92 jobs found

Due to progression, this role exists to replace a senior engineer within a well-established software company operating in the highly regulated energy sector. Senior Python Software Engineer Circa £56,000 + up to 15% bonus Hybrid (2 days per week in Oxford) The software you'll work on is business critical click apply for full job details

At Precis, we are a group of friendly experts in media buying, analytics & marketing science, creative and technology with a joint mission to help great companies thrive in the digital landscape. Are you curious to learn more about us? Read more about us here. For insights into what life is like at Precis and a peek at the perks of working with us, visit this page. In our Handbook, you can get a neat summary of who we are, our culture and our offices. The Data Scientist serves as a foundational position for professionals building their expertise in data science, applying analytical skills to contribute to project outcomes under the guidance of more experienced colleagues. This role is centered around honing technical abilities in data handling, modeling, and analysis, while also learning to translate data insights into actionable business recommendations. In contrast to the more senior data science roles, the Data Scientist is characterized by a focus on growth and development, contributing to projects with support, and playing a key role in the collaborative efforts of the data science team to deliver on project objectives and gain valuable experience in the field. WHAT YOU WILL BE DOING Support the development of machine learning models and statistical algorithms to address marketing and business challenges, emphasizing interpretability, adaptability to market changes, and business-driven performance metrics. Contribute to rapid prototyping, large-scale data analysis, and solution deployment in collaboration with senior team members to enable informed decision-making and maintain competitive advantage. Work closely with cross-functional teams (product, engineering, and business stakeholders) to understand needs, translate analytical concepts into actionable marketing strategies, and deliver insights applicable across departments. Help build and maintain strong client relationships by understanding their marketing and business challenges, contributing to relevant, data-driven strategies that support client retention and growth. Apply industry best practices in data analysis, feature engineering, and model development while continuously learning and integrating new data science and marketing analytics technologies under mentorship. Promote innovation and collaboration within a dynamic team environment, proactively developing technical and marketing expertise, and supporting ethical data practices, regulatory compliance, and transparency in data usage and model deployment. WHAT WE ARE LOOKING FOR ️ 2-4 years of experience extracting actionable insights from complex datasets and presenting findings clearly and accessibly, connecting data science work to business objectives and marketing impact. Strong technical proficiency in Python and SQL for data manipulation, cleaning, transformation, and visualization (e.g., pandas, matplotlib, plotly), with a solid understanding of machine learning and statistical methods applied to business problems. Familiarity with cloud environments such as GCP, including BigQuery, serverless solutions, and foundational machine learning tools. Proactive, solution-oriented mindset with strong problem-solving, communication, and stakeholder engagement skills, ensuring timely delivery and alignment with project and business needs. Excellent communication in English. WHAT WE OFFER An intense learning environment where you will be able to grow and develop your skills and passions alongside some of the brightest minds in the industry. A culture that is built on collaboration, trust and innovation. We value having fun together - that's why we also have regular afterworks, team events and a yearly festival. Transparent salary setting, you can find all our salary bands in our handbook. This role is a L2 role within the Marketing Science column. Check it out! 30 days paid leave, flexible public holidays, parental pay, a solid pension scheme and key insurance. Our different offices also offer different perks such as massage, health care contributions, free book orders, healthy snacks & great coffee, EAP programs and your choice of PC or Mac. A diverse environment with a high focus on inclusion and belonging. We speak 46 native languages around Precis, and our internal inclusion score is 4.5 out of 5. Please send your application in English. We are committed to building an inclusive and fair workplace that attracts talent and advances its people, regardless of their background, experiences or perspectives. We believe that a diverse set of minds will continue to contribute to our innovative culture and our ability to reinvent ourselves constantly. We update all candidates on their applications by email. If you don't receive an email from us, please check your spam folder.

Looking to play a key role in architecting the strategy for how organizations defend their most critical assets? Join a technology services firm known for delivering reliable IT infrastructure, cloud, and managed services that help organisations run securely and efficiently. Works across industries including finance, legal, healthcare, and professional services. This role primarily involves acting as an offensive security lead for a diverse portfolio of 50+ clients across the Finance, Legal, and Sales & Distribution sectors. If you are interested in blending traditional deep-dive testing and cutting edge research into the security implications of AI adoption, apply now! Responsibilities Full Spectrum Security Testing Lead Complex Engagements: Direct and execute end to end penetration tests across internal and external networks, web applications, and mobile platforms. Multi Sector Adaptation: Tailor testing methodologies to meet the specific regulatory and threat landscapes of the Finance (high compliance), Legal (data privacy), and Distribution (operational uptime) industries. Advanced Adversarial Simulation: Go beyond automated scans to perform manual exploitation, pivoting, and social engineering to simulate real world sophisticated threats. Vulnerability Management & Remediation Strategic Reporting: Translate technical findings into high impact remediation reports for both executive stakeholders and technical teams. Remediation Oversight: In key accounts, act as a consultant to oversee the implementation of fixes, ensuring that vulnerabilities are not just identified, but effectively neutralized. Risk Prioritization: Help clients navigate "patch fatigue" by prioritizing vulnerabilities based on exploitability and business impact. Required Skills / Qualifications Technical Must Haves Offensive Certifications: Must hold at least one advanced, practical certification such as OSCP (Offensive Security Certified Professional), OSCE, GPEN, or GXPN. Full Stack Testing Expertise: Proven experience performing manual penetration testing across Internal/External Networks, Web Applications (OWASP Top 10), and Mobile (iOS/Android). Development Skills: Proficiency in Python, Go, or Ruby. You must be able to write custom scripts and contribute to the development of internal tools for AI monitoring and vulnerability detection. Infrastructure Knowledge: Deep understanding of Active Directory, Kerberos, Cloud environments (Azure/AWS), and modern containerization (Docker/Kubernetes). Experience & Engagement Lead Must Haves Engagement Leadership: Minimum of 5-7 years in a dedicated penetration testing role, with experience leading the lifecycle of an engagement from scoping to delivery. Multi Tenant/MSP Experience: Ability to manage security assessments for a large portfolio of clients (ideally 20+) simultaneously without a drop in quality. Remediation Advocacy: Act as a consultant to oversee and validate the remediation efforts of client IT teams. Salary Up to 130k (estimated)

At Urban Jungle , we're making insurance fair - to people, planet and wallets. We're one of the fastest-growing businesses in the UK, working to fix one of the biggest industries in the world. We put customers at the heart of everything we do, using data and technology to make insurance simple, flexible, and affordable. We care about our impact on the planet, becoming a B Corp in 2022 and offsetting our carbon emissions every year. So far, we've helped 300,000 customers get better insurance and become one of the top-rated home insurance providers in the UK. We placed 1st in Tempo's 2024 award for best startup to work for, and are in the top 10 of Deloitte's Fast 50. We've raised over £43m in funding to date to help us with our mission. We're looking for people to join our team of kind, talented people on a mission to change the insurance industry for good. About the role We're on the hunt for Software Engineers to join our 13-strong Full Stack Software Engineering team. You'll hit the ground running, getting stuck into our tech stack from day one and shipping valuable features within your first few weeks. You'll start by flexing your strengths, then we'll quickly get you stuck into new areas to grow your skillset and widen your impact. You'll be at the heart of a team that collaborates closely with Product, Commercial, and Data - all working together to build features that genuinely delight our customers and move the needle. Here's what you'll get up to: You'll start with high-impact, high-visibility features, then scale up to leading cross-functional projects like new product launches, integrations with our external partners, and platform-wide upgrades. Learn fast and often - you'll level up your skills across a wide range of tools and technologies while working on meaningful, end-to-end challenges. You'll bring your technical expertise to influence key decisions about how we design, build, and expand our growing portfolio of products and services. Be part of shaping the team's future -your ideas will matter, and you'll have a real voice in how we scale, operate, and grow. You've read this far! Here's what we're looking for from you: Whether you're just starting out in your career or already have some experience under your belt, we're looking for kind, curious problem solvers who want to have an impact on the lives of real people. You're eager to deepen your skillset in Front-End/UX design, Linux, Docker, AWS, and SQL. You're excited to take ownership, ship value fast, and continuously improve. You bring a clear, thoughtful communication style - translating technical complexity into plain English. You're a problem-solver through and through - big or small, you love a challenge! You question the status quo if it leads to better outcomes for our customers. You manage your time well and prioritise work that aligns with company goals. You're ambitious, hands on, and hungry to grow as fast as the business. You treat everyone with integrity, respect and kindness - whether it's your colleagues, our customers, or our partners. These requirements are a guide as to what we're looking for, but if you don't have all of the skills listed above, that's okay! Please don't let that hold you back from applying if the role excites you. Below you can find a small reflection of our current tech stack: Frontend: TypeScript Angular 19 Tailwind CSS Orval Zod Python Pydantic FastAPI All the other good stuff: Docker AWS About our offer We're taking an office-centric approach to work (with lots of flexibility built-in) and the team is based in Oval, London. In addition to our positive, open working environment, you can expect the following benefits of working at Urban Jungle: A starting salary of between £40,000 - £41,000 . Share options that can increase alongside performance and growth. 25 days paid annual leave,plus public holidays. Rapid Progression. We'll give you the opportunity to experience loads, and develop rapidly. You'll get tons of responsibility from day one, and all the feedback, coaching and support you need to fuel your career growth. Real Impact. You'll work on big, interesting problems that will challenge you, and do so in a way that has a positive impact on people's lives, the planet and our community. A Clear Plan. We'll give you the clarity on what we want to achieve, with the freedom and autonomy for you to decide how we get there. The Best People. You'll be surrounded by teammates who are exceptional at what they do, whilst being kind, honest people who champion our values. A dedicated development budget, access to a senior mentor, and training on whatever you need to do your job well. Well-being support. We're committed to supporting both physical and mental well-being through access to therapy, weekly onsite yoga, and subsidised sports clubs. Enhanced parental leave, and support for parents returning to work. All. The. Fun. We regularly organise awesome socials and have some vibrant team communities such as book club and foodies. Depending on relevant experience, this salary range is negotiable. About our commitment Urban Jungle is an equal opportunity employer and fairness and respect are at the heart of who we are and how we work. We do not discriminate based on race, age, ethnicity, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity or disability. We know that in order to build a truly successful business, we need a team of diverse individuals who can offer a variety of skills, experiences and perspectives.

AI Engineer - Agentic AI (Training & Enablement) Who we are:We deliver powerful data and AI solutions that minimize operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Incredible minds from all backgrounds are trained to become part of a diverse team of experts. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today's leading technology providers - such as Databricks, Snowflake and Collibra - delivery As an AI Engineer (Agentic AI) within our AI Engineering Training & Enablement capability, you will play a hands on role in developing, testing, and evolving agentic AI systems while contributing to the development and delivery of high quality technical training. This is a learning focused engineering role, combining practical AI engineering with the ability to contribute and deliver training labs, exercises, and technical artefacts that underpin our training offer. You will act as a technical contributor and subject matter specialist, supporting trainers, learners, and-where appropriate-commercial or client facing teams by demonstrating the real world credibility of our AI engineering practices. Key Responsibilities Agentic AI Engineering & Practical Enablement Design, build, and maintain diverse AI systems, ranging from classical machine learning pipelines to advanced agentic AI architectures (tool using agents, RAG, orchestration). Develop production ready reference implementations that demonstrate best practices in software engineering, including testing, version control, and CI/CD for AI applications. Create and maintain robust engineering environments, including containerised setups and cloud infrastructure, to support technical enablement and experimentation. Act as a subject matter expert on the full AI lifecycle, providing technical guidance on data preparation, model training, MLOps, and deployment strategies. Experiment with new agentic patterns, tools, and frameworks and translate learnings into practical training artefacts. Training Delivery & Learner Support Lead technical sessions and workshops covering the full spectrum of AI engineering, from foundational Python and statistics to deep learning and Generative AI. Mentor junior engineers and consultants, helping them debug complex issues across data pipelines, infrastructure configuration, and model development. Continuously refine technical artefacts and exercises to ensure they reflect current industry standards and realistic enterprise challenges. Engineering Standards, Evaluation & Responsible AI Embed evaluation practices into agentic AI builds, including benchmarking, regression testing, and failure mode inspection. Contribute to responsible AI patterns within training content (data boundaries, permissions, guardrails). Ensure training artefacts reflect modern engineering standards and realistic enterprise constraints. Collaboration & Capability Development Work closely with trainers, architects, and senior engineers to align training content with best practice. Contribute to internal policy and standards documentation, knowledge sharing, and centres of excellence. Support onboarding and enablement of new trainers or engineers. Lead internal demos, showcases, or events highlighting agentic AI capability. Key Requirements Experience 3-6+ years in software engineering, Data Science, or Machine Learning Engineering roles, with a track record of building and deploying production systems. Technical Skills Core Engineering: Expert proficiency in Python (writing modular, production quality code) and strong working knowledge of SQL and database design. Maths & Statistics: Strong grasp of probability theory, statistical analysis, and linear algebra, with the ability to apply these concepts to real world data problems. Classical Machine Learning: Deep practical knowledge of standard ML algorithms (regression, classification, clustering, ensemble methods) and libraries (scikit learn, pandas). Infrastructure & Containers: Hands on experience with containerisation (Docker) and orchestration (Kubernetes), including how to package and run AI applications in these environments. MLOps & Deployment: Proficiency with MLOps frameworks (specifically MLflow) for experiment tracking and model lifecycle management, as well as experience deploying models as APIs (FastAPI/Flask). Generative AI: Experience building applications with LLMs, including prompt engineering, RAG architectures, and vector databases. Rapid Prototyping: Proficiency in guiding AI coding assistants to rapidly generate and refine functional web interfaces (e.g., Streamlit, React) for agentic demos. Cloud Platforms: Proven experience developing and deploying AI solutions on Azure (specifically Azure ML and Cognitive Services) or equivalent AWS/GCP services. DevOps: Familiarity with modern DevOps practices, including Git based workflows and CI/CD pipelines (e.g., GitHub Actions, Azure DevOps). Agile Product Delivery: Familiarity with agile product delivery and requirements engineering practices. Ways of Working A genuine passion for upskilling others, with a patient and collaborative approach to code reviews and technical problem solving. Exceptional ability to explain complex engineering and mathematical concepts to audiences with varying levels of technical expertise. Collaborative approach suited to a team oriented, learning focused environment. Self directed and proactive - the ability to navigate uncertainty and ambiguity with business and technical stakeholders to co create value.

Adyen provides payments, data, and financial products in a single solution for customers like Facebook, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Team Lead, Performance Optimization We are looking for a Team Lead to build, mentor, and guide a hybrid team of Optimization Managers and Data Analysts. This team is key to driving customer growth, combining consultative merchant engagement with large-scale analytics, experimentation, and automated solutions. In this role, you'll lead initiatives that optimize authorization rates, manage risk, and improve cost efficiency, while acting as a trusted advisor to merchants. Success requires a blend of people leadership, technical strategy, commercial insight, and cross functional collaboration to ensure our products deliver maximum impact. What you'll do Build, coach, and scale a high performing hybrid team of strategists and data analysts, setting clear expectations around quality, impact, and technical excellence Lead merchant facing optimization engagements, ensuring recommendations are data driven, product aligned, and deliver measurable improvements in risk, fraud, and cost efficiency Guide the team in designing and implementing automated data solutions, utilizing Adyen products, big data platforms, and analytics tools to identify risks and opportunities. Champion scalable solutions (e.g., automated processes, dashboards, ETL pipelines) that improve operational efficiency without sacrificing quality Own team prioritization across merchant work, upskilling, and strategic initiatives; manage senior stakeholders and communicate clear trade offs Partner cross functionally with Commercial, Product, Risk, and Operations to translate merchant insights into roadmap influence and position the team as subject matter experts in payments, fraud, and risk Who you are 3+ years of experience bridging Data Analytics/Data Science and payments 5+ years of experience in a formal people leadership role, with a proven ability to lead teams that balance technical depth, customer impact, and operational excellence Technical expertise in Python, SQL, PySpark, and scalable data processing; hands on experience with big data platforms and ETL pipelines Experience in automation, analytics tooling, and driving scalable solutions in a data driven organization Excellent stakeholder management skills, with the ability to influence Product and Commercial partners through data storytelling, structured thinking, and actionable insights Clear communicator and confident presenter, able to engage senior external and internal stakeholders Entrepreneurial mindset with strong prioritization skills, a high sense of ownership, and the ability to thrive in a fast paced, global environment Our Diversity, Equity, and Inclusion commitments Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you're from, we welcome you to be your true self at Adyen. What's next? Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don't be afraid to let us know if you need more flexibility. This role is based out of our London office. We are an office first company and value in person collaboration; we do not offer remote only roles. The way we work is guided by the eight principles of the Adyen Formula. Learn more here.

Senior Software Engineer / SRE - Application Middleware Location London Business Area Engineering and CTO Ref # Description & Requirements Are you passionate about building high-performance systems that are fast, resilient, and operate at global scale? Join Bloomberg's Application Middleware SRE team, where you'll combine software engineering and systems expertise to keep the backbone of the Bloomberg Terminal running smoothly for hundreds of thousands of users around the world. We're not your typical SRE team. We're embedded in a group that powers real-time connectivity, and we own systems where uptime isn't just important-it's essential to the global financial system. This is your opportunity to engineer resilience at scale, automate critical infrastructure, and shape reliability practices across one of the world's most powerful tech platforms. The Team We're the Site Reliability Engineering team within Bloomberg's Application Middleware group. Our mission: ensure that Bloomberg's core connectivity and messaging layers are resilient, scalable, and fully observable. We own systems that operate at high throughput and low latency, including: Gateways: Secure, high-performance TCP/SSL entry points to our data centers HFN & NSTP: A global HTTP CDN and SOCKS5 proxy network delivering fast access from any geography Playlist Services: Dynamic path configuration systems optimizing user connectivity in real-time PGM Relays: Infrastructure for reliable multicast data delivery We use automation, observability, and software engineering to detect issues before they impact customers and reduce manual toil wherever we can. What You'll Do Build production grade software that powers Bloomberg's global infrastructure Design and implement scalable, fault tolerant systems with a focus on observability, performance, and automation Collaborate across engineering teams to introduce automated, self service operational workflows Conduct deep systems analysis and root cause investigations for complex, distributed systems Propose and prototype innovative approaches to reliability and risk mitigation Contribute to design docs, runbooks, and post incident reviews-clear communication is part of the job You'll Need to Have A degree in Computer Science, Engineering, Mathematics, or equivalent practical experience Strong software engineering skills in any high-level language (we mainly use Python and C++) A deep understanding of software system reliability and risk management-including how to identify potential points of failure and design mitigation strategies. A good understanding of data structures, algorithms, and system design Experience navigating and improving large, distributed codebases An ability to identify system risks and engineer around points of failure Clear written and verbal communication, including technical documentation and incident analysis We'd Love to See We are building a team with a breadth of expertise and value depth in any of the following areas: Systems Knowledge: A strong grasp of operating systems, fundamental networking protocols (TCP, UDP, multicast), or core database concepts as they apply to modern infrastructure. Cluster Management: Experience with deployments, staging, and configuration management. Direct experience with Argo and/or Kubernetes or other Pipeline Management Platforms is a significant advantage. Machine Management at Scale: Experience with capacity planning and automating the lifecycle of large machine fleets. System Observability and Monitoring: Deep understanding of SLIs/SLOs/SLAs, alerting, and building dashboards for complex systems. Reliability in Distributed Systems: Knowledge of fault tolerance and the unique challenges of network and node failure in distributed environments. Mentoring: Proven experience mentoring and growing junior Engineers Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

Job Title: Senior Backend Engineer Location: Dunton Essex - 4 days minimum mandatory onsite Rate: £67.15ph Umbrella Co Basis (Inside IR35) Employment Type: Contract (31.12.26) Hours: Standard 37.5 Hours Per Week Reference: F56475 The Senior Backend Engineer plays a pivotal role in driving the technical success in our backend teams. This position involves architecting scalable, resilient, and secure backend solutions and overseeing the technical completion of critical development tasks, often in ambiguous situations. The Senior Backend Engineer is responsible for ensuring that backend code and architectural reviews are aligned with organisational goals, facilitating productive technical discussions, and making decisions to resolve complex backend engineering issues effectively. In this role, the Senior Backend Engineer supports the technical direction for backend development, offering guidance to team members and exemplifying technical excellence in backend practices. Collaboration with frontend, DevOps, and other engineering teams is essential to ensure technical alignment across the organisation. The role also involves leading efforts to implement process improvements within backend development workflows, thereby enhancing productivity and output quality through innovation and collaboration. Strong expertise in backend programming languages (e.g., Java, Python, Go, Node.js) is essential, alongside responsibility for creating and reviewing technical designs for complex backend systems that meet both business goals and technical feasibility. Managing relationships with key stakeholders, balancing their needs with technical constraints, and facilitating open technical communication are also crucial aspects of this role. Skills Required: Extensive multi-year engineering experience specialising in designing, developing, and maintaining robust backend systems and services. Deep expertise in version control systems (e.g., Git/GitHub) and CI/CD tools (e.g., Cloudbuild), including defining and optimising pipelines for backend deployments. Proven proficiency with cloud platforms, particularly GCP, including experience with infrastructure as code and cloud-native services. Demonstrated leadership and practical experience in architectural practices, including designing scalable, resilient, and secure backend solutions. Customer-focused with a strong commitment to team collaboration and driving successful outcomes. Strong drive for delivering high-quality, performant, and value-added results. Demonstrated commitment to quality assurance and adherence to delivery timelines. Ability to autonomously manage multiple complex assignments with minimal direction, providing guidance to junior team members. Ability to thrive and contribute effectively within a highly regulated, financial environment. Willingness to be flexible in terms of tasks and timings to meet project demands. Significant experience performing and leading development reviews, ensuring code quality, maintainability, and adherence to best practices. Expertise in Test Driven Development (TDD) and Behaviour Driven Development (BDD) methodologies for backend services. Strong appreciation and practical application of architectural standards and processes essential in large-scale organisations. Java Spring Boot JUnit GCP (Google Cloud Platform) GitHub / Jetbrains products (e.g., IntelliJ IDEA) Fossa (or similar open-source licence compliance tools) SonarQube (or similar code quality analysis tools) Checkmarx (or similar static application security testing tools) Cycode (or similar software supply chain security platforms) Skills preferred: Automotive finance or consumer lending background Experience with regulatory compliance requirements (FCA, PRA guidelines) Knowledge automotive manufacturer finance operations Education Required: STEM degree (Mathematics, Statistics, Computer Science, Engineering) or equivalent experience Additional Information: The preference on main programming language would be Java but open to languages such as python, go, .net. Specific language is not essential but good experience in backend technologies is. Preference for being able to work in a highly regulated environment, automotive finance experience would be a bonus but not a requirement. Inside IR35 Minimum 4 days a week in Dunton Office No terminology within this advert is intended to unlawfully discriminate on the grounds of age, sex, race or disability and we welcome all applications. Our Clients are unable to provide sponsorship for Tier 2 General Visas; therefore, only candidates eligible to work in the UK need apply!

A leading financial technology company in London is seeking a Senior Software Engineer for their Application Middleware SRE team. You will be responsible for building resilient systems and improving reliability across critical infrastructure. Ideal candidates should have a degree in Computer Science or related fields, strong proficiency in Python and C++, and experience with large distributed systems. This role offers a chance to work on innovative solutions impacting global connectivity.

A leading tech solutions provider in Dunton is seeking a Senior Backend Engineer to drive technical success in backend teams. This role requires extensive experience in designing resilient backend solutions using languages such as Java, Python, and GCP. The candidate will collaborate with cross-functional teams and lead architectural practices while ensuring code quality and adherence to best practices. This contract position offers a competitive rate and requires a commitment to onsite work at least four days a week.

Senior Front-End Developer (React, TypeScript) - VP, FX Options Pricing Senior Front-End Developer (React, TypeScript) - VP, FX Options Pricing Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. The Opportunity We are seeking a highly skilled and motivated Senior Front-End Developer to join a critical greenfield program focused on transforming our electronic FX Options Trading business. This is a multi-year, high-profile project to modernize and scale our platform, offering a unique opportunity for you to make a significant and lasting impact. You will be at the forefront of building the next generation of trading technology. What You'll Do Design and Build:Take a leading role in the design and development of a state-of-the-art electronic FX Options Trading Platform. Your focus areas will include: RFQ (Request for Quote) workflows for clients and sales-to-trader interactions. Real-time, streaming pricing engines and displays. Volatility Surface and other complex market data management tools. A comprehensive workbench for Structured Product Pricing. Collaborate:Work in a tight-knit, global team alongside developers, quants, and traders to translate complex business requirements into robust, elegant technical solutions. Innovate:Leverage your deep expertise in TypeScript and React to build high-performance, scalable, and intuitive web UIs that provide an exceptional user experience. Improve:Champion and contribute to the continuous improvement of our development, deployment (CI/CD), and testing processes to ensure quality and efficiency. Mentor:Share your knowledge, guide, and mentor other developers, fostering a collaborative and innovative team culture where everyone can grow. Essential Skills & Experience Front-End Expertise:Advanced, hands-on experience in UI/UX development usingReact and TypeScript. (Professional experience with Angular or Vue.js would also be considered). Inter-Application Communication:Solid understanding of building applications that handle real-time data, using technologies likeREST APIs, WebSockets, or middleware (e.g., Solace, Kafka, TIBCO). Engineering Excellence:Proficiency in modern software engineering practices, includingCI/CD, automated testing, application resiliency, performance profiling, and telemetry. Desirable Skills (Nice to Have) Interest or experience in leveraging agentic AI development tools to accelerate and improve workflows (e.g., GitHub Copilot, Cursor, Devin). Familiarity with desktop container frameworks such asOpenFinor interoperability libraries. Back-end development experience inJava, C#/.NET, or Python. Knowledge of containerization and orchestration withKubernetes. While prior experience in finance is a plus, a strong passion for technology and complex problem-solving is what truly matters. Our Culture Agile & Collaborative:We thrive in a dynamic environment that values curiosity, ownership, and a drive for continuous improvement. Transparent Communication:We believe in challenging ideas respectfully and maintaining open, honest communication across all levels of the team. Iterative Delivery:We focus on delivering high-quality, impactful solutions iteratively, learning and adapting as we go. What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Visit our About Us Culture, Values & Benefits page to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.

Meroka is building the infrastructure for independent medicine in the United States. Independent physician practices deliver extraordinary care but operate in a fragmented system with opaque pricing, complex administration, and limited negotiating power with large insurers. We are building the data, software, and operational infrastructure that allows independent practices to thrive. At the core of this effort is a large healthcare data platform that aggregates many different data sources into a unified system. This includes public datasets, operational practice data, regulatory information, pricing signals, and quality metrics. On top of this foundation, we are building a direct contracting marketplace where: Independent physician practices can set transparent prices for procedures Employers can evaluate providers based on price and quality Contracts and transactions occur directly between employers and providers The goal is simple: lower costs for employers while improving reimbursement and autonomy for independent practices. We believe in clear communication, practical systems, thoughtful design, and long term thinking. Our tone is warm, grounded, and confident but never corporate or clinical. You want to focus purely on AI model research rather than building production systems You prefer working on isolated technical problems rather than integrating complex real world systems You are uncomfortable working with messy real world datasets that require structuring and normalization You want highly rigid specifications rather than working iteratively with product, operations, and leadership You avoid industries where compliance, auditability, and real operational impact are critical What You'll Do Build backend systems that ingest, structure, and manage large healthcare datasets from many sources Design and maintain data pipelines that normalize and unify complex healthcare data Develop APIs and services that power Meroka's internal tools and marketplace infrastructure Build systems that generate pricing intelligence and provider insights from large datasets Help design and implement quality scoring and benchmarking frameworks for independent practices Contribute to backend systems supporting employer and provider transactions on the Meroka marketplace Develop AI assisted tools that help structure data, automate workflows, and generate operational insights Work closely with product, operations, and leadership to translate real world healthcare problems into software systems Design systems with reliability, transparency, and auditability from the start Take ownership of backend architecture that will support the long term growth of the platform Has 3 or more years of experience in software engineering, ideally with a backend or data infrastructure focus Is comfortable working with large structured and unstructured datasets Has experience building data pipelines, APIs, and integration layers Brings strong programming skills in Python, TypeScript, or similar languages Has experience working with LLMs or AI orchestration frameworks Understands how to build systems with reliability, transparency, and auditability Can collaborate closely with non technical teams to translate operational workflows into software systems Thrives in early stage environments where ownership, speed, and clarity are essential What We Offer Competitive compensation and health benefits We love building together and this role would be based in London face-to-face with the team The opportunity to help build one of the most useful healthcare data platforms supporting independent physician practices Ownership of core infrastructure that powers pricing intelligence and marketplace transactions A thoughtful, ambitious team that values pragmatism, clarity, and long term thinking This role is based in London and part of a distributed engineering team across London, Montréal, Ottawa, and Vancouver. The team currently is growing as Meroka expands its data platform and marketplace capabilities. Occasional travel to the United States or Canada may occur for team collaboration or product initiatives. How to Apply Send us your CV and examples of systems you have built. Bonus points if you include a short Loom video walking us through a project where you: built a data pipeline unified multiple datasets into a usable system automated a complex operational workflow

A healthcare technology company is seeking a software engineer to build backend systems for managing large healthcare datasets and developing APIs for its marketplace. The ideal candidate will have over 3 years of experience in software engineering, strong programming skills in Python or TypeScript, and an ability to work with complex data. Joining this innovative team offers competitive compensation and health benefits while contributing to a vital healthcare data platform.

As a Software Engineer II, you will join our London-based engineering team, contributing to the design, development, and delivery of Java, Python and TypeScript-based blockchain applications. Working alongside experienced engineers with decades of Markets expertise, you'll build production-grade blockchain services, learn cutting-edge DLT technologies, and help transform the financial ecosystem from the inside. This role offers the opportunity to grow your skills in blockchain and distributed systems while working on high-impact projects with direct visibility to business leaders across the industry's leading markets business. Markets Digital Assets focuses on designing and building production-grade solutions leveraging Blockchain and Distributed Ledger Technologies (DLT) to transform JPMorgan's CIB Markets business. We partner closely with Front Office, Product, Operations, and core platform teams to deliver secure, scalable, and compliant digital asset capabilities across our private blockchain network, Kinexys Digital Assets, and public blockchains. Job Responsibilities Develop scalable, secure services using Java Spring Boot, TypeScript/NestJS, ReactJS, and Python Contribute to end-to-end delivery: implementation, testing, CI/CD, deployment, and production support Write clean, maintainable code and participate in code reviews to uphold engineering standards for quality, observability, and performance Collaborate with Front Office, Product, Operations, and platform teams to build and deliver transformative DLT use cases Learn and apply blockchain technologies in a full-stack DApps build environment across private and public blockchains Work with enterprise development toolchains including Git, Jenkins, and CI/CD pipelines Engage with senior engineers and architects to understand distributed systems design and best practices Participate in team knowledge-sharing, hackathons, and experimentation with emerging technologies Contribute to the team's technical output and help advocate for DLT within the firm Required qualifications, capabilities and skills Hands on software engineering experience with Java Spring Boot/Python or similar modern backend frameworks Understanding of software development fundamentals: data structures, algorithms, object oriented design Experience with version control (Git) and working in collaborative development environments Eagerness to learn distributed systems, blockchain technologies, and cloud native architectures Strong problem solving skills and ability to work effectively in a team Excellent communication and collaboration skills; comfort working with diverse stakeholder groups Familiarity with CI/CD pipelines, automated testing, and DevOps practices Interest in or exposure to blockchain and Distributed Ledger Technologies (DLT) Preferred qualifications, capabilities and skills Familiarity with TypeScript, JavaScript, or front end development (ReactJS or similar frameworks) Experience building on public or permissioned blockchain platforms (e.g., Solana, Ethereum/EVM, Hyperledger, Polkadot, Cosmos, Avalanche, Canton) Understanding of cryptographic protocols, smart contracts, or key management Experience with AWS services and cloud native architectures Interest in front office or trade processing environments within financial services