do not feel you have depth of experience across all areas in the above. Security Clearance This role is subject to pre employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company funded benefits package that supports your wellbeing, career development, and work life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we're here to help you thrive. Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi days each year. Secure your Future: Benefit from our award winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance: All employees at management level and below are eligible for our bonus scheme. Never Stop Learning: Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks: Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role. For a full list of our company benefits please visit our website. Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team-they are key contributors to shaping innovation, advancing technology, and enhancing global safety. At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know. Primary Location: GB - Edinburgh Additional Locations: GB - Newcastle Contract Type: Permanent Hybrid Working: Hybrid

Lead Systems Engineer - MKO Radar ModesApplylocations: GB - Edinburgh: GB - Newcastletime type: Full timeposted on: Posted Todayjob requisition id: R Job Description: Salary: £59,500 - £75,000Leonardo UK operates a grade-based salary framework with broad bands. The salary range shown reflects the approved grade band for this role, or a narrower hiring range published within that band, and is benchmarked against the external market. Exceptions above the standard range are managed through governance controls to protect internal equity. Your Impact There is a need for a Lead Systems Engineer / Specialist to work on Radar Mode development within the Mk0 Systems Engineering Team. A core element of the role is leading the development of algorithms for the Signal Processor, and the successful applicant will also be expected to take on a broad involvement in all aspects of radar operation and processing. In addition, this role will also require direct collaboration with our EuroRADAR partners.The Systems Engineering team operate across the full lifecycle, and so the work will span Mode model development, requirements & algorithm definition, design change management, software implementation support, integration support, trials support & analysis, and verification & validation.This will be a highly visible role in a programme that is in its most exciting phase, currently in active service with export customers and progressing at pace through capability and maturity upgrades. The dynamic, fast-paced and full-lifecycle nature of the role makes this an ideal springboard for candidates aspiring to develop towards becoming a Chief Engineer. What you'll do Lead the Mk0 Radar Modes team (a sub-team within Mk0 Systems Engineering) Own the maturation and development of all Mk0 Radar Modes, maintaining the plan for routemap of development work on these modes and leading their team to successfully deliver the routemap. Carry out the full range of activities associated with radar mode design and verification / validation. Play a leading role in support to planning of trials activity (ground rig and flight trials), specifically for radar modes, and perform analysis on the resulting trials data. Develop design solutions to address problems and capability gaps. Present analysis results and proposed design updates to stakeholders and successfully lead design updates through the change process. Take ownership of the configuration and maintenance of models and analysis tools, along with supporting documentation.It is expected that this role will require active involvement in design and development activities for Radar Modes, although some of this will be delegated to engineers within the team. As the Lead Engineer / Specialist, the successful applicant will also be expected to coach and develop this team and have overall ownership of the technical design and delivery in this area. What you'll bring On top of an Engineering/Physics/Applied Maths or equivalent background, and ideally Radar Systems Engineering or Signal Processing experience, the successful candidate will demonstrate good coverage across the following attributes. Possess a good knowledge of radar principles and associated processing techniques, particularly of signal processing and associated detection theory. Be able to provide a focus on signal processing, but with a good understanding of other aspects of the system including radar control and tracking, and how these interact. Experience of supervising a team of Systems engineers Know how to build and maintain complex systems models and analysis tools. Demonstrate the skills to perform data analysis of large data sets, using automated processing where appropriate. Possess good investigative and problem-solving skills. In-depth experience of presenting to and influencing stakeholders from all functions and levels, based on strong technical competence and good reasoning skills. Proven experience in roles requiring sound engineering judgement whilst operating in a fast-paced environment, balancing this with technical rigour and quality in the design solution.This is not an exhaustive list, and we are keen to hear from you even if you do not feel you have depth of experience across all areas in the above. Security Clearance This role is subject to pre-employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work-life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we're here to help you thrive. Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year. Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance : All employees at management level and below are eligible for our bonus scheme. Never Stop Learning : Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks : Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role.For a full list of our company benefits please visit our website.Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team-they are key contributors to shaping innovation, advancing technology, and enhancing global safety.At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know.Be part of something bigger - apply now! Primary Location: GB - Edinburgh Additional Locations: GB - Newcastle Contract Type: Permanent Hybrid Working: Hybrid

About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on premises or in cloud environments. Our offerings include Vibe, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low ego and team spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on Role summary We are seeking strong Software Engineers with cybersecurity experience to build and productionize our cybersecurity product offering. You will turn cutting edge prototypes into robust, scalable services that power both our offensive and defensive security capabilities. Your work will directly enable Applied to deploy at client sites while giving Science the infrastructure to train against. You'll orchestrate red team/blue team agent loops, build on Mistral's corporate stack, and create the connectors, worker scaling, and SDKs that transform demos into production grade services. This is a unique opportunity to shape how AI powered cybersecurity operates at scale. What you will do Cyber Harness Productionization Build and productionize the cyber harness and service prototype, turning research into deployable solutions Orchestrate red team / blue team agent loops: find vuln patch redeploy re-test Develop the context engineering that enables autonomous security workflows Create connectors, worker scaling mechanisms, SDKs, and packaging that make demos into services Mistral Stack Integration Build on Mistral's corporate stack: Workflows (temporal style orchestrator) and Vibe Work with containers/Kubernetes to deploy and scale cyber capabilities Leverage Mistral Models to power agentic security workflows Migrate existing prototypes onto our production infrastructure Service Engineering Design and implement the engineering foundation that enables Applied to deploy at clients Create the infrastructure Science can train against for continuous improvement Ensure the cyber harness is robust, scalable, and maintainable Collaborate with security and engineering teams to integrate cyber capabilities About you Strong software engineer with hands on experience building cybersecurity products or tooling Comfortable with agentic / LLM orchestration and context engineering Builder mindset with a track record of shipping production quality code Experience with distributed systems and service architecture Strong problem solving abilities and attention to detail Excellent communication skills and collaborative attitude It would be ideal if you also have: Red teaming, offensive tooling, or harness building background Experience with orchestration internals (Temporal, Workflows, or similar) Prior experience building a "harness for X/Y use case in cybersecurity" or similar agent system Infrastructure knowledge: containers & Kubernetes to move fast Experience with AI/ML systems in security contexts Contributions to open source security or orchestration tools Location & Remote This role is primarily based at one of our European offices (Paris, France and London, UK). We will prioritize candidates who either reside there or are open to relocating. We strongly believe in the value of in person collaboration to foster strong relationships and seamless communication within our team. In certain specific situations, we will also consider remote candidates based in one of the countries listed in this job posting - currently France & UK. In that case, we ask all new hires to visit our local office: for the first week of their onboarding (accommodation and travelling covered) then at least 3 days per month What we offer Competitive salary and equity Health insurance Transportation allowance Sport allowance Meal vouchersPrivate pension plan Generous parental leave policy Visa sponsorship

Your tasks Commerzbank Corporates clients (CC) is the integrated Corporate and Investment Banking division of Commerzbank AG. CC provides corporate and institutional clients with a broad range of commercial and investment banking products. It is active in Europe's most important markets with main offices in Frankfurt and London. The business incorporates capital markets activities in commodities, interest rates and foreign exchange with a strong focus on derivatives. It provides clients with capital and debt raising solutions and offers its customers access to a broad range of investment and risk management products across all major asset classes. The Commodity trading team within Financial Markets (FM) is a product specialist team with the responsibility of Market making and risk managing the whole Commodity products suit of the bank. This includes Precious metals, Base metals, Oil & Gas, Power, Carbon and Agricultural products. Our clients are corporates who manage their commodity price risk; and their banks that act as their counterparties when Commerzbank has no relationship with the end-client. We provide tailor made Commodity hedging solutions to our clients across the globe. We design complex Commodity trading strategies to maximize the value of our client franchise and optimize the P&L for the bank. Main purpose of the role: Commerzbank is seeking a highly skilled Data Scientist to join the Commodity Trading Desk as an intern and support the team in enhancing data availability, automation, and analytical capabilities across several commodities trading areas. The role is focused on the design and development of Python-based tools and AI-driven prototypes to streamline front office workflows, improve the timeliness and quality of trading information, and drive innovation in trading strategies. This is a highly applied role with a strong focus on the commodities market. Key activities Tool Development and Automation: Design and develop Python-based tools and AI-driven prototypes to automate and streamline front office workflows. Build and maintain GUIs/dashboards that display continuously updated quotes and market information. Apply and promote Commerzbank Python code design rules and good software engineering practices, ensuring clean structure, readability, and maintainability in code written for and with colleagues on the desk. AI Integration and Optimization: Demonstrate the use of agentic AI capabilities to support and optimize code development for team members, including using AI to refactor, document, and debug code. Implement and share optimization techniques for code performance and development workflows, helping colleagues improve the efficiency and robustness of their tools. Collaboration and Business Alignment: Work closely with traders, quants, and other front office staff to identify relevant data sources, clarify requirements, and iterate on prototypes to ensure tools are aligned with real business needs. Document solutions, provide structured handovers, and support users in testing and integrating tools into their daily processes. AI Adoption and Training: Help the Commodities desk onboard and use AI tools available within the bank, including: Explaining available AI services and practical use cases. Providing guidance on prompt design and best practices. Highlighting limitations and control mechanisms. Offering ongoing support during initial adoption. Organizational and Communication: Gather requirements from traders and other stakeholders and translate them into clear technical specifications. Communicate complex technical topics in an accessible manner to non-technical stakeholders. Onboard and support the various Commodity desks in the practical use of AI tools, including training sessions and demonstrations. Key requirements Graduated in the last 12 months or graduating in 2026. The successful candidate is likely to be educated to degree level in Data Science, Computer Science, Statistics, Mathematics, Engineering, Physics, Quantitative Finance. Technical Skills: Excellent numerical and analytical skills. Solid problem-solving abilities. Strong Python programming skills, including data processing, automation, API integration, and basic GUI/dashboard development. Practical experience with Large Language Models (LLMs) and LLM-based services, including prompt design and iterative refinement, evaluation and comparison of model outputs, integration of LLMs into data pipelines and tools. Ability to build software prototypes/Proofs of Concept (PoCs) and develop them into robust, stable tools. Familiarity with real-time or near real-time data processing from unstructured sources such as chat streams. Market Knowledge: Basic understanding of financial markets and commodities products sufficient to understand pricing information, quote structures, and trading workflows. Business knowledge from a previous internship within Financial Services is a plus. Solid understanding of derivatives products at a theoretical and practical level. Software Engineering Practices: Experience with coding standards and version control; adherence to internal Python design principles. Analytical and Problem Solving Skills: Ability to analyze loosely defined business problems and translate them into clear technical requirements. Structured approach to experimentation (e.g., prompt tuning, model selection, error analysis). Capability to design workflows that combine automated processing with appropriate human oversight to ensure data quality and control. Organizational and Communication Skills: Strong verbal and written communication skills. Team player. Ability to communicate complex technical topics in an accessible manner to non-technical stakeholders. Coordination with multiple desks and prioritization of tasks under time constraints.

Ernst & Young Advisory Services Sdn Bhd is looking for an individual to join their Applied AI Engineering teams in London, engaging in AI services architecting and implementation leadership with potential client travel. Responsibilities include shaping engineering approaches, mentoring engineers, and driving best practices. Candidates should have expertise in software engineering, applied-AI, and cloud architecture, ideally with a PhD in a related field. The role promotes a hybrid work environment with a focus on diverse client sectors.

Senior Full Stack Engineer, Agentic Security About Dynamo AI Dynamo AI is building the future of trustworthy AI for the enterprise. Our platform provides real-time guardrails, red-teaming, and observability for generative and agentic AI systems-ensuring safe, compliant, and reliable deployments across regulated sectors such as financial services, insurance, healthcare and government. We're backed by leading partners and rapidly expanding with some of the world's most sophisticated enterprises. Our products are in production at some of the largest institutions in the world (including Intel, Lenovo, Experian, and the US Army), actively unlocking AI deployments. We're well recognized and well funded (>$30M raised), with offices in NYC, SF, Bangalore, and a European office planned to open soon. The Agentic Security Team builds the product and infrastructure behind Agent Warden - a security layer for agentic systems that detects risk patterns, enforces guardrails, and gives teams visibility into what their AI agents are actually doing. We ship backend services, frontend dashboards, CLI tools, and the deployment infrastructure that runs them. We work in tight loops with the Applied Research team, turning their insights into production systems. You can see what we're building here . You'll build and own the production systems behind Agent Warden - the backend services, frontend dashboards, CLIs, and deployment infrastructure that make the product work end-to-end. You'll ship features fast, keep things simple, and make the systems reliable enough for enterprise customers to depend on. You can see what we're building here . This is a full stack, backend heavy role with a strong agentic development philosophy. We develop using AI-assisted workflows (Cursor, Claude Code, agent skills) as a first-class part of how we build software - not as an afterthought. You'll be expected to be highly productive in this mode of working. In this role you will: Own end-to-end multiple backend services - APIs, data pipelines, shared libraries, and ML-adjacent packages (Python, FastAPI, NestJS) Build frontend dashboards and UIs with clean DOM rendering, efficient state management, and solid UX principles (React, TypeScript) Design and work with data models and migrations (PostgreSQL), and caching layers (Redis) Contribute to CI/CD and deployment infrastructure (Dockerfiles, Helm charts, GitHub Actions, K8s, AWS) and own release cycles end-to-end - versioning, binary packaging (PyInstaller), and distribution Write and use agent skills, cursor rules, and structured AI-assisted workflows as part of your daily development process Own the quality of what you ship - unit tests, latency tests, performance benchmarks, load tests, and debugging production issues Collaborate closely with the Applied Research team to productionize new capabilities You might thrive in this role if: You have strong full-stack experience - you're comfortable building APIs, writing database queries, and shipping React/Next.js UIs You've built production services with FastAPI or similar frameworks You understand dependency management and packaging - you're comfortable with uv , pyproject.toml , editable installs, and managing dependency graphs across shared libraries You've owned release cycles end-to-end - versioning, changelogs, binary packaging, and distribution You're comfortable with infrastructure: Docker, Kubernetes, Helm, GitHub Actions, AWS. You don't need to be a DevOps engineer, but you can read a Helm chart, debug a failed deploy, and add an environment variable without hand-holding You develop using AI-assisted tools (Cursor, Claude Code, Copilot) and are productive in agentic workflows - writing skills, using structured prompts, and leveraging AI to move faster. No AI slop. You care about code quality, clear abstractions, and keeping things simple. You prefer explicit over clever. You have working knowledge of Git and are comfortable with trunk-based development, rebasing, and clean commit hygiene You're comfortable working in ambiguity - requirements change fast, priorities shift, and you're proactive about figuring things out rather than waiting for direction You communicate clearly and can own a feature end-to-end - from understanding the requirement to deploying it Nice to have: Experience building CLIs with clean argument parsing, help text, and user-friendly error handling Understanding of Model Context Protocol (MCP), have built MCP servers/clients, and understand how LLMs invoke tools and interact with external systems Experience with Redis Streams, event-driven architectures, or real-time data pipelines Experience with ArgoCD, GitOps workflows, or managing multi-environment deployments Interest in AI security - understanding how agentic systems can be exploited and how to defend against it What we offer Competitive salary + equity, so you share in the company's upside Work at the forefront of AI security, helping define a new category Remote-friendly, with a preference for candidates based in Amsterdam, Paris, Poland, New York, or San Francisco Fully funded team retreats every 8 weeks Health insurance allowance for you and your dependents Wellbeing, learning, and home office allowances (to support health, growth, and your setup)