24 jobs found

About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible - through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. About the role This is where security meets innovation at enterprise scale. As a security engineer, applications at WRITER, you'll be building the security foundations that protect the AI systems powering some of the world's most recognizable brands. You'll work at the intersection of application security, AI infrastructure, and developer enablement-partnering with engineering teams to embed security into every line of code while ensuring our platform remains both powerful and trustworthy. The opportunity is massive: you'll help define how enterprise AI applications are secured, from threat modeling our LLM architectures to building automated security controls that scale across our growing platform. This isn't about saying 'no'-it's about finding creative ways to say 'yes, and here's how we do it securely.' You'll tackle challenges that most security engineers never encounter: securing AI agents, protecting training data pipelines, and designing controls for systems that didn't exist a few years ago. This role is hybrid from our London office, reporting to the head of security engineering. What you'll do Build security into the DNA of our AI platform by conducting threat modeling sessions with product teams, designing secure architectures for new features, and ensuring security considerations shape product decisions from day one-not after the fact Own and evolve our application security program including establish and maintain SAST/DAST scanning in CI/CD pipelines, conducting security code reviews for critical changes, and building automation that catches vulnerabilities before they reach production Partner with engineering teams to establish and champion secure coding standards, creating reusable security patterns and libraries that make it easier for developers to build securely by default Design and recommend security features and products that help secure customer environments. You are the advocate and the vision for how we protect and secure customers. Integrate and leverage AI agents to help increase velocity for the security team and the overarching engineering org to ensure that we are proactive in minimizing risk while we build products Lead security assessments and penetration testing of WRITER's applications, AI services, and APIs, identifying vulnerabilities across our tech stack and working collaboratively with teams to remediate issues at scale Design and implement security controls for protecting data pipelines, model training environments, and customer-facing AI agents Stay ahead of emerging threats in the AI/ML security landscape, researching attack vectors specific to LLMs and generative AI, and proactively building defenses against novel risks What you need 4+ years of hands on experience in application security engineering, with a proven track record of securing large scale production systems-bonus points if you've worked in fast-growing startups or high growth environments Understanding of developer experience and developer workflows for shipping features and products. You care deeply about reducing risk while considering velocity of engineers. Technical expertise in at least two programming languages (Python, Java, Go, JavaScript/TypeScript) and the ability to read and review code across multiple languages, understanding both business logic and security implications Knowledge of security tools and methodologies including SAST/DAST solutions, vulnerability management platforms, security testing frameworks, and DevSecOps practices-you know which tools to use and when automation beats manual review Excellent communication skills that allow you to translate complex security concepts into clear recommendations for both technical and non technical audiences-you can explain why something matters and motivate teams to action A builder's mindset that looks for opportunities to automate, scale, and empower rather than create bottlenecks-you understand that security enables the business, not blocks it Alignment with WRITER's values of Connect (building strong relationships across teams), Challenge (pushing the boundaries of what's possible in AI security), and Own (taking end to end responsibility for the security of our platform) Benefits & perks (UK full time employees): Generous PTO, plus company holidays Comprehensive medical and dental insurance Paid parental leave for all parents (16 weeks) Fertility and family planning support Early detection cancer testing through Galleri Competitive pension scheme and company contribution Annual work life stipends for: Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company wide off sites and team off sites Competitive compensation and company stock options

Anaplan is the leading enterprise decision making platform, powering the world's largest enterprises with its proprietary Hyperblock technology and cloud infrastructure. We are seeking a Sr. Principal Engineer to join our team in Manchester, UK. Your Impact Lead the design, delivery, and architecture of platform capabilities powering Anaplan's enterprise scale API gateways, edge routing, and developer acceleration. Build and scale high throughput backend engines that manage core request orchestration, seamless multi tenant isolation, and API first solutions serving thousands of tenants and tens of thousands of users. Partner with architects and senior engineers across the Platform Experience domain to set technical direction, aligning implementation patterns for complex initiatives (like Vanity URLs, JWT auth flows, and cross service proxying). Drive the evolution of our deployment infrastructure, championing modern GitOps workflows (ArgoCD, Helm) and highly available containerized orchestration. Own foundational features end to end-from design through to production-while continuously improving system observability, implementing intelligent rate limiting, and solving complex concurrency challenges (e.g., database locks and connection starvation). Deliver thought leadership and coding excellence across Java/Kotlin, ensuring seamless integration between backend microservices and UI components (including resolving complex CORS and distributed edge proxy requirements). Mentor and elevate engineers across global teams through design reviews, pair programming, and hands on leadership to foster a resilient engineering culture. Your Qualifications Extensive background in software engineering within enterprise scale, high throughput platform or data centric environments. Understand, leverage, and integrate modern AI tools and concepts-including agentic programming patterns and LLM assisted workflows-to accelerate platform engineering and developer velocity. Deep expertise in backend JVM languages (Java and/or Kotlin) with a strong understanding of distributed systems internals. Proven track record of delivering API first infrastructures, API Gateways (e.g., Traefik), and edge routing solutions that guarantee enterprise reliability under sustained traffic loads (2K+ requests per second). Hands on experience with Kubernetes, containerized deployments, and managing complex CI/CD pipelines (strong familiarity with GitOps, ArgoCD, and high velocity release workflows). Solid grounding in event driven architecture, real time data processing, and managing complex database transaction scopes at scale. Experience balancing rapid prototyping and fast iteration with long term sustainability and quality-you have a bias for action and prefer to try and iterate rather than wait for perfect information. Exceptional technical communicator with a proven ability to align globally distributed teams. You are highly skilled at distilling complex concepts into clear, structured RFCs and architectural designs to build consensus. Understand, leverage, and integrate modern AI tools and concepts-including agentic programming patterns and LLM assisted workflows-to accelerate platform engineering and developer velocity. Preferred Skills You have shaped architecture and platform strategy at an enterprise scale, navigating the trade offs of hybrid and cloud agnostic infrastructures. You bring a polyglot mindset, matching the right technology to the challenge rather than defaulting to a single stack (comfortable exploring React, Python, or Go when needed). Genuine curiosity-you're energized by learning new technologies and approaches to solve edge routing and platform enablement challenges. You enjoy mentoring others and raising the bar for engineering culture, without big egos. You're highly comfortable operating in distributed teams, embracing asynchronous collaboration, and driving consensus across distinct domains. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person. Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication. All emails from Anaplan would come from email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to before taking any further action in relation to the correspondence. Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.

About the Team Man Group has been at the forefront of applying technology and data science to investment management for over three decades. Today, that legacy is driving a firm wide AI transformation with over 1,500 employees using our AI platform daily, adoption has reached a critical inflection point and momentum continues to build. We're now hiring an AI specialist to partner with teams across the business, turning that momentum into tangible, measurable outcomes. This is not a research role. It's not a pure engineering role. It's the person who sits at the intersection of business problems and AI capabilities, and makes things happen. You'll become an expert in how Man Group operates our products, our processes, our systems, our people and use that knowledge to identify where AI creates the most value, then build it, ship it, and help others do the same. You'll work across the entire firm: sitting with a Sales team to understand why an RFP takes 5 days, then building a prototype that gets it to 48 hours. Running a workshop with Legal to map their document review process, then designing an AI workflow that halves the time. Helping a Portfolio Manager understand what Claude Code can do for their research process, then pairing with them to build it. You'll shape the role, the approach and help drive strategy. Required Traits Gets energy from solving other people's problems, not just their own Is curious about how a business actually works the messy reality, not the org chart Can context switch between a deeply technical conversation and a commercial one in the same meeting Has the confidence to challenge senior stakeholders constructively and the humility to learn from them Sees AI as a tool for making people more capable Role Responsibilities Accelerate Become the person people come to when they want to understand what's possible with AI at Man Run workshops, pair building sessions, and demos that turn sceptics into users and users into builders Help leaders in each business unit define their highest value AI projects and build the skills to deliver them Create reusable patterns, templates, and playbooks that scale your impact beyond 1:1 engagements Solve real business problems with AI Embed with business units to understand their processes, pain points, and opportunities at a detailed level Rapidly prototype AI powered solutions using Python, LLM APIs (Anthropic Claude, OpenAI), and the MAIA platform (our internal platform) Build end to end: from scoping the problem with stakeholders through to a working tool they can use Focus on time to value: ship early, iterate fast, measure outcomes Drive process transformation Map end to end business processes (client lifecycle, reporting chains, operational workflows) and identify where AI creates the highest leverage Design AI first workflows that don't just automate the existing process but reimagine it Work with the strategy team to deliver cross cutting improvements that benefit multiple business units Build the business case: define metrics, measure before and after, present outcomes to leadership Build the AI product knowledge Become an expert in MAIA's capabilities: what it can do today, what's on the roadmap, where the gaps are Stay current on AI tooling, techniques, and best practices and translate them into practical applications for Man Bridge between the AI engineering team (who build the platform) and the business (who use it) translating requirements in both directions Contribute to the platform: build skills, integrations, and workflows that become part of MAIA's shared capability Essential 5-8 years' experience in roles that combined technical delivery with business problem solving. Python skills. You don't need to be a systems engineer, but you must be able to build prototypes, work with APIs, process data and help design features. Hands on experience with LLMs. You've built things with Claude, GPT, or equivalent. You understand prompting, RAG, tool use, agents, and the practical limitations. You know when AI is the right tool and when it isn't. Exceptional stakeholder skills. You can sit with a senior portfolio manager, a head of operations, or a sales lead and earn their trust. You listen before you solve. You communicate clearly to technical and non technical audiences. Bias for action. You'd rather ship a working prototype in a week than a perfect specification in a month. You're comfortable operating with ambiguity and making progress without waiting for permission. Systems thinking. You can look at a business process and see the system: inputs, transformations, outputs, feedback loops, bottlenecks. You think in workflows, not features. Advantageous Financial services experience particularly asset management, investment operations, or capital markets Experience with enterprise AI deployments at scale (not just experiments) Familiarity with MCP (Model Context Protocol), agent frameworks, or AI workflow orchestration Experience training or educating others on AI tools and techniques Understanding of data engineering: pipelines, integrations, data quality, metadata management Inclusion, Work Life Balance and Benefits You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering. Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long term disability coverage, group sick pay, enhanced parental leave and long service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance. Equal Employment Opportunity Policy Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. Man Group is a Disability Confident Committed employer.

Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you'll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you'll be contributing to building the technology that powers the future. About the Role We're looking for a Senior Data Engineer (Forward Deployed) to help design, build, and operate the data foundations that underpin Nscale's platform, internal operations, and customer facing capabilities. This is a high-impact, early stage role. You'll work closely with Operations, Infrastructure, Platform Engineering, Product, and Commercial teams to turn raw operational signals - from GPUs, clusters, customers, and internal systems - into reliable, scalable data products that ensure delivery at a previously unseen pace. You'll help define how data is collected, modelled, served, and trusted across the company, and have the opportunity to build on Palantir Foundry, as well as other products. This role is ideal for someone who enjoys building data systems from first principles, thrives in ambiguous environments, and wants to see their work directly influence product decisions, platform reliability, and customer outcomes. What you'll be doing Design and build scalable, reliable data pipelines that ingest data from infrastructure, platform services, and business systems. Define data models and schemas that support operational workflows and use cases across the business, monitoring, and analytics. Clean, transform and structure the data to create a digital twin of Nscale. Implement permissioning and manage access and security of the Foundry implementation. Data Products & Enablement Create trusted datasets and metrics that power workflows and processes, internal tools, and customer facing insights. Enable self serve analytics by establishing clear data contracts, documentation, and semantic layers. Build use cases including but not limited to capacity planning, cost optimisation, reliability analysis, and customer reporting to drive our business forward. Collaborate with Product and Commercial teams to translate real world questions into robust data solutions. Reliability, Quality & Governance Implement data quality checks, monitoring, and alerting to ensure data correctness and availability. Codify data lineage, freshness, and consistency across systems. Establish best practices around data versioning, access control, and governance appropriate for a fast scaling company. Continuously improve system resilience and observability. Early Stage Ownership & Growth Take end-to-end ownership of projects, from design through to production and iteration. Help define standards, tooling, and ways of working for data at Nscale. Contribute to technical decision making as the company scales its platform and customer base. Act as a thought partner to engineers and operators, not just a service function. About You Deep, hands on experience building in Palantir Foundry, including ontology modelling, pipeline development, API integration, and large scale data platform design. Strong proficiency in Python, with experience applying data engineering libraries and frameworks (e.g. Spark, PySpark, Dask, pandas) to work with large, complex datasets. Familiarity with API driven data integration, including REST, GraphQL, and Foundry Action APIs. Practical experience working in Git based development workflows, including code reviews, version control, and CI/CD pipelines. Comfort working in ambiguous, early stage environments where requirements evolve quickly. Strong communication skills - able to explain data concepts clearly to technical and non technical stakeholders. A bias toward ownership, pragmatism, and shipping useful solutions. Nice to Have Experience with cloud platforms (AWS, GCP, Azure) and infrastructure telemetry. Familiarity with distributed systems, monitoring data, or usage based billing data. Experience supporting customer facing data products or platforms. What we can offer you At Nscale, you'll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We're building something extraordinary, and we want you at the core. Highly competitive package (base + equity) with reviews every 12 months. Join the fastest growing tech startup, your chance to push boundaries, collaborate with brilliant minds, and make your mark on cutting edge AI. Expect a dynamic progression plan tailored to your ambitions. Grow by trying new things, leading, challenging the status quo, and owning your impact, always with our full support. Human-First Flexibility: We treat you as humans first. Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments. We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio economic backgrounds. The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role.

SS7 Monitoring SpecialistNewbury, United KingdomApply NowFind out how well you match with this jobRequisition ID283614Date posted06/04/2026 Join Us At Vodafone, we're not just shaping the future of connectivity for our customers - we're shaping the future for everyone who joins our team. When you work with us, you're part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact. What you'll do Cyber Defence Operations (CDO) is Vodafone Group's Cyber Defence Operations Centre of Excellence. CDO's mission is to protect Vodafone customers against global cyber risk. CDO is specifically accountable for delivering: Cyber Defence operational leadership across Vodafone. Cyber Defence operational capabilities to Vodafone Group, the Local Market Operating Companies, and Partner Markets to enhance Vodafone's global cyber defence posture and reduce its cyber risk.The is accountable for providing advanced operational defence against signalling based threats impacting Vodafone's telecommunications networks. The role specialises in monitoring, analysing, detecting, and responding to security events across SS7, Diameter and GTP-C using Signalling Firewalls and Signalling Intrusion Detection Systems.As an escalation point for complex signalling incidents, the role leads investigations through deep protocol analysis, telemetry interrogation and advanced analytics while also owning continuous improvement of playbooks, dashboards, and operational processes. Additionally, the role collaborates with global Vodafone Cyber Security teams, including CERT and Incident Management, to support major incident investigations and cross functional initiatives. Define, maintain and continuously improve Cyber Defence playbooks for SigFW related events. Develop clear and actionable incident reporting to support effective prioritisation, escalation and decision making. Support development and production integration of Signalling Intrusion Detection Systems (SigIDS). Design and maintain operational dashboards and analytics to improve signalling security situational awareness. Perform continuous monitoring and triage of signalling security events in line with defined severity and escalation criteria. Lead the analysis of unusual signalling patterns, behaviours and anomalies within the network, identifying potential SS7/Diameter abuse and responding to threats before network impact occurs. Analyse known and emerging signalling attack techniques (e.g. interception, location tracking, routing manipulation, fraud enablement) and translate these into effective detection logic, analytics and investigative guidance. Maintain expert knowledge of SS7/Diameter abuse patterns and translate this into detection logic, alerts and investigative guidance. Feed lessons learned from incidents and intelligence back into preventative controls, dashboards and playbooks. Raise and manage incident and remediation tickets (e.g. Remedy) Manage enrichment of signalling telemetry (e.g. via Cribl coordinated through GitHub Enterprise). Consume telecom specific threat intelligence and integrate insights into SigFW/SigIDS detections, playbooks and operational workflows. Identify control gaps and propose enhancements to detection logic, SigFW policies and operational procedures to improve signalling security posture. Act as a technical liaison between Cyber Defence and Network Engineering to influence signalling security policy, control design and operational effectiveness. Brief internal and external stakeholders including NCSC, NSIE and Ofcom where required. Evaluate and optimise signalling security tooling to ensure effective defence against evolving threats and emerging attack techniques. Continuously work to stabilize the process and procedures Security Reporting and Advisories - take part in and may drive the delivery of signalling security reports and advisories to all key stakeholders Who you are Strong willingness to learn and adapt to new tools, technologies and emerging signalling threats in a fast moving security environment. Open minded, collaborative and comfortable working across technical and operational teams. Demonstrates resilience, curiosity and a positive attitude when operating in high pressure incident environments. Experience with telecommunications signalling protocols (SS7, Diameter, GTP C) or strong willingness to rapidly develop expertise in this area. Strong analytical capability across large signalling telemetry datasets to identify anomalies, abuse patterns and emerging threats. Experience working within an operational Cyber Defence or SOC environment, including incident triage and escalation. Hands on experience in security event analysis and incident response, particularly within network or telecoms contexts. Experience using security analytics and monitoring platforms such as Dynatrace, Splunk, Google SecOps and Tableau. Understanding of telemetry pipelines, log enrichment, and data quality considerations (e.g. Syslog, Cribl or similar). Ability to communicate complex technical findings clearly to both technical and non technical stakeholders. Excellent verbal and written communication skills with the ability to articulate complex technical concepts clearly and concisely. Highly disciplined and motivated, able to work independently, under direction or collaboratively as part of a wider team. Strong understanding of security threats and abuse patterns relevant to telecommunications networks and signalling environments. Bachelor's degree in cyber security, Information Technology, Telecommunications Engineering, or a related field or equivalent professional experience. Working towards, or willingness to obtain, relevant professional certifications in areas such as network security, security analytics, intrusion detection, or incident response (e.g. GCIA, GNFA, Splunk certifications, cloud security certifications, or equivalent). Equivalent practical experience within telecoms security or signalling focused cyber defence will be considered equally valuable. This role requires eligibility for and willingness to complete UK government security clearance. Not a perfect fit? Worried that you don't meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you're excited about this role but your experience doesn't align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity. What's in it for you Yearly bonus: 10% Annual leave: 28 days + bank holidays + the opportunity to buy/sell/carry over 5 days/year Charity days: 5 days/year Maternity leave: 52 weeks: the first 13 weeks are fully paid, followed by 26 weeks of half pay Private pension: You can contribute up to 5% of your basic pay with 2:1 matching from Vodafone up to 10%. Access to: private medical, private dental, free health assessments, share save scheme Additional discounts: Vodafone retail, gym, cinema, cycle to work, season ticket loan Who we are We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to for guidance.

Join Us At Vodafone, we're not just shaping the future of connectivity for our customers - we're shaping the future for everyone who joins our team. When you work with us, you're part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact. What you'll do Cyber Defence Operations (CDO) is Vodafone Group's Cyber Defence Operations Centre of Excellence. CDO's mission is to protect Vodafone customers against global cyber risk. CDO is specifically accountable for delivering: Cyber Defence operational leadership across Vodafone. Cyber Defence operational capabilities to Vodafone Group, the Local Market Operating Companies, and Partner Markets to enhance Vodafone's global cyber defence posture and reduce its cyber risk. The role is accountable for providing advanced operational defence against signalling based threats impacting Vodafone's telecommunications networks. The role specialises in monitoring, analysing, detecting, and responding to security events across SS7, Diameter and GTP-C using Signalling Firewalls and Signalling Intrusion Detection Systems. As an escalation point for complex signalling incidents, the role leads investigations through deep protocol analysis, telemetry interrogation and advanced analytics while also owning continuous improvement of playbooks, dashboards, and operational processes. Additionally, the role collaborates with global Vodafone Cyber Security teams, including CERT and Incident Management, to support major incident investigations and cross functional initiatives. Define, maintain and continuously improve Cyber Defence playbooks for SigFW related events. Develop clear and actionable incident reporting to support effective prioritisation, escalation and decision making. Support development and production integration of Signalling Intrusion Detection Systems (SigIDS). Design and maintain operational dashboards and analytics to improve signalling security situational awareness. Perform continuous monitoring and triage of signalling security events in line with defined severity and escalation criteria. Lead the analysis of unusual signalling patterns, behaviours and anomalies within the network, identifying potential SS7/Diameter abuse and responding to threats before network impact occurs. Analyse known and emerging signalling attack techniques (e.g. interception, location tracking, routing manipulation, fraud enablement) and translate these into effective detection logic, analytics and investigative guidance. Maintain expert knowledge of SS7/Diameter abuse patterns and translate this into detection logic, alerts and investigative guidance. Feed lessons learned from incidents and intelligence back into preventative controls, dashboards and playbooks. Raise and manage incident and remediation tickets (e.g. Remedy). Manage enrichment of signalling telemetry (e.g. via Cribl coordinated through GitHub Enterprise). Consume telecom specific threat intelligence and integrate insights into SigFW/SigIDS detections, playbooks and operational workflows. Identify control gaps and propose enhancements to detection logic, SigFW policies and operational procedures to improve signalling security posture. Act as a technical liaison between Cyber Defence and Network Engineering to influence signalling security policy, control design and operational effectiveness. Brief internal and external stakeholders including NCSC, NSIE and Ofcom where required. Evaluate and optimise signalling security tooling to ensure effective defence against evolving threats and emerging attack techniques. Continuously work to stabilise the process and procedures. Security Reporting and Advisories - take part in and may drive the delivery of signalling security reports and advisories to all key stakeholders. Who you are Strong willingness to learn and adapt to new tools, technologies and emerging signalling threats in a fast moving security environment. Open minded, collaborative and comfortable working across technical and operational teams. Demonstrates resilience, curiosity and a positive attitude when operating in high pressure incident environments. Experience with telecommunications signalling protocols (SS7, Diameter, GTP C) or strong willingness to rapidly develop expertise in this area. Strong analytical capability across large signalling telemetry datasets to identify anomalies, abuse patterns and emerging threats. Experience working within an operational Cyber Defence or SOC environment, including incident triage and escalation. Hands on experience in security event analysis and incident response, particularly within network or telecoms contexts. Experience using security analytics and monitoring platforms such as Dynatrace, Splunk, Google SecOps and Tableau. Understanding of telemetry pipelines, log enrichment, and data quality considerations (e.g. Syslog, Cribl or similar). Ability to communicate complex technical findings clearly to both technical and non technical stakeholders. Excellent verbal and written communication skills with the ability to articulate complex technical concepts clearly and concisely. Highly disciplined and motivated, able to work independently, under direction or collaboratively as part of a wider team. Strong understanding of security threats and abuse patterns relevant to telecommunications networks and signalling environments. Bachelor's degree in cyber security, Information Technology, Telecommunications Engineering, or a related field or equivalent professional experience. Working towards, or willingness to obtain, relevant professional certifications in areas such as network security, security analytics, intrusion detection, or incident response (e.g. GCIA, GNFA, Splunk certifications, cloud security certifications, or equivalent). Equivalent practical experience within telecoms security or signalling focused cyber defence will be considered equally valuable. This role requires eligibility for and willingness to complete UK government security clearance. What's in it for you Yearly bonus: 10% Annual leave: 28 days + bank holidays + the opportunity to buy/sell/carry over 5 days/year Charity days: 5 days/year Maternity leave: 52 weeks - the first 13 weeks are fully paid, followed by 26 weeks of half pay Private pension: You can contribute up to 5% of your basic pay with 2:1 matching from Vodafone up to 10%. Access to private medical, private dental, free health assessments, share save scheme Additional discounts: Vodafone retail, gym, cinema, cycle to work, season ticket loan Who we are We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.

The Codex Deployment Engineering team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Our customers span digital-native companies to global enterprises, and we work side by side to accelerate how they plan, build, and deliver software. About the Role We are seeking a technically deep, creativity driven AI Deployment Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt. This is a highly cross functional role that blends technical architecture, product strategy, and customer facing leadership. You'll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world's most influential companies. In this role, you will: Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows. Partner directly with customers to design and implement AI enhanced development workflows, from rapid prototyping through scalable production rollout. Build high quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process. Lead large format workshops, technical deep dives, and hands on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely. Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex. Gather high fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams. Influence customer strategy and decision making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows. Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best practice adoption. You'll thrive in this role if you: Have 5+ years of technical consulting, post sales engineering, solutions architecture, or similar experience working directly with customers. Are an active power user of AI coding tools and have deeply customized your own developer workflow; you have a point of view on what makes engineers more productive. Enjoy building scrappy, high signal demos, integrations, and prototypes that clearly articulate what Codex can enable, often using Codex to accelerate your own development process. Have experience delivering large, high impact workshops or technical training to engineering teams and know how to craft sessions that are engaging, hands on, and outcomes driven. Have contributed technical guides, patterns, or examples publicly and care about clarity, pedagogy, and community impact. Communicate complex technical concepts in clear, persuasive written and verbal form especially when helping customers make strategic decisions about where and how to apply AI. Are excited by ambiguous, rapidly evolving problem spaces and enjoy iterating toward novel solutions hand in hand with customers. Care about customer success, reliability, safety, and operational excellence as much as you care about technical ingenuity. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Are you excited by the opportunity to help software engineers use AI safely, effectively, and at scale? Do you enjoy turning ambiguous engineering problems into reliable, well-tested tools that improve productivity without compromising quality? If so, we want to hear from you! Job Overview: We are seeking a Senior Software Engineer - AI Tooling to help develop, improve, and maintain LLM-based engineering tools for Arm software teams. The ideal candidate will combine strong software engineering judgement with practical experience applying AI or LLMs to real engineering workflows. You will build well-tested CLI, API, backend, and UI-based applications that integrate with CI systems, support local developer workflows, and help engineers use AI productively, safely, and consistently. This role requires someone who can reason through ambiguous engineering problems, make sound design decisions, and apply good software development practices to AI-enabled tooling. They will work with minimal guidance on scoped technical problems, collaborate with partner teams to understand workflows and quality expectations, and help turn AI prototypes into reliable internal software products. The role contributes to Arm's strategy by improving engineering efficiency, software quality, and developer productivity as Arm scales AI-enabled ways of working across engineering teams. Success is in delivering increasingly complex work, peer reviewing, advising others, and communicating clearly with immediate and closely related teams. Responsibilities: Design, develop, test, and maintain AI/LLM-based engineering tools that help software engineers work more productively while preserving quality, safety, and good engineering practice. Build production-quality software across CLI, API, backend, UI, and CI-integrated workflows, using clear architecture, automated testing, documentation, observability, and maintainable code. Integrate tools with engineering data sources such as logs, test output, failure reports, source code, build metadata, and CI results, ensuring outputs are useful, traceable, and appropriate for engineering decision-making. Contribute to the design and evaluation of LLM-based systems, including identifying failure modes, preparing representative test cases, measuring output quality, and improving prompts, pipelines, and application logic based on evidence. Work with senior engineers, technical leads, and partner teams to understand real workflows, clarify requirements, communicate trade-offs, and support effective adoption of AI tooling. Support peers through code review, collaboration, and practical mentorship on how AI-enabled tools should be used responsibly and effectively in software development. Required Skills and Experience : Strong Python software engineering experience, with the ability to design, build, test, debug, and maintain reliable software systems. Good engineering judgement: able to reason through trade-offs, structure maintainable solutions, handle ambiguity, and apply appropriate software development practices rather than just producing quick prototypes. Practical understanding of LLMs or applied AI/prompt engineering, including their limitations, quality risks, hallucination failure modes, data sensitivity considerations, and the need for evaluation and guardrails. Clear communication and teamwork skills, with the ability to explain technical decisions, review others' work, and help software engineers use AI tools productively and safely. "Nice To Have" Skills and Experience : Experience improving developer productivity via workflow-integrated tools, such as CLI tools, APIs, backend services, web UIs, CI integrations, test infrastructure, or engineering automation. Experience working with engineering data and workflows, such as logs, source code, test output, CI results, build metadata, failure reports, or software quality signals. Hands-on DevOps experience with AWS, Kubernetes, Cloudbees Jenkins, GitHub, or similar platforms. In Return: When joining our team, you are joining a collaborative environment where leadership is about empowering others. We embrace new and different ideas and perspectives, because we believe the best innovation only happens in a diverse and psychologically safe environment. We in the Fast Models AI Enablement team are going to push the limits of Agentic workflows. It's our job to find the best ways of working, implement them, and bring them to the team in this rapidly changing space. We are going to break new ground to enable our larger team to be as effective as possible with AI Tooling. We support flexible working and ask our teammates to come into the office at least two days per week for planning, design discussions, and other team activities. Please note that no relocation package is available for this role. If skilled worker sponsorship is required, Arm will meet costs associated with sponsorship for the employer only. All fees associated with the individual's application e.g. visa application fee and Immigration Health Surcharge, will be the responsibility of the successful candidate. Accommodations at Arm At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Hybrid Working at Arm Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team's needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Equal Opportunities at Arm Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

We are currently looking for aSenior Data Engineer to join us remotely in the UK as we plan to set up a hub in the UK in the following 6-12 months to enable our GTM strategy. You will work with our EMEA and US customers to help them solve their data engineering, ML, ML Ops, and cloud migration puzzles. "As a Data Engineer at DATAPAO, you will have the unique opportunity to push the boundaries of technology and lead the way in how data transforms the world. We work with customers who want to innovate and change their industries. So it never gets boring! Sorting out a complex technical puzzle, setting up a new data architecture from scratch, or guiding our customers through adopting the latest technologies is our routine here. Hence, we'd expect you to be more than just a (data) engineer. We'd expect you to breathe and live data, to thrive for knowledge and excellence, and to be keen to build something enduring and impactful for our customers. We'd expect you to be a (data) Paoneer!" (Máté Gulyás, CEO) What will you do? As a Senior Data Engineer, you are expected to deliver (across industries) on some of our most complex projects - individually or by leading small delivery teams. Although we work for the biggest multinational companies where years-long behemoth projects are the norm, our projects are fast-paced, typically 2 to 4 months long. Most are delivered using Apache Spark/Databricks on AWS/Azure and require you to directly manage the customer relationship alone or in collaboration with a Project Manager. Additionally, at this seniority level, we expect you to compound your impact across the team and the organization - by supporting our pre-sales process, mentoring more junior engineers, and contributing to hiring best-in-class data talent. What does it take to fit the bill? Technical Expertise You (ideally) have 5+ years of experience in Data Engineering, with a focus on cloud platforms (AWS, Azure, GCP); You have a proven track record working with Databricks (PySpark, SQL, Delta Lake, Unity Catalog); You have extensive experience in ETL/ELT development and data pipeline orchestration (e.g., Databricks Workflows, DLT, Airflow, ADF, Glue, and Step Functions.); You're proficient in SQL and Python, using them to transform and optimize data like a pro; You know your way around CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation, or Bicep); You've hands-on experience integrating Databricks with BI tools (Power BI, Tableau, Looker). Consulting & Client-Facing Skills Ideally, you bring a proven history in consulting, from scoping to gathering requirements, designing solutions, and communicating effectively with stakeholders. If you bring a product company background with you, that's also fine as long as you can show a good consulting mindset and desire to be customer-facing; You've successfully delivered projects like Data Lakehouse buildouts and cloud data migrations; You excel in explaining technical concepts to non-technical audiences and drive decision-making. Operational Readiness & Soft Skills You're (almost) ready to hit the ground running, immediately contributing to live client projects; In a fast-paced consulting environment, where no two days are the same, flexibility and problem-solving comes naturally to you. Furthermore, resilience and thriving on challenges are essential traits in our industry; Your communication skills are on point-whether you're writing, speaking, or collaborating with stakeholders, you know how to keep everyone in the loop. What do we offer? You'll have the rare opportunity to join DATAPAO at a time when you can still meaningfully impact our growth trajectory and organizational success. Furthermore, you'll also get to spearhead our regional expansion. Surely, we know everyone needs a little something to do their best work. Here is a list of some other extras we offer: The chance to work remotely - as we don't have a physical office in the UK yet, we offer a fully remote setup for the time being. However, given our strong community emphasis, we'd expect you to spend one month in our Budapest hub during onboarding and visit the office for one week every quarter; World-class educational benefits - there's no shortage of learning opportunities at DATAPAO, meaning that you'll get access to Databricks' public and internal courses to learn all the tricks of Distributed Data Processing, MLOps, Apache Spark, Databricks, and Cloud Migration from the best. Additionally, we'll pay for various data & cloud certifications, you'll get dedicated time for learning during work hours, and access to our internal library; Flexible PTO days - we're flexible with how many days you take off if that does not conflict with customer success and the work getting done; 4 weeks of paternity leave - because we think it's important for both parents to be there when it matters the most; Employee Assistance Program (EAP) - life always happens! And we'd like to be there for you when it counts the most. Through EAP, we offer our employees access to psychology, financial, and legal consulting services via phone or in person; Pension scheme enrollment and a comprehensive private health insurance plan - offered via our EOR (Employer of Record) provider, Remote will be your official employer in the UK for the foreseeable future until we establish our own legal entity in the UK; Top-notch working equipment - working comfortably means working well. You will get a MacBook Pro, a phone, and a sign-up bonus of 500 GBP gross (to be paid with your first payroll) to set up your home office or whatever else is needed to give your best; The chance to make an impact in a high-transparency culture - open feedback and no politics are things we value a lot at DATAPAO. Additionally, you'll get the chance to work in the field of data & AI and shape the future of a rapidly growing tech company. IMPORTANT NOTE: Given that we are still sorting our ways out in the UK, this list will likely get an update in the following months, and we're also committed to growing it with us over time. The gross salary for this position ranges from 70.000 to 100.000 GBP/year, depending on your assessed seniority level during the selection process. Please note that currently we are unable to support transfer or offer full sponsorship for Skilled Worker visas as we're just setting foot into the UK. Want to know more about us? DATAPAO is a data engineering and AI company that covers the entire data transformation from architecture to implementation. Beyond delivering solutions, we also provide data and AI training and enablement. We are backed by Databricks - the creators of Apache Spark, and act as a delivery partner and training provider for them in Europe. Additionally, we are Microsoft Gold Partners in delivering cloud migration and data architecture on Azure. Our delivery partnerships enable us to work in a wide range of industries and with some of the most prominent global companies, such as Norsk-Hydro, Richter, Bayer, Schufa, GetYourGuide, TechnoAlpin, and Logically, to name just a few. As a training provider, we deliver onsite and online courses globally for Databricks and on our own. We have been teaching professionals at Apple, Amazon, Uber, Microsoft, T-Mobile, GE, Ericsson, and many more to improve their impact with data. For even more insights, check the links below: You can also follow us on LinkedIn for all the good stuff or just hit our recruitment team at We're firm believers in scaling up a team without judgment or prejudice. What we really care about is working with the best people out there, no matter their background. And you should also not worry if you don't tick every box in the requirements. If you're passionate about data and learning new things, you'll fit right in, and we'd love to hear back from you. When we hear back from you, we'd like you to know that we are committed to your privacy and keeping your data safe. We do not share your data with any third parties (except the ones we use to run our recruitment process) and keep your application for two years unless you ask us otherwise. We use your data solely for recruitment purposes, such as letting you know about new career opportunities at DATAPAO and/or managing your application. But if you want to know more about how we store and manage your data, check our privacy policy . Create a Job Alert Interested in building your career at DATAPAO? Get future opportunities sent straight to your email. Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn profile Website/GitHub How did you hear about DATAPAO? Select How did you hear about this specific job? Select Why are the role and DATAPAO of interest to you? What best describes your legal work status in the United Kingdom? Select What is your desired compensation package? By checking this box, I agree to allow DATAPAO to store and process my data for the purpose of considering my eligibility regarding my current application for employment. By checking this box . click apply for full job details

Description About Port At Port.io, we are building an open and flexible Agentic Engineering Platform for modern engineering organizations. Following our recent $100M Series C funding round, we are in a phase of rapid hypergrowth with strong enterprise momentum. We act as the central nervous system for engineering, enabling platform teams to unify their stack and expose it as a governed layer through golden paths for developers and AI agents. By combining rich engineering context, workflows, and actions, we help organizations transition from manual processes to autonomous, AI-assisted engineering workflows while maintaining control and accountability. As a product-led company, we believe in building world-class platforms that fundamentally shape how modern engineering organizations operate. About the Role As a Solutions Architect (SA) at Port, you will serve as a trusted technical advisor to customers after purchase, guiding the successful design, implementation, and adoption of Port's Internal Developer Portal (IDP). You will partner closely with platform, DevEx, and engineering leaders to ensure Port is deployed in a secure, scalable, and high-impact way across their organization. This role blends technical depth, architectural thinking, and customer consulting. You will translate customer goals into robust solution designs, embed best practices, and help customers future-proof their developer platform while accelerating time-to-value. Working alongside the rest of Customer Success, Product, and Engineering, you will play a key role in turning Port into a core part of each customer's engineering ecosystem. Key Responsibilities: Lead technical discovery sessions and architecture workshops with platform, DevEx, and engineering teams Design scalable, secure, and resilient IDP architectures tailored to customer environments Create solution designs, reference architectures, and integration patterns for successful implementations Review and validate customer architectures against best practices and long-term scalability Act as a trusted technical advisor to engineering managers, platform leads, and senior technical stakeholders Translate developer experience and platform goals into actionable Port configurations and adoption strategies Deliver technical enablement sessions, architecture reviews, and executive readouts to drive value Represent the technical voice of the customer and provide structured feedback to influence the product roadmap Capture and document best practices in playbooks and reusable solution assets Collaborate cross-functionally with Product, Engineering, and Customer Success to improve customer outcomes at scale Mentor customer teams on platform design and IDP best practices to support long-term adoption Requirements: 5+ years of experience in solutions architecture, technical consulting, or customer-facing engineering roles (post-sales or pre/post-sales). Strong foundation in software and systems architecture, cloud-native infrastructure, and modern DevOps practices. Hands on experience with Infrastructure-as-Code tools (e.g., Terraform, Pulumi, Helm) and Kubernetes-based environments. Proven experience guiding customers through complex technical implementations and platform adoption. Excellent communication and presentation skills, with the ability to engage both deep technical audiences and executive stakeholders.

Summary The AI Innovation and Solutions (AIS) team operates with the speed and spirit of a startup, focused on rapidly prototyping and building production grade, cloud native AI applications that integrate cutting edge AI capabilities to directly address the critical needs of our businesses. Our primary goal is to demonstrate the transformative potential of AI within the firm through accelerated application delivery, rapidly deploying impactful solutions, and then seamlessly transferring the application code, cloud integration patterns, robust data models, and operational knowledge to respective business and engineering teams. This hands on engineering role is pivotal in shaping the future of AI adoption at Goldman Sachs by building reliable, highly scalable, cloud optimized AI powered products and fostering a culture of innovation and rapid, continuous delivery. As an AI Application Engineer, you will be instrumental in designing, building, and deploying end to end, cloud native AI applications that leverage advanced AI/Machine Learning solutions to drive tangible business value. You will thrive in a fast paced environment, leveraging your expertise to translate complex business challenges and customer needs into actionable cloud based application architectures, optimized data models, and technical specifications that incorporate AI capabilities, and then implement and deliver these systems with a focus on speed, reliability, and operational excellence. Key Responsibilities Rapid Prototyping & Application Development: Lead the end to end development of applications that integrate and leverage AI/ML models, from architectural design, data schema design, data pipeline construction, and rapid prototyping to initial deployment and operationalization, utilizing cloud native services (e.g., serverless, containerization, managed AI/ML platforms) and CI/CD pipelines for accelerated delivery. Implement robust MLOps practices to streamline model deployment, monitoring, and lifecycle management in cloud environments, including data versioning, feature store integration, and data pipeline management. Business Partnership & Solution Architecture: Collaborate closely with business and engineering teams to deeply understand their challenges and customer needs, identify high impact opportunities to integrate AI capabilities into applications, and translate business requirements into robust cloud optimized application architectures, scalable data models, and technical specifications for AI powered solutions, considering scalability, cost efficiency, security, and data governance principles. Solution Implementation & Delivery: Architect, implement, and deliver scalable, robust, and maintainable cloud native AI applications that consume and operationalize AI solutions based on defined technical specifications and architectures, ensuring seamless integration with existing systems and workflows within the Goldman Sachs ecosystem. Apply strong software engineering principles, data modeling best practices (e.g., relational, NoSQL, graph), DevOps/MLOps best practices, and cloud security standards. Drive automation of deployment, testing, and monitoring processes to ensure rapid and reliable delivery of AI applications. Knowledge Transfer & Enablement: Facilitate effective knowledge transfer through comprehensive documentation, training sessions, mentorship, and pair programming, empowering receiving teams to take ownership and continue the development and maintenance of AI powered applications. Technology & Innovation Leadership: Stay abreast of the latest advancements in application development, system integration, AI/ML technologies, data management platforms, and operational best practices, continuously evaluating and recommending new tools, techniques, and architectural patterns to drive innovation in AI application delivery. Qualifications Bachelor's or Master's degree in Computer Science, Software Engineering, or a related quantitative field. 9+ years of hands on software engineering experience, with a proven track record of building and deploying robust applications, and significant experience integrating AI/ML models. Demonstrated experience building and deploying end to end applications that leverage LLMs and related frameworks. This includes experience with prompt engineering, API integration, and working with agentic frameworks. Strong proficiency in programming languages such as Python, Java, or Go, along with experience integrating with relevant AI/ML frameworks (e.g., TensorFlow, PyTorch). Proven ability to translate complex business requirements into well defined, cloud optimized application architectures, scalable data models (e.g., relational, NoSQL, graph), and technical specifications for AI powered systems, and to subsequently implement and accelerate delivery of robust, production ready systems based on these designs. Extensive experience with major cloud platforms (e.g., AWS, Azure, GCP), including cloud native services (serverless, containerization, managed AI/ML platforms), and a strong command of DevOps/MLOps best practices for automated deployment, monitoring, lifecycle management, data pipeline orchestration, and cloud security standards. Excellent communication capabilities, with the ability to articulate complex technical concepts to both technical and non technical stakeholders across all levels of the organization. Strong collaboration and interpersonal skills, with a passion for mentoring and enabling others. Proven ability to lead or significantly contribute to cross functional projects. Productionize LLMs: Build evaluation framework for open source and foundational LLMs; implement retrieval pipelines, prompt synthesis, response validation, and self correction loops tailored to production operations. Integrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook execution, remediation, and post incident summarization with full traceability. Collaborate directly with users: Partner with production engineers, and application teams to translate production pain points into agentic AI roadmaps; define objective functions linked to reliability, risk reduction, and cost; and deliver auditable, business aligned outcomes. Scale and performance: Optimize cost and latency via prompt engineering, context management, caching, model routing, and distillation; leverage batching, streaming, and parallel tool calls to meet stringent SLOs under real world load. Build agentic AI systems: Design and implement tool calling agents that combine retrieval, structured reasoning, and secure action execution (function calling, change orchestration, policy enforcement) following MCP protocol. Integrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook execution, remediation, and post incident summarization with full traceability. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firm wide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world's leading financial groups. Across the globe, we're 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.The Cloud Team is part of Digital Engineering Services within the Corporate Technology division at MUFG Securities. As AI adoption accelerates across our business lines, we are evolving from a traditional cloud infrastructure function into a diverse engineering capability focused on enabling scalable, sustainable AI solutions.To effectively scale AI adoption and enhance our functional offerings across a dynamic and evolving environment, we are expanding the team with engineers who combine strong cloud expertise with robust software engineering skills. These engineers will help define and deliver next generation cloud patterns, automation frameworks, and AI driven solutions that meet MUFG's governance, security, and regulatory needs.You will join a small, dynamic team of engineers working across Azure, Oracle Cloud, and AWS (as it is onboarded), building secure, repeatable cloud and AI foundations that underpin our critical banking services. MAIN PURPOSE OF THE ROLE This is a hands on engineering role at the intersection of cloud platforms, software development, and AI enablement. You will design, develop, and support bespoke cloud and AI solutions across Azure, Oracle Cloud, and later AWS, applying strong engineering discipline to deliver secure, scalable and sustainable patterns for MUFG.You will be expected to work autonomously, manage ambiguity, and adapt rapidly to evolving business needs while collaborating with application and infrastructure teams to deliver secure, compliant AI and cloud solutions. KEY RESPONSIBILITIES Design and implement cloud and AI ready solutions on Azure (primary), Oracle Cloud, and AWS (as onboarded). Develop bespoke automation, integration, and AI driven components to support business requirements. Build and maintain REST APIs, integration services, and identity-aware solution patterns. Deliver operational (BAU) and project support for cloud and AI workloads. Collaborate across teams to enhance platform stability, security, compliance, and cost efficiency. Drive automation, Infrastructure as Code, CI/CD, and modern engineering practices. Implement governance controls and guardrails for responsible, regulatory-compliant AI use. Produce architectural designs and engineering documentation to support scalable, repeatable solution patterns. SKILLS AND EXPERIENCE Essential Experience Deep hands on Azure engineering experience, including Infrastructure as Code (Bicep/ARM/Terraform). Strong proficiency in Python and PowerShell for automation, integration, and AI workflows. Real world experience implementing and supporting cloud platforms and identity solutions (Azure, Oracle, Entra ID). Experience developing REST APIs, integrating services, and implementing identity flows (OAuth2, tokens). Familiarity with Azure OpenAI, OpenAI SDK/models, and applying AI services to real-world use cases. Strong knowledge of IAM, security patterns, governance, and compliance requirements. Preferred Experience Experience with Azure API Management or similar API gateways. Exposure to AI governance, model lifecycle controls, or responsible AI implementation in regulated environments. Knowledge of Foundry, vectorisation patterns, or AI orchestration frameworks. Key Skills (Prioritised) Cloud Platforms Expertise: Azure (general engineering + PaaS services) Entra ID (identity architecture, authentication flows) AI/ML & Generative AI: Azure OpenAI (deployment, integration, governance) OpenAI SDK, GPT models, embeddings and vector workflows Prompt engineering with governance and safety controls Programming & Scripting Python (essential) PowerShell Governance & Compliance Designing AI guardrails for regulated environments Security and compliance awareness in financial services Ability to operationalise Responsible AI controls API Development & Integration REST API development and integration API Management / API Gateway patterns OAuth2, client credential flows, identity-driven service design Automation & DevOps CI/CD pipelines (GitHub Actions, Azure DevOps, etc.) IaC (Bicep, ARM, Terraform) Reusable automation frameworks 8. Supporting Tools VS Code GitHub Enterprise (Repos, Actions, Packages) Artifactory or similar Education & Certifications Essential: Azure certifications (AZ-104 or higher) Bachelor's degree or equivalent experience PERSONAL REQUIREMENTS Excellent communication skills Results driven, with a strong sense of accountability A proactive, motivated approach. The ability to operate with urgency and prioritise work accordingly Strong decision-making skills, the ability to demonstrate sound judgement A structured and logical approach to work Strong problem-solving skills A creative and innovative approach to work Excellent interpersonal skills The ability to manage large workloads and tight deadlines Excellent attention to detail and accuracy A calm approach, with the ability to perform well in a pressurised environment Strong numerical skills A confident approach, with the ability to present to both management and technical audiencesWe are open to considering flexible working requests in line with organisational requirements.MUFG is committed to embracing diversity and building an inclusive culture where all employees are valued, respected and their opinions count. We support the principles of equality, diversity and inclusion in recruitment and employment, and oppose all forms of discrimination on the grounds of age, sex, gender, sexual orientation, disability, pregnancy and maternity, race, gender reassignment, religion or belief and marriage or civil partnership.We make our recruitment decisions in a non-discriminatory manner in accordance with our commitment to identifying the right skills for the right role and our obligations under the law.

Overview Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our 15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. Responsibilities Own end-to-end NPI service readiness and industrialization for Europe and India, ensuring new products are successfully introduced into service delivery with clear scope, success metrics, and launch gates (readiness, pilot, ramp, and steady-state). Lead CapEx strategy and execution for NPI enablement across EMEA & India service sites: define equipment requirements, develop business cases, obtain approvals, manage procurement, and deliver installation/qualification on schedule and within budget. Drive initial build and validation of NPI service capability, including: Site readiness (facility, utilities, ESD, calibration environment, IT/network constraints) Tooling and test system bring-up (fixtures, automation, metrology, measurement integrity) Software integration/enablement (instrument control, service applications, firmware alignment, data capture, configuration management) Engineering change management and controlled release into production service workflows Develop and execute NPI ramp plans that translate product engineering outputs into service-operable processes: work instructions, checklists, test scripts, quality gates, spares strategy, and process control plans. Design and deliver technician enablement programs across EMEA & India: Training curriculum (classroom + hands-on) Certification / qualification requirements Training materials, labs, and evaluation standards Ongoing coaching and performance reinforcement during ramp Ensure business continuity for Keysight Services by proactively mitigating NPI-driven risk to customer delivery: Continuity strategies for capacity shortfalls, site outages, parts constraints, and software instability Backup routing plans across sites and service modes (VOSCAL, Onsite, RTK) Defined escalation paths and rapid recovery playbooks Act as the senior technical interface between Product Engineering, R&D, Services Ops, IT, Quality, Supply Chain, and Regional Service Leaders to align deliverables, timelines, and launch readiness. Build and maintain integrated NPI program schedules (multi-site, multi-workstream): equipment readiness, software readiness, training readiness, documentation readiness, and go-live readiness. Implement project governance and reporting: Executive-level dashboards and weekly operating reviews KPI tracking (readiness gating, build yield, cycle time, throughput, training completion, defect escape rates, tool uptime) Risk/issue management with action owners and due dates Standardize and scale best practices across EMEA & India: Common templates for NPI readiness, CapEx justification, training/certification, and site deployment Repeatable playbooks for capability deployment and transfers Lessons learned capture and integration into future NPI cycles Support service delivery model alignment (VOSCAL, Onsite, RTK) by defining where NPI capabilities should live, how they should be supported, and what operational mechanisms are required for sustainable execution. Drive cross-functional continuous improvement to improve readiness lead time, reduce ramp instability, and increase first-time-right capability deployment. Qualifications Bachelor's degree in Electrical Engineering, Mechanical Engineering, Systems Engineering, Computer Engineering, Physics, or equivalent technical discipline (Master's preferred). 8+ years experience in NPI, service enablement, manufacturing/test engineering, or technical program/project management within high-tech instruments, electronics, or measurement systems. Demonstrated ability to lead CapEx planning and deployment: requirements definition, business case development, vendor coordination, procurement lifecycle, installation/qualification, and audit-ready documentation. Proven experience driving initial build / pilot / qualification activities, including test systems bring-up, measurement validation, yield stabilization, and process industrialization. Strong software and systems enablement understanding relevant to service operations (e.g., test automation, instrument control software, firmware alignment, data systems, configuration management, service tools). Hands-on experience creating and executing training programs for technicians/engineers, including competency models, certification, and practical validation methods. Advanced program/project management capability, including multi-site scheduling, risk management, critical path control, stakeholder governance, and executive reporting. (PMP/Prince2 or equivalent strongly preferred.) Deep understanding of service operations and customer delivery models, including VOSCAL, Onsite, and RTK, and the tradeoffs across turnaround time, quality, cost, and customer experience. Strong leadership and influence skills-able to align R&D, operations, quality, IT, and supply chain without direct authority; confident presenter to executives. Ability to travel across Europe and India as needed for deployments, training, and ramp support (typical expectation 20-40%, adjustable by location/site distribution). Preferred Experience specifically within Keysight Services or comparable electronic test & measurement service organizations (calibration, repair, upgrades, asset services). Familiarity with regulated or audit-driven environments (e.g., ISO/IEC 17025, ISO 9001), and quality systems that govern measurement integrity, calibration traceability, and controlled procedures. Experience with business continuity planning in technical operations: redundancy strategy, capacity planning, alternate routing, rapid recovery playbooks, and risk-based launch gating. Strong knowledge of spares strategy, supplier constraints management, and service BOM readiness for NPI. Proven record deploying global process standards and scaling capability across multiple service hubs. Careers Privacy Statement Keysight is an Equal Opportunity Employer.

Location London, UK Employment Type Full time Department Go To Market About the team The Codex Deployment Engineering team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Our customers span digital-native companies to global enterprises, and we work side-by-side to accelerate how they plan, build, and deliver software. About the Role We are seeking a technically deep, creativity-driven AI Deployment Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt. This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You'll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world's most influential companies. In this role, you will Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows. Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout. Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process. Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely. Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex. Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams. Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows. Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption. You'll thrive in this role if you Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers. Are an active power user of AI coding tools and have deeply customized your own developer workflow; you have a point of view on what makes engineers more productive. Enjoy building scrappy, high-signal demos, integrations, and prototypes that clearly articulate what Codex can enable, often using Codex to accelerate your own development process. Have experience delivering large, high-impact workshops or technical training to engineering teams and know how to craft sessions that are engaging, hands-on, and outcomes-driven. Have contributed technical guides, patterns, or examples publicly and care about clarity, pedagogy, and community impact. Communicate complex technical concepts in clear, persuasive written and verbal form especially when helping customers make strategic decisions about where and how to apply AI. Are excited by ambiguous, rapidly evolving problem spaces and enjoy iterating toward novel solutions hand-in-hand with customers. Care about customer success, reliability, safety, and operational excellence as much as you care about technical ingenuity. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws.

The AI Architect is a strategic technical partner to the commercial leadership team, responsible for building AI-powered infrastructure that drives predictable, scalable revenue growth. You will combine advanced engineering with commercial analytics, creating intelligent systems that automate workflows, surface insights and enhance decision-making across Sales, Marketing and Customer Success. This is a hands-on, technical role for someone who enjoys building production systems, deploying models and solving real business problems with AI. You'll be responsible for both AI engineering (LLMs, ML models, intelligent automation) and foundational commercial analytics, ensuring the business has robust data infrastructure alongside intelligent capabilities that provide genuine competitive advantage. You will own commercial analytics and the technical architecture of our commercial data ecosystem, whilst building AI solutions that transform how teams operate. A core expectation is to champion an AI-first approach: using AI and automation not just to make existing processes more efficient, but to help the organisation re-imagine how we work. Key Responsibilities AI Engineering & Intelligent Automation Design, build and deploy production AI solutions that drive commercial efficiency and unlock new capabilities for GTM teams. Develop and maintain machine learning models for revenue forecasting, pipeline prediction, lead scoring, churn risk and expansion opportunity identification. Build intelligent automation using LLMs and AI agents to streamline commercial processes (deal analysis, customer sentiment analysis, competitive intelligence, automated reporting). Create AI-enhanced analytics capabilities that surface patterns, anomalies and opportunities that traditional methods would miss. Prototype and ship AI-enabled workflows rapidly, using tools like Claude, coding assistants and modern AI platforms. Evaluate and integrate emerging AI tools, establishing best practices for responsible AI deployment across commercial teams. Partner with Sales, Marketing and Customer Success to identify high-impact opportunities for AI-driven improvement. Revenue Analytics & Insight Deliver clean, reliable data and analysis on NRR, GRR, logo retention, expansion and churn, enabling commercial leaders to turn metrics into actionable strategy. Build sophisticated analytics combining traditional methods and ML approaches to surface leading indicators and inform proactive decision-making. Translate complex datasets into clear narratives, dashboards and recommendations for senior stakeholders and the board. Commercial Systems & Data Infrastructure Own the technical architecture of the commercial data ecosystem, ensuring clean data flow between Salesforce, marketing platforms, product analytics and data warehouses. Act as commercial data and systems owner: define data models, governance, definitions and quality standards. Drive Salesforce technical excellence where needed: build custom objects, fields, automation and integrations that reflect business logic. Build and maintain executive-level dashboards (e.g. in QuickSight or similar) combining traditional metrics with AI-generated insights. Ensure seamless integration between product telemetry, CRM data and commercial analytics systems. Stakeholder Management & Technical Leadership Operate as a trusted advisor to the COO, CCO and commercial leadership on AI capabilities and data-driven strategy. Work closely with leaders such as the VP Sales, VP Customer and VP Marketing to understand their questions, then design AI tools and analysis that answer them. Communicate complex technical concepts clearly to non-technical stakeholders; frame problems and recommend solutions with clarity. Build strong cross-functional relationships with Finance and Commercial teams, influencing without authority. Support onboarding and enablement of commercial team members on AI-powered tools, dashboards and new ways of working. Establish responsible AI practices, addressing bias, explainability and ethical considerations in commercial AI applications. Essential 4+ years in AI/ML Engineering, Data Science, Software Engineering or Commercial Analytics with demonstrated AI application development. Proven ability to work with LLMs and AI agents (OpenAI, Anthropic, open-source models) to build practical business applications. Familiarity with prompt engineering, RAG (retrieval-augmented generation) architectures and fine-tuning approaches. Confident working with APIs, databases and modern data stacks, comfortable learning new tools quickly. Comfortable working with product usage and adoption data Ability to translate business problems into technical solutions and measure impact on commercial outcomes. Excellent communication skills: comfortable presenting to C-suite and translating technical work into business value. Pragmatic builder: bias for shipping working solutions over perfect architectures. Desirable Experience working with CRM systems and commercial datasets (Salesforce experience highly desirable). Experience with sales engagement and email marketing platforms (Outreach, Salesloft, HubSpot). Background in Revenue Operations, Commercial Analytics or SaaS growth analytics. Experience with BI tools (Tableau, Looker, Power BI) and AWS QuickSight. Understanding of causal inference methods for measuring intervention impact. Experience in legal tech, professional services software or complex B2B sales environments. Track record of building internal tools or platforms used by non-technical teams. What we offer you Competitive salary (depending on experience) 25 days holiday per year (plus public holidays). Early Finish Fridays - on the last Friday of every month, we finish at lunchtime! Pension with NEST. Personal Learning & Development budget. Enhanced parental leave policies so you can spend more time with your family. Lots of opportunities for accelerated professional development and career progression. Work alongside a supportive and talented team with the opportunity to grow one of the world's leading LegalTech scale-ups. A warm, genuinely collaborative culture and an awesome team; and Regular socials. Power in diversity We put users at the heart of our design to provide legal transaction experiences that everyone loves. In order to make that a reality, we seek to foster a diverse and inclusive working environment that can empower our people to be creative, effective and innovative, to build a brand we are proud of. We don't discriminate against gender, race, religion or belief, disability, age, marital status or sexual orientation. Whatever your background may be, we welcome anyone with talent, drive and emotional intelligence. We're committed to building a diverse team, and are constantly looking for ways to improve our processes to help us do that.

The Business Analyst is a strategic business partner to the commercial leadership team, sitting at the intersection of business and technology. You will design and build the operational infrastructure that drives predictable, scalable revenue growth, with a particular focus on data, automation and AI-enabled systems. This is a hands on, junior to mid technical role for someone who enjoys building things, connecting tools and turning messy data into clear, usable insight. You will own commercial analytics, forecasting and the core commercial systems, whilst driving data informed decision making across Sales, Marketing and Customer Success. A significant portion of the role involves working with product usage and adoption data, partnering closely with Engineering and Product to connect customer behaviour, feature adoption and platform health to commercial outcomes. You will use AI tools (Claude, coding assistants and others) to rapidly prototype, automate and deploy business processes, dashboards and lightweight internal applications. A core expectation is to champion an AI first approach: using automation and emerging tools not just to make existing processes more efficient, but to help the organisation re imagine how we work. Key Responsibilities Revenue Strategy & Insight Deliver clean, reliable data and analysis on NRR, GRR, logo retention, expansion and churn, enabling commercial leaders to turn metrics into actionable strategy. Partner with Sales, Marketing and Existing Business teams to identify growth levers, segment trends and operational bottlenecks across the customer lifecycle. Analyse cohort behaviour, product adoption and revenue drivers, surfacing leading indicators that allow teams to act proactively. Translate complex datasets into clear narratives, dashboards and recommendations for senior stakeholders and the board. Revenue Operations, Process & Systems Act as commercial data and systems owner: define data models, governance, definitions and quality standards across Salesforce and associated tools. Design scalable workflows, playbooks and operating rhythms that support continuous growth, with an emphasis on automation over manual process. Drive Salesforce excellence where needed (structure, hygiene, automation), while recognising that Salesforce is one component of a broader AI centred stack. Build and maintain executive level dashboards (e.g. in QuickSight or similar) that provide real time visibility into pipeline health, forecast accuracy and business performance. Lead cross functional initiatives to improve commercial efficiency, reduce friction and accelerate revenue velocity, using AI and lightweight applications to connect systems. AI, Automation & Internal Tools Own and evolve the commercial tech stack (Salesforce and other tools), with a growing focus on AI connectivity, automation and "glue" systems that join data and workflows together. Use AI coding assistants and Claude to build small internal applications, scripts and dashboards (for example, tools to host and serve dashboards or automate data pipelines). Prototype and deploy AI enabled workflows for the commercial teams, such as transcript analysis, SDR enablement and campaign insights. Ensure seamless data flow between commercial systems, Finance and product/usage data systems. Stakeholder Management & Enablement Operate as a trusted advisor to the COO, CCO and commercial leadership, providing pragmatic, data grounded recommendations. Work closely with leaders such as the VP,Sales, VP, Customer and VP,Marketing to understand their questions, then design data and tooling that answers them. Support onboarding and enablement of commercial team members on systems, dashboards and AI enabled ways of working. Build strong cross functional relationships, influencing without authority to drive alignment and execution across Commercial, Product, Engineering and Finance. Essential 3-5 years' experience in Business Analysis, Data/Commercial Analysis, Product Analytics, Strategy, Operations or Software Engineering, ideally with exposure to commercial or revenue facing functions. Advanced analytical skills: expert level Excel/Google Sheets and strong capability in SQL and/or a BI tool (e.g. QuickSight, Looker, Tableau, Power BI). Confident working with APIs, databases and modern data stacks (e.g. PostgreSQL, MongoDB, cloud data stores), and comfortable learning new tools quickly. Comfortable working with product usage and adoption data, collaborating with Engineering and Product to analyse behaviour and inform commercial strategy. Demonstrable experience using AI tools (e.g. Claude, GitHub Copilot or similar) to accelerate analysis, build small applications or automate workflows. Proven ability to design processes, frameworks and documentation that drive operational excellence and can be owned by business teams once implemented. Excellent stakeholder management: confident communicating with senior leadership and cross-functional teams Structured problem solver with strong attention to detail and commercial pragmatism Desirable Background as a junior or mid level software developer or data engineer who enjoys business problems more than pure software engineering. Experience with AWS QuickSight or similar cloud based BI platforms. Experience working in legal tech, professional services software or complex B2B sales environments Exposure to AI enabled tools for data analysis, automation or insight generation Strong understanding of B2B SaaS business models and key commercial metrics (NRR, GRR, CAC, LTV, pipeline dynamics) What we offer you Competitive salary (depending on experience) 25 days holiday per year (plus public holidays). Early Finish Fridays - on the last Friday of every month, we finish at lunchtime! Pension with NEST. Personal Learning & Development budget. Enhanced parental leave policies so you can spend more time with your family. Lots of opportunities for accelerated professional development and career progression. Work alongside a supportive and talented team with the opportunity to grow one of the world's leading LegalTech scale ups. A warm, genuinely collaborative culture and an awesome team; and Regular socials. Power in diversity We put users at the heart of our design to provide legal transaction experiences that everyone loves. In order to make that a reality, we seek to foster a diverse and inclusive working environment that can empower our people to be creative, effective and innovative, to build a brand we are proud of. We don't discriminate against gender, race, religion or belief, disability, age, marital status or sexual orientation. Whatever your background may be, we welcome anyone with talent, drive and emotional intelligence. We're committed to building a diverse team, and are constantly looking for ways to improve our processes to help us do that.

Job title: AI Developer Location: Reading - strong preference, Manchester or Leeds (hybrid working available) Hours: Monday to Friday, 37.5 hours per week Split of Responsibilities: 50% Delivery / 50% Internal Development & Enablement About BCN At BCN we unite people and technology to enable organisations to fly. We believe people and organisations can achieve anything using technology to its full potential. Our role is to help them understand what is possible, implement in the right way and utilise their technology to achieve their ambitions. Which is why we put people front and centre - building client relationships for life and fostering a culture where our people thrive. We are a leading managed IT services provider and technology consultant, specialising in delivering transformative technology solutions with industry-leading client experience across business, public sector and not for profit organisations. From cloud computing, cybersecurity, and data management to power app development, we are dedicated to pioneering technology with Microsoft innovation. Guided by our 3 values of building relationships, customer success and passion and dedication, we are on a mission to make BCN the most trusted tech partner in the UK today. The kind of company clients want to work with, and people want to work for. We are delighted you are on this journey with us! Focus of the role This role is for a curious, hands on developer who wants to be at the forefront of AI powered software development. You'll join a small, agile team building innovative solutions that integrate large language models, agentic systems, and Azure AI services into real world applications. We're looking for someone who thrives on understanding how things work, isn't afraid to experiment, and wants to shape how we deliver AI solutions to clients and evolve our internal capabilities. If you're excited by vibe coding, AI assisted development, and the rapidly evolving world of LLMs and autonomous agents-and you want to actually build with these technologies rather than just talk about them-this role is for you. Responsibilities Key Delivery Responsibilities Design, develop, and deploy AI integrated solutions for client engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Build and refine LLM powered features, agentic workflows, and MCP (Model Context Protocol) integrations. Collaborate with clients to understand requirements and translate them into working software. Contribute to technical research, prototyping, and proof of concept development to support client proposals. Internal Development / Enablement Responsibilities Contribute to the development of internal AI tools, accelerators, and reusable components. Explore and evaluate emerging AI technologies, frameworks, and development approaches. Support the adoption of AI assisted development practices (vibe coding, AI testing, agentic development) across the team. Help shape product strategy by identifying opportunities to package and position AI solutions. Participate in knowledge sharing, internal training, and capability building within the AI and Data Innovation team. Person, Skills & Experience Solid full stack development experience across one or more of: React/Node.js, .NET/C#, Python/FastAPI. Hands on experience with Azure cloud services and CI/CD pipelines (Azure DevOps). Demonstrable ability to learn new technologies quickly and apply them practically. Strong problem solving mindset with attention to code quality and engineering rigour. Comfortable working independently while contributing to a collaborative small team environment. Excellent communication skills-able to explain technical concepts to non technical stakeholders. Advantageous Experience with LLM integration, prompt engineering, or agentic AI development. Familiarity with AI assisted development tools such as GitHub Copilot, Claude, and Cursor. Azure AI Engineer certification or equivalent practical experience. Understanding of MCP, RAG architectures, or vector databases. Why BCN? The opportunity to shape your own future with industry leading training and development, with access to our BCN Academy. Competitive salary with the ability to progress. 23 days holiday allowance, increasing with length of service, plus bank holidays, an extra day off on your birthday and the option to buy more! Company pension scheme. 2 paid leave days per year to volunteer and support your local community - if it matters to you it matters to us. Health cash plan with free access to a confidential Employee Assistance Programme (EAP) supporting bereavement, financial, health and wellbeing, and much more. Life assurance. Cycle to work scheme, electric vehicle scheme, home and tech scheme, and retail discounts. Balancing work, life, and fitness can be challenging, so we offer a free on site gym at our Manchester and Leeds locations to make it easier to stay active. Long service recognition to celebrate all the milestones. Beer (or soft drinks) and Pizza Friday's, dress down every day, social events such as Summer BBQ, Christmas party and lots more!

Job title: AI Developer Location: Reading - strong preference, Manchester or Leeds (hybrid working available) Hours: Monday to Friday, 37.5 hours per week Split of Responsibilities: 50% Delivery / 50% Internal Development & Enablement About BCN At BCN we unite people and technology to enable organisations to fly. We believe people and organisations can achieve anything using technology to it's full potential. Our role is to help them understand what is possible, implement in the right way and utilise their technology to achieve their ambitions. Which is why we put people front and centre - building client relationships for life and fostering a culture where our people thrive. We are a leading managed IT services provider and technology consultant, specialising in delivering transformative technology solutions with industry-leading client experience across business, public sector and not for profit organisations. From cloud computing, cybersecurity, and data management to power app development, we are dedicated to pioneering technology with Microsoft innovation. Guided by our 3 values of building relationships, customer success and passion and dedication, we are on a mission to make BCN the most trusted tech partner in the UK today. The kind of company clients want to work with, and people want to work for. We are delighted you are on this journey with us! Focus of the role This role is for a curious, hands on developer who wants to be at the forefront of AI powered software development. You'll join a small, agile team building innovative solutions that integrate large language models, agentic systems, and Azure AI services into real world applications. We're looking for someone who thrives on understanding how things work, isn't afraid to experiment, and wants to shape how we deliver AI solutions to clients and evolve our internal capabilities. If you're excited by vibe coding, AI assisted development, and the rapidly evolving world of LLMs and autonomous agents-and you want to actually build with these technologies rather than just talk about them-this role is for you. Responsibilities Key Delivery Responsibilities Design, develop, and deploy AI integrated solutions for client engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Build and refine LLM powered features, agentic workflows, and MCP (Model Context Protocol) integrations. Collaborate with clients to understand requirements and translate them into working software. Contribute to technical research, prototyping, and proof of concept development to support client proposals. Internal Development / Enablement Responsibilities Contribute to the development of internal AI tools, accelerators, and reusable components. Explore and evaluate emerging AI technologies, frameworks, and development approaches. Support the adoption of AI assisted development practices (vibe coding, AI testing, agentic development) across the team. Help shape product strategy by identifying opportunities to package and position AI solutions. Participate in knowledge sharing, internal training, and capability building within the AI and Data Innovation team. Person, Skills & Experience Solid full stack development experience across one or more of: React/Node.js, .NET/C#, Python/FastAPI. Hands on experience with Azure cloud services and CI/CD pipelines (Azure DevOps). Demonstrable ability to learn new technologies quickly and apply them practically. Strong problem solving mindset with attention to code quality and engineering rigour. Comfortable working independently while contributing to a collaborative small team environment. Excellent communication skills-able to explain technical concepts to non technical stakeholders. Advantageous Experience with LLM integration, prompt engineering, or agentic AI development. Familiarity with AI assisted development tools such as GitHub Copilot, Claude, and Cursor. Azure AI Engineer certification or equivalent practical experience. Understanding of MCP, RAG architectures, or vector databases. Why BCN? The opportunity to shape your own future with industry leading training and development, with access to our BCN Academy. Competitive salary with the ability to progress. 23 days holiday allowance, increasing with length of service, plus bank holidays, an extra day off on your birthday and the option to buy more! Company pension scheme. 2 paid leave days per year to volunteer and support your local community - if it matters to you it matters to us. Health cash plan with free access to a confidential Employee Assistance Programme (EAP) supporting bereavement, financial, health and wellbeing, and much more. Life assurance. Cycle to work scheme, electric vehicle scheme, home and tech scheme, and retail discounts. Balancing work, life, and fitness can be challenging, so we offer a free on site gym at our Manchester and Leeds locations to make it easier to stay active. Long service recognition to celebrate all the milestones. Beer (or soft drinks) and Pizza Friday's, dress down every day, social events such as Summer BBQ, Christmas party and lots more!