1637 jobs found

Senior Software Developer (Java/C++) Active SC Clearance required Salary: Up to £78,000 + Excellent Benefits Location: Gloustershire The Opportunity An exciting opportunity has arisen for an experienced Software Developer to join a highly skilled engineering team delivering complex, high-performance software solutions click apply for full job details

Due to the nature of their work, candidates must hold a valid 'UKIC or enhanced SC' security clearance at the time of application to be considered for this role. We are seeking an experienced Software Developer to join our dynamic and innovative team. In this role, you will be responsible for designing, developing, and maintaining high-performance backend software solutions using Java and C++ withi click apply for full job details

Numerical method development for new software products This is an exciting opportunity to use your skills in numerical analysis and numerical methods to develop engineering fluid flow simulation software used widely in industry. With work underway on the next major revision of this software and many new features on the roadmap, there will be plenty of work to keep you engaged click apply for full job details

Role: Senior Qt Developer Manager: Lead Development Manager Location: Hybrid Work Pattern: Monday to Friday, 9-5 working hours Role Overview We are looking for a highly skilled Senior Qt Developer to join us with our Qt framework software development client working on a range of innovative embedded HMI project click apply for full job details

Siemens Software is seeking a visionary Director for Global Service Delivery to lead end-to-end engineering support across Americas, EMEA and APAC. The role drives service quality, regional consistency, and a Follow-the-Sun operating model while shaping transformation of the SD function. You will guide three Regional SD Leads, manage budgets/headcount, and partner with GTI GOE and Architecture to elevate developer productivity and customer satisfaction.

Selection changes the language of the page/content Engineering Manager, ML Infrastructure, London London, England, United Kingdom Software and Services Apple's cloud AI inference platform is growing quickly, and so is the organisation that builds it. We have a complex inference stack, a rapidly changing generative-AI landscape, and more responsibility than our current teams can hold - so we are looking for engineering managers to take ownership of components of that stack and lead the teams that build them. This role is based in London. Description Private Cloud Compute is the system that lets Apple Intelligence reach beyond the device without compromising a user's privacy: generative AI inference running in Apple's cloud, with verifiable privacy guarantees no other large-scale AI platform offers. It is the server software behind Apple Intelligence, and it is the critical function this organisation exists to deliver.The stack is deep. On-device client frameworks hand requests to a cloud service that attests, routes, and orchestrates them; an inference engine serves them; and model runtimes execute across heterogeneous hardware platforms, from Apple silicon to industry-standard accelerators, each with different performance characteristics and constraints. Cutting across all of it are the problems that decide whether the platform is fast, affordable, and operable: context and cache management, model asset management and lifecycle, throughput and latency, observability, and the developer and test infrastructure that everything else is built on.You would own set of components in this stack. The generative-AI landscape is a rapidly evolving and we are looking for managers with an agile mindset that are energized by change. You can hold a clear technical direction while the ground shifts and have a strong desire to help define our roadmap.Day to day you will hire, grow, and lead a team of engineers; own delivery against a roadmap you help set; lead design reviews and make architectural calls yourself when your team needs a decision; run a healthy on-call and incident practice; and partner across time zones with ML research, hardware and platform teams, security and privacy, SRE, and the product teams that depend on you. You will work with teams in London, Cupertino, and Seattle whose work spans low-level operating systems and accelerator runtimes through data-centre services, network protocols, and public APIs.You should be technically credible - you do not need to be the strongest individual contributor on the team, but you must be able to hold your own in a design review, read the code when it matters, and tell a good argument from a confident one. You should be able to absorb shifting priorities on behalf of your team rather than passing them along. And you should care about the privacy promise this platform makes to users; much of what makes the engineering here hard, and interesting, is that the usual shortcuts are not available to us. Responsibilities Build, coach, and retain a high-performing, inclusive team: hiring, onboarding, growth, feedback, and performance management. Take ownership of one or more areas of the inference stack, and be accountable for their delivery, quality, and technical direction. Set and defend a technical roadmap that stays credible as priorities and platforms change, balancing near-term delivery against longer-term investment. Partner across engineering, research, hardware, security and privacy, SRE, and product to deliver outcomes that span team boundaries. Hold a rigorous engineering bar: honest measurement, reproducible results, operational readiness, incident review, and documentation. Represent your team's work to senior leadership, and advocate for the resources and direction it needs. Develop technical leads within your team, delegating real architectural ownership rather than retaining it. Ensure the team applies privacy-by-design and secure-by-design principles throughout, particularly around what may and may not be observed or logged in a system handling user content. Minimum Qualifications Experience managing software engineers, including hiring, coaching, feedback, and performance management. A strong software engineering background in systems, backend, distributed systems, or platform work, with the ability to engage deeply and specifically in design trade-offs. Demonstrated ownership of delivery on an infrastructure or platform team: roadmap, sequencing, cross-team dependencies, and shipped results. An agile mindset and a track record of operating effectively in ambiguity - able to absorb rapidly shifting priorities without losing execution discipline or the team's trust. Excellent written communication, and effective working habits across geographies and time zones. UK/US collaboration particularly relevant. A genuine security and privacy mindset for systems handling sensitive user content. Preferred Qualifications Any strong combination of the following is interesting to us - we do not expect all of them: Experience with LLM inference or model serving at scale: batching and scheduling, KV-cache reuse, paged attention, prefix caching, disaggregated serving, speculative decoding, quantisation, or model parallelism. Experience with GPU or custom-accelerator performance work, and with the internals of an ML runtime or framework. Experience leading teams that own a platform other engineers build on, including API and compatibility stewardship across versions and hardware generations. Familiarity with production operations for latency-sensitive services: SLOs and error budgets, observability, capacity planning, canary and rollback discipline. Background in developer experience and build or test infrastructure, and a view on how to reduce cycle time without lowering quality. Working knowledge of Swift; systems-language experience (C++, Rust, Go) and Python tooling experience are all valuable here. Experience with privacy-preserving, security-sensitive, or attested systems, and with reasoning rigorously about what may be logged or measured. Experience growing a team from a small senior core, and developing engineers into technical leadership. At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. Learn more At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple's workplace

Director, Global Service Delivery (f/m/d) - EMEA Based We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation- helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential. The Director, Global Service Delivery (SD) is a senior leadership role within Global Engineering Services (GES), part of Siemens' Global Technologies & Infrastructure (GTI) organization. This role owns the end-to-end delivery of engineering support services across three global regions - Americas, EMEA, and APAC - serving approximately 17,000 software engineers worldwide. The Director is accountable for service quality, regional consistency, people leadership, and the ongoing transformation of the SD function. KEY RESPONSIBILITIES Strategic Leadership Define and execute the global Service Delivery strategy aligned with GES and GTI priorities. Set the vision, operating model (Follow-the-Sun), and performance standards for SD across all three regions. Lead the annual planning cycle for SD: headcount, budget, initiatives, and OKRs. Represent the SD function at GES leadership reviews, executive briefings, and cross-functional forums. Drive continuous improvement in service delivery maturity, tooling, and process standardization. Operational Excellence Own the end-to-end SLO/SLA framework for the SD function globally; ensure targets are met and reported. Partner with the Global Operations Excellence (GOE) team to enforce standards, monitoring, and governance. Ensure all regions are aligned on tooling, processes, CMDB accuracy, and asset management practices. Oversee the successful delivery of global programmes (e.g., PCD migration, device refresh, CMDB clean-up etc). Identify operational risks and blockers across regions; elevate and resolve proactively. People Leadership Directly lead three Regional SD Leads (Americas, EMEA, APAC) and maintain accountability for the full SD organization. Build a high-performing, engaged, and geographically distributed team; develop regional leaders and successors. Drive talent reviews, performance management, and calibration across the SD function. Champion a culture of accountability, customer focus, and continuous improvement. Stakeholder & Cross-Functional Engagement Serve as the primary SD point of contact for peer GTI functions. Build and maintain strong relationships with key business stakeholders. Collaborate with regional SD leads and managers to address customer escalations and service issues. Provide regular operational reporting to the Senior Director, GES and GTI leadership. Engineering Segments Engagement Own the customer relationship between GES and engineering segments globally; serve as the primary point of contact for segment leads regarding infrastructure, service quality, and engineering productivity. Establish and maintain a regular engagement cadence with segment representatives to understand development pipeline needs, CI/CD tooling requirements, and environment pain points. Proactively identify opportunities to improve developer productivity and engineering experience - including build performance, environment stability, tooling access, and onboarding friction. Collaborate with SD Leads, GOE, and Architecture & Standards teams to translate segment feedback into actionable service improvements and capacity planning inputs. Track and report on segments satisfaction, developer productivity trends, and GES contribution to engineering velocity - elevate where GES environment is a constraint on delivery. QUALIFICATIONS & EXPERIENCE Required Extensive relevant experience in infrastructure management, service delivery, or technology operations, with a significant portion of that time spent in senior leadership - managing global or multi-regional teams at scale. Proven track record leading large, geographically distributed teams across multiple countries and regions. Deep understanding of ITSM frameworks (ITIL) and IT governance practices (COBIT or equivalent). Strong experience managing budgets, headcount planning, and resource allocation at a global scale. Demonstrated ability to drive transformation programmes and change across complex organizations. Experience operating in a matrixed, multinational corporate environment. Excellent written and verbal communication skills in English; comfortable presenting to executive audiences. Sound understanding of asset management practices, including CMDB governance, hardware lifecycle management, and software asset inventory at enterprise scale. Demonstrable knowledge of data center operations and management, including RDC/colocation environments, capacity planning, and infrastructure governance. Working knowledge of server and storage technologies, including enterprise server platforms, SAN/NAS storage, and backup/recovery frameworks. Familiarity with vulnerability management processes, including risk prioritization, remediation tracking, and coordination with information security teams to ensure compliance. Familiarity with software development practices and the software development lifecycle (SDLC); ability to engage credibly with engineering and development teams on environment and tooling requirements. Working knowledge of CI/CD concepts and common pipeline patterns; exposure to CI/CD platforms, sufficient to understand engineering dependencies and environment requirements. Understanding of developer workflow tooling and environment needs - including source control, build systems, artifact management, and test infrastructure - as they relate to GES infrastructure provisioning and support. Preferred Background in software engineering, or large-scale enterprise Technology environments. Hands-on or oversight experience with virtualization technologies (VMware ESXi, OpenStack, or equivalent platforms). Experience with high-performance or grid computing environments - including job scheduling, compute cluster management, and distributed compute platforms. Understanding of enterprise networking concepts, sufficient to oversee network-dependent service delivery. Experience working with or transitioning to cloud-managed or hybrid infrastructure models. Prior experience in a software engineering, DevOps, or platform engineering role - or significant direct collaboration with software development teams; comfort discussing CI/CD pipelines, build performance, and developer environment requirements. EDUCATION Degree - Required Bachelor's degree in Computer Science, Computer Engineering, Information Technology, Software Engineering, or a closely related technical discipline. Degrees in other disciplines will be considered where accompanied by strong relevant experience. Advanced Education - Preferred Master's degree in Computer Science, Information Technology, Engineering Management, or an MBA with a technology focus. CERTIFICATIONS IT Service Management & Governance - Preferred ITIL v4 Foundation - required; Managing Professional or Strategic Leader tracks highly valued. COBIT 2019 Foundation or Practitioner - IT governance and control framework knowledge. ISO 27001 Lead Implementer or Auditor - advantageous for security governance oversight. Project & Programme Management - Advantageous PMP (Project Management Professional) - PMI. PRINCE2 Practitioner or PRINCE2 Agile. LOCATION & TRAVEL This is a global role with flexibility on base location. Regular international travel to regional sites and team face-to-face meetings is expected. REPORTING STRUCTURE Reports to: Senior Director, Global Engineering Services (GES) Direct reports: Regional SD Leads - Americas, EMEA, APAC Functional scope: Full global SD organization Why us? A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we Work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow! The primary locations for this opportunity are Germany, UK and Ireland. The applicable salary ranges for these locations are: 117,600 Min - 205,900 Max EUR (Germany) 100,300 Min - 175,400 Max GBP (UK) 109,400 Min - 196,700 Max EUR (Ireland) This role is eligible to earn incentive compensation. The actual compensation offered is based on the successful candidate's job related skills, experience, and relevant education/training. Siemens offers health and wellness benefits to employees The position is available across multiple EMEA locations; we welcome qualified candidates from locations not mentioned in the description to apply. Siemens Software. Transform the Everyday

At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills And Competencies Typically 8-10 years of product management experience, including experience in financial services, financial technology, or risk management software Proven experience owning products end-to-end from discovery and specification through launch and post-launch iteration, with the ability to independently drive a product area Deep understanding of generative artificial intelligence, large language models, agentic artificial intelligence, and application programming interface or protocol-based products; direct exposure to Model Context Protocol or comparable agent-tooling protocols preferred Strong grasp of agile methodologies with experience leading ceremonies, managing backlogs, improving ways of working through retrospectives, and driving outcomes through key performance indicator reviews Strong market analysis and competitive intelligence capabilities with the ability to identify opportunities and influence product roadmap direction Technical fluency to participate in architecture, infrastructure, authentication, security, and application programming interface design discussions while effectively evaluating trade-offs without requiring hands on coding Excellent stakeholder management, communication, and cross functional collaboration skills across engineering, design, data, business, and partner teams Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization Education Bachelor's degree required Relevant Master's degree preferred depending on the nature of the product and business needs Responsibilities Lead the strategy, development, and delivery of Moody's Model Context Protocol products that enable agentic and artificial intelligence-native workflows. Own the product vision, roadmap, and backlog for the Model Context Protocol server and application portfolio, ensuring a coherent, extensible, and well documented platform experience Define, prioritize, and deliver product requirements, user stories, and acceptance criteria while balancing new capabilities, platform stability, governance requirements, and technical debt Partner with engineering, design, data, security, and strategy teams to translate customer and business needs into actionable product milestones and releases Conduct customer, partner, developer, and market research to identify opportunities, validate concepts, and ensure the platform remains competitive within the evolving artificial intelligence ecosystem Lead the squad operating rhythm through planning, prioritization, retrospectives, and continuous improvement activities that drive delivery consistency and accountability Define and monitor product and platform key performance indicators including adoption, usage, reliability, and developer satisfaction to measure impact and inform roadmap decisions Manage delivery risks, dependencies, and release readiness while ensuring appropriate controls, security reviews, and quality standards are maintained across the product lifecycle Build strong relationships with business units, client facing teams, and technology partners to identify new application opportunities and support internal and external developer success About The Team The Digital Insights product organization is responsible for developing innovative data, analytics, and artificial intelligence solutions that help clients make informed decisions in an increasingly complex financial landscape. By joining the team, you will help shape the future of agentic artificial intelligence experiences and intelligent workflows, working alongside product, engineering, design, and data experts to deliver scalable solutions that unlock the value of Moody's intelligence for clients, partners, and internal teams worldwide. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

TS Imagine, a global leader in trading and risk management SaaS-based software, is seeking a Quantitative Data Developer to join our Models and Quantitative Data team in our London office! As a Quantitative Data Developer, you will play a pivotal role in discovering, designing, developing, and maintaining data solutions that support the valuation of financial positions and the construction of quantitative datasets (e.g., curves, volatility cubes, correlation matrices). You will also contribute to the development of robust data-driven systems for market risk calculations (e.g., VaR, greeks) in real-time across all asset classes. Our cutting-edge risk and data solutions are trusted by some of the world's most prestigious financial institutions, including global investment banks and multi-strategy hedge funds. Who will love this job A scientist - you are comfortable with numerical methods, linear algebra, partial differential equations, probability theory and statistics An engineer - who has a passion for computer science, system performance, clean code and architecture with an owner mentality A data enthusiast - You enjoy working with large datasets, transforming raw data into meaningful inputs, and solving complex problems with a methodical approach A doer - who is enthusiastic about new challenges, accepts a broad spectrum of responsibilities, and works hard to produce a high-quality result A learner - who is not afraid of being outside the comfort zone and is ready to dive into some of the most complicated problems in finance An excellent teammate - who has a combination of technical and personal qualities to thrive in a cutting-edge software development environment What you'll do Collaborate with Quant Developers on major projects to optimize data pipelines and analytics infrastructure for maximum performance and reliability. Design and develop robust data solutions to efficiently process and deliver inputs for pricing models and market risk calculations across various asset classes, including equity, credit, FX, fixed income, commodities, crypto, and their derivatives. Develop and manage high-performance, scalable data applications and tools using Python, SQL, and Snowflake to analyze, transform, and ensure the accuracy of large-scale financial datasets for efficient model input construction. Document data methodologies comprehensively to provide transparency and support for both internal and external validation processes. What you should have M.S. or PhD in mathematics, physical sciences, or engineering preferred Demonstrated expertise in quantitative and programming skills, with 3-5 years of experience in large-scale Python development, SQL programming, and working on data-intensive products. Experience with other programming languages (C++, Java) Understanding of financial derivatives, market conventions and their implementation is a must Proficiency with financial data structures like yield curves (OIS, Libor, cross-currency), inflation curves, volatility surfaces, and interest rate volatility cubes (live/intraday data experience preferred) Experience in developing risk management tools such as VaR, Monte Carlo, scenario analysis and P&L is preferred Why TS Imagine / Benefits Please note: This role requires applicants to be based in London, as it is anin-officeposition.Remote work is not possible. Vacation and Personal days Annual bonus and salary review Training Budget $1,500 Health, dental, life assurance, and eye care vouchers Salary sacrifice pension scheme About TS Imagine Created out of the combination of two best-in-class SaaS platforms, TradingScreen and Imagine Software, TS Imagine delivers integrated trading, portfolio and real-time risk solutions for capital markets. The platform is uniquely positioned to streamline complex and time-consuming workflows across front, middle, and back office functions. TS Imagine has close to 400 employees in 10 offices worldwide, serving approximately 500 global buy side and sell side institutions across North and South America, EMEA, and Asia Pacific including hedge funds, traditional asset managers, pension funds, mutual funds, and financial institutions. We challenge our employees every day to think creatively and innovate across silos and across platforms.

hackajob is partnering directly with Sage to hire for this role. We are looking for a Senior Backend Developer to join our HCM Localisation engineering team and help evolve a large-scale, cloud-based enterprise product. This role is focused on building and maintaining scalable backend services supporting complex product workflows, integrations, performance improvements, and ongoing platform moderni click apply for full job details

Kick-start your career with an exciting and fast-paced graduate development programme from the UK's largest B2B supplier of electrical equipment. Enjoy excellent rewards, hands on learning and a clear pathway into sales leadership and business management. What's on Offer: £31,000 - £33,000 starting salary Two pay rises in your first year Profit share bonus + up to £1,800 tax-free training bonuses 25 days' holiday + matched employer pension contributions Fast progression into B2B sales and management Industry-leading, accredited training and mentorship Highly sociable company culture with opportunities to network with clients at events such as, golf days, football matches and motorsport About the Company This market-leading group is committed to developing future leaders. Their long-running graduate programme is designed for ambitious, commercially-focused graduates who want to learn how a successful business operates and progress into high-earning sales and management roles. The Role As a Graduate Trainee, you'll learn the business from the ground up, build strong customer relationships and progress into a field sales and business management position. Graduate Training Programme: First 6 Months Develop core knowledge of how the business operates - sales, warehouse, logistics, supply chain, administration, IT software, and marketing. Build a deep understanding of the product range and the electrical wholesale industry. Start building relationships, winning deals and advising customers face-to-face over the trade counter, e.g. electricians, contractors and tradespeople. Begin your formal sales training course, attend Head Office training and network with other Graduate Trainees. Complete workbook assessments and earn training bonuses for your progress. 6-12 Months Move into internal sales/account management, engaging with B2B customers by phone, e.g. construction companies, local government authorities, housing developers and hotels. Learn business development strategies and how to target and win new key accounts. 12 Months and Beyond Progress to a varied B2B field sales management role with higher earning potential. Travel locally in your company car to meet clients, socialize, discuss projects and build strong relationships. Work towards running your own business within the group, gaining experience in staff management, purchasing and profit and loss. Managers enjoy significant autonomy thanks to the company's decentralised structure. You must have: A full UK driving licence The ability to start a full-time role immediately If you're driven, confident and ready to take on responsibility, this programme gives you everything you need to build a successful career in sales and management.