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Location: Portsmouth office with a hybrid working model Hours: Full time Salary: From £60,000, negotiable dependent on experience. The role comes with a competitive benefits package including pension (7% company contribution), additional holiday purchase options and life assurance. Sirius Analysis, we are a rapidly growing consultancy firm, renowned for our reputation and our keen ability to understand and meet customer requirements effectively. Our team is dedicated to delivering high-quality, end-to-end consultancy services, ranging from requirements management and modelling and simulation through to P3M. We operate across multiple sectors, including defence, energy, and health. We are looking for Principal Consultant to join our Systems Engineering team as we go through our next phase of growth. Our Systems Engineering function is responsible for understanding clients challenges and finding solutions to their problems. Our capabilities cover the full lifecycle from Requirements Engineering; Architecture Development; Systems Analysis, Analysis of Alternatives; Integration Verification Validation and Testing; through to Sustainment; Disposal and Replacement. With staff that are active members of INCOSE, we can provide you with technical leaders and a trusted service that is based on best practice and places systems thinking and systems approaches at the heart of any project. The role As a principal consultant, you'll be expected to be involved with both delivering high-value solutions and contributing to business growth through client engagement, technical leadership, and mentoring. You will be expected to lead on Major consulting projects ensuring technical excellence is delivered and the client's expectations are met. Your role will involve elements of team leadership, client delivery, providing technical expertise, and business development contributing to the identification of opportunities and providing input to bids. Responsibilities will include: Leading major consulting projects, ensuring technical excellence and client satisfaction. Providing strategic advice on systems engineering approaches for defence programs. Leading the development of architectures, system integration strategies, and technical roadmaps. Leading business development by identifying opportunities, contributing to bids, and expanding client relationships. Acting as a subject matter expert in systems engineering disciplines such as model-based systems engineering (MBSE), capability development, and technical assurance. Mentoring and developing internal capability, supporting training and professional development initiatives. About you You will have an extensive experience of systems engineering in a consulting setting demonstrating capability analysis techniques, and the proven ability to develop technical solutions to business problems. Candidates will require expertise in some or all of the following areas: Strong analytical and problem-solving skills, with the ability to develop innovative and practical solutions for client challenges. Proven experience in stakeholder engagement, including working with UK MOD, defence primes, and government bodies. Ability to lead and mentor teams, providing technical oversight and professional development to junior and mid-level consultants. Experience developing and implementing best practices in systems engineering, shaping company methodologies and frameworks. Excellent communication skills, capable of influencing senior stakeholders and presenting complex technical information to a wide range of audiences. Strong business acumen and commerciality Lead business development by identifying opportunities, bid delivery, and expanding client relationships. Deep technical knowledge in systems engineering within defence or similar high-integrity domains. Experience leading technical teams and projects within the defence, aerospace, or security sectors. Familiarity with defence acquisition frameworks Other Requirements Candidates must have an existing right to live and work in the UK. Candidates must be willing to undergo an internal baseline personnel security standard check prior to starting their employment with the company. Candidates must be willing and eligible to complete a United Kingdom Security Vetting (UKSV) security clearance application to the Security Check (SC) level upon starting their employment with the company. To gain SC Clearance you will normally need at least 5 years' UK residency. What we offer We offer a combination of mentoring and internal and external training opportunities, with specialist sector organisations and inhouse courses. You will have exposure to subject matter experts and additional online learning packages. The role comes with a competitive benefits package including pension (7% company contribution), additional holiday purchase options, private health care, life assurance and electric vehicle scheme. To Apply To apply please send a covering email and CV to . CVs are reviewed upon submission and initial phone for face-to-face interviews are likely to begin within two weeks dependent on availability. Feedback will be given on all interview candidates regardless of success. Interested in this role? Send us your CV and a bit about yourself!

BR-DGE in Edinburgh is seeking a Senior Software Development Engineer in Test to build and scale our automated testing infrastructure. The role focuses on engineering systemic solutions that allow development teams to own their quality and deploy safely. Ideal candidates are passionate about infrastructure and code quality, with advanced skills in Java or TypeScript. We offer a competitive salary, flexibility in a remote-first culture, extensive holiday, and a commitment to diversity and inclusion.

Join us to shape the future of AI-driven business operations. You will have the opportunity to create scalable, safe, and reliable agentic solutions that transform how we work. We value your expertise in building multi-agent systems and your passion for collaborating across teams. At our company, you can grow your career, expand your skills, and make a meaningful impact. Be part of a team that thrives on innovation and continuous improvement. As an AI Engineer in our Agentic AI Solutions team, you will design, build, and deploy autonomous and assistive AI agents that streamline complex workflows. You will collaborate with cross-functional partners to translate operational needs into robust multi-agent systems, leveraging advanced frameworks and technologies. Your work will directly impact our business by delivering scalable and reliable AI solutions. We foster a culture of innovation, learning, and teamwork, where your contributions are valued and your growth is supported. Job Responsibilities Architect, develop, and productionize autonomous and assistive AI agents to enhance operations. Design multi-agent systems, including role definition, tool integration, planning, memory, and workflow orchestration using modern agent frameworks. Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search with vector databases, including indexing, retrieval policies, and evaluation. Build and integrate agent tools and APIs to connect agents with external services, databases, and internal systems, ensuring robust output parsing and error handling. Practice advanced prompt engineering and implement output validation and guardrails to reduce hallucinations. Design microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing, metrics, and feedback loops. Partner with stakeholders to define requirements, design intuitive human-AI interfaces, and deliver measurable business impact. Analyze data to inform agent capabilities, optimize retrieval, and drive data-driven decision-making; conduct A/B tests and performance evaluations. Mentor and guide team members on agent frameworks, LLM usage, safety, and best practices. Required Qualifications, Capabilities, and Skills Advanced degree in Computer Science, Data Science, Machine Learning, or related field. Experience building and deploying agentic AI applications in production environments. Expertise with ML frameworks such as PyTorch, TensorFlow, and scikit-learn. Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts. Hands on experience with agent frameworks such as LangChain, CrewAI, AutoGen, LangGraph. Knowledge of generative models including transformers, GANs, VAEs, and diffusion models. Understanding of data preprocessing, feature engineering, and model/agent evaluation techniques. Familiarity with cloud platforms and containerization technologies. Strong problem solving skills and ability to work independently and collaboratively. Effective communication skills for technical and non technical audiences. Preferred Qualifications, Capabilities, and Skills Experience in financial services, especially investment banking operations. Experience fine tuning small language models with approaches like LoRA, QLoRA, DoRA; quantization and distillation. Familiarity with prompt optimization frameworks and building prompt pipelines and evaluation suites. Experience with distributed computing, data sharding, and performance optimization. Hands on experience with AWS services related to AI deployment and workflow orchestration. Why Join Us We offer a competitive salary and benefits package, opportunities for professional growth, and a collaborative, innovative environment focused on responsible AI. You will work on impactful projects that shape the future of finance and have the chance to make a real difference. Equal Opportunity Employment We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. Team 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation The Opportunity Relay's Network squad builds the forecasting engine that powers every operational decision in the business. Demand forecasts drive shift release in sortation. Expansion models determine where the network grows. Parcel intelligence feeds route planning and vehicle loading. When the squad ships a better model, the impact multiplies across five consuming squads, Finance, and ultimately Relay's cost per parcel. The squad is growing from four people to ten: Data Scientists, Analysts, and a Software Engineer, each contributing to a system that spans demand forecasting, expansion modelling, parcel dimensions, sortation predictions, and demand management. That system has dependencies on Sortation, Middle Mile, Last Mile, Routing, and Commercial - plus Finance, who extend the operational forecasts into longer-range financial projections. It also supports four embedded analysts sitting in other squads across the business. As Programme Manager for the Network squad, you coordinate the delivery of this system. The role involves taking the squad's roadmap and turning it into a structured programme - tracking commitments, managing cross-squad dependencies, removing blockers, and keeping stakeholders informed. The specifics of the programme will develop as you ramp up and learn how the squad and its consuming teams work together. The squad lead sets technical direction and manages people. You work alongside them to keep the programme on track, supported by a team that values coordination and wants to deliver well. Relay operates a centralised data team of around 30 data engineers, analysts, and data scientists. The Network squad sits within this team and serves every operational squad in the business. You will work with the squad lead, the Data Scientists and analysts in the squad, and the leads of the five consuming squads. What You'll Do Coordinate the delivery programme for the Network squad: roadmap tracking, sprint management, cross-squad coordination, and dependency management across a 10-person team Manage dependencies with five consuming squads (Sortation, Middle Mile, Last Mile, Routing, Commercial) and Finance, ensuring that what Network delivers matches what those teams need and when they need it Run the squad's delivery cadence: cycle planning, triage, standups, retros, and cross-functional syncs Track commitments and surface risks early - identifying which initiatives are on track, which are slipping, and what needs to change Remove blockers that sit outside the squad: engineering dependencies, data access, stakeholder alignment, prioritisation conflicts with other squads Coordinate the work of four embedded analysts in other squads (Routing, Sortation, Middle Mile, and one TBC), ensuring alignment with Network's priorities Keep stakeholders informed with regular updates on what's shipped, what's in progress, and what's changed Support the squad lead by taking on operational coordination, freeing them to focus on technical direction, model quality, and strategic relationships Who Will Thrive in This Role? You have at least 5 years of experience in programme management, delivery management, or a similar coordination role, ideally in a technical or data-heavy environment. You have experience managing multiple workstreams. You have experience working in technical environments even if you're not a data scientist yourself. You can follow a conversation about model accuracy, forecast horizons, and pipeline reliability enough to know when something is blocked, behind, or being under-scoped. The squad will help you build domain knowledge as you ramp up. You have experience tracking commitments and following up when things stall. You bring structure to how teams track and deliver their work. You have experience coordinating across teams without direct authority - helping squads understand what's expected and when. You have experience communicating with stakeholders at different levels - giving a squad lead a quick update on a dependency, giving senior leadership a picture of the programme's health, and giving a Data Scientist an answer on when their work will be prioritised. You have experience managing dependencies and how work connects across teams. You plan for how one squad's timeline affects another's. Experience in logistics, data platforms, or forecasting environments is a plus, but what matters more is the ability to learn a complex technical domain quickly and manage a programme within it effectively. Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.

About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you're hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are seeking a skilled and proactive Full Stack Engineer to join a high-performing remote team. In this role, you'll be responsible for designing, developing, and maintaining scalable web applications across both frontend and backend systems. This is an exciting opportunity for engineers who enjoy working on impactful products, collaborating cross-functionally, and owning features end-to-end. Key Responsibilities Develop and maintain responsive, high-performance web applications (frontend + backend) Collaborate with product managers, designers, and engineers to deliver new features Build and integrate APIs, services, and third-party tools Optimize applications for scalability, speed, and security Write clean, maintainable, and well-documented code Troubleshoot, debug, and upgrade existing systems Participate in code reviews and contribute to engineering best practices Stay up-to-date with emerging technologies and frameworks Qualifications 3+ years of experience in full stack development Strong proficiency in JavaScript/TypeScript and modern frameworks (e.g., React, Next.js, Node.js) Experience with backend technologies (e.g., Express, Python, Ruby, or Java) Solid understanding of RESTful APIs and database systems (SQL/NoSQL) Familiarity with cloud platforms (AWS, GCP, or Azure) Experience with version control systems like Git Strong problem-solving skills and attention to detail Excellent communication skills and ability to work in a remote environment Nice-to-Have Experience with DevOps practices (CI/CD pipelines, Docker, Kubernetes) Exposure to microservices architecture Knowledge of testing frameworks (Jest, Cypress, etc.) Previous experience working in SaaS or startup environments Competitive salary based on experience and seniority Fully remote role with flexible work environment Work with innovative global companies in high-growth industries Long-term career growth and upskilling opportunities Ownership of impactful projects and real product influence Collaborative, international team culture

Senior AI / ML Engineer - 12 month Fixed Term Contract, West London. Hybrid work model: onsite 2 days per week. Responsibilities Design, train and optimise machine learning models focused on user personalisation, including recommendation engines, ranking algorithms, user segmentation and content analysis. Construct and maintain robust, scalable data pipelines for feature engineering and model training, handling both structured and unstructured large scale datasets. Deploy and supervise ML models in production, ensuring high availability, optimal performance and continued relevance. Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Collaborate with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Evaluate emerging research in machine learning, deep learning and personalisation for potential integration within existing systems. Qualifications Demonstrated experience across the full machine learning lifecycle: model development, deployment, serving, monitoring and maintenance. Proficiency in Python and familiarity with ML libraries/frameworks such as TensorFlow and PyTorch. Experience with ML training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and model serving technologies (e.g., TensorFlow Serving, Triton, TorchServe). Knowledge of high volume data processing and real time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Excellent communication and analytical problem solving skills. Preferred: experience working on OTT platforms; experience in Scala. Location & Contract West London - Hybrid. 12 month Fixed Term Contract.

TwinThread in London is seeking a Lead Software Engineer to join their Global Equity Derivatives Technology team. In this role, you will collaborate with developers, quants, and traders to deliver innovative trading solutions and maintain core systems. Your contributions will significantly impact trading and investment strategies. Ideal candidates should possess strong analytical skills, a background in software engineering, and an ability to work effectively in a fast-paced environment. Join us to thrive on teamwork and innovation while shaping the future of financial technology.

Roku, Inc. is seeking a senior engineer to lead the design and implementation of real-time ads auction systems that power Roku's advertising across its platforms. The ideal candidate will have over 5 years of experience in building large-scale distributed systems and cloud infrastructure, as well as deep expertise in Java microservices and databases. Responsibilities include optimizing yield through innovative auction design and collaboration with cross-functional teams. The role is based in Cambridge, UK, with a hybrid work model.

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

Crane Venture Partners is looking for an Applied Engineer to design and own the agent system that compiles an organization's tribal knowledge using multiple data sources. This senior role requires over 8 years of experience in building production systems, particularly with Python and agentic frameworks. You will work in a small, dynamic team, ensuring production reliability and building reliable knowledge artifacts. The position is based in Greater London.

Position Overview Senior Manager, Technology, Insights & Analytics (DePuy Synthes, Johnson & Johnson). The role owns the digital, data, and analytics strategy that enables effective decision making across global real estate, facilities management, and capital project delivery. Job Location(s) Leeds, United Kingdom; United States (multiple locations across New Brunswick, New Jersey, Raritan, New Jersey, Raynham, Massachusetts, West Chester, Pennsylvania, Warsaw, Indiana, Palm Beach Gardens, Florida) - candidates may apply to the location most suitable to them. Key Responsibilities Data & Analytics Strategy - Define and own end to end analytics and insights strategy, establish a single source of truth, and ensure analytics directly support executive, portfolio, and investment decisions. Digital Systems & Enablement - Own the digital tools and systems roadmap, partner with IT for system integration, automation, and data quality, and simplify and standardize tools and reporting across regions. Portfolio Analytics & Insights - Deliver actionable insights on portfolio performance, capital efficiency, project risk, cost, and schedule; develop executive dashboards and forward looking analytics; incorporate external benchmarks and market intelligence. People Leadership & Team Development - Lead, mentor, and develop a high performing analytics team; establish best practices for analytics methodologies and insight generation. Performance Management & Governance - Enable performance tracking across capital projects, support governance forums with fact based insights, and identify trends, risks, and systemic issues before they arise. Stakeholder Partnership - Act as a trusted advisor to senior leaders, closely partnering with strategic project management, engineering standards, business operations/finance, and communications/crisis management. Qualifications Education - Bachelor's degree required in Data Analytics, Computer Science, Engineering, Statistics, Business, or a related field; Master's degree (MBA, MS, etc.) preferred. Experience & Skills - 8-10years of progressive analytics or data science experience, proven ability to lead analytics teams, translate business needs into technology solutions, and influence senior stakeholders through data driven storytelling. Other Requirements - English required; travel up to 10% primarily domestic; knowledge of advanced analytics, predictive modeling, and emerging technologies; familiarity with data governance, privacy, and regulatory requirements in a regulated industry. Required Skills 8-10 years of progressive experience in analytics, business intelligence, data science, or related technical roles. Strong expertise in analytics platforms, data visualization tools, and data management concepts. Proven ability to translate business needs into scalable analytics and technology solutions. Experience influencing senior stakeholders through data driven insights and storytelling. Strong strategic thinking, problem solving, and communication skills. Prior experience driving digital or analytics transformation initiatives. Preferred Skills Experience supporting commercial, medical device, or healthcare businesses. Knowledge of advanced analytics, predictive modeling, automation, and emerging technologies. Experience working with large, global data environments and cross regional teams. Familiarity with data governance, privacy, and regulatory requirements in a regulated industry. Agile Decision Making, Analytics Insights, Developing Others, Inclusive Leadership, Leadership, Organizational Project Management, Performance Measurement, Program Management, Project Management Methodology (PMM), Project Management Office (PMO), Project Management Tools, Project Reporting, Regulatory Compliance, Risk Management, Statement of Work (SOW), Team Management.

Position Overview Operational resilience is a mandatory requirement across EMEA. Regulators across EMEA have now set enforceable standards, with the focus shifting from framework building to evidence of compliance, testing, and third party oversight. In order to support this evolution, the Operational Risk and Resilience team are hiring a dedicated Resilience Manager who will be based in the London office. You will serve two key purposes: firstly, as a key liaison across local and global business functions on risk and resilience matters, and secondly, to provide core support for the execution of the operational risk and resilience frameworks in accordance with best practice guidance and regulatory requirements. The role will also include the identification and management of operational and resilience risks and issues, as well as the development of solutions and re engineering of processes to avoid future control and process weaknesses. You will be required to challenge and coordinate front to back business management, as well as collaboration with risk, support and control colleagues across the global firm. The role will require regular board and senior management engagement. Primary Responsibilities Operational Resilience Managing and maintaining the resilience policies and procedures, such as operational resilience policy, self assessment document, digital resilience strategy, ICT risk management framework. Enhancing the operational resilience programme in line with global regulations, which includes collection of key risk indicators and reporting to the Board. Undertake the annual refresh of the important business services, resource mapping, and the impact tolerance statements. Conduct scenario testing for the operational resilience important business services. Investigate BCP and technology related operational risk events, ensuring root cause analysis and control assessments, including deep dive reviews on significant and complex events. Identify vulnerabilities from the important business services mapping and scenario testing, raise issues and associated actions, notifying responsible owners and providing sufficient oversight to ensure the issue is managed to completion. Maintain and develop the BCP and resilience system, Fusion. Act as subject matter expert for all resilience matters, including upcoming regulatory changes. Undertake the review of FCA resilience regulatory changes. Run global resilience projects across all Neuberger entities. Provide resilience reporting to the EMEA risk and compliance committee, and relevant boards. Business Continuity Managing and maintaining the business continuity policy and procedures (including the business continuity plans), such as business continuity policy, business continuity executive group response plan. Implement a Business Impact Analysis (BIA) programme that meets all necessary regulatory requirements. Creation and maintenance of business continuity plans across locations and functions. Undertake and develop the business continuity testing programme and, where appropriate, the Neuberger Group. Coordinate and run the global and regional business continuity tabletop exercises, in conjunction with technology teams. Management of business continuity incidents, ensuring the appropriate response and communications are taken. Ensure all key stakeholders, including business continuity coordinators, are trained on their business continuity responsibilities. Coordinate and oversee the third party due diligence processes undertaken by the senior relationship managers, including the creation of bespoke questionnaires. ICT Risk Governance Oversight of the ICT risk framework, partnering with the first line IT risk function, including annual refresh of the critical and important functions (DORA). Chair of the ICT risk governance committee, providing input and challenge. Input into the DORA incident reporting and register of information process. Partner with the information security team to ensure effective cyber security resilience. Key Requirements / Qualifications University degree in a related and relevant subject is required. Demonstrative experience in an asset / investment management firm as a member of operational/IT risk, BCP, resilience or internal audit team (2 5 years minimum). Ability to develop strong relationships with key stakeholders and delegates across the organization. Attention to detail, ability to work to competing deadlines, and a solutions focused approach. Strong organisational, communication and time management skills are essential. Team player with strong work ethic and positive attitude. Excellent time management, organisational skills, and attention to detail. Strong oral and written communication skills. Strong project management skills. Ability to present to boards and senior management. Track record of working with senior staff. Ability to educate and influence. Applicants must be authorised and have the right to work in the country where the role is located without the need for current or future sponsorship. Neuberger is an equal opportunity employer. The firm and its affiliates do not discriminate in employment because of race, creed, national origin, religion, age, colour, sex, marital status, sexual orientation, gender identity, disability, citizenship status or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

Delivery Manager - JP Morgan Personal Investing LONDON, LONDON, United Kingdom Job Information Job Identification Job Category Project Management Business Unit Corporate Sector Posting Date 05/01/2026, 01:34 PM Locations 1 Cabot Square, London, E14 4QJ, GB Job Schedule Full time Job Shift Day Job Description Delivery Manager We're seeking a Delivery Manager who will lead complex, multi team programs within JP Morgan Personal Investing from strategy through to benefit realisation. You will own the delivery plan, orchestrate cross functional execution, and remove impediments. Beyond status and tracking, you will drive decisions, align stakeholders on outcomes, manage trade offs, and course correct rapidly to land scope, schedule, budget, and benefits. This is a hands on role for someone that wants to learn and operate quickly. Key responsibilities Outcome ownership and program leadership Translate business strategy into clear delivery outcomes, success measures, and incremental value milestones. Establish the integrated delivery plan and critical path; own execution to outcomes across multiple squads and vendors. Make and drive trade off decisions in partnership with Product/Tech/Business; ensure accountability and momentum. Execution management Run tight delivery cadences (standups, dependency meetings, PI planning, exec touchpoints) that surface issues early and resolve them fast. Proactively identify and deconflict cross team dependencies; upscale with data and recommended options. Remove impediments across technology, process, and organisational boundaries; secure resources and decisions quickly. Risk, issue, and change control Maintain a forward looking risk posture; implement leading indicators and trigger conditions for early intervention. Drive structured change control for scope/schedule/cost; quantify impacts and secure approvals. Implement recovery plans and stabilisation playbooks for at risk workstreams. Stakeholder alignment and communication Build a shared narrative for executives and teams; tailor updates to decision quality information. Facilitate design decisions and governance forums; document decisions, actions, and follow through to closure. Manage expectations with business owners; align on value, timelines, and readiness. Financial stewardship and benefit realisation Own forecasts, burn, and benefits tracking; drive variance remediation by adopting corrective action and validate post launch benefits. Delivery methods, tooling, and data quality Apply pragmatic delivery methods (Agile, hybrid, or staged) suited to the work and risk profile. Set and enforce data quality standards to ensure trustworthy reporting and decisioning. Partner with engineering for build readiness, release planning, non functional testing, and operational acceptance. Change management and readiness Coordinate end to end readiness: process changes, comms, training, and support models. Drive adoption metrics post go live; lead transition to steady state. Qualifications 7-10+ years leading complex, cross functional technology and business initiatives; proven delivery of multi team programs with significant integration and risk. Demonstrated ability to make data driven trade offs and land outcomes under ambiguity and time pressure. Strong command of Agile at scale and hybrid planning; experience with complex planning, dependency management, and release orchestration. Proficiency with Jira/Confluence a must, knowledge of other PPM platforms a plus. Demonstrated ability to embed AI tools into workflows a significant bonus. Excellent facilitation and executive communication skills; comfortable influencing at senior levels and across vendors. Solid financial management experience: forecasting, capitalisation, burn/variance analysis, benefits realisation. Sufficient technical fluency to partner effectively with architects and engineering leads on solution approach, risks, and cutover planning. What success looks like Predictable delivery of milestones on or ahead of plan, with transparent management of trade offs. Measurable benefit realisation against defined OKRs/benefits; accelerated time to value through incremental releases. Reduction in critical delivery risks and faster time to resolution of issues and dependencies. High stakeholder confidence reflected in clear, action oriented communications and decisive governance. Bias to action: Converts signals into decisions and progress. Systems thinking: Anticipates cross stream impacts; designs resilient plans. Negotiation and influence: Aligns diverse stakeholders and vendors behind a single plan of record. Analytical rigour: Uses metrics and leading indicators to steer delivery, not just report it. Equal Opportunity Employer We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

Qualcomm is looking for a senior staff engineer to join their RFA Design team in Cambridge. This role involves defining, modelling, and verifying radio system specifications, as well as collaborating with hardware teams to ensure design integrity. The ideal candidate will have a bachelor's degree in a relevant field along with substantial experience in hardware engineering, particularly in radio transceiver system design. The position offers a range of benefits including stock options and insurance plans.

Req ID: FEQ126R19 Location: London The Opportunity: Shaping The Future of Data & AI With Our Largest Customers Data & AI are the engine driving transformation across our customer base. We are seeking a strategic technical leader to collaborate with our most significant, complex enterprise customers to accelerate that transformation across the UK & Ireland. As a Lead Solutions Architect in the UKI Field Engineering practice, you will be an expert in driving organisational transformation through technology, data and AI. You will work with Databricks UKI leadership to identify and engage a select group of customers at the executive level to advise on and drive Databricks adoption to achieve their business objectives. You will demonstrate our builder culture to the highest standards. At Databricks, we believe in "show, not tell", and you will leverage the latest in Data & AI technologies to inspire customer CTOs, VPs and senior leaders to think bigger and go further in democratising Data & AI across their organisations. You will act as a peer leader for the Databricks UKI technical communities, demonstrating thought leadership, working to establish and maintain best practices and collaborating across our leadership teams to drive collective success and develop the next generation of solutions architecture talent. Why You'll Love This Role How You Will Make an Impact Trusted Advisory: You will build authentic partnerships with stakeholders-from developers to C-suite executives-helping them understand the vision of the Databricks Data Intelligence Platform. Strategic Planning: Partner closely with Account Executives & UKI Leadership to design engagement strategies that address the specific needs of our largest customers. Team Coaching: Act as a mentor for the wider practice, guiding them on how to approach complex customer scenarios and engage at an executive level with credibility. Ecosystem Integration: Solution complex engagements involving the broader cloud ecosystem (AWS, Azure, GCP) and third-party tools to ensure a seamless experience for the customer. Thought Leadership: Elevate your profile by leading executive engagement, creating customer-facing content, and speaking at industry events. What We Are Looking For Enterprise Architecture: Experience influencing technology change at a global-scale enterprise level, with a particular focus on Data & AI strategy and implementation. Commercial Awareness: Deep appreciation of customer and vendor commercial motivations and sales cycles. Market Familiarity: Understanding and experience of key Data & AI technology market players, including the major hyperscalers (AWS, Azure, GCP) and key ISVs. Builder Mentality: A bias towards "showing" rather than "telling", preferring to inspire stakeholders through built examples. Technical Expertise: Deep experience in core data & AI technologies, including languages (Python, SQL), frameworks (Apache Spark) and platforms (Databricks, etc). Collaboration: You can orchestrate diverse teams to achieve a common goal and explain complex tech to non-technical leaders. Travel: This role requires travel to customer sites in the UK and London offices (approx. 20-30%). We support flexible scheduling to help manage this travel alongside your personal life. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Our Borrowing Analytics Engineering Team: Our Mission in Borrowing is to enable people's financial goals through better borrowing. Our customers look to borrow money to enable them to achieve something in their lives - whether that's making a big life event affordable, buying something they need now without affecting their monthly budget, or getting by until payday. And we're looking to shape this mission by building products that our customers love, whilst scaling those top revenue lines across the business safely. We're looking for a Lead Analytics Engineer within our borrowing team to help build world class service for the bank of the future. You will play a critical role in overseeing our foundational data platforms, identifying and driving opportunities to enhance our current capabilities. Your expertise will be pivotal in allowing us to scale into new global markets, build new products and shape the future of how we serve our customers. We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. Serving as a data architect for Monzo's Borrowing data, contributing to the design and scalability of data models that measure the performance of our product suite. Develop robust data models downstream of backend services, primarily in BigQuery, to support internal reporting, machine learning, large language models, as well as financial and regulatory use cases. Be a key voice in shaping and maintaining best practices for our Data Warehouse, including source data payload design, logical data modelling, implementation, metadata, and testing standards. Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices. Contribute to prioritising data governance issues, ensuring a comprehensive approach to data integrity and compliance. Being a key technical leader who's able to champion central platform initiatives that aim to elevate the data standards across Borrowing and beyond. We'd love to hear from you : You have a strong passion for data modelling, ETL projects, and Big Data. You enjoy working with data streams from various services, such as financial, transactional, and operational systems. SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts. You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others. You have experience building robust and reliable data sets that require a high level of control. You enjoy working with cross functional fast moving teams and are passionate about serving our customers. You are able to think strategically about credit products and how our underlying data models will unlock more insights for our team and more value for our customers. You are excited about enabling other data scientists, analytics engineers and credit analysts by sharing your expertise on data architecture. You have the ability to shape big, ambiguous data domains and get the required buy-in from key leaders across the business. You are able to shape and manage the technical roadmap of an entire domain and execute against the project plan's deliverables. You are leading through the contributions of others by effectively leveraging the multiplier effect to create exponential value across Borrowing and Analytics Engineering. Excel in cross-functional stakeholder communication (back-end engineers, product managers, and credit analysts), while also effectively engaging with senior technical leaders. The interview process: Our interview process involves 4 main stages: Technical task 3 x 1 hours sessions (final interview) Our average process takes around 3-4 weeks but we will always work around your availability. This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences. And much more, see our full list of benefits here

A dynamic financial services platform in the UK seeks a Senior Engineer to build and innovate backend systems for stablecoin-powered debit cards. You will define core infrastructure, collaborate with customers in integrating systems, and contribute to impactful financial solutions worldwide. The role offers meaningful equity, competitive salary, and unique experiences, with a focus on creating change in economically challenged areas.