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Intellectual ambition and academic scholarship lie at the heart of a King’s education, and we aim for every King’s pupil to be inspired to achieve their full academic potential. In line with this aim, each year the school employs a small number of graduates, doctoral and post‑doctoral researchers in a part‑time capacity as part of our academic enrichment programme. These roles, called King’s Rossetti Academics, are in honour of Dante Gabriel Rossetti, a former student of King’s who was an important figure in nineteenth‑century British art and poetry. Rossetti Day is an inter‑disciplinary workshop day for the lower sixth, and the Rossetti Society holds a series of lectures. The programme encourages pupils to explore subjects beyond the curriculum. The purpose of the King’s Rossetti Academics programme is to inspire our pupils in their academic studies by increasing their access to current, intellectually stimulating and specialist knowledge. We are currently inviting graduates, doctoral and postdoctoral researchers specialising in Physics & Engineering to apply to become a King’s Rossetti Academic. The King’s Rossetti Academic (Physics & Engineering) will support curricular and co‑curricular activities relating to Physics & Engineering, and assist pupils in making successful admission applications to university and related subjects. The precise nature of the role will be shaped in accordance with school needs to fit the strengths of the candidate(s) appointed, and we hope the appointed candidate will relish the opportunity to shape and extend our provision further. • Supplementing current departmental support to pupils with university applications., • Running subject extension sessions., • Providing feedback on draft personal statements., • Preparing pupils for admissions tests., • Conducting mock interviews., • Providing strategic advice on university applications., • Supporting the creation and delivery of academic enrichment resources, talks and activities within both the curriculum and co‑curriculum., • Supervising pupils in the research, writing and delivery of individual projects, such as King’s Essays., • Delivering pupil workshops as part of Rossetti Day in January and Curiosity Day in June., • Providing occasional support for our partnership and international schools. Employment will typically be 8 hours per week across one or two days, and so fit well alongside current research or study commitments. Required from: September 2026. • A good undergraduate and/or postgraduate degree in Physics & Engineering or a related subject., • A genuine interest in Physics & Engineering as a contemporary academic discipline; this may be expressed as a current doctoral or post‑doctoral researcher., • An ability to work well with others, and to demonstrate initiative., • Excellent communication, organisation and listening skills., • A desire to enrich the intellectual experience of pupils beyond the exam specifications, and to inspire and support pupils to flourish and reach their academic potential., • An understanding of the application process for the most competitive degree courses in the relevant subject area, and the ability and willingness to support pupils with their preparations for admissions tests and interviews., • Prior experience working in a secondary school environment., • A willingness to contribute to the school’s partnerships programme, for instance supporting our partnership with Harris Academy Wimbledon sixth form and/or our international schools programme., • A willingness to contribute to the school’s wider academic enrichment programme. To apply for this role, please register your details online via our website www.kcs.org.uk. Once you have registered, you can apply for vacancies by logging into the candidate area using your email address and chosen password. You will be asked to fill an online application form, upload a CV and provide a cover letter. This post is exempt from the Rehabilitation of Offenders Act (ROA) 1974. King’s is fully committed to safeguarding and promoting the welfare of children and expects all staff to share this commitment. Applicants will be required to undergo child protection screening appropriate to the post, including checks with past employers and the Disclosure and Barring Service. King’s College School is fully committed to the principles of equality, diversity and inclusivity in its recruitment of teaching and support staff. #J-18808-Ljbffr

London Full time Hybrid Engineering At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact. We’ve just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we’re only getting started. As a category-defining company, we’re shaping what the future of learning looks like at global scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day. The Security team partners across the company to help Preply grow safely and sustainably. We are responsible for platform security, application and product security, security operations, and incident response. We work closely with SRE, Data teams, Engineering teams, and our GRC function to make security practical, measurable, and scalable. We work in small teams, which means you’ll have high ownership, real influence on technical decisions, and the opportunity to drive meaningful improvements across the company. We promote self-direction, strong collaboration, and a culture where trust and clear communication matter. We’ve reached 90%+ adoption of AI coding tools across engineering, and we’re now moving towards more autonomous, AI-Augmented development at scale. At Preply, engineers have direct access to the best tools available, with the freedom to use them fully and experiment as they build. We have diverse technical challenges that will allow you to develop your skills across the stack - sometimes we write about them in our Engineering Blog ! Please, also visit our Tech Radar and our YouTube channel to learn more about the technologies we use at Preply! Own platform security across AWS, Kubernetes, and GCP, with a strong focus on detection, alerting, and incident response readiness Lead key platform security initiatives end-to-end, from problem definition through rollout and iteration Act as a strong technical voice in defining how platform security is designed, implemented, and operated at Preply Evolve our monitoring from “we have a SIEM” to a detection and response capability that is effective, trusted, and actionable Work hands-on with our current tooling, including Datadog as our SIEM, Okta as our primary IdP, and a range of SaaS platforms Drive cross-functional platform security initiatives from problem definition to production rollout, partnering with SRE, Data, Engineering, and GRC Strengthen cloud and platform security across AWS and Kubernetes, with expanding scope in GCP, through practical guardrails, secure patterns, and automation Improve the robustness of access to internal infrastructure, including identity, privileged access, and auditability Improve security of Kubernetes deployments, including cluster and workload security, policy enforcement, and secure workload identity patterns Mature detection and response capability using Datadog Improve log coverage and data quality (cloud, Kubernetes, CI/CD, identity, and key SaaS) Build and tune actionable detections with clear severity, ownership, and expected frequency Reduce noise through correlation, deduplication, enrichment, and continuous tuning Establish repeatable triage workflows and clear escalation paths, being part of the Security on-call rotations Create investigation playbooks and runbooks so alerts can be handled consistently and quickly Partner with Data teams to improve monitoring for suspicious activity and sensitive access patterns, with an emphasis on practical, high-signal alerting Improve secrets management and reduce exposure risk across CI/CD and runtime Build security automation that makes the secure path the easy path for engineers Strong experience securing cloud and platform environments, especially AWS and Kubernetes, and the ability to extend that security approach into GCP Hands-on experience driving and delivering technical security initiatives end-to-end in production environments Strong understanding of the software development lifecycle, and comfort working with CI/CD and infrastructure as code Practical experience improving identity and access security, with strong familiarity with Okta event monitoring and identity-focused detection patterns Experience building or maturing security operations capability, especially turning SIEM inputs into reliable operational outcomes (triage, runbooks, tuning, and measurable improvement) Experience improving logging coverage and signal quality, and building detections that are actionable rather than noisy (experience with Datadog SIEM is a plus) Strong collaboration skills and the ability to influence decisions across SRE, Data, Engineering, and GRC Business-oriented mindset and comfort making cost-benefit tradeoffs Strong communication skills. Minimum C1 English level. Willingness to participate in on-call rotations and partner effectively with SRE during incidents. Terraform and infrastructure as code at scale Jenkins hardening and CI/CD supply chain security controls Cloudflare security controls (WAF, bot mitigation, edge protections) Scripting or programming for automation and tooling Incident response experience in cloud-native environments (AWS and Kubernetes) An open, collaborative, dynamic and diverse culture; A generous monthly allowance for lessons on Preply.com , Learning & Development budget and time off for your self-development; A competitive financial package with equity and leave allowance; The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!). Care to change the world - We are passionate about our work and care deeply about its impact to be life changing. We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience. Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters. Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen. Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently. Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions. Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks. Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference. Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made. One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress. Preply.com is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status. #J-18808-Ljbffr

About Barhale Who are Barhale? Barhale is a business founded on family values, having been established by our Chairman, Dennis Curran, in 1980. We are one of the largest privately owned civil engineering and infrastructure specialists in the UK, with over 40 years of experience in providing design, civil engineering and maintenance services working across multiple sectors, including: • Water, • Transport, • Built environment, • Energy We operate as a tier one partner for blue chip, regulated and private clients, working as part of large frameworks, joint ventures and alliances, as well as on individual standalone projects, developing long-term relationships based on delivering to the Barhale values which have been integral to our business since their inception in 1985. Our direct delivery model is at the core of everything we do, as we believe that people are our greatest asset. Therefore, we robustly source, train and retain all our own frontline delivery teams as well as management and support services. We employ over 1,200 employees nationwide. We possess a range of specialist skills to support our civil engineering and infrastructure activities, including: • Tunnelling, • MEICA, • Temporary and permanent design, • Steel-fabrication, • Signs (design and fabrication), • Health & safety equipment and products, including PPE Why join Barhale? • As Gold Investors in People, we are committed to a high standard of people practices, creating an inclusive environment and ensuring cultural alignment to business strategy, ethos and philosophies., • Job security, long-term secured work through various frameworks and large infrastructure schemes, • A broad range of civil engineering, mechanical and electrical schemes across some of the UK's largest infrastructure projects and clients, • Strong career progression as demonstrated by our track record in promoting from within, as we believe this is a key driver of our success HSE Manager The Role As HSE Manager, you will support a number of projects to meet the requirements of the Health, Safety & Environmental Management systems. You will report to the Head of HSE for your area. Supporting HSE Advisors, site teams and managers through your inspections by recognising hazards, seeking to minimise risks whilst creating, maintaining and improving the health, safety & environmental standards. Championing HSE initiatives in the region whilst ensuring that legislation is adhered to. Key Responsibilities Promote Occupational Health & Wellbeing • Support the provision of Health & Wellbeing within the business, under the direction of the Head of HSE & HSE Director, with the support of the Company H&W Advisor, • Support the communication and promotion of the monthly themes, • Promote the value of occupational health at a regional level HSE Advice and support to HSE Advisors • Provide consistent and accurate HSE advice to HSE Advisors and Site Teams where applicable, • Render support to the region on HSE initiatives/issues and problems, • Produce regional HSE statistics monthly, identify trends and take proactive initiatives, • Line manage HSE Advisors under your control and mentor them to support professional development Collaboration and Client Support • Provide Client support for the region under your control, • Attend Client HSE Forums as required and provide lessons learnt feedback and sharing of best practices, • Form collaborative relationships with Client HSE Management HSE Communications & HSE Statistics • Contribute to and support company-level HSE communications and embed at the regional level, • Produce and communicate HSE alerts following incidents to promote learning and prevention, and continual improvement, • Manage monitoring of regional HSE trends, highlighting areas for improvement and supporting Heads of HSE and Regional Leads on improvement deliverables • Manage the production and cascade monthly PI posters with closing the loop' information, • Support the Head of HSE for your area of the business in maintaining HSE performance statistics monthly as requested, • Deliver awareness training and lead site standdowns Accident/incident investigations • Ensure corporate incident reporting timeframes are met i.e. 2 hours escalation, 2 days for initial reports and alert communication and 2 weeks for detailed investigation reports for applicable incident categories, • Support HSE Advisors and complete investigation reviews for HSE investigations, • Keep Head of HSE & local management informed on status and provide reviewed reports within expected timeframes, • Identify Immediate, Underlying and Root causes within applicable investigation reports, • Support the production of HSE alerts for communication within 2 days where appropriate, • Act as an independent Investigator in other areas of the business under the direction of the HSE Director HSE Monitoring • Conduct regular visits to support your Advisory Team within the area of your control, • Perform HSE Detailed Inspections monthly in your control with monthly targets agreed with your Head of HSE and or the HSE Director, • Act as a role model for HSE in the area under your control, • Monitor HSE Advisor inspections and ensure findings are closed out on time, • Agree on Advisor monthly inspection targets with the Head of HSE and monitor compliance, • Approve Regional Vendors from the HSE perspective, logging approval/feedback on the SharePoint system Facilities Management at Company Premises • Provide management support for Facilities Managers at regional company premises on HSE-related issues and provisions, • Monitor HSE standards at regional company premises and ensure legal obligations are being upheld About you Essential • NEBOSH general certificate or equivalent as a minimum, but ideally IOSH, • CEnv or equivalent as a minimum, but ideally associate ISEP (Institute of Sustainability &Environmental Practices), • Extensive HSE experience within a civil engineering environment, experience in the rail sector would be beneficial but not essential, • Analytical skills to interpret detailed information and regulations, • High standard of written English, • Good communication skills, including a professional telephone manner, • People skills - ability to liaise with staff/operatives of all levels within Barhale, • MS Office - Word, Excel and PowerPoint, • Effective communicator with strong presentation and report writing skills, • CSCS Safety Professional card, • Able to work as a member of a team, but capable of working alone to tight deadlines as appropriate, • Commitment to Health, Safety & Environment Desirable • Level 3 AET or PTTLS preferred but not essential, • Working towards NEBOSH Diploma level 6, • Incident investigation - Kelvin TOPSET or equivalent - 1 day training course Caring and investing in you Our values have been embedded at Barhale for over 40 years, and they are our guiding principles regarding how we care and invest in people. Our values are our commitment to being a people-centric company. As a Gold Investors in People company and a Sunday Times 100 Best Company to Work For, we are committed to investing in people. We are passionate about creating a working environment where people are supported throughout their careers, where people can enjoy security and be part of a company that cares about them. From the moment you join us, your well-being and career aspirations will be supported by. • Competitive salary, • Company Pension, • Life Assurance, • Private Medical, • 25 days of annual leave in addition to 8 public bank holidays and loyalty days, • 8 hours volunteering, • Employee Assistance Programme to support your mental, physiological and financial wellbeing, • Flexible benefits via salary sacrifice, • Company car/green car scheme/car allowance/Van (dependent on position), • Leadership & management training and coaching, • Regular line management engagement and appraisal to support your career progression, • Development supported by internal and externally delivered training, • Continuous service awards #J-18808-Ljbffr

Platform Engineer Department: Technology / Engineering Reporting to: Platform Engineering Tech Lead / Manager Location: Hybrid - Office travel on average once per month, London Waterloo Also participate in an on-call rota, covering one week every six weeks FairPlay Sports Media is building a tech-led, AI and data-powered sports media network that serves both owned brands (e.g., oddschecker, WhoScored.com, SuperScommesse, and others) and partners with BetTech products spanning data, display, and predictive capabilities. At FairPlay scale - real-time data, high-frequency updates, and partner integrations - the Platform team provides the infrastructure, delivery pipelines, and observability that let multiple engineering teams ship and operate reliable, compliant, high-throughput products. Our busiest moments - major sporting events, new market launches, and B2B partner go-lives - are when the platform matters most, and the Platform team makes sure the foundations hold. We are looking for a hands-on, pragmatic Platform Engineer (DevOps / Infrastructure) to own and deliver components within our Google Cloud Platform estate - across CI/CD, infrastructure-as-code, observability, and Kubernetes-based workloads. You’ll take part in the on-call rotation, automate away operational toil, apply secure-by-default practices to everything you build, and support product development squads with the environments, pipelines, and tooling they need to move quickly and safely. You’ll work with limited oversight on 2–3 month pieces of work and contribute to larger initiatives led by Senior engineers. • Cloud Infrastructure: Design, build, and operate GCP infrastructure (Compute Engine, GKE, Cloud Load Balancing, Cloud SQL, Memorystore, Pub/Sub, Cloud Storage, VPC networking) as Terraform, following and contributing to the team’s shared modules and standards., • Kubernetes Workloads: Deploy and run services on GKE - workloads, networking, storage, autoscaling, and Helm-based configuration - and help product development squads containerise and operate their applications well., • CI/CD: Build and maintain GitLab CI pipelines: artifact management, environment promotion, and safe deployment strategies (blue/green, canary, rollback), with policy and security checks baked in., • Developer Experience & Automation: Identify toil and remove it with Python, Go, or Bash tooling; improve self-service for product development squads (environments, access, deployments)., • AI-assisted Engineering: Use Claude Code and adjacent tooling deliberately as part of day-to-day work - managing context, using sub-agents for investigation and adversarial review, and writing reusable skills (prompt-driven automations) for repeat tasks., • Observability: Build and maintain metrics, logging, tracing, dashboards, and alerting (Google Cloud Operations Suite, Prometheus/Grafana, OpenTelemetry or equivalents) for the components you own; define and track SLIs/SLOs., • On-Call & Incident Response: Take part in a week-long 24hr on-call rotation: respond to escalations from product teams and to platform-owned alerts; triage, mitigate, and elevate following our incident process. On-call duties and escalations are additionally compensated via callout pay., • Runbooks & Post-Incident Reviews: Write and maintain accurate runbooks; contribute to blameless post-incident reviews and see durable follow-up actions through to completion., • Production Readiness: Factor upcoming critical business events - peak sporting fixtures, market launches, B2B go-lives - into your work, and support load testing, capacity, and failover checks led by Senior engineers., • Identity & Access: Implement least-privilege IAM, Workload Identity, and service account hygiene in the components you build; escalated design decisions with wider security or compliance implications., • Secrets & Configuration: Use Google Secret Manager and Cloud KMS for secrets and encryption; keep configuration safe and auditable; ensure credentials never end up in code or pipelines., • Guardrails in Delivery: Contribute to policy-as-code across Terraform and security scanning (SCA/SAST, container image scanning) in GitLab pipelines, working alongside our Security function., • Security Reviews: Consider security during design, raise implications explicitly, and contribute to security reviews of your own and others’ components., • Working with others Product Development Squads: Understand their needs, unblock delivery, and communicate progress, risks, and operational status clearly., • Platform Team: Deliver alongside Senior engineers; contribute to shared modules, patterns, and standards; write clear documentation for what you own., • Coaching: Pair with and review the work of Junior engineers, explaining your decisions so they can learn from them. Must have Experience • 3–5 years in Platform Engineering, DevOps, or Cloud Engineering within a modern cloud environment, delivering production infrastructure with limited oversight., • GCP & Containers: Solid hands-on experience with Google Cloud Platform (Compute, IAM, VPC, GKE, Cloud Storage, managed data services) and containerisation with Docker and Kubernetes., • Infrastructure-as-Code: Proficient with Terraform - modules, state management, and reviewing changes safely., • CI/CD: Proficient at building and debugging pipelines (GitLab CI or similar), including artifact handling and deployment strategies., • Observability: Proficient with metrics, logs, and traces; has built dashboards and actionable alerting and understands SLIs/SLOs., • Linux & Networking: Proficient with Linux systems (processes, filesystems, systemd, shell) and a working knowledge of TCP/IP, DNS, TLS, load balancing, and VPC networking., • Scripting & Automation: Proficient in at least one of Python, Go, or Bash, and able to read the others., • Operations: Comfortable participating in an on-call rotation and handling common incidents calmly and methodically., • Security Fundamentals: Working knowledge of secure-by-default practices in cloud infrastructure: least privilege, secrets management, safe configuration. Highly Desirable Experience with high-traffic or real-time systems (sports, betting, finance, media streaming). Hands-on use of AI-assisted coding tools (Claude Code, Cursor, or similar) with an understanding of context management, sub-agents, MCP, and hooks. Experience with GitOps-style workflows (e.g. Argo CD or Flux) for managing Kubernetes and infrastructure changes. Exposure to policy-as-code (OPA/Conftest, Sentinel, or similar) and security scanning in pipelines. Exposure to security or compliance practices in regulated environments (e.g. gambling regulation, SOC 2, ISO 27001). Cost and efficiency awareness in cloud environments (rightsizing, committed use, FinOps practices). Relevant certifications (GCP Professional Cloud DevOps Engineer, Professional Cloud Architect, CKA). • Ownership & Pragmatism: You take initiative, pursue problems to resolution, and balance speed with care - and know when to raise a trade‑off rather than decide alone., • Calm under Pressure: You stay methodical during incidents, ask for help early, and follow through on the actions that stop it happening again., • Communication & Collaboration: You explain technical decisions clearly to developers and teammates, write documentation people actually use, and give and receive constructive review feedback., • Curiosity & Growth: You’re keen to learn across the full breadth of the platform and to help those around you learn too. FairPlay Sports Media is an AI‑driven, technology‑led media network and BetTech infrastructure provider. Built on the 25‑year legacy of oddschecker (founded in 1999), the group operates globally at the intersection of high‑intent sports audiences, premium publishers and betting operators. By combining deep market expertise with technical proficiency, FairPlay Sports Media bridges the gap between sports content and sustainable monetisation. Its global infrastructure runs on a proprietary data platform built to process over one billion odds on peak days and cover more than 30,000 sporting events annually. The company nurtures a portfolio of highly engaged, trusted brands, including oddschecker, WhoScored, SuperScommesse and Confido Network. FairPlay Sports Media is a Bruin Capital company headquartered in London, UK, and has operations in North America and throughout Europe, supported by a global workforce of over 200 employees. #J-18808-Ljbffr

You enjoy working on complex data problems whilst being able to suggest simple (yet effective) solutions. You are comfortable working with uncertainty and like to make things clearer. You’re passionate about technology and keep up as it evolves. You focus on the future and thrive most when solving problems. Client’s love working with you. You are honest and do things when you say you will, you also know how to explain things clearly and concisely. You can educate and inspire. You’ve got a background in data science, machine learning algorithms, data analytics, and data engineering along with their technologies. You’re equally comfortable presenting to clients, providing advice or building prototypes. You’re a collaborator and enjoy stepping out of your role from time to time, whether it’s to support your clients, colleagues or to learn something new. • Leading client projects and providing subject matter expertise., • Working in scrum-like environments for iterative and ‘fail-fast’ work and innovation., • Working in cross-disciplinary teams., • Working at the PoC (proof-of-concept) stage through to MVP and MMP stages., • Assessing your clients’ business and technical needs with the ability to identify opportunities for data science to be used. Managing client and stakeholder relationships appropriately., • Solving problems using data science techniques and in a scientifically robust fashion., • Identifying data sources that are relevant to client needs, and related data science concepts that leverage those sources to aid the client., • Working with various forms of data (e.g., unstructured, semi-structured or structured; text, time-series or image) and suitably modelling them (e.g., table, key-value pair, graph) for efficient data science use., • Investigating and analysing data to see ‘the wood from the trees’ and drilling down to the ‘whys’ of the data., • Applying statistical and evidence-based techniques to inform insights and actions from the data., • Communicating technical content at the right pitch/level both internally and to customers., • Presenting to the client, using data science tooling and investigation, a ‘story’ of the data., • Building maintainable code that use existing data science libraries, implement existing data science techniques, or implement novel techniques., • Designing, evaluating, and implementing on-premise, cloud-based and hybrid data science and machine learning techniques and algorithms (including providing relevant review and guidance on testing aspects, identification of risks and proposing and implementing their mitigations)., • Developing scalable models and algorithms that can be deployed into production environments., • Applying ethical principles in handling data., • Accurately delivering high quality work to agreed timelines and taking the initiative and knowing how to jump straight in., • Supporting client engagements, including pitches and presentations., • Helping to support & grow Daintta by actively inputting into the company strategy and helping to shape our future., • Representing us and our core values: transparent, fair and daring, • You have 5+ years of degree level industry experience in data science., • You have extensive degree level experience in a STEM subject., • You have experience of working in a consultancy, engineering, or data industry., • You have led client delivery across a range of projects, e.g., data science, data analytics, data engineering, data intelligence, data security and proven experience in relevant technologies (e.g., Python applied to data science), as anindividual-contributor and leading a small team., • You have experience working on cloud-based infrastructure (e.g., AWS, Azure,, • GCP).You have demonstrable continuous personal development., • You have strong interpersonal skills, • You have experience with using CI/CD tooling to analyse, build, test and deploy your code and proven experience in their technologies., • You have experience in database technologies (e.g., SQL, NoSQL such as Elasticsearch and Graph databases), • You have a good understanding of coding best practices and design patterns and experience with code and data versioning, dependency management, code quality and optimisation, error handling, logging, monitoring, validation and alerting. Hybrid, with 2-3 days working from Daintta office (London or Cheltenham) or on client site as required. In addition to being rewarded fairly for your contribution to the business, you get to work in a dynamic organisation that is agile and responsive. A business that is growing fast and where you get to drive and shape the future. A place where you are respected by everyone and your voice is important. Somewhere where you can be innovative and creative. A place where you have the opportunity to learn about all aspects of business from marketing to sales, to delivery and business operations. We are Daintta. We provide deep expertise with technical and business specialists to help clients and organisations secure and protect the UK. In complex environments, we use innovative methods to solve the hardest data challenges to help organisations make more informed and accurate decisions, at scale and faster. We are agile, responsive, independent, and collaborative while our values of Fair, Transparent and Daring guide all our decision making. Due to the nature of this position, you must be willing and eligible to achieve a minimum of SC clearance. To qualify, you must be a British Citizen and have resided in the UK for the last 5 years. For more information about clearance eligibility, please see government/organisations/united-kingdom-security-vetting #J-18808-Ljbffr

Geotechnical Engineer / Geo-Environmental Engineer This challenging and exciting opportunity requires an individual with a technical background and demonstrable experience in any area of the geotechnical, geo-environmental or geology sectors. Due to continued and sustained growth in the UK, a significant increase in workload and a portfolio diversification of services, our client is now looking to recruit a Geotechnical Engineer / Geo-Environmental Engineer. Reporting to the Contracts Manager, you will enjoy a blend of site, office and home working, and join an experienced and enthusiastic team of staff delivering geotechnical, geo-environmental and site / ground investigation services to a wide ranging client base Additionally, you will be required to analyse your findings and convey this information into well documented factual and interpretative reports, both for the company's in-house pre-contracts and project teams, and externally to their clients and other stakeholders. The Person & The Role · A degree in Geology, Civil Engineering, Earth Sciences or a related subject · Possess previous practical or relevant experience, post-graduation · Knowledge of ground investigation techniques and BS5930 · Experience with relevant data management software packages · IT competent in Microsoft packages, and the ability to work independently or with a team · Ability to work effectively to deadlines and under pressure · Good attention to detail and accuracy of work, effective planning and organisation skills · A structured approach to problem solving, with excellent written and verbal communication · Awareness of the relevant industry legal and safety regulations · Able to produce factual or interpretive reports · Attention to detail, with experience in compiling critical data from multiple sources · Comply to all company and site specific HSEQ policies at all times · Responsible for site operatives and sub-contractors · Attend and successfully carry out all assigned duties to deliver projects safely and timely · Undertake multiple projects covering various service disciplines utilising appropriate plant, labour and resource in accordance with the ground conditions, site access and specification · Complete in-situ testing and sampling · Produce reports based upon relevant site information, ground conditions and any other specific project requirements · Organisation of intrusive investigations, including health and safety aspects, and proactively managing and instructing subcontractors and site operations · Complete and/or supervisor site work, e.g., trial pitting, soakage testing, soil logging of trial pits and boreholes to BS5930/Eurocode 7, groundwater/ground-gas monitoring · Manage the receipt, storage, and preparation of samples for laboratory testing, ensuring compliance with health and safety protocols, internal SLA's and project timelines, dispose of samples in line with internal procedures · Provide a consultative approach to engineering, advising, and recommending solutions · A demonstrable understanding and experience of various drilling-based projects, with the ability to use and operate drilling rigs and equipment · Reading and understanding of site / project specifications and drawings · A good understanding of adopting varied techniques pertaining to the ground / site conditions, including rotary, cable percussion, bore hole logging, core sampling, window sampling and trial pitting etc · A full awareness of project specifications and other contract documents · An ability to produce reports that are easily digested based on gathering technical data and information from multiple sites · Highly organised and effective, with the ability to plan and schedule your own workload with the minimum of supervision Our Client Our client is a well-established nationwide ground and geotechnical engineering and geo-environmental contractor, offering a variety of services to all sectors of the civil engineering, infrastructure, rail, building and construction industry. With their vast fleet of rigs and highly qualified and experienced personnel, our client is committed to providing an innovative, cost effective, timely and professional service to a wide range of project and contract applications. This commitment has enabled them to establish a varied client base, covering all facets of the industry. Our client has a highly successful track record of delivering various infrastructural schemes covering roads, highways, rail, nuclear, airports, commercial / industrial developments, ground appraisals, ground, site investigations, utilities and dewatering projects. An attractive basic salary (permanent) plus extensive bonuses, overtime, allowances and a full benefits package is on offer to the successful candidate, along with longevity of work given the company's market leading status in this sector, and their dedication to continued and ambitious growth. TPBN1_UKTJ

Senior Backend Platform Engineer – EdTech (Learning Systems & Integrations),February 15, 2026### Job DescriptionLocation: London, UK Work Model: On-site Role Type: Full-TimeWe are looking for a Senior Backend Platform Engineer with strong experience in scalable backend systems and API architecture to join our client’s on-site team in London. This role focuses on building and scaling the core backend infrastructure that powers digital learning platforms, student management systems, and real-time educational services. You will work closely with product, frontend, and data teams to deliver secure, high-performance systems supporting large-scale education environments.---### What You’ll Do Design and build scalable backend services supporting modern EdTech platforms Develop and maintain APIs powering learning management systems, student workflows, and assessment tools Build microservices handling authentication, course delivery, progress tracking, and analytics Optimise database performance and ensure high availability for large educational datasets Integrate third-party educational tools and LMS platforms via REST APIs and webhooks Deploy and monitor backend services on cloud infrastructure such as Amazon Web Services, Google Cloud, or Microsoft Azure Implement logging, monitoring, and reliability best practices Collaborate on system architecture, scalability planning, and security design---### What We’re Looking For#### Required Skills & Experience Strong experience in backend engineering (Java, Python, Node.js, or similar) Experience designing scalable RESTful APIs and microservice architectures Solid knowledge of relational and NoSQL databases Experience working with cloud-hosted production systems Understanding of authentication, data security, and high-availability design Strong communication skills and ability to collaborate on-site with cross-functional teams---#### Nice to Have Experience working with Learning Management Systems or education platforms Familiarity with standards such as LTI, SCORM, or xAPI Experience building real-time services (notifications, live classrooms, collaboration tools) Exposure to event-driven architectures and message queues* Previous experience in high-growth startup or scale-up environments---Location: London, UK Work Model: On-site Role Type: Full-TimeLocation,Experience levelMid–Senior level## Work Location #J-18808-Ljbffr

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building large-scale data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at significant scale. By joining Meta, you will become part of a data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. • Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems, • Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve, • Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way, • Define and manage Service Level Agreements for all data sets in allocated areas of ownership, • Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership, • Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains, • Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources, • Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts, • Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts, • Influence product and cross-functional teams to identify data opportunities to drive impact, • Mentor team members by providing actionable feedback, • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent, • 4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions, • 4+ years of experience (or 2+ years with a Ph.D) with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.), • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews), • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements), • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies, • Master's or Ph.D degree in a STEM field Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. #J-18808-Ljbffr

Valarian Technologies is a dual-use technology company building critical tools to safeguard the future in an era of evolving global security challenges. We're rethinking security beyond traditional military domains, addressing asymmetric threats that impact our technological advantage, economic strength, and democratic institutions. We build Acra – the platform foundation for everything we do as a dual-use technology company. The platform's name, rooted in the Greek word for citadel (or, fortress), reflects the design and purpose of our infrastructure-agnostic secure enclaves: protecting critical data. Some of the government and commercial workflows include: increased operational resiliency for mission-critical systems and functions; enabling organisations to more quickly and widely adopt emerging technologies while ensuring the integrity of their intellectual property; information flow during disaster response scenarios, and zero-trust / least-privilege environments for M&A, attorney-client privileged communications, etc. And we've only scratched the surface. At our core, we're driven by a shared mission and a belief in making a tangible impact on our world. Whether you join our London HQ or the wider global organisation, you’ll be a part of collaborative, high-performing teams, creating cutting-edge software, platforms, and infrastructure. You will design, build, and operate backend and platform services for ACRA, a complex security-focused Kubernetes platform that needs to be reliable, observable, scalable, and secure from the start. You will work primarily in Go, building microservices, APIs, internal platform services, and event-driven systems. You will own services end to end: from system design and implementation through to containerisation, deployment, monitoring, debugging, and production operations. You will help shape the infrastructure and delivery foundations around the platform, including Docker, Kubernetes, CI/CD pipelines, GitOps workflows, container registries, secrets management, deployment automation, and Argo-based delivery flows. You will contribute to core platform primitives such as identity-aware service communication, lifecycle orchestration, policy-driven deployment, auditability, observability, and controlled application execution. ACRA’s architecture separates the control plane, platform enforcement layer, and isolated execution environments, so this role requires someone who can reason clearly about trust boundaries, failure domains, and operational responsibility. This is not a role for someone who only wants to take tickets. We are looking for someone who understands the product vision, challenges assumptions, proposes better designs, and helps translate ambiguous requirements into robust technical systems. As ACRA grows, this role offers a clear path to increasing technical ownership and influence. You will not just build services and move on; you will help maintain, evolve, and scale the systems you own over time. You will also help raise the bar for how we design, review, deploy, operate, and learn as an engineering team. You do not need to have worked with every tool in our stack before. We are looking for strong engineering judgement, curiosity, ownership, and the ability to build reliable systems in complex environments. • Build and own backend services, APIs, microservices, and platform components in Go., • Own services from system design through implementation, deployment, observability, and production operations., • Design event-driven, scalable, observable, and resilient systems., • Build and improve Docker images, Kubernetes workloads, CI/CD pipelines, and Argo/GitOps workflows., • Work with container registries, secrets, secure configuration, and deployment automation., • Contribute to platform architecture, system design, security boundaries, and operational models., • Help build platform capabilities such as workload isolation, policy enforcement, auditability, and identity-aware communication., • Work closely with product, leadership, and engineering to turn ambiguous requirements into reliable technical solutions., • Make pragmatic technical trade-offs and explain them clearly., • Improve monitoring, logging, tracing, alerting, and production debugging., • Raise engineering standards through design reviews, code reviews, documentation, and operational improvements., • Operate independently in a startup environment with strong ownership and product thinking., • Senior backend engineering experience, ideally with hands‑on Go experience., • Experience owning production services, not just building features., • Experience building APIs, backend services, microservices, or distributed systems., • Strong experience with Docker, Kubernetes, and CI/CD., • Familiarity with GitOps, Argo, container registries, secrets, and secure deployment workflows., • Strong system design fundamentals, especially around reliability, scalability, observability, and failure handling., • Ability to reason about security boundaries, operational risk, and production failure modes., • Experience debugging issues across applications, services, and infrastructure., • Comfort working from ambiguous requirements and shaping the technical approach., • Product-minded engineering judgement: you care about why the platform is being built, not just what needs to be implemented., • A self‑driven, ownership-oriented way of working., • Comfortable giving and receiving feedback, reviewing designs, and helping improve team standards., • Willingness to work across backend, platform, infrastructure, and DevOps areas. The most important thing is not that you have done everything on this list before. It is that you bring strong engineering judgement, ownership, curiosity, and the determination to build excellent systems. • Secure or regulated environments, such as defence, government, fintech, healthcare, critical infrastructure, or sovereign cloud., • Zero‑trust architecture, identity‑aware systems, policy enforcement, or workload isolation., • Service mesh, network policy, ingress/egress control, or secure service-to-service communication., • Observability tooling, including metrics, logs, traces, alerting, and incident response., • Supply‑chain security concepts such as image signing, vulnerability scanning, SBOMs, artifact verification, or admission control., • Secrets management tools such as Vault, SOPS, Sealed Secrets, External Secrets, or cloud‑native secret managers., • Systems where auditability, traceability, and operational evidence are first‑class requirements., • Startup, platform, infrastructure, or product engineering environments with broad ownership. Again: these are not requirements. They are areas you may get to work with and go deeper into here. • Equity – because you have the right to own what you’re building, • A competitive salary – because we value your unique skills, • Employer pension contributions – because you deserve a secure future, • Private health insurance - because your health is important to us, • Hybrid work setup – because everyone has different needs, • Rewarding company retreats and meetups that respect your work/life balance – because we love getting to know each other! Our culture is built on inclusivity, compassion and flexibility – we want everyone to be empowered to achieve their goals at Valarian. The work we do is vital, but so are the connections that make it happen. We thrive on the shared energy, spontaneous conversations, and mutual trust built when we spend time together. We operate on a hybrid model, gathering in our London office 3 days a week to support one another and collaborate. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #J-18808-Ljbffr

Quant Capital is hiring for a small, high-performing market maker in London. This is a Mid-to-Senior role focused primarily on Java development, with a secondary responsibility owning straightforward Python ETL/data ingestion into AWS and PostgreSQL. This is a growing team focused on data ingestion and building tooling for the wider firm. What you’ll do: • Build and enhance Java backend services (APIs, batch jobs, integrations) used across the business, • Write clean, testable code with solid engineering discipline (testing, code review, debugging, production support), • Maintain and extend Python-based ingestion/ETL (pragmatic plumbing, not heavy data engineering), • Work with PostgreSQL (schemas, migrations, performant queries, data validation), • Improve service reliability: monitoring/logging, sensible alerting, and predictable deployments via CI/CD Tech: What they want: • 10+ years of experience building production systems (or equivalent ability), • Comfortable with SQL/PostgreSQL, • Some Python experience (enough to manage and improve existing ETL/ingestion) Nice to have • Any finance or markets exposure, • Familiarity with common AWS patterns for running services and pipelines Why this role • Broader scope than pure app dev: you’ll understand the data feeding the platform, • Lean team, high impact, strong growth runway #J-18808-Ljbffr

We are seeking a highly experienced SC Cleared Senior Azure Application, DevOps Security Engineer to support the productionisation of a critical Azure-hosted application within a highly regulated environment. You will take ownership of the technical delivery required to establish a secure and reliable connection between an existing Azure API Management (APIM) instance and an Azure App Service application. • Azure API Management & App Service Integration, • Azure Application Engineering, • Security & Identity, • DevOps & Production Readiness, • Extensive hands-on Azure engineering experience., • Strong Azure API Management (APIM) expertise., • Azure App Service administration and troubleshooting., • Microsoft Entra ID, Managed Identities and RBAC., • Application and API security within regulated or secure environments., • Azure networking, DNS, certificates and connectivity management., • Production-grade CI/CD implementation., • Python development and REST API integration., • Git-based development and infrastructure management., • Logging, monitoring, secrets management and operational support., • Strong documentation and stakeholder communication skills. #J-18808-Ljbffr

Security Engineer (SIEM / XDR) – Microsoft Sentinel, Defender, Endpoint, Detection Engineering, Detection-as-Code, KQL, Security Automation, SOAR, Playbooks, Telemetry, Cloud Security, APIs, CI/CD, Infrastructure-as-Code, Python, PowerShell, Windows, Linux, London (Hybrid) This is an exceptional permanent Security Engineer (SIEM / XDR) opportunity to join a leading tech company. The Security Engineer (SIEM / XDR) role is Hybrid, in the London office 1-2 times a month . You must be UK based and able to travel to UK sites sometimes at short notice. As Security Engineer (SIEM / XDR), you will design, build and maintain scalable security detection and response capabilities across SIEM, XDR, cloud and endpoint platforms. The Security Engineer (SIEM / XDR) will set engineering direction, standards and quality across detection, telemetry and automation, with a strong focus on detection-as-code, telemetry optimisation and automated response workflows. The Security Engineer (SIEM / XDR) will work closely with SOC leadership and engineering teams to improve detection effectiveness, integrate new data sources, enhance logging quality, build automation and support scalable cloud security outcomes. Strong Security Engineer (SIEM / XDR), security engineering or detection engineering experience is essential. Key skills as Security Engineer (SIEM / XDR) Strong Security Engineer (SIEM / XDR), security engineering or detection engineering experience Hands-on SIEM and XDR tooling, ideally Microsoft Sentinel and Microsoft Defender for Endpoint Detection engineering, detection-as-code, KQL, security content and alert logic Security telemetry, logging pipelines, data quality and telemetry coverage improvement Cloud security engineering and scalable security architecture design Automation, SOAR, playbooks, enrichment workflows and response improvement Scripting/programming skills such as Python and PowerShell Infrastructure-as-code, CI/CD pipelines, version control and documentation standards API integrations, security tooling integration and onboarding new data sources Windows and Linux operating system knowledge Ability to own engineering backlog, priorities and delivery across detection and platform improvements Desirable skills as Security Engineer (SIEM / XDR) InfoSec certifications MS certifications Azure certifications This is an exceptional Security Engineer (SIEM / XDR) opportunity with a great package and career progression on offer. Key skills: Security Engineer (SIEM / XDR), SIEM, XDR, Microsoft Sentinel, Microsoft Defender for Endpoint, Detection Engineering, Detection-as-Code, KQL, Security Automation, SOAR, Playbooks, Telemetry, Cloud Security, APIs, CI/CD, Infrastructure-as-Code, Python, PowerShell, Windows, Linux, London (Hybrid) TPBN1_UKTJ

We have officially expanded into the UK, and we are looking to hire engineers to join the team. We’re really lucky to have an Engineering team spread across three jurisdictions working on the Hnry product. While that gives us the opportunity to hire great people globally, we’re looking for a Platform Engineer to join our founding London team. You will play a key role in the team that takes ownership of the infrastructure, performance, and security of the Hnry platform. Our Platform Squad is responsible for keeping our AWS servers and databases running smoothly, and making sure we’re set up to scale with confidence. Collaborate with engineers across the business to support platform needs and improve developer experience Design, build and maintain improvements to the infrastructure and platform of Hnry, currently hosted on AWS Improve the reliability, availability and performance of our platform Evolve and optimise our CI/CD pipelines to enable fast, safe and consistent deployments Implement and enhance observability (monitoring, alerting, logging) using tools like DataDog to ensure high-availability APM Apply best practices in security, scalability and cost optimisation across our infrastructure Support incident response and proactively identify and resolve system issues Produce work that meets the expected level of test coverage and improve test coverage across the existing codebase Share knowledge and contribute to engineering standards and ways of working Jayesh - Principal Engineer Have hands-on experience with AWS infrastructure for web applications (ideally including ECS and RDS) Have experience managing cloud infrastructure using Infrastructure as Code (e.g. Terraform) Be confident working with tools such as Git, GitHub, Linux, and CI/CD platforms (e.g. GitHub Actions, CircleCI) Be a team player and want to work as part of a team Be able to take complex problems, break them down, identify root causes and build robust solutions Have a pragmatic approach to improving system reliability, performance and scalability Actively monitor systems, identify problems and propose solutions • Experience optimising PostgreSQL databases, • Experience with Ruby on Rails or supporting Rails-based applications, • Experience working on systems at scale, • Experience in a startup, scale-up, or high-growth environment, • Experience being self-employed (freelancing, contracting etc.) We follow agile practices, delivering improvements iteratively in small chunks. We track the impact of our work and measure ourselves on results, not the amount of code written. We’re growing fast, and are focused on building a well designed, scalable & robust platform. In some areas of the work (e.g. payment processing) there is very little margin for error. Our technology platform is built in Ruby on Rails, hosted on AWS services (via Terraform), Postgres, Docker We have wide automated test coverage, continuous deployment via CircleCI, and our Engineering team release to production multiple times per day. We review each others code, and set aside time for hacking on experimental features, refactoring and/or learning new things. We work hard and finish on time, no crazy hours. Salary banding: £60,000 - £70,000 per annum At Hnry, we operate a policy of pay parity across our organisation to ensure that all Hnry staff are fairly and equally compensated based on their contributions and experience. The salary for this role will be determined based on the applicant’s experience. #J-18808-Ljbffr

The Senior Operational Acceptance Tester (OAT) is responsible for planning, coordinating, and executing Operational Acceptance Testing activities to ensure applications and services are fully operationally ready before production deployment. You will work closely with delivery teams, infrastructure, DevOps, service management, and business stakeholders to validate operational readiness, identify operational risks, and provide confidence for successful production releases., Operational Acceptance Testing • Plan and execute Operational Acceptance Testing activities across multiple releases., • Define operational test scenarios, test data, and execution plans., • Validate operational readiness before production deployment., • Ensure OAT activities align with release and deployment schedules., • Monitoring and alert validation, • Alert simulation and escalation testing, • Backup and restore validation, • Failover and disaster recovery testing, • Batch processing and restart validation, • Stability and soak testing, • Operational support procedures, • Security and access validation, • Environment verification, • Produce comprehensive operational test evidence., • Record, prioritise, and manage operational defects., • Support root cause analysis of production readiness issues., • Coordinate retesting after fixes., • Maintain OAT documentation and audit artefacts., • Work closely with DevOps, Infrastructure, Service Management, and Development teams., • Participate in release readiness and go-live reviews., • Support operational sign-off activities., • Contribute to continuous improvement of operational testing practices., • Support and mentor junior testers., • Review operational test cases and evidence., • Promote testing best practices across the team., • Exposure to AWS and/or Azure., • Experience with monitoring and logging platforms., • Understanding of ITIL processes., • Knowledge of Change, Incident, and Problem Management., • Exposure to CI/CD pipelines. Scrumconnect Consulting is a UK-based digital transformation consultancy delivering secure, scalable, and user-centred solutions across government and enterprise organisations. We specialise in agile delivery, cloud platforms, data, and modern engineering practices-helping clients build reliable services that meet high operational and compliance standards. At Scrumconnect Consulting, we believe diversity drives innovation. We are committed to fostering an inclusive workplace where everyone feels respected, valued, and supported. We actively encourage applications from women, people with disabilities, individuals from under-represented communities, and those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we provide reasonable adjustments throughout the recruitment process and employment to ensure equal opportunity for all. #J-18808-Ljbffr

TL;DR: We are looking for several ML Engineers to train, post-train, and evaluate the LLMs at the core of our platform. This is hands‑on modern model training work: large-scale data pipelines, SFT/RLHF/DPO-style alignment, reward models, distributed multi-GPU training, and evaluation. White Circle is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies - simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. • We’ve recently raised our Series A funding round, taking our total funding to $70M. Our investors include top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others, • We process over 100M+ API calls every month, • We fine‑tune and train our own LLMs so they run faster and cheaper than any open or proprietary model We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built - you’re the one we need. • Turn petabytes of unstructured text into a structured, explorable view (topics, clusters, segments, trends, anomalies): iterate from "unknown unknowns" to stable definitions we can track., • Build scalable representation pipelines: sampling strategies, preprocessing/normalization, embeddings at scale, indexing, and retrieval to make the corpus searchable and analyzable., • Use LLMs pragmatically: labeling/classification, weak supervision, data enrichment, summarization, and automated diagnostics of inbound volumes (with cost/quality controls)., • Deliver insights that change decisions: translate findings into product and operational actions (what data we have, what's missing, where quality breaks, what to prioritize next)., • Ship self-serve analytics: datasets, data models, and lightweight tools/dashboards so the team can explore and answer questions without ad-hoc requests., • Partner closely with engineering/research: align pipelines with production constraints (latency/cost/privacy), and integrate outputs into workflows., • Have strong Python + SQL with an engineering mindset: you can build reliable pipelines, not just notebooks., • Have solid applied NLP/ML experience on real-world text: embeddings, clustering, topic modeling, semantic search, classification; you understand failure modes and how to debug them., • Are comfortable at scale: distributed processing, large-scale storage‑querying, and performance-cost tradeoffs., • Know how to evaluate fuzzy problems: offline/online metrics, human‑in‑the‑loop labelling, inter‑annotator agreement, drift monitoring, and reproducibility., • Have prior work with safety/moderation datasets, policy/rule systems, or high‑volume logging/observability, • A public builder footprint: open-source models, datasets, or training frameworks on HuggingFace/GitHub, benchmarks, papers (workshop or main conference), or technical posts with real usage, • Experience training models at a frontier or near‑frontier lab, or leading open‑source model releases with documented adoption, • Experience with RL methods for LLMs beyond standard RLHF: online RL, GRPO‑style methods, or novel alignment approaches, • Experience with moderation, safety, or classification models at scale, • Multilingual model training experience, • Competitive compensation, including equity, • Flexible time off, • Office in central London/Paris with flexible hybrid setup, • Relocation support if you're moving to Paris, available after your probationary period, • Premium private health insurance, • Mental health support, including coverage for therapy when you need it, • Lunch and dinner covered when you work from the office, • Learning and development support for courses, conferences, and opportunities to grow your skills, • All the hardware, subscriptions, tools, and services you need, • Team off‑sites twice a year: we've recently been to the Alps, Saint‑Tropez, and Marbella, • Intro call with Talent Team, • Test assignment, • Technical interview with Head of Applied Research, • Final conversation with CEO #J-18808-Ljbffr

Locations: London, Bristol, Manchester or Birmingham Salary: Competitive, depending on experience Security: DV clearance required We’re looking for a DevOps Consultant with strong AWS experience to join a growing engineering team delivering secure, cloud-based platforms across complex government and critical national infrastructure programmes. You’ll work closely with software engineers, architects and delivery teams to build, automate and support reliable cloud environments. This is a hands‑on role, suited to someone who enjoys solving problems, improving ways of working and helping teams get quality software into production faster and more safely. You’ll be involved in: • Designing, building and supporting AWS cloud environments., • Developing and improving CI/CD pipelines for secure, repeatable software delivery., • Supporting containerised workloads using Docker and Kubernetes., • Improving platform resilience, performance, monitoring and operational readiness., • Working with engineering teams to embed DevOps principles and delivery best practice., • Troubleshooting deployment, infrastructure and application issues., • Contributing to technical designs, documentation and continuous improvement activity., • Working directly with stakeholders to understand requirements and provide practical technical advice. You’ll need solid commercial experience working in DevOps, Platform Engineering, Cloud Engineering or a similar role, with AWS as your main technical focus. Experience with the following would be useful: • AWS services including EC2, ECS, EKS, Lambda, S3, IAM, VPC, CloudWatch and RDS., • Infrastructure as Code, ideally Terraform or CloudFormation., • CI/CD tooling such as Jenkins, GitLab CI, GitHub Actions, Azure DevOps or similar., • Docker and Kubernetes., • Linux systems administration and scripting using Bash, Python or PowerShell., • Monitoring, logging and alerting tools., • Git, code review and software engineering best practice., • Security‑focused cloud design, access management and vulnerability remediation., • Azure exposure or experience supporting hybrid/multi‑cloud environments. You don’t need to be an Azure specialist, but any experience with Azure DevOps, Azure landing zones, ARM/Bicep or Azure cloud services would be a bonus. This would suit someone who is technically strong, practical and comfortable working in fast‑moving delivery teams. You’ll need to be able to communicate clearly with both engineers and non‑technical stakeholders, while keeping a focus on secure, scalable and maintainable solutions. Please note: Successful applicants will need to be eligible for BPSS and DV security clearance. This will typically require 10 years’ continuous UK address history, no significant periods spent overseas and British nationality eligibility at the point of application. Some travel to client sites may be required. #J-18808-Ljbffr

AI Platform Engineer - £150-200k - 4 days a week in Central London We are working with a fast-growing financial research and technology firm that builds AI-driven investment products for institutional clients, combining deep domain expertise with large language models to generate data-driven insights and trade ideas. Our client is part of a larger group but operates with its own distinct, entrepreneurial culture. They're now hiring an AI Platform Engineer to turn their team's models and agents into reliable, production-grade products. You'll own: • APIs connecting data, models, and user interfaces, • Authentication, permissions, logging & monitoring, • Model/tool orchestration, • Usage, cost & error tracking, • Review queues and audit trails, • Internal tools powering research and client-facing content What you'll need: • API design experience (FastAPI or similar), • Experience integrating LLM APIs / model endpoints, • Solid grounding in observability, logging, and production reliability, • Enough front-end ability to support internal tooling Ideally targeting candidates from a PhD background AI Platform Engineer - £150-200k - 4 days a week in Central London #J-18808-Ljbffr

Crimson is the AI case intelligence platform for litigation and arbitration. We help disputes teams at leading law firms understand large case files, test arguments and produce high-quality work grounded in the full matter record. Crimson is enterprise-grade by design. We are SOC 2 Type II attested, encrypt data in transit and at rest, and maintain rigorous controls across our product, infrastructure and operations. Security is embedded in how we build and operate because leading law firms trust Crimson with highly sensitive case information. You will work closely with the founders and engineering team to own the continued evolution of our security programme. Combining hands-on delivery with clear judgement about risk, you will ensure our security posture keeps pace with rapid product development, growing enterprise adoption and expansion across the UK and US. • Own and continuously evolve Crimson's security roadmap across application, cloud, identity, data and corporate systems, • Partner with engineers on threat modelling, architecture reviews and secure design for new AI and document-processing features, • Operate and automate our vulnerability management, security testing, secrets management, access controls, logging and detection capabilities, • Maintain and exercise our incident response programme, including playbooks, simulations, investigations and continuous learning, • Coordinate independent penetration testing and represent Crimson's security posture in customer security reviews, • Maintain the controls and evidence supporting Crimson's SOC 2 Type II attestation and enterprise customer requirements, • Embed practical security guidance and tooling into a fast-moving engineering environment, • Strong hands-on experience securing a modern cloud-hosted SaaS product, • A solid grounding in application security, cloud security, identity and incident response, • The ability to review code and architecture, automate controls and work directly with product engineers, • Clear communication with both technical teams and security stakeholders at major law firms, • High ownership, sound risk judgement and comfort operating in an early-stage environment, • Experience with security in legal technology, fintech or another high-trust B2B environment, • Experience with AI systems, document pipelines or multi-tenant data platforms, • Familiarity with SOC 2, ISO 27001, GDPR or enterprise security procurement Crimson is backed by Y Combinator and other leading investors and is already used by litigation teams in the UK and US. You will join a small, multidisciplinary team with direct access to customers, real ownership and the chance to help build a defining company in legal AI. This is a full-time role based in London or New York. We work together in person at least four days a week and offer a competitive salary plus meaningful equity. #J-18808-Ljbffr

We’re partnered with a fast-growing property technology company whose platform helps housing providers, local authorities, and asset managers manage repairs, maintenance, and compliance at scale. They operate across the UK and Europe and are building AI into both their product and the way they work. They are hiring a Senior AI Solutions Engineer to help internal teams do more, better, and faster with AI. You will work with experts across sales, operations, support, finance, legal, and HR, alongside product teams. This is an early hire in a new function, with real influence over how the company adopts AI. The role is part builder, part advisor: you will ship solutions, then work with colleagues until they trust and own them. • Identify high-value AI and automation opportunities and turn them into scoped use cases and working prototypes, • Build with n8n, Tray.io, Workato, Zapier, Claude Code, and LLM APIs, integrating with Slack, Google Workspace, NetSuite, Salesforce, and HubSpot, • Productionise robust workflows with logging, monitoring, evaluations, and guardrails, • Run training and workshops to raise AI literacy company-wide, • Set standards on PII, RBAC, and safe autonomous AI with Security, Legal, and Privacy, • 5+ years in software engineering, applied AI, or a hybrid solutions and automation role, • Proven record of shipping AI or automation that non-technical users adopted and kept using, • Hands-on experience with low-code platforms and LLM APIs (Anthropic, OpenAI, or similar), • Confident coding in Python and TypeScript, with REST and webhook integrations, • Excellent communication with both technical and non-technical colleagues Location: Central London (hybrid, 3 days per week in office) #J-18808-Ljbffr

Burson, part of WPP, is the global communications leader built to create value for clients through reputation. With highly specialized teams, industry-leading technologies and breakthrough creative, we help brands and businesses redefine reputation as a competitive advantage so they can lead today and into the future. When you work at Burson, you are part of a global community of lifelong learners who thrive at the edge of innovation. Burson, part of WPP, is the global communications leader built to create value for clients through reputation. With highly specialized teams, industry-leading technologies and breakthrough creative, we help brands and businesses redefine reputation as a competitive advantage so they can lead today and into the future. When you work at Burson, you are part of a global community of lifelong learners who thrive at the edge of innovation. WPP (LSE/NYSE: WPP) is the trusted growth partner for the world’s leading brands. We unitecutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counselin a single company –powered by exceptional talent and our agentic marketing platform, WPP Open,to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com. For more information visit bursonglobal.com and follow us on LinkedIn and Instagram. Burson’s Intelligence & Insights capability builds the data infrastructure, pipelines and AI-enabled workflows that power communications measurement and impact reporting at scale. Reporting directly to JT Joseph within the Intelligence & Insights practice and based in London, UK (Hybrid working policy), this role is central to leading the technical development of Fount, Burson’s flagship communications intelligence platform. In this role, you will be responsible for translating product vision and technical specifications into robust, scalable data engineering and business intelligence solutions. Working closely with product leadership, you will contribute technical insights and architectural recommendations that help shape the platform’s future evolution. You will operate within a structured Agile team managed in Jira, where product vision, priorities and roadmaps are set by Product Owners, while your core focus is executing this vision to the highest engineering standards. You will serve as the lead engineer responsible for building, maintaining and enhancing Fount, Burson’s custom data pipeline and database layer for communications reporting. Fount enables analysts to configure client monitoring subscriptions, Boolean searches, data ingestion and AI enrichment through an analyst-facing configuration layer. Under the direction of product leadership, you will execute technical deliverables that make the platform more reliable, scalable and seamless for non-technical users to configure and operate. • Technical Leadership & Architecture (e.g., pipeline design, engineering standards, technical reviews, technical debt refactoring, mentoring), • Fount Platform & Data Engineering (e.g., ETL/ELT pipelines, Python services, SQL layers, API integrations, cloud infrastructure, cost & performance optimization), • Analyst Enablement & AI Integrations (e.g., NocoDB configuration, Boolean ingestion, LLM enrichment frameworks, MCP & provider-hosted integrations), • Lead the technical design, architectural standards, and delivery of business-critical data pipelines, services, and platform components across media monitoring and communications data sources., • Partner closely with Product Owners in an Agile Jira environment to assess technical feasibility, evaluate trade-offs, and translate product requirements into maintainable, scalable technical solutions., • Build and maintain production-ready Python services, SQL transformation layers, star-schema data models, and API integrations across relational databases and cloud storage (Azure Data Lake)., • Optimise pipeline performance, system reliability, compute efficiency, and AI token costs, while establishing robust monitoring, logging, alerting, and incident-response practices., • Enhance Fount’s analyst-facing configuration layer (Boolean searches, API ingestion rules, NocoDB workflows) to streamline analyst setup and reduce routine engineering intervention., • Operationalise AI-enabled enrichment frameworks (classification, summarisation, sentiment, topic detection, LLMs, MCP-enabled integrations) with strict quality assurance, governance, and cost controls., • Deliver custom data engineering solutions for specialized client requirements, integrating internal, API-driven and third- party research datasets into scalable reporting workflows., • Mentor junior engineers through code reviews, pairing, architectural guidance, and knowledge-sharing, while systematically refactoring technical debt and maintaining operational runbooks., • Substantial experience designing, building, and operating production data platforms, star-schema data models, and complex ELT/ETL pipelines., • Advanced proficiency in Python and SQL, including clean object-oriented design, Pandas, query optimization, and REST API integrations., • Hands-on experience within the Microsoft Azure ecosystem (Azure Data Factory, Azure SQL, ADLS), Azure DevOps, Git, CI/CD pipelines, and automated testing., • Proven track record in system reliability engineering, production troubleshooting, logging/monitoring, and performance optimization., • Demonstrated capability mentoring junior engineers and elevating team capabilities through code reviews, technical standards, and documentation., • Agile execution expertise using Jira, partnering closely with Product Owners to evaluate technical trade-offs and manage competing roadmap priorities., • Familiarity with modern AI & integration frameworks, including LLM enrichment workflows, semi-structured formats (e.g., Parquet), NoSQL, and provider-hosted or MCP-enabled integrations., • Exposure to complementary technologies, such as low-code UI tools (NocoDB/Airtable), Infrastructure as Code (Terraform/Terragrunt), Power BI/DAX, or communications measurement data. Our vision is for Burson to be the leading ‘academy company’ for creative communications professionals and emerging leaders. We provide a dynamic environment where ambitious colleagues come to elevate their skills, expand their networks, and ultimately, produce the best solutions for today’s leading brands. Our commitment to your growth is reflected in our robust benefits and people programs, which include professional development opportunities, mentorship programs with industry leaders, a vibrant and inclusive company culture fostering collaboration and innovation and packages designed to reward and retain top talent. We invest in our people because we believe their success is our success. At Burson, we’re an agency of learn-it-alls. We recognize that the things we do best, creativity and communications, require a level of nuanced understanding. That’s why it’s imperative for us to hire extraordinarily talented people of all backgrounds and identities. Without that we can’t do the essential work of inspiring bold ideas, fostering constructive dialogue, cultivating meaningful experiences, and driving innovation and creativity for our partners. Your unique point of view—your talent—is what makes you a #BursonPerson, and it’s how we deliver exceptional results for our clients, together. We believe the best work happens when we’re together, fostering creativity, collaboration, and connection. That’s why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. #J-18808-Ljbffr

Are you passionate about designing and deploying intelligent machine learning solutions that drive business impact? Do you enjoy leading teams, building scalable ML systems, and turning complex data into innovative products and services? We are a software engineering team responsible for developing and supporting business-critical platforms used to create, manage, publish, and analyse legal and regulatory content. Our work spans modern web applications, cloud services, content migration programmes, publishing platforms, reporting solutions, and operational tooling. We partner with editorial, product, and technology stakeholders to deliver high-quality solutions that drive business value. In addition to supporting the UK business, we work closely with engineering teams across multiple regions to share expertise, promote reuse, and deliver scalable solutions that benefit the wider organisation. This position serves as a subject matter expert for Machine Learning Engineering, supporting production AI/ML, LLM/RAG, and agentic workflow capabilities for legal content products. In addition to writing code on complex systems, this position provides technical direction on architecture, MLOps, responsible AI, legacy system integration, AWS-based delivery, and AI-assisted development practices. The position does not have direct reports. • Serve as the initial point of escalation for AI/ML engineering issues within the area of responsibility., • Interface with software engineers, data engineers, product stakeholders, domain experts, platform teams, and other technical personnel to finalise requirements and clarify integration needs., • Write and review portions of detailed specifications for the development of complex AI/ML, LLM, RAG, and agentic workflow components., • Design, build, integrate, deploy, and operate production AI/ML and LLM-based services for legal research, analytics, and content use cases., • Implement RAG, semantic search, embeddings-based retrieval, ranking, summarisation, classification, content enrichment, and citation-aware AI capabilities where appropriate., • Design and implement agentic workflows, tool orchestration, and multi-step AI processes that are reliable, traceable, and governed., • Integrate AI/ML capabilities with enterprise systems, APIs, databases, data platforms, content repositories, legacy applications, internal services, and AWS-hosted services., • Establish evaluation and quality controls for accuracy, groundedness, citation quality, hallucination risk, agent task success, latency, cost, reliability, and business value., • Successfully implement development processes, coding best practices, code reviews, MLOps practices, and responsible AI controls., • Apply AI-assisted development tools to reduce software development cycle time and support code explanation, test generation, refactoring, debugging, documentation, code review, migration planning, and legacy system analysis., • Resolve complex technical issues related to AI/ML services, data flows, system integration, model behaviour, production support, and operational reliability., • Mentor and/or train engineers as directed by department management, ensuring they are knowledgeable in critical aspects of AI/ML engineering, MLOps, SDLC practices, and responsible use of AI-assisted development tools., • Keep abreast of relevant technology developments in machine learning engineering, LLMs, agentic workflows, AWS cloud services, responsible AI, and software engineering practices., • Ensure AI/ML solutions align with enterprise data governance, security, privacy, responsible AI, and operational standards., • All other duties as assigned., • Significant hands-on experience in machine learning engineering, software engineering, data engineering, or a related technical discipline., • Experience designing, building, deploying, and operating ML, AI, LLM, or data-driven systems in production., • Experience integrating AI/ML services with enterprise systems, APIs, databases, data platforms, legacy applications, or internal services., • Experience working with cross-functional teams to understand business processes, data flows, content repositories, integration points, and operational constraints., • Experience working with AWS or cloud-hosted production environments., • Equivalent technical experience or education considered., • Strong Python development skills for machine learning engineering, data processing, automation, service development, and production AI/ML workflows., • Strong software engineering background, including system design, APIs, distributed systems, automated testing, code review, maintainability, reliability, and production support., • Strong understanding of ML engineering and MLOps practices, including model lifecycle management, CI/CD, testing, monitoring, release management, observability, and operational support., • Practical experience with LLM-based capabilities, including retrieval-augmented generation, semantic search, embeddings, prompt design, evaluation, guardrails, and observability., • Experience with agentic workflows, tool orchestration, and multi-step AI processes., • Strong AWS knowledge, including cloud-hosted applications, data services, security controls, logging, monitoring, and production support., • Strong understanding of SDLC practices, including requirements analysis, design, implementation, automated testing, code review, secure coding, deployment, and production support., • Strong understanding of responsible AI practices, including evaluation, traceability, secure data handling, model governance, human oversight, and risk management., • Ability to work with structured, semi-structured, and unstructured data sources., • Ability to understand legacy systems, domain processes, data flows, and integration constraints., • Practical experience using AI-assisted development tools such as GitHub Copilot, Codex, Claude, or similar tools to improve software delivery., • Strong problem-solving skills, including identifying, researching, troubleshooting, and resolving complex technical, data, and integration issues., • Strong communication and technical writing skills, including the ability to explain ML and engineering concepts clearly to technical and non-technical stakeholders., • Desirable experience with Docker, Kubernetes/K8s, AWS EKS or ECS, Terraform, or similar cloud deployment technologies., • Desirable working knowledge of C#/.NET and SQL Server, particularly for integration with enterprise or legacy systems., • Desirable experience with event-driven architecture, messaging, queues, asynchronous processing, retries, idempotency, and failure handling., • Desirable experience with legal content systems, LegalTech, publishing platforms, case law, citation systems, legal research workflows, XML/XSLT, structured content processing, search, ranking, indexing pipelines, or content enrichment. Join our team and contribute to a culture of innovation, collaboration, and excellence. We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. • Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: • Generous holiday allowance with the option to buy additional days., • Health screening, eye care vouchers, and private medical benefits, • Wellbeing programs, • Life assurance, • Access to a competitive contributory pension scheme, • Save As You Earn share option scheme., • Maternity, paternity, and shared parental leave, • Employee Assistance Programme, • Access to employee resource groups with dedicated time to volunteer., • Access to extensive learning and development resources, • Access to employee discounts scheme via Perks at Work At LexisNexis GTO, you'll have the opportunity to work on business-critical products while leveraging some of the latest AI and software engineering technologies. We actively invest in developer productivity tools such as GitHub Copilot, ChatGPT, and Codex, and provide regular training, workshops, office hours, and communities of practice to help engineers continually develop their skills. Our engineers are encouraged to innovate and experiment with emerging technologies, including AI-powered solutions, agentic workflows, modern cloud platforms, and intelligent content systems that directly impact our products and customers. GTO fosters a strong culture of learning and collaboration through initiatives such as the Development Guild, Search & AI Guild, technical communities, engineering showcases, and regular knowledge-sharing events where teams learn from one another and share best practices. As part of a global technology organisation, you'll gain exposure to colleagues, products, and initiatives across multiple regions, supported by regular GTO and AI & Platforms town halls that provide visibility into company strategy, innovation, and senior leadership priorities. Beyond technical growth, LexisNexis and RELX provide a wealth of professional development opportunities through structured learning programmes, leadership development, wellbeing initiatives, and extensive learning resources to help employees grow throughout their careers. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. #J-18808-Ljbffr

We’re building the next generation of travel and expense (T&E) technology using AI and large language models. Our mobile platform blends cutting-edge AI with strong product and UX so travelers get an intelligent companion, not just another booking app. The app should understand needs, anticipate requests, and deliver personalized help through conversational UI and rich, immersive interactions. You'll work at the intersection of AI and mobile, helping define how travelers interact with this kind of product on iOS. • Design and ship innovative UX patterns for conversational interfaces and AI-driven experiences on iOS, • Architect and build Swift-first, production grade features using async/await, structured concurrency and modern iOS APIs, • Lead implementation of context-aware experiences using behavior, preferences, and app state with an emphasis on performance and privacy, • Use metrics, experimentation, and validation (analytics, A/B tests, logging) to iterate on features and improve quality over time, • Turn complex AI/ML capabilities into simple, intuitive mobile interactions, • Use AI tools (e.g., Claude Code / LLM‑based coding assistants) to accelerate development while maintaining a high‑quality, well‑tested codebase, • Collaborate across product, design, and backend in a fast-moving environment, • 5+ years of professional development experience with strong Swift skills, building high quality iOS apps, • Deep understanding of Swift and the iOS SDK, including:, • Swift concurrency (async/await, Task, actors), structured concurrency, and modern GCD usage, • SwiftUI for building production UIs; familiarity with UIKit and interoperability is a plus, • Experience with Combine or other reactive patterns, and when to prefer them vs. async/await, • Strong grasp of iOS architecture (e.g., MVVM, Clean Architecture, modularization) suitable for AI‑powered, stateful, and real‑time features, • Solid understanding of JSON, REST, WebSockets, streaming APIs and robust networking layers (error handling, retries, offline support), • Experience with offline storage, background processing, threading and push notifications, • Curiosity about new interaction models (chat, agents, multimodal UI, etc.), • Experience using AI development tools (e.g., Claude Code, GitHub Copilot, etc.) as part of your workflow, with good judgment about code quality and security, • Familiarity with LLM‑driven features (prompt design, integrating LLM APIs, handling latency, fallbacks, guardrails) and/or conversational UX, • Track record building consumer‑facing apps; ideally you’ve shipped to the App Store and iterated from user feedback and metrics, • BS in Computer Science or related technical field Navan uses AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications for this role. All final decisions are made by human recruiters and hiring managers. Human oversight: Metaview does not automatically reject candidates or make final hiring decisions. Our recruiters and hiring managers review all outputs and make the final hiring decision regarding every application. Navan (Nasdaq: NAVN) is the global AI-powered business travel and expense platform that makes travel easy for frequent travelers. From finding flights and hotels, to automating expense reconciliation, with 24/7 support along the way, Navan delivers an intuitive experience travelers love and finance teams rely on. See how Navan customers benefit and learn more at navan.com . Our team is our competitive edge — a high-performance group of smart, driven people committed to winning together. This dedication to excellence is why we’ve been recognized as a Best Place to Work by Built In (2023–2026), a G2 Best Global Software Company (2025–2026), Forbes Cloud 100 (2022–2025), and CNBC Disruptor 50 (2022–2025). At Navan, we provide an environment where top talent excels, offering the autonomy and fast-paced trajectory needed to build a defining career and do the best work of your life. Navan offers a comprehensive benefits program designed to support your well-being, financial security, and life outside of work. Our benefits, thoughtfully tailored by country to meet local needs, include healthcare coverage, insurance offerings, and wellness resources for you and your family. We support long-term financial growth through retirement savings programs and opportunities to participate in our equity plans, so you can share in Navan’s success. To promote balance, we offer flexible time off, country-specific holidays, and paid parental leave for all new parents. Additional benefits include connectivity and commuting support*, mental health resources, and exclusive travel-related perks. Wherever you’re based, our benefits evolve with you. Navan believes in the value of in-person connections, whether that’s sitting down to have lunch with one another, taking a walking 1:1, or collaborating in a room together. The connections forged through face-to-face interactions improve company culture and drive business results. Navan invests in global office spaces — in the U.S., Europe, and Asia, among others — that feel welcoming. In-office perks such as company-provided lunches and happy hours create a strong team environment to help you do your best work. Our employees work from the office four days a week. Please expect this policy for all roles that are tied to an office. Navan complies with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local law. Navan will reasonably accommodate qualified individuals with a disability in connection with applications for employment as required by law. As part of the recruitment process, certain personal data may be processed using automated tools, including tools that use AI. For details on how Navan collects and uses your personal data, please review Navan's Candidate Privacy Notice here . #J-18808-Ljbffr

Are you passionate about ensuring high-quality software through robust testing and automation strategies? Do you enjoy identifying defects early and improving systems to deliver seamless, reliable user experiences? The Search and AI Platform is Elsevier's agentic data platform, which powers products such as Scopus, ScienceDirect, and our next-generation AI-powered search systems. The platform uses agentic services to interrogate our rich knowledge graphs, search and recommendation systems, and our unparalleled collection of research data to deliver insights to the scientific community so they can collaborate more effectively, work smarter, and deliver quality research more quickly. We are looking for a Quality Engineer to join the Search and AI Platform team. This is a hands-on, automation-first role focused on API and service-level testing, with quality embedded throughout the development lifecycle rather than validated at the end. You will work closely with software engineers, quality engineers and technical leads to ensure our search and retrieval services are reliable, scalable, and safe to consume by downstream product teams. You will be able to analyse complex systems, contribute meaningfully to engineering discussions, and take clear ownership of quality outcomes across your areas of the platform. • Design, implement, and maintain automated test suites for APIs and backend services using Karate, Cucumber with RestAssured., • Write clean, maintainable, and reliable automated tests in Java that provide fast, accurate feedback to the team., • Validate functional and non-functional behaviour of search and retrieval services, including error handling, reliability, and service interactions., • Contribute to contract testing and service-level testing strategies across our REST and evolving GraphQL APIs., • Integrate and maintain automated tests within CI/CD pipelines, supporting testing at multiple levels of the stack., • Use observability tooling such as New Relic and logging to support diagnosis, monitoring, and quality analysis., • Technically analyse problems and proposed solutions, recognising the right level of detail and abstraction to contribute to and lead engineering discussions., • Contribute to incident reviews and post-mortems, improving test coverage to prevent repeat issues., • Work with engineers early in the development process to shape acceptance criteria, surface edge cases, and improve overall testability., • Good years of experience in software testing or quality engineering., • Strong experience of API testing and/or contract testing, data formats, and service interactions., • Strong coding and scripting ability in Java., • Hands-on experience with Karate, Cucumber with RestAssured., • Good exposure to CI/CD pipelines, supporting the integration of testing at various levels of the stack., • Exposure to observability tooling such as New Relic or logging., • The ability to technically analyse a problem and a solution, recognising the right level of detail and abstraction to lead discussions., • Willingness to take ownership of assigned areas and continuously improve quality outcomes., • Experience working in Agile/Scrum teams., • Performance testing experience., • Familiarity with GraphQL APIs and service-level or contract testing approaches., • Experience testing shared services or internal platforms., • Knowledge of Kubernetes (EKS)., • Interest in search, AI, or data-oriented systems. Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. • Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. We know that your well‑being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: • Comprehensive Pension Plan, • Generous vacation entitlement and option for sabbatical leave, • Maternity, Paternity, Adoption and Family Care Leave., • Personal Choice budget, • Internal communities and networks, • Various employee discounts, • Recruitment introduction reward, • Employee Assistance Program (global) A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well‑being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights. #J-18808-Ljbffr

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. As a Site Reliability Engineer (SRE) on the Cloud Platform team, you will shape the reliability, scalability, and performance of our Cloud platform and customer-facing applications. You’ll work closely with software engineers and product teams to ensure our systems meet and exceed the expectations of both internal and external customers. This role is critical in maintaining the stability and efficiency of our infrastructure, enabling seamless experiences for users and developers. Your expertise will directly impact the robustness of our AI platform, ensuring it operates at scale with minimal downtime. • Design, build, and maintain scalable, highly available, and fault-tolerant infrastructures to support our Cloud platform., • Operate systems and troubleshoot issues in production environments, including interrupts, on-call responses, and infrastructure scaling., • Implement and improve monitoring, alerting, and incident response systems to minimize downtime and optimize performance., • Develop and maintain workflows and tools for CI/CD, containerization, orchestration, monitoring, and logging., • Participate in on-call rotations to respond to incidents and perform root cause analysis to prevent recurrence., • Drive continuous improvement in infrastructure automation, deployment, and orchestration., • Collaborate with software engineers to enable safe and reproducible model-training experiments., • Build and enhance a cloud platform that abstracts infrastructure complexities for science and engineering teams., • Design and develop new workflows, tooling, and automation to improve system reliability, availability, and performance., • Ensure infrastructure adheres to security best practices and compliance requirements in collaboration with the security team., • Document processes and procedures to ensure consistency and knowledge sharing across the team., • A Master’s degree in Computer Science, Engineering, or a related field., • 5+ years of experience in a DevOps or SRE role, with strong expertise in bare metal infrastructure and distributed systems., • Hands‑on experience with site reliability issues, including root cause analysis, in‑production troubleshooting, and on‑call rotations., • Proficiency in working with reliability KPIs, such as observability, alerting, and SLAs., • Experience with CI/CD, containerization, and orchestration tools like Docker and Kubernetes., • Knowledge of monitoring, logging, alerting, and observability tools such as Prometheus, Grafana, ELK Stack, or Datadog., • Familiarity with infrastructure‑as‑code tools like Terraform or CloudFormation., • Proficiency in scripting languages (Python, Go, Bash) and a strong understanding of software development best practices., • Solid grasp of networking, security, and system administration concepts., • Excellent problem‑solving and communication skills, with the ability to work effectively in a collaborative environment., • Experience in an AI/ML environment, high‑performance computing (HPC) systems, or modern AI‑oriented solutions (e.g., Fluidstack, Coreweave, Vast) is a plus. We offer a comprehensive benefits package designed to support your well‑being, growth, and work‑life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location‑specific perks. For the most up‑to‑date details on benefits available in your location, please refer to our Benefits page. Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy. #J-18808-Ljbffr

Hey! We're team Granola 👋 If you haven't already, you should check out what we're building, and why you should work here. We are looking for a self-starting engineer, passionate about applying the latest advancements in LLMs to create user-centric products. In this role, you will stay on top of the latest LLM trends, build evaluation frameworks for AI features, and apply your knowledge with a product-oriented focus. You will be an integral part of the founding team, interacting directly with users to understand their needs and rapidly developing features that deliver significant value. Your work will be pivotal in scaling Granola to its next 100x growth milestone. • Own the development and application of LLM-based features end-to-end, • Build and maintain evaluation frameworks for prompt iteration and semantic retrieval, • Optimize embeddings and vector stores for performance and scalability, • Interact with users to understand their problems and design solutions, • Stay up-to-date with the latest trends in LLMs and applied AI practices, • Collaborate with a cross-functional team of engineers, product managers, designers, and other members to create a cutting-edge product, • Engineering experience at tech and product-driven companies, • Shipping multi-provider LLM-based solutions to production (using e.g. OpenAI, Anthropic, Google, etc.), • Proficiency with LLM infra platforms (prompt management, logging/tracing, evals), • Experience designing large-context LLM systems (RAG, knowledge graphs, hybrid search, memory), • Building features end-to-end with TypeScript, React.js, and Node.js, • Are first and foremost a builder., • Are excited to work in-person from our office in London (most of the time), • Love working in a startup environment (you either have experience working in a startup or are really drawn to the zero-to-one phase), • Want to be at the cutting edge of building world-class products on top of language models, • Are fascinated by LLMs. You love to play with them, figure out what makes them tick and get them to do what you want. You scour the web and reddit for others doing the same (you probably follow @goodside on twitter), • Value working with people who are kind, ambitious and pragmatic We are living in the most exciting time for tool builders since Engelbart's demo in 1968. We want to assemble the best crew to build this future together, here in London. Our compensation philosophy is to pay slightly above market on salary and above market on equity. We do our best work in person, and so our team spends time together five days per week in our new, bright, and spacious office at Old Street. We are happy to offer relocation assistance to candidates who’ll be moving to London to join us. Lastly, we think amazing talent comes from all kinds of life journeys and experiences. If what is written above speaks to you, whether you look like a fit on paper or not, please reach out. #J-18808-Ljbffr

Our client is an early-stage AI research lab in London working on fundamental questions in machine learning. Their research runs at very large scale, and compute and infrastructure are central to how quickly the team can test ideas and make progress. They’re now building out their platform team, and you’d be one of its first hires. • You’ll make core design decisions while the platform is still being built, not maintain someone else’s setup, • You’ll run and grow the Kubernetes estate, including containerised services and internal tooling, • You’ll manage how GPU workloads are queued and allocated across a large cluster, using schedulers such as Kueue and KAI, so the hardware is used well, • When hardware fails or the cluster has an incident, you’ll investigate the cause and put fixes in place that stop it coming back, • You’ll build and maintain infrastructure on GCP, alongside other major cloud providers, • You’ll set up logging, metrics and dashboards that engineers and researchers actually use to spot and fix problems, • You’ll improve the internal developer setup (networking, machine provisioning, containerised dev environments) so researchers spend less time fighting their tools, • You’ll write the code behind the platform, mainly in Python, with Rust where it fits, • You’ll have room to take the role where the research team needs it most, • You’ve run Kubernetes in production at a serious level, • You’ve built and owned monitoring and logging for complex systems, • You know cloud infrastructure well; GCP is preferred, but AWS experience is also welcome, • You write solid, production-quality Python, • Rust experience, • Experience with Cody, • Some exposure to ML workloads, particularly how GPU jobs are scheduled and shared, • Experience improving engineers’ day-to-day tooling and local environments, • You’ve worked in platform, DevOps or infrastructure at a well-known big tech company or major AI lab, • Market-leading compensation (bonus + equity), • Working model: Hybrid #J-18808-Ljbffr

Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards. As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously. We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications. As a Rapid Prototyping Engineer, you will sit at the intersection of mechanical design, electrical integration, and hardware iteration. You will translate complex concepts and incomplete designs into functional, flight-ready physical prototypes for Helsing's advanced drone platforms. Working closely with design and test engineers, you will own the full build cycle from concept through to field testing, identifying integration bottlenecks, developing custom hardware solutions, and keeping Helsing's developmental fleet operational and ready for flight. Your work directly enables faster learning cycles and more capable platforms, with tangible impact on the pace and quality of Helsing's hardware development programme. • Design, fabricate, and assemble flight-ready prototypes, covering complex folding structures, deployment mechanisms, and integrated avionics bays, translating incomplete or evolving designs into testable hardware on short timescales., • Modify airframes, build custom electrical wiring harnesses, and integrate power distribution and avionics systems to sustain rapid iteration across Helsing's developmental drone fleet., • Integrate and configure flight control platforms (PX4, ArduPilot, or equivalent autopilots), flash firmware, calibrate onboard sensors, and resolve system anomalies during bench and pre-flight testing., • Plan and execute functional and lifetime test campaigns in the field, using telemetry data to close the loop between physical results and CAD model refinement, maturing prototypes through successive iterations., • Collaborate with design and test engineers to surface integration risks early, delivering targeted hardware solutions that keep the developmental fleet on schedule and mission-ready., • Have taken unmanned aerial systems (multicopter, fixed-wing, FPV, or ISR platforms) or highly complex mechanical or robotic systems through the full cycle from concept to physical assembly to field testing., • Are proficient in 3D CAD (SolidWorks/PDM or Siemens NX/Teamcenter) and have applied structural validation techniques, including FEA, to aerospace or UAV hardware, with a solid understanding of GD&T., • Are skilled in workshop fabrication, with hands-on experience working with composites, metals, 3D printers, precision hand tools, and soldering stations to build, modify, and reinforce structures., • Have practical experience integrating and troubleshooting flight control platforms, payload electronics, and power distribution systems on UAV or similarly complex platforms., • Are comfortable working with incomplete documentation and evolving requirements, taking end-to-end ownership of outcomes and applying sound engineering judgement to keep work moving forward. Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don't meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. • Practical background flying, testing, and operating drones in field environments (multicopter, fixed-wing, or FPV), including familiarity with Hardware-in-the-Loop (HIL) test environments and automated telemetry or data-logging hardware., • Hands-on knowledge of structural composites, including carbon fibre layup and vacuum bagging, and experience with advanced aerospace materials., • Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns, • The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world, • Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward, • In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts, • We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about, • Competitive salary and VSOP options, • Relocation support: up to €2,500 and 4 weeks temporary accommodation, • Learning: €500/£450 yearly allowance, • Health & wellness: gym membership and mental health support (Nilo.health), • Social: regular company events and monthly social allowances, • Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers, • Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work, • A hands-on onboarding program (affectionately labelled "Infraduction"), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation. Helsing's Candidate Privacy and Confidentiality Regime can be found here. #J-18808-Ljbffr

Our client is an AI-native workspace initially designed for investment banking, private equity, consultancies, and asset managers. You will work alongside two well-known founders who successfully sold their last two YC-backed companies. With strong product-market fit and live production deployments at some of the world's largest and most prestigious institutions, the team is working around the clock across offices in New York, London, and Hong Kong to become the leading AI application platform for enterprise. Job Description: We are seeking an experienced Senior Infrastructure Engineer to lead the design, implementation, and maintenance of our cloud systems as we scale. This role is ideal for someone who thrives on building robust, secure, and cost-efficient Infrastructure/Security/DevOps infrastructure that empowers engineering teams to deliver quickly without sacrificing reliability or compliance. You will be the driving force behind our DevOps, observability, and compliance readiness, ensuring our systems are audit-ready, highly available, and optimized for both performance and cost. Key Responsibilities • Architect, implement, and maintain cloud infrastructure to support rapid product growth., • Prepare infrastructure for SOC 2 / ISO 27001 audits, aligning with customer expectations., • Build and maintain CI/CD pipelines for backend, frontend, and data services to enable rapid, reliable releases., • Drive product-wide systems for logging, metrics, tracing, alerting and on-call processes., • Monitor and control cloud costs, identifying opportunities for optimization without sacrificing performance., • Act as the internal advocate for operational excellence. What you can expect: It won't be easy; in fact, it will be very hard. BUT, it will be a lot of fun. You need to be comfortable in being uncomfortable; timelines will change, priorities will most likely shift. Be prepared to sacrifice your work-life balance in exchange for joining an incredible journey and learning a lot along the way. Requirements: • Technical stack: Azure (also AWS is a plus), Terraform, AKS (Kubernetes), Docker, Github actions., • Observability: Experience implementing logging, metrics, and tracing frameworks., • Security: Familiarity with best practices, secrets management, and security scanning tools., • Networking: Solid understanding of VPCs, private networking, DNS, load balancers, VPNs, and firewalls., • Databases & Storage: Experience with provisioning, scaling, and managing production-grade databases (PostgreSQL, MySQL, NoSQL) and blob storage., • Scripting & Automation: Strong skills in Python or Bash for automation and tooling., • Experience 4–7 years of relevant experience, ideally including startup or high-growth/high load environments., • Proven track record of owning infrastructure end-to-end — from architecture through production support., • Experience implementing reliability, security, and compliance measures ahead of scale-up or audit readiness., • History of driving cost efficiency while enabling growth., • Exposure to SOC 2, ISO 27001, or GDPR compliance processes. What We Offer: You will be reporting directly to the founders, who have two successful venture-backed exits under their belt. Competitive salary + equity Supportive and innovative work environment. • Mid-Senior level, • Full-time, • Information Technology, • IT Services, • IT Consulting, • Financial Services #J-18808-Ljbffr

At PDT, technology is a core driver of our business. Engineers tackle complex technical and quantitative challenges that advance our research methodology and investment approach. We hire exceptionally talented engineers and give them room to grow in a dynamic, supportive environment. The people who thrive here value breadth, continuous learning, and long-term investment in their craft. They find energy in growth that comes from rotating through different teams across the organization. This kind of mobility is central to how we work, allowing engineers to build deep, varied skills and make meaningful impact over time. Our hiring reflects this collaborative culture. We assess every candidate against one talent bar firmwide, then match engineers to the teams that best set them up for success. As a Software Engineer at PDT, you'll build and maintain the technology that powers our quantitative trading business from the data that drives our models to the systems that execute every trade, and everything in between. This is a hybrid position and will require the person to work from our London office at minimum 3 days a week • Builds and maintains the common infrastructure, including distributed locking, centralized logging, metrics, and container orchestration, to drive automation, reliability, and performance at scale., • Engineers, architects, and operates PDT’s cloud and research environments, ensuring reliable and scalable infrastructure across the firm., • Onboards and manages all external datasets consumed across PDT, building and maintaining the infrastructure to reliably download, parse, and validate data at scale., • Develops firm-wide frameworks and serve as a technical resource for researchers., • Engineers and maintains the systems that track trades, positions, and PnL, and reconcile the firm's view against brokers and fund administrators at scale., • Builds and evolves the reporting infrastructure and internal tooling that accounting, compliance and operational teams depend on., • Owns and evolves PDT's core software stack, including packaging, builds, versioning, and CI/CD, while continuously identifying and closing gaps across the developer ecosystem., • Engineers the real-time and historical systems that monitor trading activity, including PnL, alerting, and risk, and builds the tools that enable teams to diagnose issues fast and intervene with confidence., • Develops and operates the real-time market data and trading platforms that connect PDT to brokers and venues globally, including order management, exchange connectivity, and execution infrastructure. PDT Partners has a stellar 30+ year track record and a reputation for excellence. Our goal is to be the best quantitative investment manager in the world measured by the quality of our products, not their size. PDT’s very high employee-retention rate speaks for itself. Our people are intellectually extraordinary, and our community is close-knit, down-to-earth, and diverse. We want engineers who thrive where creativity and energy drive the solutions. At PDT, you’ll tackle hard problems collaboratively, with the focus, agility, and independence to assess a challenge and act. Your work directly shapes our success. For the right talent, the growth potential is enormous. • 3+ years of professional software development experience, • Bachelor’s or Master’s degree in an Engineering or Applied Sciences field from a rigorous academic program or equivalent professional experience, • Experience designing scalable and highly reliable software systems, • Significant experience programming in an object-oriented programming language, • Experience in and enthusiasm for scoping requirements and collaborating with colleague-clients, • Knowledge of, or interest in, trading and finance is beneficial, but not required. PRIVACY STATEMENT: For information on ways PDT may collect, use, and process your personal information, please see PDT’s privacy notices. #J-18808-Ljbffr

Type: Fixed-term or Full-time Location: London · On-site · May require occasional travel Compensation: £65–85k/year, in accordance with experience We are building integrated human and non-human motion-capture and neurophysiological recording systems for both controlled lab studies and naturalistic, in-the-wild data collection. We are looking for an experienced researcher engineer that is hands-on to own the London capture site across both lab and field settings: set up and run the hardware, import and enforce best-practice capture protocols, and ensure every session executes reliably and reproducibly. This is an operational role: you'll take defined capture standards and make them run at scale, not design the science. Implement and maintain streamlined, minimal capture protocols Import and operationalize best-practice standards for human mocap Prepare and run recording sessions Maintain clear SOPs and documentation Ensure sessions are reproducible and well logged Set up and maintain motion-capture and neurophysiological recording systems Integrate all devices on a shared clock (video, kinematics, physiological streams) Troubleshoot signal, sync, and capture-quality issues Assemble and maintain multi-camera / multi-sensor rigs Manage equipment inventory, calibration, and camera setup Oversee lab layout and capture-space setup Maintain structured data storage, formats, and backups Coordinate procurement and supplier communication Core (essential) Experience with human motion capture (marker-based, markerless/computer-vision, or IMU-suit systems) Multi-camera calibration and time synchronization Strong hardware troubleshooting ability Comfortable with embedded systems Basic Python scripting Organized and systematic; disciplined about documentation and reproducibility Valued Hand / finger kinematics capture and video pipelines Structured data formats (e.g. HDF5) and reproducible data logging Experience with physiological recording systems (EEG or similar), or willingness to cross-train #J-18808-Ljbffr

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we’ll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you’ll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else. When you join us, you will have: • Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast‑paced learning experience, owning your journey., • A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes., • Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences., • World‑class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well‑being for you and your family. As a Software Engineer, you will collaborate with a global network of technologists, designers, and strategists to help clients transform their businesses through innovative digital solutions. In this hands‑on role, you’ll develop cutting‑edge products, mentor client teams, and shape engineering cultures while growing your expertise across diverse industries and technologies. In this role, you will work hands‑on with clients across industries to bring their digital ambitions to life. You will develop software products and services from the ground up while coaching and mentoring client teams on engineering best practices, user‑centric design, and Agile values. By co‑creating with clients and their leadership, you’ll help build not only cutting‑edge products but also the technical capabilities and cultures needed to sustain them. Your work will drive meaningful change for clients and their industries. You will participate in cross‑functional problem‑solving sessions with client leaders, shaping their digital strategies and delivering solutions that go beyond the product itself. Your efforts will help clients build scalable teams and engineering cultures that enable long‑term success. You will collaborate with clients across industries to turn their digital ambitions into reality through hands‑on technical expertise. Based in one of our global locations, you will be part of QuantumBlack AI by McKinsey, a multidisciplinary group of software engineers, AI engineers, data scientists, and technology consultants passionate about creating industry‑shaping products and tools. At McKinsey, you’ll grow as a technologist and leader. You’ll work across diverse industries and technologies, learning something new with every project. With opportunities to contribute to digital strategies, build impactful products, and mentor others, you’ll have the freedom to chart your own path and grow in the areas that excite you most. • Undergraduate or master’s degree; or equivalent experience, • 2‑5+ years of experience developing full‑stack applications by writing code that is readable, testable, maintainable, and scalable, • Demonstrated experience working collaboratively with other developers, as well as technical and non‑technical people within software teams, • Hands‑on experience and willingness to learn across frontend (TypeScript, React, Angular, Vue, Next.js, Tailwind), backend (Python, Node.js, Java/Spring, C#/.NET), and databases (SQL, NoSQL, vector databases, ETL), • Experience with LLM frameworks, prompt orchestration, agent frameworks, MCPs, evaluation frameworks, and cloud platforms (Azure, AWS, GCP), including Docker and CI/CD, • Strong focus on automated testing, logging, monitoring, and overall system reliability, • Experience working in Agile teams, including active participation in sprint ceremonies, • Experience pair programming collaboratively with other developers, • Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment, • Strong communication skills, both verbal and written in English, with the ability to adjust your style to suit different perspectives and seniority levels #J-18808-Ljbffr

Hi there! Thanks for stopping by our job ad. We’re London’s largest and fastest 100% full fibre broadband provider, bringing better internet to Londoners since 2013. Unlike most providers, we build, own and operate our dedicated fibre optic network and install it directly into the home, meaning we can deliver a super-fast connection at prices the national providers find hard to beat. We’re a relatively new company to the market, but since establishment: • We’re the only provider in London offering residential broadband speeds of up to 5Gbps., • Our network covers 1.3 million properties in London, which is more than one third of homes in the UK’s capital city., • We have over 800,000 properties under wayleave agreement and are currently working in partnership with more than 200 of London’s biggest landlords., • We have connected 720 community spaces in 24 boroughs, giving more Londoners free access to fast, reliable broadband. We’re proud of our achievements so far, but we are not complacent and definitely not stopping here. To help us get to our future, we’re looking for forward thinkers, people with big ideas, people passionate about technology and most importantly hard working team players to join us and be a part of our growing business. • The Systems Administrator will be responsible for the day-to-day management, security, maintenance and compliance of the organisation's internal infrastructure platforms., • Be part of project teams as required to renew current systems and deploy new solutions., • Ensure that all internal infrastructure remains secure, supported, patched and compliant with the organisation's security policies and UK Telecommunications Security Act (TSA) requirements. See Regulation 12 / Chapter 11 – Patching & Updates of the TSA supporting the o organisation's ongoing external security and TSA audits as required., • Diagnose, troubleshoot and resolve software, hardware and infrastructure-related network issues, working with Network Engineering and Network Operations teams as appropriate., • Ensure that operating systems, applications, infrastructure platforms and supporting services are maintained with current security patches, vendor bug fixes and security updates., • This is a proactive, hands-on role focused on preventing security and compliance issues rather than simply responding to them. Proactive Systems Administration • Install, configure and maintain software, hardware and operating system features and policies in support of the Network Engineering and Operations function., • Ensure proper and secure storage, backup and retrieval of systems and data., • Identify areas for improvement, end-of-life notifications and other systems issues., • Assist the Network Operations Centre on complex/pervasive problems., • Replacement of failed components on-site as required., • Ensure that documentation is updated according to company requirements., • Own the operational infrastructure activities required to maintain compliance with UK Telecommunications Security Act (TSA) requirements and associated security obligations., • Ensure operating systems, applications and infrastructure platforms receive security patches, vendor bug fixes and firmware/software updates within agreed timescales and defined security and hardening standards., • Monitor vendor security advisories and vulnerability notifications and assess their relevance and impact., • Identify and remediate vulnerabilities across the infrastructure estate based on risk and defined remediation SLAs., • Ensure infrastructure remains within supported vendor versions and identify end-of-life or unsupported systems., • Work closely with the Security, Network Technology and IT teams to identify and address security risks., • Support security incident investigations and remediation where infrastructure is involved., • Ensure appropriate logging, monitoring and alerting is implemented across managed infrastructure., • Maintain secure configuration baselines and ensure systems remain aligned with them., • Comply with all external audit and assurance requirements as required in TSA regulations. The Engineer should have a minimum of 5 years of experience working in a server, storage and a networking environment. Strong hands-on experience maintaining, troubleshooting, securing and patching: • DNS – strong understanding of DNS architecture, zones, records, recursion, authoritative DNS, DNS security and DNS troubleshooting. Experience with BIND or equivalent DNS platforms., • DHCP – administration, configuration, troubleshooting and patching of DHCP services, including high-availability configurations., • NTP – administration and maintenance of NTP services, including secure time synchronisation and troubleshooting of time drift and synchronisation issues., • NetBox / IPAM / DCIM – administration, maintenance, upgrades and integration with network automation and source-of-truth processes., • Ability to assess vendor security advisories and determine the appropriate patch, software upgrade or mitigation required for these platforms., • Experience planning, testing and implementing infrastructure upgrades while minimising service disruption., • Strong understanding of infrastructure vulnerability and patch management., • Proven experience maintaining systems against defined security patching SLAs including via automation., • Ability to identify, assess and remediate security vulnerabilities and software defects., • Experience applying vendor security patches, bug fixes, maintenance releases and major software upgrades., • Ability to manage emergency security updates for critical vulnerabilities., • Experience maintaining evidence of patching and remediation for TSA, security and external audit compliance., • Understanding of security hardening and secure configuration baselines., • Experience using vulnerability management/scanning platforms such as Tenable, Qualys or equivalent., • Understanding of CVEs, CVSS scoring and vulnerability risk assessment., • Ability to document and manage patching exceptions where immediate remediation is not possible., • Familiarity with logging platforms and event correlation., • Experience with data replication, backup, and recovery strategies., • Next generation firewall experience, • Scripting Languages – e.g. Bash and Python, • DNS (ISC BIND), • DHCP (ISC Kea, FreeRadius), • Palo Alto, • Dell PowerEdge and PowerVault, HPE ProLiant, Supermicro, • Elasticsearch/OpenSearch, Logstash, Filebeat, • NetBox, • Ansible, • Virtualisation, • AWS, • Puppet, • Terraform, • Linux Operating Systems, • Databases – e.g. NoSQL, MySQL, PostgreSQL, • You get to work with some of the best technology in the market, • Be part of an exciting scale up business where you can bring your ideas, bring your knowledge, we value your contribution, • We all love time off whether that’s going on an exotic holiday or a staycation, you’ll get 25 days holiday to enjoy, increasing by 1 day for each year of service up to 28 days, • Birthday leave, our treat to you, • Keen cyclist, join our cycle to work scheme, • Flexible WFH policy, • Enjoy the perks of Private Health Cover, • You get to work with an amazing bunch of people We are an Armed Forces friendly organisation. We are an equal opportunities employer that values diversity in our team, we welcome applications from all backgrounds. #J-18808-Ljbffr

Finance is one of the most demanding and valuable environments in which to apply modern technology. You will work with complex enterprise data, mission-critical processes and high-impact decisions, using AI, data and engineering to reshape how organisations plan, control performance and allocate resources. The opportunity goes beyond building technically strong solutions: you will see how those solutions influence cash, profitability, risk and business growth, and take them from experimentation into trusted, production-ready capabilities. Working in Finance Reinvention allows you to remain close to leading-edge technology while developing an understanding of the CFO agenda, gaining exposure to senior decision-makers and building the commercial judgement needed to solve enterprise-wide challenges. This combination of deep technical capability, finance-domain expertise and measurable business impact creates a differentiated career path that is difficult to develop in a purely technology-focused role. Finance is one of the most demanding and valuable environments in which to apply modern technology. You will work with complex enterprise data, mission-critical processes and high-impact decisions, using AI, data and engineering to reshape how organisations plan, control performance and allocate resources. The opportunity goes beyond building technically strong solutions: you will see how those solutions influence cash, profitability, risk and business growth, and take them from experimentation into trusted, production-ready capabilities. Working in Finance Reinvention allows you to remain close to leading-edge technology while developing an understanding of the CFO agenda, gaining exposure to senior decision-makers and building the commercial judgement needed to solve enterprise-wide challenges. This combination of deep technical capability, finance-domain expertise and measurable business impact creates a differentiated career path that is difficult to develop in a purely technology-focused role. Core build capability for the practice. Responsible for engineering agents, the orchestration around them, the evaluation harness that establishes whether they perform, and the finance user surfaces through which they are operated. The role designs, develops, tests, deploys and operates production-grade AI applications and the services around them. Embedded within a delivery pod and working on client data from an early stage of each engagement, the role translates finance-process and control requirements into secure, observable and maintainable software. • Build and deploy agentic workflows into live finance processes, including reconciliations, journals, exception handling, disputes, collections and variance explanation, with clear acceptance criteria, human oversight and controlled failure behaviour., • Implement LLM application patterns including tool and function calling, structured outputs, RAG or graph-based retrieval, context and memory management, multi-agent orchestration, and prompt or configuration versioning., • Integrate with ERP and EPM systems, document repositories and workflow tooling, including the data extraction, transformation and error handling that integration requires, using secure APIs, events, identity controls and reusable connectors where appropriate., • Write evaluations, instrument agent behaviour, and ensure failure modes are visible and recoverable, using automated functional and non-functional tests, trace-level observability, red-team scenarios and measures for quality, groundedness, latency and cost., • Build the interfaces through which finance users review, approve, override and evidence agent actions, including provenance, citations, feedback capture, accessibility and clear error-recovery journeys., • Package and operate solutions using cloud AI services, containers or serverless components, CI/CD, infrastructure as code, secrets and configuration management, monitoring, release controls and rollback., • Work directly with finance users, process specialists, architects and data engineers to clarify requirements, challenge assumptions constructively, demonstrate increments and document operating procedures and runbooks., • Contribute reusable patterns and components back to the practice asset base, including tested code, evaluation assets, reference implementations and implementation guidance., • Strong software engineering discipline, including Python and at least one additional production language such as TypeScript or equivalent, version control, testing, CI, and maintainable code, together with SQL, API design, code review and secure coding practices., • Hands‑on LLM application development, covering tool use, structured outputs, retrieval and agent frameworks, including embeddings, vector or graph retrieval, prompt and configuration management, and integration with enterprise data or services., • Practical experience with evaluation, observability and LLMOps or AgentOps, including versioning, monitoring, release and rollback, and analysis of quality, latency and cost., • Understanding of secure enterprise integration and sensitive‑data handling, including authentication, authorisation, secrets, logging and PII‑aware design., • Ability to work client‑side and collaborate effectively with non‑technical finance users, translating their needs into testable requirements while explaining options, risks and trade‑offs clearly., • At least 6 years’ relevant professional experience, • Front‑end capability alongside back‑end, sufficient to deliver a usable interface independently, for example React, Next.js or an equivalent framework., • Prior exposure to SAP, Oracle, Workday, Anaplan or OneStream, or to finance processes such as close, planning, order to cash or procure to pay., • Experience with MCP, graph or semantic retrieval, data engineering, event‑driven integration or workflow orchestration., • Experience deploying software or data products on Azure, AWS or GCP, DataBricks, Snowflake, Palantir etc. using relevant cloud services and at least one of containers, Kubernetes or serverless patterns., • Delivery experience in a regulated environment or under formal responsible‑AI, security or model‑risk controls. N/A #J-18808-Ljbffr

Founded in 2018, we've already grown to be a 300+ team distributed across the globe, united by a singular mission: empowering people to take control of their health. Numan is transforming health: we've built a cutting‑edge platform that integrates diagnostics, medication, supplements, digital programmes, and doctor consultations. Giving people the tools they need to maximise life. To deliver on our transformative mission, we are guided by our 5 company values: • Patients first., • Learn fast., • Own the quality., • Succeed together., • Care deeply. Backed by top‑tier investors, Numan is already having a positive impact on hundreds of thousands of patients here in the UK, and we want you to help us deliver this mission! We build and operate a regulated digital health platform. Patients trust us with clinical data, identity documents and payment details, and our clinicians trust our systems to be correct. That makes application security a patient safety concern, not just a compliance one. We are shipping quickly, adopting AI and agentic systems across clinical operations and patient‑facing products, and running a lean security function that scales through engineering leverage rather than headcount. We need a senior engineer who can go deep on design and code, then bring the rest of the business along with them. This is a hands‑on individual contributor role with genuine influence over how the platform is built. You will work within the Cyber Security function, collaborating directly with Engineering, Product, Clinical, Legal, and the executive team. Security at Numan is not a gatekeeping function - it scales through influence, credibility, and being useful early. • Running threat modelling sessions with product and engineering teams on new features and architectural changes - STRIDE-based, with clinical safety, abuse, and business‑logic threats kept in mind alongside the technical ones., • Owning and evolving our Secure by Design process: self‑evaluation screening, secure design review, and the threat modelling pathway, including our use of automated tooling against technical artefacts., • Turning threat models into tracked, prioritised controls that engineering teams actually implement., • Pushing design decisions upstream so the cheap fix is designed in rather than the expensive one retrofitted., • Assessing and securing AI systems in production: LLM‑backed features, retrieval pipelines, agentic workflows, tool‑calling integrations, and the MCP and API surfaces that connect them., • Building practical threat models and controls for agent‑specific failure modes - prompt injection, tool misuse, excessive agency, data exfiltration through context, unsafe autonomy, and supply chain risk in model and plugin ecosystems., • Performing automated application and API penetration testing against our own products - web, mobile backends, cloud‑native services on GCP, internal tooling, and AI features., • Leading penetration engagements with third parties and working on the fix with engineering., • Chaining findings into realistic attack paths and demonstrating impact, rather than delivering a list of scanner output., • Embedding security into our pipelines: SAST, SCA, secrets detection, IaC scanning, container and dependency hygiene - tuned so signal beats noise and engineers trust the gates., • Working with platform and engineering to raise baseline standards: authentication and authorisation patterns, secrets management, tenancy isolation, and logging and detection coverage., • Actively participating in the security community - OWASP chapters or projects, local meetups, CTFs, research groups - and publishing research, write‑ups, or blog posts under your own name., • Brings substantial hands‑on application security experience in a product engineering environment, at senior level., • Has demonstrable threat modelling practice - not just familiarity with the theory., • Has practical offensive skills against modern web and API stacks, with an appropriate certification or equivalent demonstrable experience (OSCP, OSWE, CREST, Burp Suite Certified Practitioner or similar)., • Is comfortable reading and reasoning about code in at least one language used in production systems, and can review a pull request meaningfully., • Has working knowledge of cloud‑native architecture and its security model - ideally GCP, but AWS or Azure experience transfers., • Has experience integrating security tooling into CI/CD, and the scars to know what makes engineers ignore it., • Has a track record of shipping security improvements through other teams., • Has experience securing AI or agentic systems in production., • Has hands‑on experience securing Kubernetes environments and managing cl #J-18808-Ljbffr

In Digital Customer Experience we specialize in navigating our clients through the complexities of large-scale, technology-driven transformation programs, using our skills to drive outstanding delivery. Having the right people using the right methodology and following the right process gives every client the right result. The DevOps and Platform Engineering capability within Digital Customer Experience is a growing team of people dedicated to ensuring that the technologies selected and the way that they are implemented meet the business objectives of our clients. There are several disciplines within the Digital Customer Experience team: delivery, business, integration and digital architects and technical managers, and many of our people can perform in more than one of these roles. You will drive and coordinate DevSecOps, embedding security, compliance and automation into the software delivery lifecycle, ensuring platforms and applications meet stringent security and operational standards. This role requires deep expertise in CI/CD pipelines, delivery workflows and security tooling across multiple cloud environments, alongside strong collaboration with developers, DevSecOps engineers, infrastructure engineers and test teams. • Secure, automated CI/CD pipelines, • Security scanning integrated into build, test and deployment workflows, • Vulnerability lifecycle management, including allowlist processes and risk acceptance where required and secrets management and identity/access management, • Policy enforcement for workloads, container images and infrastructure, • Observability, monitoring, logging and audit controls. Tracking and remediation of technical debt and improving the quality of developed code, • Control and governance of change across the path to live, • Partner with developers to embed secure-by-design engineering and ensure compliance with client’s security standards and technical standards., • Enable and govern Infrastructure as Code (IaC) practices across teams and environments, • Contribute to incident response, patching cycles and compliance reporting, ensuring lessons learned are capture, actions tracked, and document security processes, controls and operational runbooks. You can bring your whole self to work. At Capgemini building an inclusive future is part of everyday life and will be part of your working reality. We have built a representative and welcoming environment, for everyone Proven experience as a DevSecOps Lead, establishing and operating DevSecOps ways of working and associated tooling across the following areas (hands‑on and leading others): • AWS or Azure, and networking fundamentals (e.g. IAM, network policies), • CI/CD and GitOps in a secure environment (e.g. GitHub Actions, Argo CD), • Security and compliance tooling (e.g. Trivy scanning and vulnerability management, HashiCorp Vault, cert‑manager), • Containers and orchestration (e.g. Docker, Azure Kubernetes Services, AWS EKS), • Infrastructure as Code (e.g. Terraform), • Observability (e.g. Grafana, Loki), • Scripting and automation (e.g. Python, Bash), • Demonstrated ability to work across cross‑functional teams, particularly with developers, testers and DevSecOps engineers., • Strong facilitation, communication and stakeholder management skills, with experience influencing at multiple levels. Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. • Declare they have a disability, and Meet the minimum essential criteria for the role. Please opt in during the application process To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements. Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality. Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process. We realise a Total Reward package should be more than just compensation. At Capgemini we offer range of core and flexible benefits and have a Peer Recognition Portal called Applaud. You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more. You’ll be bringing your unique skills and perspectives to the team, inspiring and taking inspiration from your teammates as you unlock value in everything you do. You’ll be joining a professional community of experts, who have got your back and will support you, every step of the way. Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free‑thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is. Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology, and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion. Make it real | www.capgemini.com #J-18808-Ljbffr

Aristocrat is a trailblazer in the gaming industry, committed to innovation and excellence in every aspect of our business. We are dedicated to crafting outstanding gaming experiences that captivate and delight users worldwide. As part of our dynamic team, the Automation QA Lead will play a pivotal role in driving our quality assurance initiatives to new heights. This is an outstanding opportunity to influence the future of our automation processes and ensure our products meet the highest standards of quality and performance. This is a hybrid role, with a mandatory requirement to work from the office three days per week. • Lead the development, implementation, and maintenance of robust, scalable, and maintainable test automation frameworks., • Support the Test Automation Manager in defining strategic roadmaps for automation projects aligned with business objectives., • Evaluate, implement, and optimize test tooling, including AI-assisted solutions, to support continuous integration and delivery., • Collaborate with QA teams, QA leadership, and Development teams to streamline testing procedures and align automation testing strategies with development processes., • Mentor a team of test automation engineers, driving technical direction for test automation across mobile, web, API, and microservices platforms., • Ensure automation guidelines are followed, providing feedback and suggestions for improvement., • Drive continuous improvement in automation architecture, tooling adoption, and coding standards., • Perform code and build reviews, encourage knowledge sharing, and technical upskilling., • Produce documentation and diagrams to communicate automation strategies effectively., • Manage automation infrastructure, including on-premises labs, cloud platforms, and third-party tools., • Lead knowledge-sharing initiatives through workshops, presentations, and demos., • Stay current with emerging automation technologies and industry trends., • Proven ability in crafting, assembling, and integrating test automation frameworks through popular tools (e.g., Selenium, Appium, TestRail, API automation solutions)., • Experience leading complex, multi-team testing initiatives in fast-paced agile environments., • Solid experience integrating automation within cloud-based CI/CD pipelines (e.g., Jenkins, GitHub Actions, Azure DevOps)., • Familiarity with database or microservices testing., • Experience with new technologies, such as AI/ML within projects., • Proficiency in programming/scripting languages: Java, Python, JavaScript, C#, or similar., • Demonstrated experience in a technical leadership capacity, with the capability to guide and enhance the skills of team members., • Completion of a bachelor's degree in a technical area or an equivalent level of practical experience., • Willingness to travel if needed to offshore teams (approximately 5 days per year)., • ISTQB/ISEB Advanced level certification., • Familiarity with LangSmith, DeepEval, Ragas, Promptfoo, or similar tools., • Experience with Agentic workflows, RAG applications, or AI evaluation pipelines., • Cloud certification (AWS, GCP, Azure)., • Track record of successful automation initiatives., • Understanding of how to develop software structured around core business concepts., • Experience with contract testing., • Experience in game development and mobile gaming industry, preferably Unity mobile applications., • Knowledge of security testing guidelines in cloud environments., • Experience with monitoring and logging tools (New Relic, Prometheus, ELK stack) and advanced reporting. Esta descripción del puesto puede haber sido revisada y optimizada mediante herramientas de inteligencia artificial con el fin de mejorar su claridad, coherencia e inclusión. En cualquier caso, todo el contenido final, los requisitos del puesto y las decisiones de contratación están sujetos a la revisión y aprobación de Aristocrat. Ofrecemos un paquete integral de remuneración y beneficios diseñado para seguir siendo competitivo en el mercado, apoyar tu bienestar y reconocer tu contribución a nuestro éxito. Nuestro enfoque se basa en una filosofía de remuneración por desempeño, recompensando el impacto individual. Tu paquete de compensación específico se determinará en función de factores como tus habilidades, experiencia, cualificaciones y ubicación. Dependiendo de tu puesto y ubicación, podrás optar a bonificaciones e incentivos anuales, beneficios de salud y bienestar, tiempo libre remunerado, planes de jubilación, cobertura de seguros y otros beneficios locales o establecidos por la legislación aplicable. Los detalles específicos sobre la compensación y los beneficios para este puesto se tratarán durante el proceso de selección. #J-18808-Ljbffr

Valarian Technologies is a dual-use technology company building critical tools to safeguard the future in an era of evolving global security challenges. We're rethinking security beyond traditional military domains, addressing asymmetric threats that impact our technological advantage, economic strength, and democratic institutions. We build Acra – the platform foundation for everything we do as a dual-use technology company. The platform’s name, rooted in the Greek word for citadel (or, fortress), reflects the design and purpose of our infrastructure-agnostic secure enclaves: protecting critical data. Some of the government and commercial workflows include: increased operational resiliency for mission‑critical systems and functions; enabling organizations to more quickly and widely adopt emerging technologies while ensuring the integrity of their intellectual property; information flow during disaster response scenarios, and zero‑trust / least‑privilege environments for M&A, attorney‑client privileged communications, etc. And we’ve only scratched the surface. At our core, we're driven by a shared mission and a belief in making a tangible impact on our world. Whether you join our London HQ or the wider global organisation, you’ll be a part of collaborative, high‑performing teams, creating cutting‑edge software, platforms, and infrastructure. As Head of Information Security at Valarian, you will define and lead our security strategy with a strong focus on protecting our digital ecosystem, spanning cloud infrastructure, SaaS platforms, and internal tooling. You’ll be responsible for securing how our organisation operates day‑to‑day: from identity and access across SaaS tools, to cloud architecture, to data protection across systems. This is a hands‑on leadership role combining strategy, architecture, and execution. You’ll work closely with Engineering, Product, Legal, and Leadership to embed security into everything we build, while evolving our compliance posture across ISO‑27001 and SOC‑2 (including expansion into additional controls). • Own and execute Valarian’s end‑to‑end information security strategy, • Lead and mature our security posture across compliance frameworks, including ISO‑27001, SOC 2, and expansion into additional control frameworks, • Design and implement scalable security architecture across cloud, infrastructure, and applications, • Partner with Engineering to embed secure‑by‑design principles into development workflows, • Build, manage, and continuously improve security policies, standards, and controls, • Lead risk management, threat modeling, and vulnerability management processes, • Oversee incident detection, response, and recovery planning, • Drive security awareness and training across the company, • Establish and manage identity and access management (IAM), SSO, and device security across the organisation, • Manage audits, certifications, and relationships with external assessors, • Establish metrics and reporting to provide visibility into security posture and risk, • Hire, develop, and lead a high‑performing security team as the company grows, • Proven experience leading information security in a cloud‑first, SaaS‑heavy environment, • Deep expertise in securing cloud infrastructure and modern workplace tooling, • Strong hands‑on experience with identity and access management, SSO, and zero‑trust approaches, • Experience managing and securing a broad ecosystem, including vendor risk and access governance, • Practical experience with SOC 2 and ISO‑27001, • Strong understanding of cloud security principles (networking, IAM, secrets management, logging, monitoring), • Experience implementing security tooling such as SIEM, EDR, and CSPM security platforms, • Track record of building scalable, pragmatic security programs in high‑growth environments, • Ability to balance strong security practices with usability and business velocity, • Excellent stakeholder management and communication skills across teams, • Experience building or scaling security teams (or readiness to do so), • A focus on real‑world risk reduction over checkbox compliance Our benefits are designed to ensure our employees feel taken care of and are proud to be a part of the Valarian team. We are committed to consistently enhancing our benefit package, taking into account the overall well‑being and needs of our teammates. Here are the key benefits accessible to all employees at Valarian Technologies: • Equity – because you have the right to own what you’re building, • A competitive salary – because we value your unique skills, • Employer pension contributions – because you deserve a secure future, • Hybrid work setup – because everyone has different needs, • Rewarding company retreats and meetups that respect your work/life balance – because we love getting to know each other! Our culture is built on inclusivity, compassion and flexibility – we want everyone to be empowered to achieve their goals at Valarian. The world is changing, and so is our way of working. If you want to join us in the London office – it’s quite nice! – you’re welcome to; and if you’d prefer to work remotely, that’s fine too. And as we build elegant solutions to simplify the complexities of business collaboration, we also simplify work life: contribute wherever and whenever allows you to be your best self. We trust each other to consistently raise the bar, and we challenge each other to continually reach new heights. Valarian Technologies Limited is an equal opportunity employer and welcomes applications from individuals regardless of race, colour, religion, sex, sexual orientation, gender, identity or expression, national origin, age, disability, genetic information, marital status, veteran, amnesty, or any other legally protected characteristic. We are committed to ensuring a fair and inclusive recruitment process and providing employment opportunities to all applicants. Decision recruitment, hiring, and employment are based solely on qualifications, skills, and experience relevant to the job requirements. #J-18808-Ljbffr

Staff Platform Engineer - We're working with a rapidly scaling AI-native SaaS company who raised an impressive Series B round in 2025. Their platform is redefining the sector, and with revenues nearly 10x since the start of last year, they're continuing to expand their Engineering team to match the ambition of their product and customers. The product is real-time, data-rich and AI-native, creating complex engineering challenges across distributed systems, reliability, infrastructure, tooling and developer experience. As they continue to scale their Engineering team, they are now looking for a Staff Platform Engineer with strong software engineering fundamentals to help shape the platform that allows product engineers to ship quickly, safely and reliably. As a Staff Platform Engineer, you'll treat the internal platform as a product, with engineers as your customers. This is a hands-on technical leadership role for someone who can design and build scalable systems, not just manage cloud infrastructure. You'll work across infrastructure, automation, CI/CD, observability and production reliability, while writing high-quality software in Go and helping set the technical standard for how engineering teams build and operate services at scale. You'll also play a broader Staff-level role across the engineering organisation, solving complex technical problems, influencing architecture, mentoring engineers and helping raise the bar for reliability, scalability and engineering quality. • Build and evolve platform infrastructure using Go, Terraform, Kubernetes and GCP, • Design reliable distributed systems that support a complex, real-time, AI-Native SaaS product, • Own and improve CI/CD pipelines, making builds, tests and deployments faster and safer, • Build automation and internal tooling that removes manual toil for engineering teams, • Improve observability across metrics, logging, tracing and production monitoring, • Define and manage SLOs across latency, availability and error rates, • Lead incident response, resolve complex production issues and ship long-term fixes as code, • Partner with product engineering teams to improve the path from code to production, • Provide technical leadership across teams, helping others make strong architectural decisions, • Mentor engineers and help raise the standard of platform engineering across the business, • Strong software engineering experience, with Go as a key language, • Experience designing and operating distributed systems in production, • Strong cloud infrastructure experience, ideally with GCP or AWS, • Deep hands-on experience with Docker and Kubernetes at scale, • Experience with Terraform and infrastructure as code, • Strong understanding of networking, IAM, managed services and secure cloud architecture, • Experience owning observability, logging, APM or distributed tracing tooling, • An SRE mindset across SLOs, reliability, incident response and toil reduction, • A track record of technical leadership, mentoring and delivering complex projects through others, • Strong systems thinking, with the ability to balance speed, quality and long-term maintainability, • Clear communication skills and the ability to influence how engineers build and operate services This is an amazing opportunity for a Staff Platform Engineer to join a fast-growing scale-up at a pivotal stage, working on complex distributed systems, real-time infrastructure, developer tooling and AI-native architecture. #J-18808-Ljbffr

• Competitive salary and compensation structure, • Generous paid time off and holiday schedule, • Frequent firm-wide social events and activities, • Excellent environment for learning and growth, • Further benefits, depending on location, • Competitive salary and compensation structure, • Generous paid time off and holiday schedule, • Frequent firm-wide social events and activities, • Excellent environment for learning and growth, • Further benefits, depending on location We are looking for Applied AI / ML Engineers, early in their careers, who are excited by the current generation of AI-native software development. This is a hands‑on builder role: you will help design, build, test and deploy practical AI workflows and data science capabilities using Python, LLMs, AWS and Claude Code. The most important attribute is that you already use modern AI tools to build faster and better. Claude Code is our primary way of building, so we want people who are fluent and fast with it, with the judgement to know when to check and use its output and when to change it. You should be equally keen to build and operate real systems in AWS, driving that infrastructure through Claude Code itself. You may come from a data science, machine learning, software engineering or technical STEM background. Traditional data science skills such as experimentation, model evaluation, data analysis and pipeline development are useful and welcome, but they are not the current centre of gravity for this role. The core of the job is building: AI‑native tools, automated workflows, and the infrastructure that turns ideas into deployed capabilities. • Use Claude Code and other frontier AI tools to accelerate development, prototyping, debugging and documentation., • Build practical LLM workflows, agents, skills and tools that support advisory teams, client delivery and internal operations., • Implement reusable AI capabilities using OpenWebUI, LiteLLM and MCP tools., • Work across prompting, context engineering, structured outputs, evaluation, provider routing and human‑in‑the‑loop workflows., • Move useful applications and automations quickly from prototype to production., • Review and improve AI‑generated code, not just generate it: read it, test it, and make it maintainable and safe to ship., • Stand up, deploy and operate the AWS services your tools run on, working with EC2, ECS, S3, Lambda, IAM and CloudWatch., • Increasingly drive and operate AWS directly through Claude Code, infrastructure‑as‑code and agentic tooling., • Support automated deployment, monitoring, logging, cost control and observability., • Apply DevOps and MLOps practices pragmatically, working with DevOps and engineering colleagues to keep systems reliable, maintainable and easy to operate., • Use Python, SQL and APIs to build applied AI and analytics capabilities., • Help process and enrich large volumes of text and unstructured content., • Contribute to workflows involving summarisation, classification, topic identification, sentiment, contextualisation, embeddings, vector search and RAG., • Help evaluate AI outputs for quality, reliability, cost and usability, and document approaches clearly so others can understand, trust and reuse them., • Take ownership of defined tasks, prototypes and production improvements., • Take direction well and level up quickly; you will be coached hard and expected to become faster and more independent over time., • Join hackathons, experiments and rapid delivery cycles, and stay curious about new AI tools, models and agentic patterns., • Share what you learn and help raise Penta’s practical AI capability. The Data Science team sits within Penta’s Technology function, alongside Development, Engineering / DevOps & Platform Security, IT and the PMO, and works hand in hand with Product and the advisory teams. We are rebuilding and expanding the team around a practical, AI‑native roadmap. The focus is not academic research or traditional data science in isolation; it is building useful, reliable AI‑enabled tools and workflows that improve how Penta serves clients and how our internal teams work. You will work under the VP / Head of Data Science, contributing hands‑on to applied AI systems, LLM workflows, agentic tools, reusable skills, internal automation and production‑ready capabilities. The environment is collaborative, pragmatic and delivery-focused. We move quickly, share ideas openly, and value people who can turn ambiguity into working software. You will build a lot, ship often, and be coached closely as you grow. We are forward‑thinking and ambitious in practically applying AI across client‑facing work, corporate teams, technology and data science. We do not train our own foundation models; we apply, orchestrate and evaluate the best available models from major providers, engineering them into robust workflows that solve real business problems. We validate and document our methodologies through white papers and technical explainers, setting out the academic and analytical foundations behind our products, and the evidence that supports their use. This helps build trust in our tools, why they work and shows how they can be applied. We build on open‑source AI software, including LiteLLM and OpenWebUI, to maximise the internal value of AI and build durable institutional capability. Reliability, cost control, observability, instruction‑following, usability and adoption matter most. The team designs reusable workflows, skills, models and MCP tools that support Penta’s move towards an AI‑native advisory operating system. Keeping Penta at the forefront of practical AI in PR, communications and strategic consultancy is part of the role. Success means you are helping Penta ship useful AI and data science capabilities into real workflows. Within the first few months, you should be contributing to working prototypes, internal tools, AI workflows, AWS deployments and production improvements. Over time, you should become increasingly independent in building reliable, maintainable AI‑native systems that improve client delivery and internal productivity. • Empathy and collaboration, • Pushing our ideas, • Facing adversity, • Ownership and leadership We do not expect candidates at this level to have deep experience in every area. We are looking for strong potential, practical ability, and clear evidence that you already build with modern AI tools. Hands‑on experience with at least one AI‑native building tool or platform is mandatory, and we will want to see examples of what you have made with it. • Hands‑on experience building with at least one modern AI‑native tool or platform, for example Claude Code, Codex, OpenWebUI, LiteLLM or Cowork / OpenCowork (or similar), with concrete examples of what you have built with it., • Strong Python coding ability: enough to build, read, test and debug real software., • Strong prompting and context‑engineering skills, and familiarity with using LLMs in real workflows., • Comfort with APIs, JSON, structured outputs and everyday developer tooling., • Basic to intermediate SQL., • Git version control., • Strong debugging, problem‑solving and self‑learning skills., • A bias towards shipping working software, not just analysis or notebooks., • Breadth across AI‑native tools, MCP tools and agentic frameworks., • Experience building small apps, internal tools, automations or backend services, and with Docker or containerised development., • Experience with embeddings, vector databases, RAG or semantic search, and with evaluating LLM outputs for quality, accuracy, cost and reliability., • Experience processing large volumes of text or unstructured content., • Any hands‑on AWS experience (EC2, ECS, S3, Lambda, CloudWatch, IAM, infrastructure‑as‑code or CI/CD) is a plus. You will also develop this on the job, increasingly by driving AWS through Claude Code., • Foundational machine learning knowledge, and classic NLP such as classification, clustering or model selection., • Experience with hypothesis‑led data science., • A technical degree in Computer Science, Software Engineering, Data Science, Machine Learning, Maths, Physics or a related field. Welcome, but not required if the building track record is there., • A practical builder who enjoys turning ideas into working tools., • AI‑native in how they work, using AI tools as a normal part of development., • Curious, fast‑learning and comfortable with ambiguity., • Technically rigorous without being academic for its own sake., • Sound in their judgement about AI output: healthily sceptical, and in the habit of testing and verifying rather than trusting blindly., • Comfortable asking questions and learning from senior colleagues., • Able to communicate technical ideas clearly to technical and non‑technical people., • Focused on usefulness, reliability, cost and maintainability., • Excited to help build an AI‑native advisory operating system. Penta Group is a global company providing data‑driven solutions to help clients achieve their objectives in an increasingly complex stakeholder environment. We provide cutting‑edge intelligence products to help clients understand what their stakeholders think, see, and hear, and then leverage that intelligence to develop and execute effective, measurable strategies. Our global team brings decades of experience in business, government, communications, research, data science, and media. Our clients include companies across a variety of industries, including technology, financial services, energy, healthcare, and more. Penta has offices in New York, London, Washington, DC, San Francisco, Dublin, London, Brussels, Singapore, and Hong Kong. #J-18808-Ljbffr

• Full-time, • Compensation: GBP 135,000 - GBP 175,000 - yearly Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. We are looking for a highly accomplished Senior Engineering Lead to take the helm of our newly formed Risk API Team within the Servicing Platform Squad. This is a critical, high-impact leadership role where you will simultaneously drive architectural strategy and scale the team responsible for the real-time transaction and user behavior risk assessment platform. Architectural Ownership: You will be the technical authority responsible for the design, delivery, and operational excellence of the high-throughput Risk API. Domain Bridge: You will operate as the primary technical interface between fast-moving Product teams and compliance-critical Financial Crime teams, ensuring clean, scalable API contracts and data governance. Team Foundation & Growth: You will be instrumental in hiring, mentoring, and leading the team, defining the engineering standards and best practices that will serve as the foundation for the entire Risk Assessment Group. Data Integrity & Scale: Your mandate includes enforcing robust Data Quality and Data Lineage standards across the platform, building solutions that can scale rapidly across multiple risk domains. You won't just be managing a platform; you'll be designing the core risk infrastructure and leading the team that protects the company and its customers on a massive scale. As the Senior Engineering Lead for the Risk API team, your focus will be split between technical strategy, architectural delivery, and team scaling in a high-stakes, cross-functional domain. Architecting the Risk Contract: Leading the design and implementation of the core Risk API. This involves defining robust API contracts and data schemas that serve as the critical interface between Product features and our FinCrime defense systems. Defining the Risk Assessment Ledger: Formalizing technical frameworks for the immutable logging of all platform-wide risk evaluations. You will spearhead the delivery of high-fidelity data streams for diverse stakeholders, ensuring absolute auditability and transparency - from granular system debugging to the generation of rigorous external regulatory reports. Scaling the Team and Culture: Actively managing and mentoring the current engineering team (IC2-IC4), while rapidly driving the recruitment strategy to grow the team. This includes defining clear roles, efficient processes, and a high-performance engineering culture. Strategic Stakeholder Alignment: Serving as the key technical partner to Product, FinCrime, and other Engineering Leads. You will champion the architectural vision for the platform, ensuring technical decisions align with both business agility and security requirements. Platform Resilience: Ensuring the platform is built for high availability, low latency, and massive scale, managing the operational health (SLAs/SLOs) of a critical, real-time risk service. Strategic Autonomy and Ownership: Proven ability to define and fully own the architectural roadmap and delivery pipeline for a mission-critical platform. Must operate with a high degree of independence, translating ambiguous goals into concrete engineering plans. Team and Process Scaling Acumen: Immediate capability to drive the full-cycle hiring process and define the core operating model, engineering standards, and performance culture necessary to scale a newly formed team rapidly (5+ engineers). Cross-Functional Decision Authority: The skill to step in as the primary technical decision-maker, swiftly resolving architectural conflicts and achieving alignment between demanding Product, FinCrime, and other engineering stakeholders. Leveraging Platform Expertise: A clear demonstration of how their prior experience in building and operating scalable Product or Service Platforms will be immediately applied to solve complex, company-wide integration and governance challenges in the risk domain. We’re people without borders — without judgment or prejudice, too. We want to work with the best people, no matter their background. So if you’re passionate about learning new things and keen to join our mission, you’ll fit right in. Also, qualifications aren’t that important to us. If you’ve got great experience, and you’re great at articulating your thinking, we’d like to hear from you. And because we believe that diverse teams build better products, we’d especially love to hear from you if you’re from an under-represented demographic. For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram. For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs. #J-18808-Ljbffr

• Must already hold or be eligible for SC level security clearance, • Remote - 1 - 3 x a month in London office An established organisation is seeking a Microsoft Security Engineer to help shape and enhance the security posture of the environments it supports. This role operates at the intersection of deep technical expertise, advisory ownership, and real-world security impact. The successful candidate will work closely with customers, engineers, and operational security teams to deliver meaningful improvements across identity, detection engineering, endpoint security, and cloud security posture. This is a hands‑on role involving the design and implementation of modern security architectures, solving complex technical challenges, and acting as a trusted technical partner. • Microsoft Sentinel Experience with alternative modern security platforms such as SentinelOne or CrowdStrike is advantageous. • Exposure to AWS or GCP (desirable), • Active Directory / Entra hybrid identity, • Windows Server and Linux, • KQL, • PowerShell, • API integrations, • Automation tooling, • Strong, demonstrable experience across the Microsoft security ecosystem., • Solid understanding of identity and endpoint security fundamentals., • Proven experience writing and tuning detection logic (e.g., KQL) for detection engineering and threat hunting scenarios., • Excellent communication and customer-facing skills, • Ability to work autonomously, solve complex problems, and deliver high-quality technical solutions., • Automation experience (PowerShell, Python, API integrations) and/or systems administration background., • Familiarity with security frameworks and incident response methodologies., • Experience working with logging pipelines (e.g., AMA, Syslog, Cribl, SIEM tooling)., • Exposure to non-Microsoft security platforms such as CrowdStrike, SentinelOne, or Tenable., • Experience producing architecture documents, diagrams, and technical design proposals., • Background in an MSSP, consultancy, or customer‑facing engineering environment., • Ownership of technical direction across engagements with the ability to influence customer security posture., • A blend of architecture, engineering, advisory, and hands‑on implementation work., • Exposure to a diverse range of environments, threat models, and operational challenges. #J-18808-Ljbffr

We are looking for brilliant engineers to join Monq. We’re pushing the boundaries of AI with next-generation agentic systems that autonomously negotiate high-value enterprise contracts in a $4.2T strategic procurement market largely untouched by AI. Our mission is to transform how enterprises negotiate critical deals, turning procurement from manual, intuition-driven work into a competitive advantage powered by intelligent AI agents. Data Engineers are the backbone of Monq, building the scalable data infrastructure powering our autonomous negotiation agents. You’ll work with AI engineers, product teams, and procurement experts to turn complex contract data, vendor information, and negotiation histories into reliable insights. We are building the data foundation for AI agents to parse deal terms, benchmark conditions, and optimise outcomes in high-stakes enterprise environments. Build Enterprise Contract Data Infrastructure • Design scalable ingestion pipelines for high-volume contract data, vendor systems, and procurement integrations, • Create advanced parsing for legal/procurement documents and multi-dimensional deal terms, • Build real-time data feeds for negotiation agents and decision dashboards Manage Strategic Procurement Data Architecture, • Define and evolve schemas for contract intelligence, vendor benchmarking, and negotiation analytics, • Build comprehensive data catalogues with discoverability and lineage, • Design models supporting optimisation across price, terms, risk, timeline, and relationship factors Ensure Enterprise-Grade Data Operations, • Own data quality, latency, completeness, and lineage for mission-critical pipelines, • Champion secure, governed practices for sensitive contract data, • Implement audit trails and compliance for high-stakes negotiations Enable AI-Powered Negotiation, • Work with AI, Platform, and Product teams to provision datasets and features for negotiation agents, • Build infrastructure for real-time contract analysis and vendor research automation, • Create pipelines integrating with SAP, Oracle, Coupa, GEP, and enterprise workflows Drive Operational Excellence, • Improve efficiency through testing, CI/CD, and cost/performance tuning, • Lead incident response and root-cause analysis, • Optimise infrastructure cost while maintaining enterprise-grade reliability Essential Qualifications, • 3+ years building enterprise-scale data pipelines in AWS or Azure, • Expert Python for production ETL, • Strong experience with batch/streaming frameworks (Spark, Flink, Kafka Streams, Beam) and orchestrators (Airflow, Prefect, Dagster) Preferred Qualifications, • Experience in contract/legal document processing or complex unstructured data, • Integration experience with enterprise systems (ERP, procurement, BI), • Experience supporting ML/AI models in production Technical Requirements, • Strong data modelling and schema design for enterprise datasets, • Advanced API ingestion (REST/gRPC), message queues (SQS, Kafka), SaaS integrations, • Expertise with RDBMS, NoSQL, data lakes, and warehouse architectures, • Deep knowledge of security, encryption, RBAC/ABAC, compliance, • CI/CD for data systems, IaC (Terraform), and enterprise deployment workflows Essential Skills, • Observability, metrics, logging, tracing, data quality frameworks, • Ability to collaborate with AI, platform, and business teams, • Understanding enterprise security, scalability, audit, and integration needs, • Strong problem-solving for multi-dimensional data challenges Competitive Package, • UK salary: £120,000–£130,000 (transparent, finalised post-process), • Significant equity stake, • Bi-annual performance bonuses tied to customer outcomes Work Environment, • Remote-first with quarterly gatherings, • Direct collaboration with Fortune 500 procurement teams, • Fully-funded annual AI innovation retreat Career Growth, • Visa sponsorship for exceptional candidates, • Define the future of AI-powered enterprise negotiations, • Mentorship from senior AI and enterprise software leaders Other Benefits, • No HR organisation, • Minimum 30 days annual leave + birthday day off, • Flexible hours, • Temporary work abroad up to 120 days/year (subject to nationality/tax rules) Initial Screening (30 min, only if needed), • Review background and motivation, • Overview of Monq’s data challenges, • Alignment on goals and expectations Online Assessment (45 min), • Technical data engineering and cultural fit Technical Architecture Interview (60 min), • Real-world pipeline design for contract processing, • System design for enterprise integrations, • Scalability, security, reliability discussion Problem-Solving Interview (45 min), • Deep dive into a complex data challenge Bar Raiser & On-site Collaboration (half-day), • Discussion with co-founder, • Work with data/AI teams on current pipeline issues, • Meet procurement/domain experts and enterprise stakeholders Monq is building the first AI platform for strategic procurement negotiation, creating a blue ocean in a $4.2T market overlooked by AI. Our team combines deep AI expertise with enterprise software and procurement experience. Backed by forward-thinking investors and leaders from Revolut and HSBC, we’re positioned to become the category-defining platform for AI-powered procurement. Every 1% improvement in strategic procurement represents a $42B market impact. We’re not just building software—we’re creating the future of how enterprises negotiate their most critical deals. Monq is an equal-opportunity employer. All applicants receive consideration regardless of protected characteristics. We encourage applicants from all backgrounds and believe diversity strengthens our ability to build AI that serves enterprise clients. We provide reasonable accommodations for applicants with disabilities. If needed, note this in your application or contact #J-18808-Ljbffr

the company is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, the company is the best-in-class solution for product, data, and marketing teams. Learn more at the company.com. As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. the company believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. As part of our Workplace team, you will be the face and soul of our UK office, and will be an essential part of building an incredible culture and employee experience. As our UK Workplace Lead, you will own the UK office management and on top of this, we want this person to have an EMEA wide overview driving consistency and improvements across all our 3 office entity locations in EMEA. You will work closely with the Workplace Coordinator in Amsterdam, the Head of Workplace globally as well as be a key partner for our SVP of International, local leaders, people team, finance and more. Office Operations and Facilities • Own daily facilities operations for the UK office, including walkthroughs to catch issues before employees report them, • Serve as the primary liaison to property management on maintenance, service requests, and building-wide notices, • Submit, track, and elevate maintenance work orders through to resolution, • Manage supply inventory for office, kitchen, and common areas; reorder ahead of need rather than after, • Coordinate desk moves, space reconfigurations, and seating assignments, • Keep conference rooms, common areas, and the reception area clean, stocked, and on-brand Vendor and Budget Management • Manage day-to-day vendor relationships and service agreements, including janitorial, catering, plants, and repairs, • Process invoices and purchase orders in partnership with Finance, • Track workplace spend against budget and flag variances early, • Source competitive bids for recurring services and one-off projects Employee Experience and Events • Run in-office programming on hybrid days, including snacks, team lunches, and happy hours, • Support logistics for all-hands, team off-sites, celebrations, and ad-hoc gatherings: catering, room setup, and coordinating with IT and AV, • Set up spaces for executive, customer, and board visits in coordination with the Security Coordinator, • Act as a core contributor to culture and engagement initiatives on the Workplace Experience team Onboarding Support • Coordinate new hire Day 1 logistics: desk assignment, workstation setup, and office orientation, • Partner with IT to ensure equipment is staged and ready in advance, • Hand off badge issuance and access provisioning to the Security Coordinator Cross-Functional Coordination • Partner with People, IT, and Finance on office-related projects and rollouts, • Serve as the escalation point for employee questions about the office, the building, and amenities, • Maintain and update workplace documentation, run-books, and internal office guides Safety and Emergency Preparedness • Support emergency preparedness protocols, including evacuation planning and floor warden coordination, • Coordinate with building management on safety inspections and fire drills, • Escalate anything touching workplace violence prevention, visitor screening, or incident logging to the Security Coordinator and Head of Global Workplace, • 2+ years in office coordination, workplace operations, facilities, hospitality, or administrative operations, • Strong organisational skills and the ability to hold multiple threads at once without dropping any, • Clear, warm written and verbal communication across every level of the org, • Proficiency with Google Workspace and Slack, plus comfort using AI tools such as Claude in daily work, • Experience managing vendors and processing invoices or purchase orders, • Sound judgment in ambiguous situations and a bias toward acting rather than waiting, • Composed and professional under pressure, especially on high-traffic office days, • Experience at a high-growth technology company, • Familiarity with workplace platforms such as Envoy, bluebeam, or similar, • Event coordination experience, • Experience supporting new hire onboarding logistic By applying for this job, you acknowledge that the company processes your personal data in accordance with the the company Applicant Privacy Notice. #J-18808-Ljbffr

Working Pattern: Hybrid (at least 3 days in office) Job Type: Permanent Level: SFIA 4 Reports to: Principal Security Design Consultant The Cloud Security Engineer role is designed for a hands-on security specialist with broad Microsoft Azure and Microsoft 365 experience who can implement, harden and assure cloud security controls. Candidates may have progressed through cloud engineering, infrastructure, identity and access management, security operations or consultancy roles and will be comfortable working directly in client environments. The role supports a varied portfolio of predominantly Azure security work spanning identity and privileged access, platform governance, networking, workload protection, secrets and encryption, logging and monitoring, data protection and automation. Strong practical experience with Microsoft Entra Privileged Identity Management and wider Privileged Access Management capabilities is particularly valued, alongside experience with Microsoft Purview across information protection, data classification and data loss prevention. This is not an exclusively identity or data-security role. The successful candidate will be expected to apply their core areas of expertise while developing and maintaining capability across the wider Azure and Microsoft 365 security landscape. Sitting within Cyro’s Cyber Security Architecture team, the successful candidate will work closely with security architects to translate security requirements and High-Level Designs into detailed, implementable solutions. They will own Low-Level Designs, build documentation and engineering delivery, while contributing to High-Level Designs, reference architectures and reusable security patterns. The role provides a clear development path towards security architecture for candidates with the aptitude and ambition to progress in that direction. Implement, configure, harden and troubleshoot security controls across Azure and Microsoft 365 environments. Configure Microsoft Entra ID controls including Conditional Access, multi-factor authentication, role-based access control, managed identities, access reviews and identity lifecycle controls, with particular emphasis on Privileged Identity Management and the application of appropriate privileged access controls. Implement platform governance using management groups, subscriptions, landing zone controls, Azure Policy and initiatives, Defender for Cloud, secure score and regulatory compliance capabilities. Engineer network security controls including virtual networks, network security groups, Azure Firewall, web application firewall, Private Link and private endpoints, DNS security, DDoS protection and hybrid connectivity controls. Implement Key Vault, encryption, secret and certificate management, secure storage patterns and workload identity controls. Secure Azure workloads including virtual machines, containers and AKS, App Service, Functions, storage, databases and other platform services. Configure security logging and monitoring using Azure Monitor, Log Analytics and Microsoft Sentinel, and integrate relevant Defender XDR telemetry. Implement Microsoft Purview capabilities where required, including information protection, sensitivity labels, data classification, data loss prevention, retention and records controls. Investigate and resolve cloud security issues, configuration drift, policy non-compliance and implementation defects, documenting root cause and corrective action. Build and maintain secure, repeatable deployments using Bicep, Terraform, PowerShell, Azure CLI or equivalent infrastructure-as-code and automation tooling. Integrate security guardrails, policy-as-code, secrets handling and security testing into Azure DevOps or GitHub-based delivery pipelines. Develop scripts, reusable modules and operational runbooks that improve consistency, supportability and delivery efficiency. Gather technical requirements, contribute to HLDs and own LLDs, build guides, configuration standards, test plans, runbooks and as-built documentation, progressively taking on greater design responsibility with support from experienced security architects. Perform cloud security configuration reviews and hardening assessments against Microsoft security guidance, CIS benchmarks, the NCSC CAF, ISO 27001 and client standards. Test changes, remediate findings and provide implementation assurance and operational handover to client and managed service teams. Lead defined engineering work packages under general direction, planning activity, managing dependencies and maintaining delivery quality. Work directly with client architects, engineers, service teams and stakeholders to explain implementation choices, risks and operational impacts. Support technical discovery, estimates, proposals and client demonstrations, and contribute to reusable patterns and the development of Cyro's cloud security services. Strong hands-on experience engineering and securing Microsoft Azure environments. Practical capability across several Azure security domains, including identity, governance, networking, workload protection, logging and secrets management. Experience with Microsoft Entra ID, including practical exposure to Privileged Identity Management, together with experience across a selection of Azure security technologies such as Azure Policy, Defender for Cloud, Key Vault, Azure Monitor and Log Analytics. Experience using infrastructure-as-code or scripting tools such as Bicep, Terraform, PowerShell or Azure CLI. Ability to interpret architectural requirements and translate HLDs into accurate LLDs, build documentation, test plans and operational runbooks. Strong troubleshooting skills and experience resolving cloud configuration, access, policy and integration issues. Understanding of cloud security principles including least privilege, defence in depth, secure-by-design, segmentation, encryption and continuous monitoring. Good client-facing communication, documentation and stakeholder engagement skills. Ability to work autonomously under general direction, lead defined work packages and guide colleagues where appropriate. Eligibility for UK Security Clearance (successful appointment will be subject to being granted Security Clearance). Willingness to work across a varied portfolio of cloud security engineering activities, applying existing strengths while developing capability in other areas. Hands-on experience with Microsoft Purview, particularly Information Protection, sensitivity labels, data classification or data loss prevention. Microsoft certifications such as AZ-500, AZ-104, SC-300, SC-400 or SC-100. Experience with Microsoft Sentinel, Defender XDR or Defender for Cloud Apps. Experience implementing security controls through Azure DevOps or GitHub CI/CD pipelines. Knowledge of the Microsoft Cloud Security Benchmark, CIS Azure benchmarks, the NCSC CAF, ISO 27001 or NIST guidance. Experience securing hybrid environments or familiarity with AWS or GCP security controls. Exposure to security design or architecture activities, or a demonstrable interest in developing towards a security architecture role. Experience working in or with Critical National Infrastructure, UK Government or similarly regulated environments. Levels of responsibility: SFIA Level 4 To build, run and maintain a successful compliance programme, you need a connected approach – a team you can trust from strategy to support, and everything in between. At Cyro, this is what we do! As part of our team, you could be working with some of the biggest names in the Critical Nation Infrastructure and Service Provider sectors including London Underground, Network Rail, Transport for London, RNLI, MOD and more. You’ll help us ensure the most important messages get through – however tough the conditions. Here are just some of the ways we’re different: You’ll go further with us.We understand the importance of career development and will give you all the support you need to realise your potential. You’ll receive formal training, e-learning and mentoring from top professionals. And we offer opportunities to transfer to other sectors – or even different technology areas. You’ll make a difference.You could be working outdoors, battling the elements, or in one ofour many offices helping us develop the network infrastructures of tomorrow. You’ll be treated as an individual.We’re not a vast corporation, which means every individual counts. With us, you’ll be valued and supported, involved and empowered from day one. You’ll be well rewarded.We offer salary progression that reflects market rates and personal performance, a flexible working environment and excellent training. Cyro is committed to ensuring that we offer industry leading career opportunities, salary and benefits packages. Join us and you can expect to receive: 25 days holiday, including public holidays, plus the option to buy or sell five days each year Cyro is an equal opportunities employer and is committed to diversity and inclusion. We reserve the right to close this vacancy once we have received sufficient applications. This job description sets out the duties and responsibilities of the job at the time when it was drawn up. Such duties and responsibilities may vary from time to time without changing the general character of the duties or the level of responsibility entailed. Such variations are a common occurrence and cannot in themselves justify a reconsideration of the grading of the job. #J-18808-Ljbffr

Publicis Media harnesses the power of modern media through leading agency brands Dysrupt, Infinite Roar, Publicis Collective, Publicis Health Media, Spark Foundry, Starcom and Zenith, as well as global accelerator PMX; immersive experience group PMCI and access to integrated platform-based technologies and offerings from CJ, Epsilon and Influential. A key business solution of Publicis Groupe, Publicis Media’s digital-first, data-driven global solutions deliver client value and drive growth in a platform-powered world. It is present in over 100 countries with over 23,000 employees worldwide. Performics is the Performance Centre of Excellence within Publicis Groupe, delivering technology, data, and AI-driven marketing solutions for global brands. OneSuite is our unified marketing intelligence and automation platform powering agentic workflows, data processing, analytics services, and channel automation across Search, Social, Programmatic, Commerce, and Measurement. Backend engineering is foundational across all OneSuite — providing the APIs, integration layers, orchestration runtimes, and backend systems that power every charter, from Agent Studio to AOE, DFP, Channels, and SRE. We are seeking a Senior Backend Engineer (Individual Contributor) to lead the design, development, and evolution of backend systems across OneSuite. This is a hands‑on engineering role — you will write production‑grade code, solve complex distributed systems problems, shape backend patterns, and guide other engineers through technical influence (not supervision). As a Senior IC, you will help define service architecture, enforce engineering best practices, and collaborate across multiple charters to ensure OneSuite’s backend systems are scalable, reliable, secure, and performant. • Architect distributed backend services and APIs using Python, FastAPI, Node.js, or equivalent frameworks., • Design modular, observable, and scalable backend components for orchestration, data services, and platform integrations., • Define patterns for microservices, domain boundaries, caching, queuing, resiliency, and error handling., • Build robust service‑to‑service communication mechanisms (REST, gRPC, event‑driven patterns)., • Implement secure authentication, authorization, rate limiting, and multi‑tenant access controls., • Write high-quality, maintainable, production-ready code., • Integrate with external APIs (marketing platforms, cloud services, internal microservices)., • Build and maintain CI/CD pipelines and infrastructure‑as‑code environments., • Lead code reviews, mentor engineers, and ensure high engineering standards., • Contribute to platform SDKs, internal libraries, and backend frameworks used across charters., • Implement tracing, structured logging, metrics, dashboards, and alerting., • Optimize services for latency, concurrency, throughput, and cost efficiency., • Ensure system reliability through automated testing, load testing, error budgets, and resiliency strategies., • Partner with SRE to define SLIs/SLOs and improve platform‑wide reliability., • Work closely with Studio, AOE, DFP, Channel, and SRE teams on shared backend designs., • Collaborate with Product Managers and UX research teams to translate requirements into backend capabilities., • Align architecture decisions across charters to ensure consistency and maintainability., • Demonstrable backend engineering experience, with architectural ownership over services or distributed systems., • Expertise in Python, FastAPI, Flask, or Node.js and modern backend development patterns., • Strong understanding of microservices, concurrency, async programming, and event‑driven architectures., • Proficiency with SQL and NoSQL databases (PostgreSQL, DynamoDB, Redis, MongoDB)., • Hands‑on experience with Docker, Kubernetes, and cloud platforms (AWS or GCP)., • Strong CI/CD experience using GitHub Actions, Jenkins, Argo, or similar tools., • Deep knowledge of observability practices — logs, metrics, traces, performance analysis., • Proven ability to write clean, testable, well-structured production code., • Experience with streaming or queuing systems (Kafka, Pub/Sub, SQS)., • Familiarity with AI/LLM systems (AOE integration), though not required across all charters., • Knowledge of data engineering patterns or ETL/ELT workflows., • Prior experience with API gateway architectures, caching layers, or service meshes., • Exposure to cybersecurity best practices and secure service design., • WORK YOUR WORLD opportunity to work anywhere in the world, where there is a Publicis office, for up to 6 weeks a year., • REFLECTION DAYS - Two additional days of paid leave to step away from your usual day‑to‑day work and create time to focus on your well‑being and self‑care., • HELP@HAND BENEFITS 24/7 helpline to support you on a personal and professional level. Access to remote GPs, mental health support and CBT. Wellbeing content and lifestyle coaching., • FAMILY FRIENDLY POLICIES We provide 26 weeks of full pay for the following family milestones: Maternity, Adoption, Surrogacy and Shared Parental Leave., • FLEXIBLE WORKING, BANK HOLIDAY SWAP & BIRTHDAY DAY OFF You are entitled to an additional day off for your birthday, from your first day of employment., • GREAT LOCAL DISCOUNTS This includes membership discounts with Soho Friends, local restaurants and retailers in Westfield White City and Television Centre. Full details of our benefits will be shared when you join us! Publicis Groupe operates a hybrid working pattern with full time employees being office-based three days during the working week. We are supportive of all candidates and are committed to providing a fair assessment process. If you have any circumstances (such as neurodiversity, physical or mental impairments or a medical condition) that may affect your assessment, please inform your Talent Acquisition Partner. We will discuss possible adjustments to ensure fairness. Rest assured, disclosing this information will not impact your treatment in our process. Please make sure you check out the Publicis Career Page which showcases our Inclusive Benefits and our EAG’s (Employee Action Groups). #LI-KS1 #J-18808-Ljbffr

dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unileverand Metro. We're looking for a Platform Engineer to join our Application Platform team. You'll help build and operate the deployment platform, tooling, and developer experience that every engineering team at dunnhumby relies on to ship software to production. This role can be based from either our London or Manchester office. You’ll join at a moment when we're moving our retail analytics platform from monthly bundled releases to continuous per-service deployment on Kubernetes. You'll be hands‑on with that migration in your first few months and then stay on long‑term as a core member of the team that owns and evolves the platform. It's a clear path into senior platform engineering for someone who has shipped production Kubernetes work and wants to grow their craft on a platform used by hundreds of engineers. • Build and maintain the platform primitives that enable service teams to deploy independently, including ArgoCD application manifests, GitOps repository lifecycles, reusable Helm chart templates, and External Secrets Operator configuration., • Pair with engineers across product and data teams as they onboard onto the new platform, addressing repeated questions at the template layer to prevent recurring issues., • Contribute to platform design discussions and help shape the paved road that engineers across dunnhumby build on., • Author and maintain reusable GitLab CI pipeline templates covering build, test, publish, deploy, and post‑deploy stages., • Work with service teams to migrate pipelines onto the platform standard and retire bespoke per‑service deployment scripts., • Continuously improve build times, pipeline reliability, and developer feedback loops., • Respond to platform alerts during working hours, triaging ArgoCD sync failures, secret synchronisation errors, and flaky pipelines., • Join the Application Platform on‑call rotation once ramped up (typically after the first few months)., • Instrument platform tooling with structured logging and dashboards to improve visibility without manual investigation., • Write unit and integration tests to meet SonarQube coverage requirements and create smoke tests for deployment workflows — no green CI, no merge., • Keep migration playbooks, ArgoCD setup guides, and per‑service pipeline documentation accurate and up to date., • Share learnings with the squad through regular knowledge‑sharing sessions., • Strong professional software or platform engineering experience, shipping code or infrastructure to production within a team environment, • Hands‑on Kubernetes experience on GKE, AKS, or EKS, with confidence using Deployments, Services, Ingress, ConfigMaps, Secrets, and RBAC, • Helm experience, including writing or substantially modifying charts, with a solid understanding of values files, templates, hooks, and chart dependencies, • Experience with GitLab CI or a comparable CI tool (e.g. GitHub Actions, Azure DevOps, Jenkins, CircleCI), having built or meaningfully modified pipelines rather than just used them, • Production experience with Python or Go, with the ability to discuss real code from professional work, • Confidence working with Linux, Bash, Docker, and standard Unix tooling, • Strong Git practices within a team environment, including branching strategies, PR/MR workflows, review feedback, and merge conflict resolution, • A proven track record of shipping to production in a professional team setting (not solely prototype or personal projects), • Exposure to ArgoCD, Flux, or another GitOps tool is a strong plus, • Experience with External Secrets Operator, Vault, or similar secret‑sync patterns is beneficial, • Familiarity with Terraform, multi‑cloud environments (GCP and Azure), observability tooling (e.g. New Relic, Datadog, Prometheus, Grafana), or contract testing with Pact would be valuable We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You’ll also benefit from an investment in cutting‑edge technology that reflects our global ambition. But with a nimble, small‑business feel that gives you the freedom to play, experiment and learn. And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here) #J-18808-Ljbffr

Software Engineer – London. Our client, a globally recognised Fintech leader known for its innovation and engineering excellence, is seeking a Software Engineer to join their London-based technology team. This is a unique opportunity to work at the heart of a critical engineering group – building tools and systems that empower teams responsible for keeping production environments fast, reliable, and observable at scale. • Design and develop robust, scalable Python-based tools and automation systems used across the firm’s infrastructure., • Build and enhance platforms that streamline monitoring, alerting, logging, and system diagnostics., • Solve complex distributed systems challenges and improve platform performance and observability., • Collaborate with engineering teams to provide internal tooling that ensures high availability and resilience of services., • Expertise in Python, with a strong grasp of software engineering fundamentals., • Solid experience working on internal platforms or developer tools, ideally those supporting infrastructure or operations teams., • Strong knowledge of Linux systems and SQL., • Hands-on experience with modern observability and logging tools such as ELK Stack (Elasticsearch, Logstash, Kibana), Grafana, Prometheus, and ideally Apache Spark., • A Computer Science degree from a top-tier university (or equivalent academic background)., • Senior level: Mid-Senior level, • Employment type: Full-time, • Job function: Finance, Information Technology, and Manufacturing, • Industries: Software Development, Financial Services, and Data Infrastructure and Analytics #J-18808-Ljbffr

Role: AI Commerce Search Sr. Engineer/Architect Location: London Level: Associate Manager Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. Within Song, our Commerce & AI practice helps organizations design, build, and scale modern digital commerce ecosystems - embedding Generative AI and Agentic AI into commerce to enable real-time personalization, autonomous merchandising, intelligent discovery, and customer engagement at scale. Visit us at: www.accenture.com/song AI is rewriting how people find and buy. Discovery is shifting from keyword search boxes to conversational, agent-mediated experiences - across both a brand's owned platforms and the AI surfaces where customers increasingly begin their journey. We are looking for a technically strong architect to lead the design and delivery of Google-powered AI commerce experiences - with intelligent, AI-native search and discovery at the core, extending across the wider set of on-platform agentic commerce use cases. You will work at the intersection of enterprise commerce platforms and Google's agentic AI stack - Vertex AI Search for Commerce, Gemini Enterprise (GECX), Google Cloud Agents, Vertex AI Agent Builder / ADK, and the Customer Engagement Suite - translating commerce strategy into production-grade, grounded, and commercially reliable AI systems. This role leans into Google Cloud AI platforms as the delivery foundation. Search and discovery is your anchor specialism, but your remit spans the broader on-platform agentic commerce agenda: conversational commerce, personalization, merchandising optimization, product knowledge and content, and the GEO / AI-native discoverability that determines whether a brand shows up accurately in LLM-mediated discovery. You are hands-on, technically rigorous, and comfortable owning the technical design of a solution workstream - making well-reasoned build-vs-buy decisions and translating complex architecture into clear recommendations for both engineering teams and senior client stakeholders. • Owning the technical design of AI-powered commerce search and discovery workstreams on Vertex AI Search for Commerce — relevance tuning, ranking, retrieval, merchandising controls, and query understanding — and ensuring the approach is scalable, grounded, and aligned to client constraints., • Designing broader on-platform agentic commerce experiences on Google's stack — conversational commerce, guided shopping, personalization and next-best-action, and merchandising optimization — using Gemini Enterprise (GECX), Google Cloud Agents, and Vertex AI Agent Builder / ADK., • Designing the knowledge and data architecture that underpins search and agent intelligence — structured product data, embedding pipelines, vector retrieval, semantic search, and RAG grounded on commerce-specific intent, product relationships, and category hierarchies., • Architecting integration between Google AI surfaces and the enterprise commerce stack - OMS, PIM, DAM, CRM, payments, and fulfilment — via APIs, event-driven patterns, and emerging agentic protocols (MCP, A2A, ACP)., • Leading GEO / AEO and AI-native discoverability design — structuring and exposing product content so brands remain visible, accurate, and preferred across AI-driven discovery surfaces., • Contributing to build-vs-buy decisions across Google AI platform services, LLM/model choices (incl. Model Garden), orchestration frameworks, and vector stores — with a well-reasoned technical point of view grounded in delivery experience., • Embedding AI governance, observability, and responsible AI into design as first-class concerns - audit logging, human-in-the-loop escalation, grounding/hallucination controls, brand safety, and performance monitoring., • Providing technical leadership to delivery teams — guiding engineers, reviewing technical decisions, and maintaining architectural coherence across the workstream lifecycle., • Leading technical workshops and architecture reviews with client stakeholders — presenting options with clear trade-offs, effort implications, and business outcomes for both technical and non-technical audiences., • Supporting the development of Accenture Song's AI commerce capability — contributing to reference architectures, accelerators, and points of view that advance our delivery standards., • :6 years of professional experience in technical architecture, solution engineering, or software engineering — with meaningful delivery across enterprise platforms and a growing specialism in AI and agentic systems., • Hands-on experience designing and delivering AI-powered search, discovery, or recommendation systems in production - relevance, ranking, retrieval, and query understanding., • Demonstrable, hands-on experience with Google Cloud AI platforms applied to commerce - one or more of Vertex AI Search for Commerce, Gemini Enterprise (GECX), Vertex AI Agent Builder / ADK, or the Customer Engagement Suite., • Hands-on experience with Generative AI and agentic systems - LLM-powered application design, retrieval-augmented generation (RAG), and at least one agent framework (e.g. LangGraph, LangChain, LlamaIndex, CrewAI)., • Experience designing and building data and context pipelines for AI systems -=embedding pipelines, vector databases, and semantic search over structured commerce data., • Hands-on delivery on at least one major enterprise commerce platform - such as Salesforce Commerce Cloud, Adobe Commerce, Commercetools, SAP Commerce, or a composable / MACH-aligned stack - and a solid understanding of how these integrate with surrounding enterprise systems., • Familiarity with emerging agentic commerce protocols - MCP, A2A, or ACP - and how they connect AI agents to commerce systems and product data., • Working knowledge of cloud-native services and CI/CD-based delivery (GCP preferred)., • Understanding of AI governance and responsible AI - observability, tracing, auditability, grounding, and guardrails in production AI systems., • Experience leading technical design sessions and presenting architecture options to senior client or stakeholder audiences., • Familiarity with GEO (Generative Engine Optimization) and AI-native search — how product data must be structured and exposed to remain visible and accurate in LLM-mediated discovery., • Experience with Google's broader agent ecosystem - Model Garden, Agent Engine, AgentOps, and grounding/RAG on enterprise data., • Hands-on AgentOps / LLMOps practices - production monitoring, model evaluation, tracing, and continuous improvement for deployed AI systems., • Exposure to composable commerce patterns - MACH principles, headless commerce, and API-first design - and how they enable flexible AI integration., • Experience contributing to technical proposals, reference architectures, or delivery accelerators in a consulting or professional services context. Our Total Rewards consist of a competitive basic salary, annual performance bonus, opportunities to acquire equity and a wide range of health and wellbeing benefits. These include perks such as: • Up to 30 days of leave to spend each year plus 3 extra volunteering days per year for charitable work of choice., • Family-friendly and flexible work policies., • Attractive pension plan with financial wellbeing support and resources., • Private healthcare insurance plan and Mental Wellbeing support., • Employee Assistance Programme, Career Development and Counselling., • A range of generous Parental Leave offerings. Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the outstanding services we are known for. Please note that with all our roles, you should expect some in-person time for collaboration, learning and building rapport with clients, peers, leaders and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. SNGCR01 #J-18808-Ljbffr