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Join a high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. As an Applied AI / ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI powered products and services and increasing opportunity for re use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. Job responsibilities Build robust Data Science capabilities which can be scaled across multiple business use cases Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems Research and analyse data sets using a variety of statistical and machine learning techniques Communicate AI capabilities and results to both technical and non-technical audiences Document approaches taken, techniques used and processes followed to comply with industry regulation Collaborate closely with cloud and SRE teams while taking a leading role in the design and delivery of the production architectures for our solutions. Act as an individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate's experience. Required qualifications, capabilities, and skills Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Specialism or well-researched interest in NLP Broad knowledge of MLOps tooling - for versioning, reproducibility, observability etc. Experience monitoring, maintaining, enhancing existing models over an extended time period Extensive experience with pytorch and related data science python libraries (e.g. pandas) Experience of containerising applications or models for deployment (Docker) Experience with one of the major public cloud providers (Azure, AWS, GCP) Ability to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders. Preferred qualifications, capabilities, and skills Experience designing/ implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray) Experience of big data technologies Have constructed batch and streaming microservices exposed as REST/gRPC endpoints Experience with container orchestration tools (e.g. Kubernetes, Helm) Knowledge of open source datasets and benchmarks in NLP Hands on experience in implementing distributed/multi threaded/scalable applications Track record of developing, deploying business critical machine learning models

the company is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities Designing and implementing a high-frequency trading platform for cryptocurrency markets, which includes collecting quotes and trades from and disseminating orders to exchanges around the world Optimizing this platform by using network and systems programming, as well as other advanced techniques to minimize latency Analyzing system throughput and latency performance and building performance-tracking tools Developing systems that provide easy access to historical market data and trading simulations Qualifications A degree in computer science or a related field At least 5-7 years of experience in a software engineering role A strong background in data structures, algorithms, and object-oriented programming in C++ Brilliant problem-solving abilities The ability to manage multiple tasks in a fast-paced environment Strong communication skills Good understanding of Linux operating system and Networking (TCP/IP and UDP) is a plus Knowledge of Python and shell scripts is a plus Familiarity with cryptocurrency markets, exchange APIs (WebSocket/HTTP), and cloud technologies is a significant plus Individuals in this role will have a range of experience and will have the opportunity to cover a broad spectrum of hands on development projects; the right person could range from a mid-level engineer that is looking to start their career at the company, to an experienced professional that is looking to make significant contributions to our global trading platform. Experience in financial and crypto markets is a plus, but not required. Benefits Tower's headquarters are in the historic Equitable Building, right in the heart of NYC's Financial District and our impact is global, with over a dozen offices around the world. At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive - without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win. Our benefits include: Generous paid time off policies Savings plans and other financial wellness tools available in each region Hybrid working opportunities Free breakfast, lunch, and snacks daily In office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more) Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more) Volunteer opportunities and charitable giving Social events, happy hours, treats, and celebrations throughout the year Workshops and continuous learning opportunities At Tower, you'll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work - together. the company is an equal opportunity employer.

About Distyl AI Distyl is an applied AI technology company partnering with the world's most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations. We research and deploy technologies that power AI-native operations - both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission critical workflows. As a result, Distyl's technologies affect some of the world's largest operations - from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys. Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business. What We're Looking For We're opening an office in London, UK and looking for AI Engineersto design and deploy production grade AI systems powered by LLMs. At Distyl, AI Engineers work directly with Fortune 500 companies to transform complex workflows using cutting edge AI. You'll build and ship real world AI applications - from intelligent agents to full stack AI products - and see them operate at scale in mission critical environments. This role is highly hands on. You'll collaborate closely with customers, define system architectures, and build reliable, high impact AI systems from prototype to production. Engineers at Distyl also help shape technical direction across major customer engagements, guiding enterprise teams through AI adoption and deployment. Key Responsibilities Build Production AI Systems: Design, develop, and deploy robust AI applications using LLMs, including prompt engineering, agent workflows, tool use, and full stack AI products Work Directly with Customers: Partner closely with enterprise stakeholders to understand complex problems and translate them into impactful AI solutions Lead System Architecture: Design scalable architectures for production AI systems, balancing performance, reliability, cost, and maintainability Develop Our Internal Platform: Contribute to Distillery, our internal LLM application platform, by building reusable infrastructure, tools, and workflows used across customer deployments Evaluate AI Systems Rigorously: Develop evaluation frameworks that measure model performance across accuracy, latency, cost, reliability, and safety Ship Production-Grade Systems: Ensure systems meet high standards for observability, reliability, security, and maintainability Raise the Engineering Bar: Improve development workflows, evaluation practices, and deployment strategies as our AI platform continues to evolve Who You Are 3+ years of professional software engineering experience Strong proficiency in Python or TypeScript Experience building and deploying LLM powered applications or AI agents in production Experience with modern LLM tooling such as LangChain, LlamaIndex, Guardrails, MCP, or agent frameworks Experience implementing RAG pipelines, tool use, or multi step AI workflows Strong understanding of AI system evaluation, debugging, and observability Experience building reliable production systems with modern DevOps practices Experience deploying AI systems in enterprise environments is a plus Experience working across cloud platforms (AWS, GCP, or Azure) is a plus Experience with agent architectures and long horizon task execution is a plus Familiarity with responsible AI practices, including auditability and governance is a plus What We Offer Competitive salary, meaningful equity, and a comprehensive benefits package Workplace Pension Scheme with employer contributions Private Medical Insurance (PMI) offered Flexible Time Off + Holidays Lunch provided on office days Access to state of the art models, generous usage of modern AI tools, and real world business problems Ownership of high impact projects across top enterprises A mission driven, fast moving culture that prizes curiosity, pragmatism, and excellence

Are you passionate about transforming how developers build, deploy and operate software? The company is looking for a Developer Experience & Platform Engineering Solution Architect to join our growing Cloud & Apps Practice, helping some of the UK's largest public and private sector organisations modernise software delivery through Platform Engineering, Internal Developer Platforms (IDPs), DevOps and Developer Experience (DevEx) best practices. As a senior member of our Cloud & Apps Practice, you'll work at the intersection of technology strategy, architecture and delivery, partnering with customers to design and implement modern engineering platforms that improve developer productivity, accelerate delivery and enhance operational resilience. What you'll do Lead customer engagements focused on Developer Experience, Platform Engineering and enterprise software delivery transformation Design and architect Internal Developer Platforms (IDPs), CI/CD pipelines and cloud-native engineering platforms at scale Facilitate workshops with engineering leaders, product teams and platform stakeholders to define target architectures, operating models and delivery roadmaps Translate complex business and technical challenges into clear, implementable platform and DevEx solutions Provide end-to-end technical leadership across pre-sales and delivery engagements, from discovery through to implementation assurance Support sales teams with opportunity shaping, bid responses, solution design and commercial proposal development Define reusable patterns, reference architectures and engineering standards across the Cloud & Apps Practice Research and experiment with emerging tools, technologies and practices to evolve our Platform Engineering and DevEx offerings Lead and mentor consultants and architects, ensuring high-quality delivery across multiple customer engagements Ensure solution quality through design assurance, technical governance and risk identification across multi-technology environments What you'll bring Platform Engineering and Internal Developer Platforms (IDPs) Developer Experience (DevEx) and DevOps transformation Kubernetes (AKS, EKS, OpenShift) CI/CD tooling including GitLab, GitHub Actions, Jenkins or Harness Infrastructure as Code (Terraform or equivalent) Backstage or similar developer portal technologies Observability, monitoring and developer feedback platforms Secrets management and identity solutions such as HashiCorp Vault Progressive delivery, release orchestration and modern deployment practices You'll be comfortable engaging with senior stakeholders, leading technical teams and translating business challenges into practical, scalable engineering solutions

The Subscriptions mission helps people discover the right Spotify experience for them and supports the entire journey from free to paid. Our teams build products and services that make it easier for listeners around the world to understand the value of Spotify Premium while enabling sustainable growth for the business. The Markets & Subscriptions team oversees the entire user journey on Spotify and ensures we engage with people in innovative ways, every step of the way. Our team grows Spotify's audience by finding future listeners around the world and delivering the right value to them, at the right time. With research, product development, product design, engineering, and marketing all collaborating in one organization, we're able to quickly create meaningful features and services for millions of people around the world, resulting in joyful, long-lasting relationships with Spotify. We are looking for a Senior Backend Engineer to join our cross functional team of data scientists and mobile, web, and backend engineers to build the services that power Spotify's free-to-paid experiences. What You'll Do Collaborate with a cross-functional engineering team to build and evolve Spotify's subscription conversion experiences. Design and develop scalable backend services and APIs using Java, gRPC, and GCP. Partner with teams across the Subscriptions mission to support new products, plans, and global launches. Build resilient backend systems that support millions of users across web and mobile. Work closely with product managers and engineers to deliver technical solutions that solve meaningful customer and business problems. Lead technical initiatives while mentoring teammates and raising engineering quality across the team. Champion engineering best practices, operational excellence, and continuous improvement. Who You Are You thrive in collaborative environments and enjoy solving complex technical problems with others. You have 5+ years of experience building backend systems at scale. You have experience with Java, gRPC, and Google Cloud Platform (GCP). You know how to design APIs and backend services consumed by multiple client platforms. You care about writing maintainable, high-quality, production-ready software. You have experience working with internal stakeholders to build reusable platforms and services. Experience with subscription, conversion, commerce, or merchandising systems is a plus. Where You'll Be This role is based in London, England or Stockholm, Sweden. We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

At the company's Oscar-winning Technology team, innovation is at the heart of what we do, whether this be developing new techniques, new ideas or creative new ways to tell our clients' stories. Underpinning all of this is a long tradition of research, technology and development - from engineering our bespoke software solutions to gaining early access to bleeding-edge technology and forging vibrant partnerships with leading academic and scientific institutions. the company combines talent and technology to bring life to everything we create. Driven by creativity and inspired by the future, we set out every day to reframe the possible. About the Role This is a new, hands-on role within our team. You'll play a vital part in building the future of our cloud-first and machine learning strategies, writing the core software and automation that drives them. In this role, you will be actively developing high-availability automation workflows and building resilient big data pipelines that scale compute across the business. You will provide cloud and systems support for developers building complex agentic applications, while driving DevOps best practices to ensure our cloud services are built for the future. You'll drive the evolution of our cloud infrastructure by designing and implementing automation solutions that scale across the organisation. Your work will span cloud-native practices, machine learning infrastructure, and intelligent systems that keep our environment secure, resilient, and cost-effective. What you'll do: Build highly available automation workflows and orchestrators that enable distributed builds, cross-platform compute scaling, and deployment of AI agents and data-heavy models Design and implement event-driven automation and self-healing cloud systems that proactively detect, diagnose, and remediate infrastructure anomalies Architect robust cloud security frameworks, identity management, and automated governance baselines across our global footprint Design and optimise big data infrastructure for handling large metadata datasets and media assets, whilst identifying opportunities to reduce infrastructure spend without compromising performance Essential Skills: Experience designing high-availability, multi-environment cloud infrastructure using IaC (ideally Terraform) and container orchestration Proven track record in the design and management of cloud-based data systems, such as Snowflake or BigQuery A strong software background (ideally Python) with a proven track record of architecting scalable services and APIs Ability to build, scale, and secure distributed automation pipelines (like GitLab CI) focusing on performance, caching, and testing frameworks Experience supporting engineering teams, championing DevSecOps best practices, and collaborating with tech leadership Strong communication skills, with the ability to bridge the gap between infrastructure engineering and development team workflows Nice-to-have Skills: Experience designing setups that span cloud providers and local physical servers Knowledge of virtualisation of service applications Advanced monitoring experience using tools such as Datadog, Prometheus, or ELK. A professional-level cloud certification Production experience managing complex Kubernetes clusters and high-scale Docker environments. Experience using advanced data platform features like vector embeddings, clustering, and analytics to enrich large-scale datasets Accessibility Statement Our London studio is fully accessible, with step free entry, accessible toilets on all floors, and quiet spaces available. We are committed to supporting disabled colleagues and providing an inclusive workplace for everyone.

MediaTek Research Lab Inc. is looking for a Sr. Staff Engineer specializing in GPU compiler development. The role focuses on defining GPU compiler software architecture and implementing optimizations. You will collaborate with hardware and driver teams to enhance performance and develop new API features. The ideal candidate has a BS, MS, or PhD in a relevant field and over 6 years of experience in product compiler development, with strong skills in C/C++ programming and compiler optimization techniques.

JOB DESCRIPTION As a Lead Software Engineer for AI - Vice President at JPMorgan Chase in Risk Technology, you will lead a specialized technical area, driving impact across teams, technologies, and projects. You will leverage your expertise in software engineering, multi agent system design, data science, and NLQ to deliver complex, high impact initiatives. You will mentor and guide a team of engineers, foster best practices in AI engineering, and partner with data science, product, and business teams to deliver end to end solutions that drive value for the Risk business. Job Responsibilities Lead the deployment and scaling of advanced generative AI and agentic AI solutions for the Risk business, with a focus on natural language querying of structured and unstructured data sources. Design and execute enterprise wide, reusable AI frameworks and core infrastructure to accelerate AI solution development, including NLQ capabilities for diverse data types. Develop multi agent systems for orchestration, agent to agent communication, memory, telemetry, guardrails, and NLQ driven data retrieval and processing. Guide research on context and prompt engineering techniques to improve prompt based model performance and NLQ accuracy, utilizing libraries such as LangGraph. Develop and maintain tools and frameworks for prompt based agent evaluation, monitoring, and optimization at enterprise scale, with emphasis on NLQ workflows and orchestration. Build and maintain data pipelines and processing workflows for scalable, efficient consumption and querying of structured and unstructured data via natural language interfaces. Write secure, high quality production code and conduct code reviews. Partner with Data Science, Product, and Business teams to identify requirements and develop NLQ enabled solutions. Communicate technical concepts and results to both technical and non technical stakeholders, including senior leadership. Provide technical leadership, mentorship, and guidance to junior engineers, promoting a culture of excellence and continuous learning. Required Qualifications, Capabilities, And Skills Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. Experience in data science and natural language querying, including experience deploying end to end pipelines on AWS. Strong proficiency in Python. Hands on experience in system design, application development, testing, and operational stability. Experience using LangGraph for multi agent orchestration and NLQ integration. Experience with AWS and infrastructure as code tools such as Terraform. Preferred Qualifications, Capabilities, And Skills Strategic thinker with the ability to drive technical vision for business impact. Experience with agentic telemetry, evaluation services, and orchestration of NLQ workflows. Demonstrated leadership working with engineers, data scientists, and AI practitioners. Familiarity with MLOps practices and AI pipelines. Hands on experience building and maintaining user interfaces for NLQ and data exploration. Equal Employment Opportunity Statement We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Barlowe LLP in London is seeking a skilled engineer to develop platforms that drive high-impact research. You will work on projects that utilize modern AI technologies, transforming how teams collaborate. Key responsibilities include building scalable systems and collaborating with various teams. The ideal candidate should have a strong software engineering background and experience with LLM-powered systems. Competitive compensation and numerous benefits are offered, including 35 days of annual leave.

Senior Embedded Architect ManagerApplylocations: UK, Remote: UK, Cambridge: UK, Bristol: UK, Belfast: UK, Readingtime type: Full timeposted on: Posted 10 Days Agojob requisition id: JRNVIDIA is seeking a technical leader interested in defining, crafting, implementing, and guiding the implementation of security research, architecture, implementation, and design for next-generation NVIDIA Networking products. You'll be expected to take a strong hands-on role, working with diverse teams across NVIDIA and with external partners to meet security requirements for our state-of-the-art network products.NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company". We are looking to grow our teams with the smartest people in the world. If you're creative and autonomous, we want to hear from you! What you'll be doing: Research, design, develop and implement architecture solutions (Hardware and software) meeting internal and external security requirements and standards. Apply innovative hardware security primitives to enable next generation secure software extensions supported by hardware. Collaborate with partners on the implementation of open-source software. Collaborate across the company to guide the direction of Its (USB, I2C, I3C, UART, PCI) working with hardware, software, research and product teams. Architectural modeling, validation, microarchitectural definition, following standards bodies, and developing infrastructure enabling trusted platforms using hardware security methods. Work with customers, partners to identify and address security issues and threats. What we need to see: BSc, MS or PhD in Electrical Engineering, Computer Science or Computer Engineering, or equivalent experience. 12+ years of relevant experience. First-hand work experience with IO interface including: I2C, I3C, SPI, UART, USB, PCIe Have directly worked on several of the following: Computing platform boot architecture in embedded devices and servers RISC-V architecture, Root-of-trust, and security processors. Familiarity with embedded systems and programming low-level firmware. Familiar with Security-by-design hardware and principles of privileges. Programming and debugging fundamentals across languages such as: Verilog, Python/Perl scripting, ARM assembly and C/C++. The ability to work in a dynamic collaboration oriented team is required and strong communication skills and a real passion for working as a team are essential.We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We tackle the most complex problems in quantitative finance by bringing scientific clarity to financial complexity. From our London HQ, we unite world class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Role As part of our engineering team, you'll shape the platforms and tools that drive high impact research - designing systems that scale, accelerate discovery and support innovation across the firm. The Applied AI team sits at the centre of this effort, building the AI layer that will transform how teams across the firm work, from quant research to engineering, risk and operations. Key Responsibilities Work across areas such as retrieval and knowledge systems, multi agent orchestration, evaluation, reliability and context engineering. Take AI systems from early prototypes to trusted, production ready solutions. Own high impact projects from initial concept through to production. Partner with teams across the firm to identify problems and deliver scalable solutions. Turn team specific use cases into solutions that can be adopted more widely across the organisation. Qualifications Strong software engineering background with modern AI technologies. Hands on experience building LLM powered systems in production, including agents, RAG pipelines, MCPs, tool use and multi step workflows. Familiarity with frameworks such as LangGraph, Pydantic AI or similar. Strong Python engineering skills and ability to produce clean, testable, production quality code. Experience with context engineering: retrieval strategies, prompt construction, information routing, memory. Experience with evaluation and observability for AI systems, including measuring accuracy, detecting regressions and understanding failure modes. Ability to work across domains; comfortable embedding with quantitative research teams one month and ops teams the next. Clear communication skills. Experience with fine tuning or adapting foundation models (e.g., LoRA, DPO). Comfort integrating with heterogeneous stacks such as C#, C++, JVM, gRPC, Kubernetes. Contributions to open source AI projects, technical writing or conference talks. Benefits Highly competitive compensation plus annual discretionary bonus. Lunch provided (via Just Eat for Business) and dedicated barista bar. 35 days annual leave. 9% company pension contributions. Informal dress code and excellent work/life balance. Comprehensive healthcare and life assurance. Cycle to work scheme. Monthly company events. G Research is committed to cultivating and preserving an inclusive work environment. We are an ideas driven business and we place great value on diversity of experience and opinions.

Company the company, a global investment bank and securities firm, has served companies and their investors for over 60 years. Headquartered in New York City, with offices in more than 25 cities around the world, the company provides clients with capital markets and financial advisory services, institutional brokerage, securities research and asset management. The firm is a leading provider of trade execution in equity, high yield, convertible and international securities for institutional investors and high net worth individuals. Role Overview the company is seeking a highly experienced Senior Full Stack / Native Cloud Engineer at Vice President level to join our London Technology team. This is a strategic, hands on engineering leadership role focused on designing and delivering scalable, cloud native, event driven platforms that enable data driven and intelligent solutions across the company' client facing business units. The role will form part of the Madison CRM & Analytics programme and will require a strong combination of deep technical expertise, end to end delivery ownership, and engineering leadership. The successful candidate will work closely with business stakeholders, product managers, and globally distributed technology teams to build resilient, high performance platforms and user facing solutions that support critical front office workflows. This role is well suited to an engineer who is comfortable operating across the full technology stack, from backend services and distributed data architecture through to responsive user interfaces, production support, and engineering best practice. Key Responsibilities Lead the design, development, and delivery of backend services and platform components using Java 8+ / Spring Boot and Python / FastAPI. Build, enhance, and operate event driven, real time data pipelines using Kafka and related streaming technologies. Provide deep technical expertise in distributed systems, data architecture, and scalable platform design. Design, implement, and maintain Java based APIs and microservices, including REST, OpenAPI, GraphQL, and gRPC services. Work with modern data technologies including PostgreSQL, MongoDB, and Amazon Redshift. Deliver reliable, performant, and responsive user interfaces aligned to UX designs, using Angular or React. Own solutions end to end, from technical design and architecture through to production deployment, monitoring, support, and continuous improvement. Champion engineering best practices across code quality, testing, CI/CD, observability, maintainability, and operational resilience. Mentor and guide junior and mid level engineers, setting high technical standards through code reviews, design reviews, and hands on technical leadership. Independently identify, analyse, scope, and propose solutions to complex technical challenges with minimal direction. Partner closely with business stakeholders, product managers, and cross functional technology teams to translate requirements into robust technical solutions. Optimise systems for performance, scalability, resiliency, reliability, and low latency operation. Participate actively in Agile ceremonies, contributing to sprint planning, estimation, execution, retrospectives, and continuous delivery improvements. Collaborate with globally distributed engineering teams to ensure consistency of architecture, delivery standards, and platform evolution. Support production systems, ensuring timely issue resolution, effective root cause analysis, and ongoing service improvement. Required Skills and Experience Strong professional experience in full stack software engineering, ideally within financial services, capital markets, or another complex enterprise technology environment. Advanced backend engineering experience with Java 8+, Spring Boot, and microservices based architectures. Strong Python development experience, preferably with FastAPI or similar modern API frameworks. Proven experience designing and building cloud native, distributed, scalable, and resilient systems. Hands on experience with Kafka or similar event streaming technologies. Strong understanding of API design and service integration patterns, including REST, OpenAPI, GraphQL, and gRPC. Practical experience with relational and NoSQL data platforms, including PostgreSQL, MongoDB, and Redshift. Frontend development experience using Angular or React, with a focus on reliable, maintainable, and responsive UI delivery. Strong understanding of software engineering best practices, including automated testing, clean code, code reviews, CI/CD, observability, and secure development practices. Experience deploying and operating production grade systems in cloud or hybrid cloud environments. Demonstrated ability to lead technical delivery, mentor engineers, and influence architecture decisions. Strong analytical and problem solving skills, with the ability to operate independently in a complex delivery environment. Excellent communication skills, with the ability to engage effectively with technical teams, business stakeholders, and product partners. Preferred Skills Experience working on CRM, client intelligence, sales enablement, or front office data platforms. Experience in investment banking, equities, fixed income, wealth management, or broader financial services technology. Familiarity with AWS or other public cloud platforms. Experience with containerisation and orchestration technologies such as Docker and Kubernetes. Knowledge of observability tooling, monitoring frameworks, distributed tracing, and production support best practices. Experience working in globally distributed Agile engineering teams. Understanding of data governance, data lineage, entitlements, and regulatory considerations in financial services environments. Candidate Profile The ideal candidate will be a hands on engineering leader who combines strong technical depth with pragmatic delivery judgement. They will be comfortable moving between architecture, coding, code reviews, stakeholder engagement, and production support. They should demonstrate ownership, intellectual curiosity, strong communication skills, and a commitment to delivering high quality technology solutions in a fast paced environment. They will be expected to set technical direction, raise engineering standards, and help build scalable platforms that support the company' client facing businesses.

Location London Employment Type Full time Location Type Hybrid Department Engineering Synthesia is the world's leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role You will focus on friction points around primarily backend issues for all teams in Engineering (90 Engineers). How should we do inter-service testing? Some teams are using monorepo, others aren't. How can we bring overall stability up? Generally steering BE in the right direction. In the near future, standardising things across all of Engineering and bringing R&D teams (another 40 Engineers and Researchers) closer. You will have ownership of projects that span quarters, requiring you to have the ability to break a problem down into small steps that can be delivered and validated iteratively. You will evaluate your own work, leveraging our data pipeline and frameworks that we have established to understand the impact your features have on our commercial objectives and pivoting where necessary. You will consider the long-term direction of Engineering, making sure that we are developing the engineering capabilities that will allow us to stay ahead of the challenges we are likely to encounter in 12-18 months' time. You will work end-to-end, from our client application written in React to our monolithic backend written in Python, and lead projects that span across multiple teams. What we're looking for: At least ten (10) years of experience as a software engineer, at least 2 at the Senior Staff/Principal level (L7+). Previous leadership experience in driving projects across multiple teams (50+ Engineers). Experience in a high-performing engineering Org that is operating at scale. This could come from a scale-up environment or a more established organization recognised for building and shipping with a great engineering culture. An ability to work across the stack, with deep knowledge on server side and all things back end related. Relevant engineering experience for a team building an enterprise-grade SaaS product. Extra points for delivering AI-powered video generation product, billing systems, experimentation platforms, video delivery systems, online editors, real-time collaboration and so on. Strong alignment with commercial success. Other important info: This is a remote role from an EU country, UK or Switzerland. The salary starts at EUR/GBP/CHF 200.000 base + stock option plan. This is full-time employment only - no contractors possible - usually through OysterHR. Everyone at Synthesia gets 25 days of leave + local holidays (no extra paid or unpaid leave possible). We only sponsor VISA if you are in the UK/EU country already and need support - we do not relocate people.

About the role This is a senior, foundational role on a new team: you'll make architecture decisions that the rest of the team builds on and help shape what we build first. The work is hands on and varied. Some weeks you'll be deep in pipeline or infrastructure engineering; others you'll be tuning prompts until the output is good or sitting with a research team that depends on your systems and shipping the fixes they need. We are looking for experienced engineers who own outcomes end to end - down to reading transcripts, supporting users, and wrangling vendors. The company's RL Data team builds the systems that produce high quality reinforcement learning data for Claude: data collection pipelines, human feedback tooling, the execution environments RL tasks run in, and the quality assurance that keeps training data trustworthy at scale. Our goal is to make Claude great at real work - especially the work that matters most, like AI safety research and beneficial deployments of AI. (To be upfront: this is dual use work - it advances general capabilities too.) Key responsibilities Own significant parts of our stack end to end, from technical architecture through the unglamorous operational work that makes it succeed. Build data collection pipelines, read the transcripts they produce, and iterate on prompts, evals, and graders until the output is good. Develop and improve QA frameworks to catch reward hacking and ensure environment quality. Build interfaces that make collecting human data fast and painless for the people providing it. Harden execution environments - sandboxing, snapshotting, tool coverage - so tasks hold up at training scale. Embed with the teams and domain experts who use our systems day to day, and work with operations, security, and compliance partners to roll our systems out to new users and vendors. Minimum qualifications A track record of owning major projects end to end in fast paced, ambiguous environments - for example as a founder or CTO, forward deployed engineer, tech lead, founding engineer at a startup, or creator of a substantial open source project. Trusted to run key projects: you lead and inspire others, plan workstreams effectively, collaborate with cross functional stakeholders, and proactively eliminate or escalate blockers. Strong software engineering skills in at least one modern programming language - we mostly use Python and TypeScript, but care more about quickly picking up new tools than knowing our exact stack. Familiarity with Docker, Kubernetes, and common cloud infrastructure is a plus. Effective use of AI tools in your own day to day work. Care about the societal impacts of your work. Preferred qualifications Experience with reinforcement learning on LLMs, particularly on the data side: creating evals, environments, rewards, graders, or training data. Experience helping organizations use AI more effectively, including integrating with third party tools via APIs, CLIs, and MCP servers. Strong data engineering skills: pipelines that handle large volumes reliably in production, LLM powered enrichment steps, and a focus on improving data quality. Experience shipping user facing products or internal platforms people love: interviewing users, hunting down friction, measurably improving the experience. Basic familiarity with AI safety or security research. Representative projects Take a data collection pipeline from research prototype to a production service that serves many research teams - collection, human validation, grading, and everything in between. Own the program of developing sandboxed execution environments realistic enough for long horizon, high tool use agentic tasks - and harden them so they behave correctly across millions of rollouts in a frontier training run. Bring a new data source online - from first conversation with a partner organization to data flowing into production training runs - coordinating with product, security, privacy, legal, and infrastructure teams along the way. Own the QA layer that decides which tasks make it into Claude's training: automated checks and expert review flows (a busy domain expert should be able to validate a task in under five minutes) that hold up when a frontier model learns to game them. Cut the time from 'rough task idea' to 'task in a production training run' from days to hours. You'd own the direction: figure out where the bottlenecks actually are, then automate, redesign, or delete the steps in the way. Compensation Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience. Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience. Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position. Location based hybrid policy: We expect all staff to be in one of our offices at least 25% of the time. Some roles may require more time in our offices. Visa sponsorship: We do sponsor visas and will make every reasonable effort to obtain a visa if you receive an offer. Benefits Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space for collaboration.

Junior Big Data Engineer Location: East Midlands Industry: IT Salary: £20000 - £35000 per annum + Good benefits package Posted: 01/01/2020 Description Junior Big Data Engineer, Analytics, Kafka, Cassandra, Hadoop, Spark, Zookeeper, .Net Core, Azure, DevOps, Big Data Administration, Disaster Recovery - Global Software House, Nottingham Do you have experience in working with Big Data? Do you have experience of Kafta or similar and want to join a brand-new Big Data Team? Want to work for an Award-winning Global Software House who is expanding? Even if you just have a degree or other qualification in Big Data then I would like to hear from you. ROLE: Brand new Big Data Engineering team with this Software House. A key part of your role will be to work with data from thousands+ devices, working on data ingest, data movement and data consumption pipelines. Generating insight into data by applying computational intelligence, optimisation, and big data analytics techniques. As a Big Data Specialist, we need you to have covered some of the following: Confluent's Kafka library (and Librdkafka in general) Kafka administration Kafka monitoring using JMX High-performance stream processing Kafka Connectors (mainly Sinks initially, e.g. for HDFS) Hadoop ecosystem, Essentially HDFS and Hive; Desirable: Spark, Zookeeper, Oozie, NiFi Any knowledge of the following is beneficial: High-performance Asynchronous Kafka communication from .NET, Microservice architectural patterns, Automated testing COMPANY: Our Global client has multiple locations around the world. With around 300+ employees they invest heavily every year in Research & Development ensuring their products remain at the forefront of technology and have a ring-fenced training budget offering all staff continual personal development opportunities. Occupying modern office facilities with free parking commutable from Nottingham, Mansfield, and Derby. Accessible by public transport. Salary is reflexive of experience ranging from 25-65K + an impressive benefits package. Candidates of all ages and backgrounds will be considered for this role.

IT Systems Administrator - XP/Server 2012/SQL - 40K Location: East Midlands Industry: IT Salary: £35000 - £40000 per annum + 25 days holiday, Pension Posted: 18/05/2016 Description As a 1st 3rd Line Infrastructure Engineer / Systems Administrator, your key responsibility will be to provide support, development and administration of all Network & Infrastructure Systems. You will be responsible for project delivery, IT technical management, and management of the IT estate. Technical environment includes MS Windows XP/7, Server 2008/2012, MS Exchange 2010, VMware/Hyper V, SQL Server, and related networking technologies. The role requires delivery of both operational and project work to deadlines, strong communication, organisational skills, and the ability to work independently. You will also manage IT purchasing and contract renewals. We are looking for someone who is prepared to roll up their sleeves, research solutions, and take ownership of tasks. Confidence and the willingness to learn are key attributes. Client: A Global Software House with a history spanning over 30 years, supporting around 25,000 users worldwide. The environment is stable, supportive, with a smart/casual dress code and remote friendly access. Benefits: 25 days holiday, Pension, annual pay reviews, and training opportunities. Qualifications & Experience • 1st 3rd Line support experience • Knowledge of MS Windows XP/7, Server 2008/2012, MS Exchange 2010, VMware/Hyper V, SQL Server • Experience with networking, CCNA/MCITP, AD, Cisco technologies • Comfortable with project delivery and IT estate management • Strong communication and organisational skills • Ability to work independently and manage contracts and procurement Candidates of all ages and backgrounds will be considered for this role.

IT Systems Administrator - Sole IT / Windows/SQL - 35-40K Location: East Midlands Industry: IT Salary: £35000 - £40000 per annum + 25 days holiday, Pension Posted: 23/05/2016 Overview IT Systems Administrator, 1st-3rd Line, Infrastructure Engineer Job, Networking, CCNA/MCITP, MS Windows XP/7, Server 2012, Exchange 2010, AD, CISCO, VMware/Hyper V, SQL Server, IT Infrastructure management - Global Technology Leader - East Midlands 35-40K Client: A global software house with a history of over 30 years, serving around 25,000 users worldwide. The organization is financially stable, invests in new products, retains staff well, and operates from a purpose built office with parking and a smart casual dress code. The office is commutable from Nottingham, Derby and Leicester. Role As the sole IT Systems Administrator, your key responsibility is to provide support, development and administration of all network and infrastructure systems. You will have overall technical management responsibility, handle project delivery, IT purchasing, and contract renewals. The role demands an operational and project capacity, strong communication, organisation, and the ability to work without close supervision. Technical Environment MS Windows XP/7, Server 2008/2012, MS Exchange 2010, VMware/Hyper V, SQL Server. What We're Looking For Prepared to roll up your sleeves and get stuck in. If unsure, research, learn, and make it happen. Confidence is key; you will report directly to the Director and manage the estate independently. Benefits Salary: K, 25 days holiday, pension, annual pay reviews and training. EEO Statement Candidates of all ages and backgrounds will be considered for this role. Recruiter Jo Bevington - Phone: - Email:

Global Software House is seeking a Senior iOS Developer to join their mobile team in the East Midlands. You will design and develop iOS apps within an agile product development environment and contribute to research and production projects. Ideal candidates have 3+ years of iOS experience, strong knowledge of Swift 3+, RESTful APIs, and modern architectures. Desirable: Android, JSON, and automated build/test experience.

C# Developer - WPF / MVVM Location: West Midlands Industry: IT Salary: £40,000 - £45,000 per annum + pension, 25 days holiday, bonus Posted: 21/12/2017 Description C# Developer, .Net Programmer, .Net 3.5/4.0, DotNet, Windows/Win Forms, SQL Server, T SQL, LINQ, WPF/WCF, Visual Studio 2010, Crystal Reports - 40/45K + Good Bens Can you show proven C# experience on commercial software development? Do you want to join a client who are revolutionising their industry? Can you lead by example and mentor junior engineers? Role: C#/.Net WPF developer required to work on cutting edge software products. You will work in a fully established and competent development team reporting into the Development Manager. Technical environment: C#, .Net 3.5/4.0, Win Forms, SQL Server, T SQL, WCF/WPF, Crystal Reports. As a .Net software engineer you will work on the development of scientific software products and benefit from cross training into the full product range this company offers. As a C# Senior Software Engineer you will be responsible for translating business requirements into software solutions. This involves researching and developing the algorithms and programming the C# code, estimating, designing and implementing the logic that delivers system functionality, and testing solutions from an end user perspective. DotNet Development is conducted in an Agile/Scrum environment; previous experience with this methodology and familiarity with sprint work is preferred. Solid knowledge of WPF and/or MVVM is required. We seek an individual who values teamwork, possesses excellent communication skills and strong problem solving abilities. This is a permanent role with a strong and exciting future. Salary & Benefits: up to £45,000 + 25 days holiday. The role is based in the Midlands, easily commutable from Birmingham, Tamworth and Stafford, and is accessible by public transport. Candidates of all ages and backgrounds will be considered for this role.

Select how often (in days) to receive an alert: Associate Software Engineer 135680 Job title: Associate Software Engineer Working hours: This role is available on a part-time, job-share or full-time basis. Salary: Up to £35,000 plus an excellent benefits package Location: Warminster, hybrid with 3 days in the office a week with flexible hours Help shape the future of software delivery at Zurich Nova Originally founded in 2023 as a high-tech AI start-up, we were recently acquired by Zurich with a clear mission: keep the best parts of start-up culture alive within an arm's-length team focused on transformation and innovation, which culminated in the creation of Zurich Nova. We sit at the cutting edge of AI. When you come in each morning, you can expect someone to already be talking about a new model released overnight, a breakthrough paper from the previous evening, or a fresh way to apply AI to real operational challenges. Staying on top of the latest developments isn't a nice-to-have it's how we work. Our team brings together a wealth of experience in artificial intelligence, enterprise technology, cloud infrastructure and process optimisation. We're here to bridge the gap between rapid AI innovation and practical business outcomes, turning new capabilities into solutions that genuinely improve efficiency, productivity and operational performance. To make that possible, we protect time for research and experimentation. Everyone in the team has guaranteed space for R&D projects including exploring new models, testing emerging tools and working together to discover better ways of doing things. We're building intuitive, often no-code solutions that can be adopted quickly but are powered by genuinely advanced AI techniques such as Reinforcement Learning, Generative AI and collaborative AI agents. Today, Zurich Nova as Zurich's high-tech AI venture, we're helping shape the future of AI-driven process optimisation across the organisation. Joining this team means becoming part of an ongoing journey where curiosity, innovation and ambition are not just encouraged, but expected and where pushing the boundaries of what's possible is part of the job description. The opportunity This role sits in Zurich Nova within Life, Health and Bank Distribution a growing part of Zurich, focused on using AI to create a more revolutionary approach to software delivery. You will work with emerging technologies, language models and engineering platforms, helping to translate ideas into real-world software solutions. This will require more than technical ability. It will require judgement, patience, resilience, emotional intelligence and the ability to communicate clearly with both humans and AI systems. What you'll be doing Collaborate with technical and non-technical colleagues to solve real business problems. Build, test and improve AI-enabled software solutions. Work across layers of engineering, from product concept through to technical implementation. Use prompting, model interaction and software engineering skills to shape better outcomes. Translate complex technical concepts into clear, practical language. Help design new ways of working that use AI to improve software delivery. Explore how emerging technologies can be applied safely, effectively and commercially. Challenge assumptions and improve existing interfaces, workflows and systems. Bring a maker mindset, i.e. someone who enjoys building, refining and understanding how things fit together. Stay curious about the deeper layers of technology, including models, data, infrastructure and software architecture. What we're looking for We are looking for someone who combines strong technical foundations with curiosity, resilience and emotional intelligence. An exceptional builder and problem-solver to join a team working at the edge of AI-enabled software delivery. This is not a role for someone who simply wants to write code, move on and climb the next ladder. We are looking for someone who cares deeply about the product, the craft and the impact of what they are building. What matters most is that you have a strong foundation in engineering discipline, a curious mindset and a genuine appetite to understand how things work at a deeper level. You may be a great fit if: Have a background in software engineering, computer science, physics, engineering, data science or a related discipline. Have achieved meaningful outcomes in engineering, coding, software delivery or technical product development. Understand the principles of good engineering and can explain technical concepts clearly. Are naturally curious and enjoy working out how systems, products and technologies fit together. Have a genuine interest in AI, emerging technology, software delivery and product development. Are articulate, thoughtful and able to communicate complex ideas in simple terms. Enjoy building things whether that is software, systems, products or physical projects. Are resilient and comfortable with ambiguity, experimentation and iteration. Have the emotional intelligence to work patiently with AI tools, prompts, models and people. Can handle challenge, feedback and setbacks without becoming overly frustrated. Care about the quality and usefulness of what you build, not just the technical solution. Have ambition, but are motivated by mastery, impact and contribution rather than title progression alone. The mindset we value We're less interested in ticking every box today and more interested in finding someone with the curiosity, attitude and potential to grow. The people who thrive in this team tend to share the following qualities: A creator at heart - you enjoy building, experimenting and continuously improving the things around you. Naturally curious - you're driven to understand how technology works beneath the surface and aren't afraid to ask questions. Resilient and adaptable - you embrace challenges, learn from setbacks and stay focused when navigating uncertainty. A clear communicator - you can explain complex ideas in a way that is engaging, practical and easy to understand. Empathetic - you recognise the human side of technology and value collaboration, inclusion and user experience. Outcome-focused - you care about delivering meaningful results and creating solutions that make a difference. Committed to growth - you're excited by emerging technologies and motivated to keep learning, developing and expanding your expertise. What we are not looking for We're not looking for someone who simply points out why something won't work. We're looking for someone who can identify challenges, communicate them clearly and help shape practical solutions. You'll be naturally curious, collaborative and motivated by making things better. Rather than being tied to a single technology or discipline, you'll enjoy learning, experimenting and adapting as technology evolves. Most importantly, you'll be someone who wants to make a genuine impact, continuously develop your skills and grow through the value you create for others. Our culture: Our culture here at Zurich Nova is different. We believe working together makes us stronger. Our offices are based in Warminster and we meet a minimum of three days a week in the office. We don't watch the clock, as we know some of the best coders work to the hours that suit them. We do, however, respect the value of collaboration and working together, whether that's solving a problem, taking some time to go for a hike, or being creative in something completely different. We are investing in a maker space where team members can learn new skills. Assessment approach This role suits a genuine maker: someone who is curious, resilient and articulate. Language, and how you use it, is key to how you interact with AI. The first stage of the process will be assessing these skills. If successful, you will then have a telephone screen with one of our recruiters. Following this step, you will meet the team on site for an interview and complete a practical or work-based exercise. This could include reviewing an interface, explaining how you would improve a system, or describing how you would guide an AI tool to solve a problem. This is designed to understand how you think, communicate, solve problems and engage with emerging technology, not just what you know technically. If successful, we are looking at a September start date, where you will undergo three months of intensive onboarding, coaching and training. Financials 12% defined non-contributory pension scheme. Annual company bonus. Income Protection. Life cover - four times your salary. Time away 28 days holiday a year plus bank holidays. You can also request to swap UK bank holidays for days off that have cultural or religious significance to you. The option to buy up to an additional 20 days or sell some of your holiday. Three days paid volunteering. Up to 16 weeks' full pay for maternity, paternity and adoption leave. Your health is important to us Access to Private medical insurance. Virtual GP appointments. Discounted gym membership. Free flu jab. Access to a wealth of support from our wellbeing partners. We're making a difference Creating a brighter, more sustainable future underpins all that we do here in Zurich . click apply for full job details