Trabajos computer coding en LondonCrear alertas

Job Title: AI Engineer Location: Remote / Onsite / Hybrid Job Type: Full-time / Contract About the Role We are seeking an experienced and forward-thinking AI Lead Engineer to join our AI Ops delivery team. In this role, you will lead the design, development, and delivery of GenAI-powered agentic systems that automate complex business processes across domains such as HR, Payroll, SAP, and Client Delivery. You’ll serve as the technical lead within a Business/Core Pod, responsible for mentoring engineers, shaping solution architectures, and ensuring delivery excellence. This role combines deep hands-on engineering with architectural ownership and close collaboration with product managers and domain experts. Key Responsibilities • Own the technical design and architecture of GenAI agent workflows within the Business Pod, • Serve as a hands-on developer, actively contributing to the design, coding, and delivery of production-grade agents and tools, • Lead code and design reviews, ensuring alignment with architectural standards and platform best practices, • Collaborate with the AI Ops Core Pod to adopt and influence reusable assets, frameworks, and integration patterns, • Design and implement LLM-powered agent workflows using frameworks such as LangChain, LangGraph, or CrewAI, • Develop prompt chains, agent tools, and custom modules that support reasoning, summarization, and multi-step task execution, • Integrate agents with enterprise systems (e.g., Workday, SAP, Salesforce) via REST APIs, SDKs, or message queues, • Build and manage agent lifecycle components, including initialization, memory/state handling, and fallback logic, • Implement and consume vector store integrations, prompt templates, and retrieval-augmented generation (RAG) techniques, • Ensure workflows are robust, secure, and observable, with proper logging, monitoring, and exception handling, • Partner with Product Managers, SMEs, and QA to translate business processes into agentic workflows and iterate based on feedback, • Contribute to the automation of testing, deployment, and validation pipelines for AI agents, • Maintain thorough documentation of agent behavior, design decisions, and integration logic for operational readiness and knowledge transfer Preferred Qualifications • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field, • 4+ years of experience in developing and deploying production-grade AI/ML or automation solutions, • Strong proficiency in Python, with hands-on experience using FastAPI, REST APIs, and background task orchestration, • Deep familiarity with agentic frameworks such as LangChain, LangGraph, CrewAI, ReAct, or similar, • Understanding of LLM orchestration, including prompt design, tool usage, context management, and agent memory, • Experience integrating with enterprise systems via APIs, event/message queues (e.g., Kafka, Service Bus), and webhooks, • Solid foundation in distributed system design, including state management, retries, error handling, and resilience, • Experience with business process automation or workflow automation in real-world environments, • Comfortable working with SQL/NoSQL databases, including data modeling and validation, • Knowledge of containerization (Docker), orchestration platforms (Kubernetes), and deployment to cloud platforms (Azure, AWS, or GCP), • Understanding of security concepts including authentication (OAuth2), authorization, and secure API integration, • Exposure to multi-agent patterns (e.g., supervisor-worker, planner-executor, judge-critic) is a strong plus Nice to Have • Contributions to open-source agent frameworks or AI tooling., • Experience working with observability and monitoring tools to track agent performance., • Exposure to knowledge graphs, memory management systems, or retrieval-augmented generation (RAG) pipelines.

Job Title: Front End Engineer - AI Location: Remote / Onsite / Hybrid Job Type: Full-time / Contract About the Role We are seeking an experienced and forward-thinking Front End Engineer to join our AI Ops delivery team. In this role, you will lead the design, development, and delivery of GenAI-powered agentic systems that automate complex business processes across domains such as HR, Payroll, SAP, and Client Delivery. You’ll serve as the technical lead within a Business/Core Pod, responsible for mentoring engineers, shaping solution architectures, and ensuring delivery excellence. This role combines deep hands-on engineering with architectural ownership and close collaboration with product managers and domain experts. Key Responsibilities • Own the technical design and architecture of GenAI agent workflows within the Business Pod, • Serve as a hands-on developer, actively contributing to the design, coding, and delivery of production-grade agents and tools, • Lead code and design reviews, ensuring alignment with architectural standards and platform best practices, • Collaborate with the AI Ops Core Pod to adopt and influence reusable assets, frameworks, and integration patterns, • Design and implement LLM-powered agent workflows using frameworks such as LangChain, LangGraph, or CrewAI, • Develop prompt chains, agent tools, and custom modules that support reasoning, summarization, and multi-step task execution, • Integrate agents with enterprise systems (e.g., Workday, SAP, Salesforce) via REST APIs, SDKs, or message queues, • Build and manage agent lifecycle components, including initialization, memory/state handling, and fallback logic, • Implement and consume vector store integrations, prompt templates, and retrieval-augmented generation (RAG) techniques, • Ensure workflows are robust, secure, and observable, with proper logging, monitoring, and exception handling, • Partner with Product Managers, SMEs, and QA to translate business processes into agentic workflows and iterate based on feedback, • Contribute to the automation of testing, deployment, and validation pipelines for AI agents, • Maintain thorough documentation of agent behavior, design decisions, and integration logic for operational readiness and knowledge transfer Preferred Qualifications • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field, • 4+ years of experience in developing and deploying production-grade AI/ML or automation solutions, • Strong proficiency in Python, with hands-on experience using FastAPI, REST APIs, and background task orchestration, • Deep familiarity with agentic frameworks such as LangChain, LangGraph, CrewAI, ReAct, or similar, • Understanding of LLM orchestration, including prompt design, tool usage, context management, and agent memory, • Experience integrating with enterprise systems via APIs, event/message queues (e.g., Kafka, Service Bus), and webhooks, • Solid foundation in distributed system design, including state management, retries, error handling, and resilience, • Experience with business process automation or workflow automation in real-world environments, • Comfortable working with SQL/NoSQL databases, including data modeling and validation, • Knowledge of containerization (Docker), orchestration platforms (Kubernetes), and deployment to cloud platforms (Azure, AWS, or GCP), • Understanding of security concepts including authentication (OAuth2), authorization, and secure API integration, • Exposure to multi-agent patterns (e.g., supervisor-worker, planner-executor, judge-critic) is a strong plus Nice to Have • Contributions to open-source agent frameworks or AI tooling., • Experience working with observability and monitoring tools to track agent performance., • Exposure to knowledge graphs, memory management systems, or retrieval-augmented generation (RAG) pipelines.

Quantitative Portfolio Manager - Macro, Futures and Cash Equities Trading My client is a multi-manager hedge fund which covers intraday and mid-frequency trading strategies across liquid markets. The firm is currently looking for PMs trading intraday/mid frequency strategies in Equities or cross-asset Futures to set up teams in New York, London, Singapore or Hong Kong. They have a mandate for Quant PMs or Quant Traders with a track record of researching, deploying and managing strategies with Sharpe ratios above 2 to set up teams in return for a significant risk allocation with strong guaranteed compensation, and PnL % payouts once trading goes live. Successful candidates will have experience with researching, developing and monitoring strategies, and will be skilled in programming languages such as Python and C++. The Role: • Plug into the fund's existing PM platform, • Designing, backtesting, and deploying trading strategies, monitoring and and optimising them over time., • Managing a book and targeting Sharpes of 2+. Requirements: • A Master or PhD level degree from a prestigious university in a numerate field. Previous successful candidates have degrees in Engineering, Physics, Mathematics, Computer Science, etc., • Coding proficiency in Python, additional experience with C/C++ is preferred., • Prior experience as a Quantitative Trader or sub-PM/PM, where you researched strategies and managed a book.

To apply, please send the following to hive.recruitment@towerbrook.com • Your resume / CV, • A short blurb introducing yourself and explaining why you are a good fit for the Hive, and confirming which location your're applying to (New York or London). Keep it short & real, no need for a fancy cover letter!, • Links to anything cool you’ve built with AI for work, school, or even just on your own time Position Overview The AI Hive is TowerBrook’s new fellowship for applied AI builders. This is not an analyst program and it is not a consulting role. Fellows do not produce slides about what AI could do. Fellows train intensively inside TowerBrook for six months, with the opportunity to progress into a twelve-month embed inside one of our portfolio companies as an Applied AI Engineer, working directly with CEOs and operating teams to ship AI-native solutions that move real numbers. The fellowship runs in two phases. In Phase 1 (six months), fellows are based at TowerBrook in New York or London, training with leading external AI partners and shipping high-priority internal projects across the firm. Fellows who excel in Phase 1 are considered for Phase 2 (twelve months): a full-time, onsite embed inside a TowerBrook portfolio company, working in person alongside the management team and reporting to the CEO, CTO, or Head of AI, and delivering milestone-based work with measured business outcomes. Fellows in this first cohort will have a unique opportunity to shape how TowerBrook builds and deploys AI talent across the portfolio Responsibilities Phase 1. Inside TowerBrook (Months 1 to 6) • Complete a three-week intensive training program with a leading AI-native training partner, covering prompt engineering, agent architecture, Claude Code and other coding assistants, workflow automation (n8n, Lovable), Python, and enterprise AI governance., • Pair with internal devs and senior engineers from best-in-class applied AI firms on live TowerBrook projects, shipping working prototypes within the first six weeks., • Lead at least two internal builds with named senior sponsors as business owners. Projects may span front, middle, or back office (investment teams, operations, finance, IR, compliance, knowledge management) depending on firm priority. Deliver shipped output, not recommendations., • Contribute to the shared Hive knowledge base (reusable agents, templates, playbooks) that compounds across future cohorts. Phase 2. Portfolio Company Assignment (Months 7 to 18) • Match into a portfolio company across TowerBrook verticals based on fit, and relocate as needed to work onsite at the company’s primary office for the duration of the twelve-month embed. Matching is jointly led by the Program Lead, the senior program sponsor, and TowerBrook’s Technology Operating Partners., • Run a four-week diagnostic sprint: map workflows, validate pain points, and produce a twelve-month build roadmap signed off by the company CEO and the TCP sponsor., • Execute three to five milestone-based build sprints of eight to twelve weeks, each delivering measured output (hours saved, revenue uplift, cost reduction, new capability shipped)., • Report directly to the company CEO, CTO, or Head of AI, while retaining ongoing connectivity to TowerBrook for the duration of the engagement., • Attend monthly Hive-wide cross-pollination sessions with other fellows and coordinators. Document learnings for the Hive knowledge base., • At the close of the twelve-month deployment, transition into one of four paths: a full-time role at the portfolio company, redeployment to a second company, a role at TowerBrook, or release into the TCP alumni network. Professional Qualifications & Experience • One to three years of post-university experience in a builder role. We read “builder” broadly: software engineering, data, product, operations with automation exposure, quantitative research, consulting with hands-on implementation, or early-stage startups. Candidates with fewer than one year or more than three years of experience are out of scope for the pilot cohort., • A technical or quantitative undergraduate background is welcome: computer science, engineering, physics, applied mathematics, statistics, computational biology, industrial engineering, operations research, information systems, or quantitative economics. We will also consider non-technical majors with visible builder evidence such as a GitHub portfolio, shipped side projects, or published technical writing., • Fluency with modern AI tools. You already use Claude or ChatGPT daily as a core part of your workflow, not as a novelty., • Working proficiency in Python or another scripting language is a plus — enough to prototype end-to-end without supervision is ideal, but not required. Formal ML engineering or data science experience is not required and is not what we are optimizing for., • Demonstrated evidence of shipped work outside a structured environment: a side project, an automation built at a previous role that nobody asked for, a product used by real users, or published writing with an audience. What you built matters more than where you built it., • Right to work in the United States (for New York candidates) or the United Kingdom (for London candidates) is preferred. Visa support may be available for exceptional candidates. Personal Qualifications • Stakeholder presence. At ease working with a company CEO or a TowerBrook partner, approaching business problems with curiosity and humility., • AI-native instinct. You reach for AI tools naturally during ideation and problem solving., • Builder disposition and bias for action. You try things rather than endlessly plan, and you pick up new tools quickly, including things outside your formal training., • Written communication. You can produce a crisp one-pager that a senior partner or a company CFO will actually read. Compensation & Benefits of working at TowerBrook • Private medical insurance, • Pension scheme with employer contribution, • Intensive applied AI training with a curated set of leading external partners across AI-native education and applied engineering, • Direct mentorship from senior TowerBrook partners, Technology Operating Partners, and portfolio company CEOs, • Guest seminar program featuring frontier AI lab teams, applied AI practitioners, and high-signal technical writers, • Clear post-fellowship pathways: full-time hire at the portfolio company, full-time role at TowerBrook (Applied Engineer, investment associate, or Hive coordinator), redeployment to a second portfolio company, or release into the TCP alumni network, • Access to cutting-edge AI tooling and early-access relationships with leading AI labs through TowerBrook’s partner networks, • A collaborative, entrepreneurial culture within a globally respected investment firm https://www.towerbrook.com/privacy-policy/

Lead Data Scientist Up to £125,000 London (Hybrid, 2-3 days onsite per week) Company: This private equity and investment start-up are focused on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: • Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn, • Evaluate and optimise all models, identifying areas for development, • Work end-to-end both building and deploying models, • Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements, • Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business value., • Remaining technically very hands on whilst mentoring Requirements: • MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields., • Strong coding skills in Python and SQL, • Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.

London, UK: Travel May be required We are seeking an exceptional and highly experienced Product Engineering Lead in our Global Technology Practice to spearhead our technical development efforts within a fast-paced, agile environment. This is a critical leadership role for an individual who deeply understands both the technical intricacies of product development and the strategic imperative of bringing high-quality products to market quickly and effectively. You will be instrumental in guiding our engineering team, driving technical excellence, fostering innovation, and ensuring the successful launch and iteration of our products. Your role will involve • Technical Vision & Strategy: Partner closely with Product Management, Design, and other stakeholders to define and translate product strategy into a clear, actionable technical roadmap. Architect scalable, robust, and performant solutions., • Launch & Delivery Ownership: Lead and manage the end-to-end technical execution of product features and new products, from conception through design, development, testing, deployment, and post-launch support. Ensure successful and timely product launches in a highly dynamic environment., • Engineering Team Leadership & Mentorship: Lead, inspire, and mentor a team of talented engineers. Foster a culture of technical excellence, accountability, continuous improvement, and collaboration. Conduct code reviews, provide constructive feedback, and support individual growth., • Technical Excellence & Best Practices: Champion best practices in software development, including design patterns, coding standards, testing methodologies, build processes, and deployment automation. Drive architectural decisions and ensure the overall health and scalability of our systems., • Cross-Functional Collaboration: Serve as a key technical liaison for Product Managers, Designers, QA, and other departments. Effectively communicate technical constraints, opportunities, and progress to both technical and non-technical audiences., • Problem Solving & Innovation: Tackle complex technical challenges with innovative and pragmatic solutions. Stay abreast of industry trends and emerging technologies, advocating for their adoption when beneficial. Your transferable skills and experience: • 10+ years of progressive experience in software engineering, with at least 3-5 years in a lead or management role overseeing product development teams., • A strong track record of successfully launching multiple complex products or features in a fast-paced, highly dynamic environment, from ideation to post-launch optimization., • Proven ability to lead, mentor, and motivate engineering teams, fostering a high-performance culture., • Exceptional understanding of the full software development lifecycle and agile methodologies., • Strong architectural design skills and experience building scalable (vertical and horizontal), fault tolerant, and secure applications., • Excellent communication, interpersonal, and stakeholder management skills, with the ability to articulate technical concepts to non-technical audiences., • Demonstrated ability to make sound technical decisions under pressure and effectively manage technical debt., • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing. Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job The goal of a Technical Product Manager is to bridge the gap between technical capabilities and business objectives, focusing on the technical aspects of product development. They work closely with engineering teams to define product roadmaps, prioritize features based on market research and customer needs, and ensure the successful delivery of technical products and services. In doing so, they manage the product vision, identify and mitigate potential risks, and maintain alignment with overall business requirements. The challenge: In this role, you will lead the vision, strategy, and execution of Local AI applications designed to empower users with on-device, privacy-preserving AI capabilities. These applications will integrate seamlessly with Tether’s P2P ecosystem, enabling decentralized, efficient, and secure AI experiences across devices. We’re seeking an experienced Senior Product Manager/ Technical Product Manager with a strong bias for action and measurable outcomes, who combines deep expertise in AI technologies, edge computing, and user-centric design with the drive to innovate in the emerging space of local and distributed AI. This is a great opportunity for an experienced product leader: • With a strong product-led growth mindset who wants to take their career to the next level, moving from partial ownership to controlling the building, scaling, and success of new QVAC Local AI apps., • With experience in AI apps that goes beyond consumer level, into the core of how on-device AI systems function, including privacy and performance considerations., • Who understands the intricacies of software and hardware to the extent that they can actively engage with highly-technical stakeholders., • A team leader who has had close contact with operations and feels capable of setting up, organizing, and scaling teams from scratch across all facets of app development., • A high-agency individual who can actively set internal and external goals, team culture, and liaise effectively and directly with executive management and other departments to achieve them. Responsibilities • Product Vision & Strategy: Define and champion a long-term vision for Local AI apps, aligning with company objectives, user privacy ethos, and industry trends in on-device AI to maintain a competitive edge., • Ownership and Leadership: Develop and manage comprehensive product roadmaps, prioritizing features and enhancements, partnering with engineering, design, and cross-functional teams for successful launches., • User-Centric Focus: Engage with users, developers, and researchers to identify market opportunities, maximize value, and deliver seamless, intuitive experiences in local AI environments., • Feature Expertise: Lead the ideation, prioritization, and definition of features for Local AI apps, ensuring they leverage on-device processing for efficiency, security, and personalization., • Design and Wireframing: Create comprehensive, interactive prototypes/mockups to communicate design concepts, enabling designers to refine and implement polished UX/UI., • Stakeholder Communication: Build relationships with executives, engineers, partners, and industry influencers to foster strategic alliances, gather feedback, and advocate for the apps., • Go-To-Market: Autonomy to build and own launch plans, collaborating with expansion and marketing teams to operationalize strategies that position the Local AI apps as valuable solutions in P2P and fintech ecosystems, • Performance Tracking: Define and monitor KPIs related to app engagement, user satisfaction, privacy compliance, and performance efficiency to ensure optimized product success. Requirements • 8+ years of product management experience, with at least 3+ years managing AI-powered applications, including past work on AI based apps, preferably Local AI., • Drive fast, agile, and flexible solutions to deliver business outcomes with precision and adaptability., • Strong technical understanding of AI/ML concepts, such as on-device inference, model optimization, edge computing, and privacy-preserving techniques, without requiring hands-on coding., • Expertise in feature design, prioritization, and roadmap development for AI products, with a proven track record of delivering user-focused features., • Demonstrated excellence in stakeholder communication, including presenting complex ideas clearly, negotiating priorities, and building consensus in dynamic environments., • Ability to develop comprehensive, interactive mockups using tools like Cursor or Claude Code, without necessarily knowing how to code, to bridge concepts between stakeholders and design teams., • Familiarity with agile/Scrum methodologies, product analytics tools, and user research techniques., • Proven track-record of successful product launches in AI or tech spaces., • Exceptional leadership, communication, prioritization, and team-building skills., • Degree in Business, Computer Science, Engineering, or a closely related field., • Skilled in defining, tracking, and reporting on product KPIs to measure success.

Graduate Data Consultant. London (Hybrid) Graduate Scheme Data & AI Salary: £24,500 during training, increasing to £32,250 within your first 6 months on client projects, and up to £45,000 within 24 months. Translate your degree into a high-growth career in Data, Analytics & AI. We’re partnering with an award-winning data consultancy that hires graduates and transforms them into world-class consultants working with leading UK brands. No prior coding background required.No Computer Science degree needed. Why join: You’ll start with a fully salaried 15-week training programme delivered by industry experts, followed by deployment onto real client projects.From day one, you’re building real skills, real experience, and a real career. What you’ll get: Paid 15-week Data & AI training (hybrid, London-based)Hands-on client projects after training. Ongoing coaching, mentorship & performance supportFast-track progression with salary reviews every 6 months. Earn £60k+ within two years if hitting targets. Opportunity to work in the US after two yearsOption to join your client permanently. Free industry certificationsInclusive benefits (mental health support, online GP, free therapy sessions, discounts, social clubs, and more) What you’ll be doing: Depending on project, you’ll work across:Data AnalyticsBusiness IntelligenceData EngineeringAI & Machine Learning. You’ll help businesses: Analyse large datasetsBuild dashboards and reportsAutomate processesCreate insight that drives decisions Tech you’ll be exposed to includes: Python | SQL | Power BI | Tableau | Excel | Cloud Platforms (No experience required all training provided.)

Responsibilities • Engineering Standards: Define and enforce Java and Node.js coding standards across the engineering team, with a strong emphasis on robust exception handling, binary stream processing, structured logging using Application Insights, and security‑first development practices., • Cloud‑Native Readiness: Ensure all application logic is designed for containerisation from inception. This includes implementing reliable health check endpoints, secure secret management using Azure Key Vault, correct port configuration for Container Apps, and stateless architecture aligned with Azure Container Apps (ACA) principles., • Technical Mentorship: Provide hands-on mentorship to junior and mid-level developers by identifying code-level technical debt, leading structured code reviews, and fostering a culture of engineering excellence that proactively prevents recurring quality issues such as misconfigured or corrupted deployments., • Architectural Liaison: Collaborate closely with the Principal Architect to translate High‑Level Designs (HLDs) into production-ready implementation plans. Ensure the development team understands not only what to build, but why architectural decisions were made and which constraints must be observed., • Quality Assurance: Advocate for and uphold a strong automated testing culture, including unit, integration, and contract tests, to minimise regressions and ensure deployments are stable and verifiable prior to production release. The Ideal Candidate • Experience: 10+ years of professional Java development experience, with proven production ownership of Spring Boot–based microservices architectures., • Azure Integration: Demonstrated experience building applications that integrate with Azure-native services, including Azure Key Vault for secrets management, Azure Storage APIs, and Azure Service Bus for event-driven messaging., • DevOps Mindset: Solid understanding of the end‑to‑end CI/CD lifecycle, with the ability to read, review, and contribute to Dockerfiles and GitHub Actions workflows as a developer who understands the delivery pipeline their code passes through., • API Mastery: Deep expertise in RESTful API design, OAuth2 authentication flows (including FusionAuth integration), and DMARC-compliant transactional email delivery using SendGrid., • Testing Discipline: A strong, non‑negotiable commitment to automated unit and integration testing, with the ability to define and promote testing standards that can be adopted and maintained consistently across the wider team., • Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or equivalent practical experience. Relevant Microsoft Azure developer certifications are considered an advantage.

Compensation: Top of the market in HFT Summary Now crypto is booming again, this HFT fund is looking to double in size its crypto trading team. Looking for a hybrid quant/dev, skilled in Python or C++, who can excel in the fast-paced, rapidly changing world of cryptocurrency. Unique in their field, they have the lively, positive spirit of a start-up with the stability of a longer-established player. They hire exceptional talent in Maths, Physics and Computer Science, from across the trading, tech and start-up industries, to apply cutting-edge research to global financial markets. In this role, you will be directly responsible for advancing the team's trading footprint. Your work will include building and optimizing trading strategies; researching new protocols and datasources; designing and improving our research and trading systems; and collaborating with team members and others to advance the team's dual mission of being the top crypto trader in the world and a major contributor in the crypto ecosystem. The successful Quant Dev will appreciate cleanly architected systems and is willing to do the dirty work to ensure team standards are raised. They will also make decisions to optimize the team's productivity, going the long way round if it helps make the code more scalable and robust. Very open to seeing devs who mid-long term are keen on relocating to Singapore. *Remote interviews are still possible, but all starts are now onsite and only if it specifies clearly is this role available fully remotely.* Requirements • At least 1+ year of programming experience in Python or C++, • Exceptional programmer, with high personal coding standards, • Strong understanding of Unix and git, • Ability to drive long-term projects independently and creatively, • Bonus points for experience with distributed systems and/or an interest in open-source software, • Exposure to (or an interest in) cryptocurrencies is a big plus NB: Please do not apply if you are a fresh graduate. Benefits • Competitive base salary & bonus, • They're willing to be flexible with WFH, • Enormous opportunity to grow, learn and have an impact, • Contributions are rewarded; career progression supported, • Unique culture where you can fulfil your potential through collaboration and mutual respect Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful. Contact If this sounds like you, or you'd like to know more, please get in touch. Andy Stirling-Martin andy@oxfordknight.co.uk 020 3137 9579 linkedin.com/in/andrew-stirling-martin-7664a946

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion. For more information on how we process your personal data, please refer to HCLTech’ s _. Must Have – Java, Low-latency, financial services background, and hands on coding skills "Our app relies heavily on async development, we use vertex. it takes significant time to switch perspective. And to lead he need to already have significant intuition with that, and some modern messaging like Aeron or ZeroMQ." DETAILED RESPONSIBILITIES- • Lead the development, testing, and maintenance of low-latency Java applications., • Collaborate with cross-functional teams to gather requirements and design system architecture., • Optimize application performance and troubleshoot latency issues., • Mentor junior developers and ensure adherence to best coding practices., • Participate in code reviews and provide constructive feedback., • Stay updated with the latest industry trends and integrate relevant technologies into projects. SKILL REQUIREMENTS • Bachelor's degree in Computer Science, Engineering, or a related field., • Proven experience in Java development, with a focus on low-latency systems., • Strong understanding of multithreading, concurrency, and performance optimization., • Experience with frameworks and libraries such as Spring, Hibernate, and Netty., • Familiarity with distributed systems and network protocols., • Excellent problem-solving skills and attention to detail., • Effective communication and leadership skills. OTHER REQUIREMENTS (OPTIONAL) • Knowledge of financial services technology and trading systems., • Experience with cloud platforms such as AWS or Azure., • Familiarity with containerization tools like Docker and Kubernetes.

1. Support Global AI Client Acquisition: Assist the team in scaling outreach to global AI clients—including AI-native startups, ISVs, AI data providers, and enterprises undergoing AI transformation—to help build a high-conversion sales pipeline through lead research, client profiling, and outreach support., 2. AI Sales Process Support: Support the full lifecycle of AI MaaS opportunities in international markets—from lead collection and qualification to client communication and deal progression—working alongside solution and product teams to drive token consumption and revenue growth., 3. Market Research & GTM Strategy Support: Track GenAI trends including foundation model evolution, agent frameworks, AI infrastructure, and competitor dynamics; assist with market research, analysis, and GTM strategy development., 4. AI Client Relationship Support: Assist the team in communicating with technical decision-makers and business leads at global AI-focused companies; participate in client visits and meetings to help drive satisfaction and retention., 5. Cross-Functional Collaboration Support: Work with AI solutions, product, and marketing teams on day-to-day activities; assist in planning and executing technical workshops, demos, and campaigns; help prepare marketing materials and organize events. Qualifications 1. Education: Currently pursuing a Bachelor's degree or above in Computer Science, AI, Data Science, Business, Marketing, or related majors., 2. Availability: Minimum 3 days per week on-site, able to commit to at least 3 months of internship., 3. AI Awareness & Interest: -Strong interest in Generative AI, large language models, and AI applications; regularly uses mainstream LLMs (e.g., ChatGPT, Claude, Qwen) and follows industry trends. -Basic understanding of large model and MaaS concepts with initial awareness of AI commercialization; familiarity with prompt engineering or vibe coding is a plus. -Good logical thinking, strong interpersonal and communication skills with the ability to express ideas clearly. Prior internship experience in sales, marketing, or consulting is preferred. 1. Cloud & AI Fundamental Understandings: Basic understanding of cloud computing and AI infrastructure products (e.g., GPU, MaaS, RAG, Agents), or willingness to learn quickly., 2. Mindset: Fast learner, results-driven, self-motivated, and passionate about AI innovation in fast-paced environments., 3. Global Communication: Fluent in English with strong written and verbal communication skills. Overseas study or exchange experience is a plus. Proficiency in Chinese is a plus.

In this role, your primary focus will be on engineering – crafting robust, low-latency, and high-throughput systems that directly drive trading performance. The role demands an elite level of coding ability, especially in C++ , and a deep interest in how software architecture impacts real-world execution. If you’re passionate about clean code, optimization, and pushing the limits of what software can do in production, this is the environment for you. Key Responsibilities • Design, develop, and deploy high-performance C++ code to power algorithmic trading systems., • Optimize latency-critical components through low-level systems programming, performance tuning, and efficient data handling., • Engage in continuous refactoring, testing, and code review to ensure engineering rigor and production stability., • Work across the stack—from network interaction to execution pipelines—and contribute to system-wide performance gains., • Collaborate with a world-class team of engineers and researchers to translate abstract trading ideas into production-grade code., • Stay current with modern hardware, compiler behavior, and systems-level development techniques., • Build and maintain tooling to support automated testing, monitoring, and deployment in a Linux-based environment. What We're Looking For • Degree in Computer Science, Engineering, Physics, or Mathematics (minimum BSc or equivalent) from a red brick University., • Proven experience as a software engineer—whether through professional roles, open-source contributions, or independent projects., • Expert-level programming in C++ (required), with an emphasis on performance, memory management, and concurrency., • Proficiency in at least one scripting language (preferably Python) for tooling and prototyping., • Strong understanding of system internals—compilers, memory models, CPU architecture, and how code translates into hardware behavior., • Familiarity with Linux systems and modern development practices (e.g., CI/CD, TDD, code reviews)., • Interest in algorithm design, data structures, and writing code that is both elegant and efficient., • Clear communicator who can explain technical ideas and collaborate constructively with peers. Why Join • Be part of a deeply technical, tight-knit engineering culture that prioritizes precision, pragmatism, and performance., • Work on greenfield projects that have direct and measurable impact on real-world trading outcomes., • Competitive compensation and the chance to be immersed in a fast-paced environment that rewards technical depth and curiosity. Apply:- Please send a PDF CV to quants@ekafinance.com

Salary: Market-Leading Location: London Summary: A world-class HFT is looking to add a senior engineer with extensive reliability expertise to join their core systems group. The successful candidate will work in a hands-on role in an elite team, coding with Python whilst building and maintaining Linux, networking and other systems architecture. Requirements: • Strong Python programming skill-set, • Solid understanding of Linux operating systems, • Strong computer science fundamentals, • Outstanding communication skills, • Trading firm expertise a bonus Benefits and Incentives: • Work alongside outstanding engineers in an elite, modern technical environment, • Potential for significant upside, • Friendly, collegiate culture, • Hybrid/flexible working options Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Salary: £200k + bonus Summary Not your traditional HFT firm, this company takes a scientific approach to trading financial products. They're looking for a modern C++ engineer to help drive their expansion into the EU, US and APAC markets. A community of self-starters from multiple tech backgrounds - maths, computer science, statistics, physics, engineering - they have built one of the world's most sophisticated computing environments for research and development. This is an extremely high-impact role - contributing to the bottom line from day one. You will work closely with the algo and operations teams, and you will be expected to own the process of entering new markets while managing the continuing & ongoing process of optimizing trading in existing markets. Requirements • Modern C++ (17/20) experience is a must-have, • Familiarity with UNIX operating systems and comfort at a command line, • Exceptional communication skills, including the ability to describe software designs at all technical knowledge levels, • Self-starter, with a passion for coding, tinkering, reading, exploring, breaking things, etc., in your spare time, • Bachelor's degree in Computer Science, Engineering (or related field), • Experience developing market data and order entry systems a plus NB: Please do not apply if you're a fresh graduate. Benefits • Market-leading salary + bonuses + benefits, • They're willing to be flexible with WFH, • Collaborative and friendly environment with smart, highly engaged colleagues, • Culture where everyone's ideas are encouraged and celebrated, • Gain broad exposure to both technical and business aspects of trading Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful. Contact If this sounds like you or you would like to more, please get in touch: Andy Stirling-Martin andy@oxfordknight.co.uk 020 3137 9579 linkedin.com/in/andrew-stirling-martin-7664a946

Role:- This team member will be responsible for the implementation of technology to enable large-scale computational efforts in quantitative research, as well as related efforts, such as the preparation and transformation of data and other operational tasks. This role will work with senior technologists on the design and implementation of systems, and work closely with the quantitative research team to enable their mission You will:- Partner closely with the Senior Portfolio Manager to develop data engineering and prediction tools primarily for the systematic trading of equities Develop software engineering solutions for quantitative research and trading Assist in designing, coding, and maintaining tools for the systematic trading infrastructure of the team Build and maintain robust data pipelines and databases that ingest and transform large amounts of data Develop processes that validate the integrity of the data Implementation and operation of systems to enable quantitative research (i.e. large scale computation and serialization frameworks) Requirements :- Master’s or PhD in Computer Science, Physics, Engineering, Statistics, Applied Mathematics, or related technical field appropriate to a computational background Expert in C++ Advanced programming skills in Python Strong Linux-based development Knowledge of machine learning and statistical techniques and related libraries Experience as a quantitative developer supporting an intraday (or faster) system ( 3 years experience at least) Experience with the development practices of large tech (Google/Meta, etc.) or finance firms Experience with financial data Approx. 3-4 years of professional experience in a computer science/computational role Experience working in a technical environment with DevOps functions (Google Cloud, Airflow, Influx DB, Grafana) Apply:- Please send a PDF CV to quants@ekafinance.com

Salary: up to £200k base + bonus Summary My client is a leading global quant firm looking for a no-nonsense technologist to join one of their growing quant trading teams based in London. This team is one of the most experienced and profitable at the company. Collaborating extensively with traders and other technologists, your main focus will be designing, building, maintaining and testing cutting-edge systems. You'll be exposed to a wide range of technologies and challenging problems involving big data and HPC. Most problems require high-availability, high-throughput and low latency solutions. Technology is prized by the traders as crucial to their continued success. Unique in their field, this global firm combines the lively, positive spirit of a start-up with the stability of a longer-established player. If you're passionate about coding and automation and able to solve difficult technical problems in a fast-paced and energetic environment, this role would be perfect for you. Requirements • Strong knowledge of Python and Linux, • Excellent analytical and problem-solving skills, • Self-directed and able to take ownership of projects and responsibilities, • Minimum bachelor's degree in Computer Science or Computer Engineering (or equivalent) Desirable • Experience working with HPC systems and technologies such as grid clusters, large data processing, etc., • Exposure to C++ or willingness to learn NB: Please don't apply if you are a fresh graduate. Benefits • Competitive base salary & bonus, • Enormous opportunity to grow and have an impact, • Contributions are rewarded; career progression supported, • Free breakfast, lunch and dinner Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful. Contact If this sounds like you or you would like to know more, please get in touch: Andy Stirling-Martin andy@oxfordknight.co.uk 020 3137 9579 linkedin.com/in/andrew-stirling-martin-7664a946

£150,000-200,000 GBP Discretionary end of year bonus Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Machine Learning/Data Science Quantitative Researcher - London/Paris My client is a quantitative hedge fund with offices globally, focusing on systematic trading. Their Quant Researchers develop and monitor strategies covering all liquid markets, including HFT/arbitrage, statistical arbitrage, CTA, Macro and event-driven models. The firm has a mandate for Quantitative Researchers who are specialised in Machine Learning, Deep Learning, Reinforcement Learning, NLP, or Computer Vision. Successful applicants will apply these techniques to analyse datasets and identify trading opportunities, and develop them into monetizable strategies in collaboration with other researchers, developers, and traders. The Role: • Researching and applying Machine Learning and other Data Science techniques to analyse datasets and identify alphas., • You will work closely with other researchers, developers and traders on the development and implementation of these strategies, and monitor their performance over time., • Quantitative Researchers collaborate with each other globally. You will share ideas and work on tools for others to use across the firm, expanding the business and building your own skills.Requirements:, • An academic background with degrees covering numerical fields of study, such as Computer Science, Mathematics, and Quantitative Finance, PhD level degrees are preferred but not required., • Experience/knowledge of finance from academic studies, internships or professional experience., • Coding proficiency in at least on language, successful candidates are typically expert users of Python, and proficient with data science libraries.

Role: Python Software Engineer Location: Remote (anywhere from Europe) Salary: Up to £80k / €90k base + equity We're partnered with a well-funded startup that's building AI agents to automate operations in the consumer goods space. Small team, strong backers, and real traction with customers. The Role As a Python Software Engineer, you'll be designing and building intelligent, autonomous systems that solve real operational problems for growing brands. You'll own solutions end-to-end - from architecture and scoping through to production - working closely with product and engineering leadership. This is a hands-on role with genuine ownership and direct influence over how the product evolves as the company scales. What You'll Be Doing • Designing and building agentic solutions that reason, act, and learn independently, • Owning the full solution lifecycle - architecture, MVP scoping, delivery, and iteration, • Writing and reviewing code across a modern Python-based stack, • Using AI coding tools as your primary development workflow, • Collaborating closely with Product to identify opportunities and challenge assumptions, • Keeping stakeholders aligned on progress, priorities, and trade-offs, • Spotting issues early and re-aligning fast to keep delivery on track The Ideal Candidate Will Have • 4+ years building products in fast-paced startup environments, • Python as a core language, with comfort working across the stack, • Experience using AI coding tools daily, • The ability to think in systems of intelligent, autonomous components, • Strong ownership mentality - resourceful, independent, and outcome-driven, • A relevant degree in Computer Science, Engineering, Mathematics, Physics, or similar Why Join • Competitive salary + equity in a fast-growing startup, • Fully remote across Europe, • 25 days holiday + local public holidays, • Small, tight-knit team where every contribution has direct impact, • Great benefits and regular team meetups Fast-moving, AI-native, and high-impact - this role is for engineers who want to build autonomous systems that solve real problems, not just write code.

Role:- You will be responsible for projects from initial idea generation through to implementation and execution, tackling challenges in areas such as prediction, optimisation and data analysis. Your research will involve large and often complex data sets. Your tools will be a range of computer programming languages (such as C++ and Python) and analysis packages, and their in-house development infrastructure. Requirements:- You must have an advanced degree in mathematics, computer science, physics, statistics or econometrics. Proven research ability is desirable, together with strong programming skills. You will be confident using statistics as a tool to validate experimental results. You must be very comfortable coding in C++ or Python. Any experience with C++, Python , Big Data / Scientific computing experience will be desired. Please do not apply if you do not have extremely strong C++ coding skills. Apply:- Please send a PDF format resume to quants@ekafinance.com

£150,000-250,000 GBP Formulaic Bonus Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Our client is an established quantitative hedge fund operating in the mid/low frequency trading space, with teams globally. The firm is looking for experienced Quantitative Researchers/Traders and Portfolio Managers, particularly those covering systematic Macro Futures or FICC markets, to build and lead a team and trade their own strategies in return for a performance based bonus. The firm can offer exceptional resources, including historical market data, alternative/fundamental datasets, development support, and cutting-edge execution infrastructure, allowing strategies to cover intraday and mid frequency time horizons, while maintaining low costs and a quick time to market. The Role: • Building and leading a desk where you will research and trade alphas based on analysis of market or alternative data., • Researching and monetizing signals, monitoring performance of models and optimising them where possible., • Creating quantitative tools to aid the strategy development process, such as execution algorithms, modelling libraries, etc. for the rest of your trading team to use.Requirements:, • A degree from a prestigious university in a numerate field. Previous successful candidates have degrees in Engineering, Physics, Mathematics, Computer Science, etc., • Coding proficiency in at least one language, such as C++ or Python., • At least three years of experience as a Quantitative Researcher/Trader, where you used sophisticated quant methods for the research and optimisation of macro strategies., • You will need to be a confident, resilient, and highly motivated individual, capable of working collaboratively with your colleagues in your office and in other locations.

Key Responsibilities • Alpha Research & Strategy Design : Partner with the research team to uncover trading opportunities, leveraging expertise in statistical arbitrage and quantitative research. Build, refine, and implement intraday and systematic trading strategies for global markets., • Advanced Data Analysis : Analyze large-scale market data and time-series datasets, utilizing cutting-edge statistical methods to uncover actionable patterns and insights., • Model Development & Validation : Develop, test, and continuously enhance predictive models and systematic strategies through rigorous back-testing, ensuring their robustness across diverse asset classes (e.g., equities, currencies, commodities, and fixed income)., • Collaboration Across Teams : Coordinate closely with technology teams to integrate quantitative models with advanced trading infrastructure., • Risk Assessment & Strategy Optimization : Apply in-depth knowledge of risk management principles to ensure that trading strategies operate within predefined risk parameters. Key Qualifications • Educational Background : Master’s or Ph.D. in Applied Mathematics, Statistics, Computer Science, Physics, or a related quantitative field., • Professional Expertise :, • Demonstrated experience with statistical arbitrage strategies, high-frequency trading, or market-making., • 5+ years of experience in quantitative finance, systematic trading, or proprietary trading environments., • Proven ability to generate alpha through rigorous financial modeling, statistical analysis, and innovative research methods., • Technical Proficiency :, • Strong expertise in Python (particularly for data analysis) and proficiency in C++., • Familiarity with machine learning techniques and frameworks., • Advanced skills in analyzing complex datasets, implementing models, and applying statistical methods to trading environments., • Exceptional problem-solving abilities, particularly in managing complex datasets and implementing innovative solutions., • A self-starter with a demonstrated ability to work independently in a fast-paced, high-pressure environment., • Core Competencies : This role is open to candidates who have medium-frequency experience within statistical arbitrage. High-frequency experience is not fundamental. If you are a quant researcher who is interested in working in a collaborative start-up environment with very good backing/peers and you want to be involved in all parts of the research/trading/coding – this is a perfect platform. Quants who are part of a larger team where they cannot get involved in all parts of the process and are just one of so many would find this ideal as a stepping stone into their career. If you're a driven quantitative professional with deep expertise in statistical arbitrage and a passion for cutting-edge trading strategies, we encourage you to apply. Please send a PDF CV to quants@ekafinance.com

Role Overview: The successful candidate will design, implement, and manage data-driven trading models across global macroeconomic assets. The position requires deep expertise in statistical and machine learning methodologies, alongside robust programming and data-handling capabilities. Applicants should bring a verifiable track record of high information ratio strategies deployed in real-market environments. Key Responsibilities: • Develop and deploy systematic trading models across macro asset classes, primarily using futures and foreign exchange instruments., • Apply advanced quantitative methods—including time-series modeling, econometric analysis, and machine learning—to uncover alpha-generating signals., • Conduct extensive backtesting and stress testing to evaluate performance robustness, execution latency, and risk-adjusted return characteristics., • Collaborate within a research-driven environment to enhance alpha models, portfolio construction techniques, and signal processing infrastructure., • Monitor and evolve deployed strategies to maintain performance amid shifting market regimes. Ideal Background: • Demonstrated experience in quantitative macro research or portfolio management, with a track record of alpha generation and strategy deployment., • Exposure to short- and medium-term systematic trading styles, ideally within timeframes of hours to two weeks., • Advanced academic training (PhD or MSc) in a quantitative discipline such as Financial Engineering, Applied Mathematics, Statistics, Computer Science, or Physics., • Strong coding proficiency in Python and/or C#, with working knowledge of SQL for data manipulation and extraction., • Eligible to work in the UK and able to operate effectively in a collaborative, research-intensive setting.

About Cognizant: Cognizant is a global leader in professional services, helping clients transform their business, operating and technology models for the digital era. Our teams work in a collaborative, innovative, and globally connected environment delivering high-quality solutions across industries. Role Overview We are seeking a highly motivated Full Stack Java Developer (0–2 years experience) to join our growing delivery teams. This role offers the opportunity to work on enterprise-grade applications across frontend and backend technologies. Work Model Work arrangement will be aligned to client requirements and may include hybrid (office + remote) or full work-from-home options. Key Responsibilities: • Develop and maintain applications using Java, Spring Boot, and REST APIs, • Build responsive UI using Angular/React, • Work with relational databases (SQL, MySQL, Oracle, AWS), • Collaborate with cross-functional teams, • Participate in Agile ceremonies, • Perform unit testing, debugging, and optimisation Must-Have Skills: • Core Java and OOPs concepts, • Hands-on exposure to Spring Boot and REST APIs, • Basic knowledge of Angular or React, • HTML, CSS, JavaScript, • SQL/database fundamentals, • Strong communication and interpersonal skills Good-to-Have Skills: • Understanding of microservices architecture, • CI/CD and DevOps basics, • Agile/Scrum familiarity Eligibility / Work Authorization: • Candidates must have valid authorization to work in the UK ., • Visa sponsorship is not available for this role Education & Experience • Bachelor’s degree in Computer Science or related field, • 0–2 years of experience (including internships/projects) Selection Process Shortlisted candidates will participate in a technical hackathon to evaluate coding ability, problem-solving skills, and full stack understanding. Final selection will be based on performance in the hackathon and subsequent evaluations.

Salary: up to £200k base + bonus Summary Fantastic opportunity for all-star coders at one of the world's top algorithmic trading firms. The Systems Development team builds and maintains the infrastructure and software platform used by all Systems teams to manage servers and networks. As a Python Developer, your workload will be varied, offering great opportunities to improve and have a huge impact. Your main focus will be tool development (in Python), both improving and integrating existing tools and libraries across the platform, as well as designing and building new ones. The successful Python Developer loves to be challenged and thrives in fast-paced environments. You're a big fan of open-source software, adept at effective multitasking and a proponent of automation - why do the same task twice manually? Requirements • 3+ years of experience, including strong Python programming skills, • Highly proficient in debugging and analysing problems quickly, • Minimum bachelor's degree in Computer Science (or related field), • Excellent understanding of CompSci fundamentals, • Bonus points for knowledge of: Debian operating system, systems configuration management and/or CI/CD tools and processes NB: Please do not apply if you are a fresh graduate. Benefits • Market-leading salary + bonuses + generous benefits package, • They're willing to be flexible with WFH, • Truly flat management structure, with no red tape, • Friendly culture where everyone's ideas are encouraged and celebrated, • Feel valued and be rewarded for your hard work where coding is front and centre Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful. Contact If this sounds like you or you'd like to know more, please get in touch: Andy Stirling-Martin andy@oxfordknight.co.uk 020 3137 9579 linkedin.com/in/andrew-stirling-martin-7664a946

Job Title: Full-Stack Developer Location: London, United Kingdom Type: Permanent Our client are an AI Start-Up looking to build Agentic Systems for the purpose of auditing and certification. This role would be full time on-site and wouldn't be able to sponsor visas. Responsibilities: Build, test, and ship high-quality, high-velocity code across the full stack (front-end, back-end, and AI-agent infrastructure). Collaborate directly with the co-founders to solve complex architectural problems, like how to capture an auditor's "tribal knowledge" into a self-improving, agentic system. Go beyond simple prompting: You will use LLM coding tools as a partner, understanding how to negate their weaknesses and build robust frameworks around them to maximize your output. Get hands-on with our first design partners, understand their real problems (not just what they ask for), and build solutions that they will actually use. The Ideal Candidate BSc in Computer Science or relevant subject A sophisticated user of LLM tools (e.g., Claude Code, Cursor, etc.) for coding - you understand their strengths, weaknesses, and how to build systems that leverage them effectively. Candidates can use whatever language they feel most comfortable in but ideal would be Python/React alongside heavy usage of an AI coding tool such as Claude If this sounds like it could be of interest, please apply below or reach out to daniel@microtech-global.com

📍 Remote | Full-Time | UK 🏴 🚀 The Client🚀 A well-funded, AI-native SaaS company is transforming the insurance industry by enabling smarter, faster, and more equitable underwriting decisions. Backed by leaders behind companies like Salesforce, Veeva, Zoom, and Box, the team is building a platform that embeds intelligent decision-making directly into workflows - helping insurers navigate today’s biggest challenges. 🧑 💻 The Role 🧑 💻 We are seeking a Senior Forward Deployed Engineer to design and deliver complex enterprise implementations while working closely with customers, engineering, and product teams. This role combines hands-on software development, technical consulting, and solution architecture to deploy AI-powered products in real-world environments. 🛠 Responsibilities 🛠 • Lead planning, scoping, and delivery of complex customer implementations from discovery through launch, • Act as the technical escalation point for integration and implementation challenges, debugging complex issues and designing robust solutions, • Run technical discovery sessions with customers, translating ambiguous requirements into clear technical solutions, • Design implementation approaches and influence architectural decisions based on real-world deployment needs, • Collaborate closely with Product, Engineering, Customer Success, and other cross-functional teams to align product capabilities with customer requirements, • Build internal playbooks, improve delivery processes, and mentor junior engineers, • Communicate technical insights and recommendations clearly to customers and internal stakeholders to help guide product improvements, • Write and debug production code for customer deployments and internal tooling using Python, JavaScript, and SQL 🎯 Qualifications 🎯 • B.S. in Computer Science or a related technical discipline, or equivalent experience, • 6-8+ years of software engineering, systems engineering, or technical product/program management experience 🧩 Required Skills 🧩 • Deep expertise across multiple product domains; ability to debug complex integrations and build custom solutions., • Strong communication skills — able to lead discovery sessions, manage client expectations, present technical tradeoffs, and influence stakeholders., • Demonstrated track record mentoring or leading other engineers, creating documentation/playbooks, and contributing to internal process improvements and knowledge sharing., • Cross-functional coordination skills, organizational leadership in delivery settings, and ability to own multiple customer timelines concurrently., • Coding competency in SQL, JavaScript and Python. If you're excited about driving AI-powered transformation 🤖, solving real-world problems at scale, and leading high-impact programs in a fast-scaling environment - Hit Apply!

We're Hiring: Junior Java Spring-boot Developer Location: Onsite (London) Type: Full-time | Permanent Level: Junior London based candidates only. Job Summary: We are seeking a skilled and motivated Java Developer to join our growing software development team. As a Java Developer, you will be responsible for designing, developing, and maintaining high-performance, scalable, and reliable Java-based applications. You’ll collaborate with cross-functional teams to deliver robust software solutions that meet business requirements. Company Profile: Information Tech Consultants Ltd is a UK-based IT consultancy working with global clients including Fortune 500 & FTSE 100 companies. We are seeking a skilled Java/Spring Boot Developer to design, develop, and maintain scalable Java-based applications and microservices. The ideal candidate should have experience with Spring Boot, REST APIs, databases, and backend development practices. The role involves collaborating with cross-functional teams to build high-performance enterprise applications. Key Responsibilities • Develop and maintain backend applications using Java and Spring Boot., • Design and implement RESTful APIs and microservices., • Integrate applications with databases and third-party services., • Write clean, efficient, and reusable code/ coding practices. Required Skills : • Strong knowledge of Core Java and Spring Boot., • Experience with REST APIs and Microservices architecture., • Good understanding of Spring Framework modules (Spring MVC, Spring Data JPA, Spring Security)., • Knowledge of Hibernate/JPA., • Experience with SQL databases like MySQL or PostgreSQL. Preferred Qualifications : • Bachelor’s degree in Computer Science, IT, or related field., • Experience working on enterprise applications., • Knowledge of Agile/Scrum methodology. Experience : • 2-4 years of experience in Java/Spring Boot development. Additional Info: • Notice Period: Immediate / 15 days preferred, • Employment Type: Full-Time

Job Title: AI Coding Engineer Location: London, United Kingdom Type: Permanent Our client are an AI Start-Up looking to build Agentic Systems for the purpose of auditing and certification. This role is 100% on-site and wouldn't be able to provide sponsorship. Responsibilities: Build, test, and ship high-quality, high-velocity code across the full stack (front-end, back-end, and AI-agent infrastructure). Collaborate directly with the co-founders to solve complex architectural problems, like how to capture an auditor's "tribal knowledge" into a self-improving, agentic system. Go beyond simple prompting: You will use LLM coding tools as a partner, understanding how to negate their weaknesses and build robust frameworks around them to maximize your output Get hands-on with our first design partners, understand their real problems (not just what they ask for), and build solutions that they will actually use. The Ideal Candidate Exceptional technical talent with more than 2 years of professional experience. Your GitHub, personal projects, or hackathon wins speak for themselves. A first-principles problem solver. You have a fundamentally strong computer science background (e.g., from a top university or equivalent experience) and are language-agnostic, picking the right tool for the job. AI-Native: You are already a sophisticated user of LLM tools (e.g., Claude...

[Up to c. £300k Comp Package (or equivalent) | Office-Led Working] Role Overview We’re partnering with a leading global trading and technology firm as it continues to expand its broader cybersecurity engineering capability across multiple international locations. This role is intentionally broad in scope, designed for strong software-oriented security engineers who may sit across offensive security, defensive engineering, infrastructure security, detection, tooling, or platform protection rather than one narrowly defined domain. The environment is highly engineering-led, with a strong preference for technically exceptional generalists who enjoy building, automating, and solving security problems through software and systems thinking. Successful candidates will typically come from a computer science or software engineering background before moving deeper into cybersecurity-focused engineering work. This is a hands-on role within a collaborative, low-ego team where security is embedded directly into the engineering culture. The focus is less about rigid process ownership and more about bringing strong technical judgement, curiosity, and the ability to improve security through practical engineering solutions... Key Responsibilities • Design and develop internal security tooling, automation, and defensive capabilities across the technology environment, • Partner closely with software, infrastructure, and platform engineering teams to improve security across systems and workflows, • Contribute across a broad range of security initiatives, including detection, hardening, threat analysis, infrastructure protection, and secure engineering practices, • Investigate vulnerabilities, suspicious activity, and emerging threats, helping drive remediation and operational improvements, • Build scalable solutions that improve visibility, detection quality, and security operations efficiency, • Support security architecture and threat modelling discussions, helping teams make pragmatic, risk-aware decisions, • Evaluate new attack techniques, tooling, and security research, translating relevant findings into actionable engineering improvements, • Help strengthen security awareness and engineering best practices across the wider organisation, • Continuously improve the balance between security, usability, and developer productivity What You’ll Bring… • 3-7 years’ experience in security engineering, infrastructure security, or a related technical field, • Strong computer science or software engineering foundations, with the ability to perform well in coding-focused interview processes, • Strong programming or scripting ability (Python or similar), particularly around automation, tooling, or systems development, • Experience building or contributing to security-focused software, tooling, platforms, or infrastructure, • Broad understanding of security concepts across areas such as application security, infrastructure security, detection, threat modelling, or defensive engineering, • Comfortable working as a technical generalist rather than within a highly siloed security function, • Ability to reason clearly about security trade-offs and apply pragmatic engineering judgement, • Experience working with version control, modern engineering workflows, and collaborative development practices, • Strong communication skills and the ability to work effectively with highly technical stakeholders, • (Preferred) Backgrounds combining software engineering experience with subsequent security-focused engineering work ...

About the Role As a Senior Forward Deployed Engineer (Sr. FDE) at Uniphore, you will take technical ownership of strategic AI solution deployments and lead the architecture, prototyping, and delivery of customer-specific applications on our Agentic AI platform. This role demands a deep technical skillset, sharp solution thinking, and the ability to guide both customers and internal teams through complex, high-stakes AI projects. You're not just coding - you're solving some of the most exciting challenges and problem solving in enterprise AI rollout, spanning enterprise data pipelines, multi-agent orchestration/workflows and RAG/SLM finetuning. Responsibilities • Lead the technical solution design and implementation of large-scale Agentic and Knowledge AI solutions for key enterprise clients., • Act as the primary technical point of contact during solution development and post-deployment optimization., • Own and execute projects end-to-end: from integration design to agent workflows and full-stack delivery., • Customize platform components as needed—integrating new APIs, building reusable tooling, or extending platform logic., • Collaborate closely with cross-functional teams internally and with customers to ensure solution success., • Provide structured feedback to Platform Engineering and Product on feature gaps and customer pain points., • Contribute to technical best practices and accelerate solution delivery through reusable assets, frameworks, and documentation., • Champion observability, monitoring, versioning and telemetry to ensure trustworthy and auditable AI agents., • Stay current on RAG, LLM/SLM advancements, Agentic AI tooling, vector/graph databases, retrieval optimizations, multi-modal systems, evaluation frameworks, GPU/Infra trends, fine tuning techniques, security/guardrails and broader landscape of Enterprise & Agentic AI. Qualifications • Undergraduate, master’s degree or Phd in Computer Science or Data Science, • 4–10+ years of experience in engineering, with 2+ years in customer-facing or field roles., • Proven success building and deploying AI/ML or data-intensive applications in production., • Deep full-stack development skills (Python, Node.js/Go, React/Vue) and DevOps experience (Docker, K8s, CI/CD)., • Expertise in building data pipelines and integrating with enterprise systems (REST, Python, SQL, GraphQL, Webhooks etc)., • Solid understanding of LLMs, Prompt engineering/tuning, Vector DBs (AstraDB, Pinecone, Weaviate etc), RAG pipelines (LlamaIndex, Haystack) and Agent/Workflow Orchestration (LangChain, LangGraph, CrewAI), • Knowledge of SLM Finetuning and Distillation is big advantage., • Experience and knowledge of Agentic development platforms and experience building and delivery enterprise agentic solutions is a huge advantage., • Ability to translate ambiguous customer needs into actionable engineering plans., • Strong leadership, mentoring, and project ownership abilities., • Excellent communication and collaboration across technical and business stakeholders.

We're Hiring: Full stack Engineer (Java) Location: Onsite (London) Type: Full-time | Permanent Level: Junior London based candidates only. Job Summary: We are seeking a skilled and motivated Java Developer to join our growing software development team. As a Java Developer, you will be responsible for designing, developing, and maintaining high-performance, scalable, and reliable Java-based applications. You’ll collaborate with cross-functional teams to deliver robust software solutions that meet business requirements. Company Profile: Information Tech Consultants Ltd is a UK-based IT consultancy working with global clients including Fortune 500 & FTSE 100 companies. We are seeking a skilled Java/Spring Boot Developer to design, develop, and maintain scalable Java-based applications and microservices. The ideal candidate should have experience with Spring Boot, REST APIs, databases, and backend development practices. The role involves collaborating with cross-functional teams to build high-performance enterprise applications. Key Responsibilities • Develop and maintain backend applications using Java and Spring Boot., • Design and implement RESTful APIs and microservices., • Integrate applications with databases and third-party services., • Write clean, efficient, and reusable code/ coding practices. Required Skills • Strong knowledge of Core Java and Spring Boot., • Experience with REST APIs and Microservices architecture., • Good understanding of Spring Framework modules (Spring MVC, Spring Data JPA, Spring Security)., • Knowledge of Hibernate/JPA., • Experience with SQL databases like MySQL or PostgreSQL. Preferred Qualifications • Bachelor’s degree in Computer Science, IT, or related field., • Experience working on enterprise applications., • Knowledge of Agile/Scrum methodology. Experience • 2-4 years of experience in Java/Spring Boot development. Additional Info: • Notice Period: Immediate / 15 days preferred, • Employment Type: Full-Time

We're Hiring: Junior Java Spring-boot Developer Location: Onsite (London) Type: Full-time | Permanent Level: Junior London based candidates only. Job Summary: We are seeking a skilled and motivated Java Developer to join our growing software development team. As a Java Developer, you will be responsible for designing, developing, and maintaining high-performance, scalable, and reliable Java-based applications. You’ll collaborate with cross-functional teams to deliver robust software solutions that meet business requirements. Company Profile: Information Tech Consultants Ltd is a UK-based IT consultancy working with global clients including Fortune 500 & FTSE 100 companies. We are seeking a skilled Java/Spring Boot Developer to design, develop, and maintain scalable Java-based applications and microservices. The ideal candidate should have experience with Spring Boot, REST APIs, databases, and backend development practices. The role involves collaborating with cross-functional teams to build high-performance enterprise applications. Key Responsibilities • Develop and maintain backend applications using Java and Spring Boot., • Design and implement RESTful APIs and microservices., • Integrate applications with databases and third-party services., • Write clean, efficient, and reusable code/ coding practices. Required Skills • Strong knowledge of Core Java and Spring Boot., • Experience with REST APIs and Microservices architecture., • Good understanding of Spring Framework modules (Spring MVC, Spring Data JPA, Spring Security)., • Knowledge of Hibernate/JPA., • Experience with SQL databases like MySQL or PostgreSQL. Preferred Qualifications • Bachelor’s degree in Computer Science, IT, or related field., • Experience working on enterprise applications., • Knowledge of Agile/Scrum methodology. Experience • 2-4 years of experience in Java/Spring Boot development. Additional Info: • Notice Period: Immediate / 15 days preferred, • Employment Type: Full-Time

About the Team: You'll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machine learning, ensuring secure remote customer onboarding. By assessing government- issued identity documents and facial biometrics using state-of-the-art machine learning, we provide companies with the assurance they need to operate securely while allowing people to access services quickly and safely. Our Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy models to serve our worldwide customer base. Position Overview: We are looking for an Applied Scientist II to design and train cutting-edge machine learning solutions related to digital identities. Join our team and work on challenging problems in deepfake detection, bias mitigation, document understanding, anomaly detection and/or efficient ML. What you will be doing: • Push the frontier of research in areas such as deepfake detection, bias mitigation, fraud/anomaly detection, face matching, document understanding, and efficient on-device ML., • Publish research results in national and international conferences and scientific journals. Work with product and engineering to improve our world-class identity-focused products. Representative work: • Implement bias-mitigation strategies to build fair face-matching and deepfake-detection models., • Train and benchmark large-scale vision-language models for document extraction., • Train a multi-modal document understanding model from scratch using synthetic data., • Optimise LoRA adapter latency in PEFT/Triton., • Profile, debug and improve model training speed on multiple GPUs., • Create a large-scale dataset for deepfake detection., • Experiment with multimodal models to detect fraud. You may be a good fit if you: • Have strong experience in machine learning and computer vision., • Have a strong record of successfully delivering high-performance ML-driven products., • Have a deep understanding of machine learning theory., • Have strong coding skills in Python and PyTorch., • Care about building fair and cutting-edge machine learning products. Strong candidates may also have: • Technical experience in one or more of the following areas: face matching, bias mitigation, anomaly detection, document understanding or on-device ML., • Published at top-level machine learning conferences. Experience optimising (distributed) training code. Where you will be: This role is based in our London, UK office and follows a hybrid model, requiring in-office presence three days per week. Benefits UK • 25 days annual leave plus a day off for your Birthday., • Two paid volunteering days per year.*, • Bupa Private Medical and Dental Insurance*, • Pension with The People’s Pension (employer contribution 4% of base salary)*, • Generous paid parental leave, • Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy, • Dedicated learning opportunities including using tools like Linkedin Learning with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more, • Our open and transparent culture is reflected in our “Better Together” motto and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events, • Expense up to £300 (or local equivalent) to purchase workstation setup equipment, • The opportunity to become a member of Entrust’s resource groups in order to learn different skills in our belonging groups Ready to Make an Impact? If youʼre excited by the prospect of working on cutting-edge machine learning for problems that matter, Entrust is the place for you. Join us in making a difference. Letʼs build a more secure world—together. Apply today! NO AGENCIES, NO RELOCATION #LI-GR1 #ENT123

Who are we and What do we do? ShareChat (Mohalla Tech Pvt Ltd) is India’s largest homegrown social media company and the only local player to achieve profitability in the industry, with 200+ million Monthly Monetizable Users across all its platforms. Founded in 2015, ShareChat has social media brands such as the ShareChat App and Moj App and micro drama app QuickTV under its portfolio. QuickTV, the newest addition to ShareChat's family of apps, crossed the 10 million downloads mark within 3 months of launch and currently has 60Mn MAUs across the network viewing the vertical episodic content. Today, the ShareChat network maintains a whopping 1,000 Cr ARR and is India’s leading social media platform servicing users across the country in 15 regional languages. This growth has led to a 28% YoY revenue growth in the July-Sept (2025-26) quarter and increased it by more than 60% in the Oct-Dec quarter. What does the team do? Serving recommendations to 300+ million users entails developing large scale personalization and recommendation models that understand user needs and preferences in realtime, while also helping creators grow their audiences on our platforms. A subset of the problems we tackle include: • Serving personalized feeds for 300+ million users via real-time candidate generators, multi-task prediction models, whole-page optimization, and in-session personalization., • Nurturing our content and creator ecosystem, and developing models for strategic content valuation., • Multi-objective balancing and long term measurement. We rely extensively on state-of-the-art ML around personalization, deep learning, causal inference, optimization, ranking and recommendation. What You’ll Do Within the Sharechat AI team, we are looking for an experienced Staff engineer to lead the engineering efforts around serving personalization models efficiently at scale, leading efforts across 10+ MLEs, SDEs and decision scientists working on feed ranking and candidate generation systems that power Sharechat’s recommender systems. In this role you will help us further improve our recommendation systems in order to drive up user retention and engagement while minimizing server and cloud costs of serving large scale models, and act as a subject matter expert in the recommender systems and ML ranking domains. You would be joining us at an exciting time! The science behind recommendation systems is rapidly changing, and we’re making big progress at a rapid pace. Who are you? • 8+ years of industry experience with a solid understanding of engineering, infrastructure and ML best practices. Strong coding skills with Go or JAVA, • Design and help develop systems that serve recommendations to over 300 million users, • Drive engineering roadmap creation and execution, specifically around feed ranking and recall oriented candidate generation systems, • Provide technical guidance in ranking systems design, implementation & experimentation, and take end to end ownership of ML systems, and key user satisfaction based metrics, • Drive architectural strategy and design for complex ML systems that support the needs of users, creators and content stakeholders, • Familiarity with cloud platforms such as AWS, Google Cloud, or Azure. Knowledge of containerization and orchestration tools like Docker and Kubernetes is a plus., • Experience designing end to end ML data pipelines. Experience with database technologies such as PostgreSQL, MySQL, or MongoDB, Spark, Databricks and stream data processing such as Kafka, RedPanda is a plus., • Direct experience in building and applying large-scale (100M+ users) machine learning solutions for personalizing recommendations., • Hands-on experience building training frameworks and/or serving large-scale models using tools such as Tensorflow or PyTorch is a plus., • You stay up-to-date with the state-of-the-art open source infrastructure solutions applicable to designing and improving large scale recommender systems, data engineering, and machine learning, • You have a Master’s or PhD in Computer Science, statistics, or an engineering field with 5+ years of experience Where will you be? London(Remote) What's in it for you? At ShareChat, our values—Ownership, Speed, User Empathy, Integrity, and First Principles—are at the core of our ways of working. We believe in hiring top talent and grooming future leaders by providing a flexible environment to aid growth and development.

Job Title: Data Analyst Location: UK Experience: 2–4 years Education: Master's in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. We are responsible for sourcing and hiring field experts for various companies. We primarily work with Software and Cloud Hosted Services organizations as well as Mobile Apps and Service companies. Required Skills: • 2-4 years of experience manipulating data sets and building statistical and machine learning models. • Masters or Ph D in Statistics, Mathematics, Computer Science, or another quantitative field, • Fluent English (written/spoken), • Strong hands-on experience on Python, SQL, No SQL., • Experience in Developing Machine Learning / Data Science models, from coding to deployment. Preferred Skills: • Hands on experience in coding (mandatory python and SQL or C++)., • Understanding of Generative AI, Computer Vision cloud technology, NLP, Deep Learning., • Familiarity working with large data sets., • Project Management background preferred. Qualifications : • Master’s (Required) in Data Science, Mathematics, Statistics, Economics, IT related fields and 2- 4 years of experience in Information Technology., • You should be entitled to work in the UK with legal work authorization status., • Must be willing to travel within the UK as per project/client requirements., • Excellent communication skills and teamwork skills.

🚀 Hiring: Forward Deployed Engineer (Fully Remote across the UK) I’m partnering with a leading Revenue Ops platform transforming the commercial insurance space with a cutting-edge AI system that pulls from hundreds of data sources to modernize underwriting. 💰 $180M funded (Series A–D) 📈 7-figure recurring revenue 🌎 Fully remote 🧠 World-class engineering team This is a high-impact, customer-facing engineering role where you’ll architect and build custom solutions directly with enterprise clients. You’ll be writing production code, owning implementations end-to-end, and shaping long-term customer success. Must have experience: • BS in Computer Science, • Strong programming skills + SQL (live coding interview, no AI allowed), • Currently shipping production code, • Experience leading complex B2B SaaS implementations, • Forward Deployed / Solutions Engineering background, • 6+ years of experience, • Startup experience (Seed- Series E) Compensation is flexible and tailored to experience — we’re open to candidate expectations Fully remote across the UK

Job Title: Computer Vision Engineer Location: UK Experience: 2–4 years Education: Master's in Science (IT/Computer Science/Engineer) Employment Type: Full-Time Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. We are responsible for sourcing and hiring field experts for various companies. We primarily work with Software and Cloud Hosted Services organizations as well as Mobile Apps and Service companies. Required Skills: • 2-4 years of experience manipulating data sets and building statistical and machine learning models. • Understanding of Generative AI, Computer Vision cloud technology, NLP, Deep Learning., • Masters or Ph D in Statistics, Mathematics, Computer Science, or another quantitative field, • Fluent English (written/spoken), • Strong hands-on experience on Python, SQL, No SQL., • Experience in Developing Machine Learning / Data Science models, from coding to deployment., • Hands on experience in coding (mandatory python and SQL or C++)., • Familiarity working with large data sets., • Project Management background preferred. Qualifications : • Master’s (Required) in Data Science, Mathematics, Statistics, Economics, IT related fields and 2- 4 years of experience in Information Technology., • You should be entitled to work in the UK with legal work authorization status., • Must be willing to travel within the UK as per project/client requirements., • Excellent communication skills and teamwork skills.

Computer Science Teacher | Lewisham | September Are you a Computer Science Teacher looking to teach within a high-achieving independent school that actively champions STEM education and opportunities for girls in technology? This permanent September 2026 role would suit both experienced teachers and ambitious ECTs keen to teach motivated pupils within a well-resourced and academically ambitious environment. This Computer Science Teacher opportunity is within a leading independent girls’ school recognised for its strong academic outcomes and extensive STEM enrichment provision. Pupils regularly participate in national STEM competitions, engineering programmes and coding initiatives, with the school placing a clear emphasis on increasing female participation in technology and computing-related fields. The successful Computer Science Teacher will join a school where enrichment sits alongside academic excellence. Staff are encouraged to contribute to coding clubs, STEM events and cross-curricular projects, while benefiting from small class sizes, engaged learners and strong parental support. The school’s wider academic outcomes are consistently strong, with GDST schools continuing to achieve exceptional A Level performance nationally. Computer Science Teacher – September 2026 Inner London MPS | £40,317–£52,300 What the school can o...

Computer Science Teacher – Full-Time, Long-Term Position Location: Watford, Hertfordshire Salary: £34,398 – £46,839 per annum (dependent on experience) Start Date: September 2026 We are working in partnership with a well-established secondary school in Watford to recruit a passionate and skilled Computer Science Teacher to join their team on a full-time, long-term basis from September 2026. The school is recognised for its commitment to academic excellence, innovative teaching approaches, and a supportive environment that enables both students and staff to thrive. This role is ideal for a teacher with a strong interest in technology and computing who is keen to inspire young people and prepare them for an increasingly digital future. Key Responsibilities • Deliver high-quality Computer Science lessons to Key Stage 3 and Key Stage 4 students • Plan and teach engaging lessons that develop problem-solving, coding, and analytical skills • Support students in developing practical computing skills, including programming and digital literacy • Create a positive and stimulating learning environment that encourages exploration of new technologies • Assess, monitor, and track student progress, providing clear and constructive feedback • Collaborate with colleagues on curriculum development, shared resources, and best practice • Encourage student participation in extracurricular ac...

Use your Java and AWS knowledge to build secure, scalable cloud-based services for medical researchers London with hybrid working; to £90k DoE + options and benefits This company is developing an AWS-based platform to securely share medical diagnostics between clinicians and researchers worldwide, and enable online characterisation and measurements from scan images. This will feed into a better understanding of disease processes and ultimately better treatments for patients. The back end of their technology stack comprises Java-based microservices running on AWS. Data security and integrity is of paramount importance, and the solution needs to be compliant with healthcare industry software standards - we are therefore keen to hear from applicants with relevant experience in healthcare technology. Success in this senior role calls for excellent software development skills in Java (or a closely related OO language), and a strong understanding of AWS is essential. You will also need excellent communication and collaboration skills, and be proactive in understanding the needs of stakeholders and how their underlying needs feed into the software requirements. You will need: A solid academic background with a degree in Computer Science, or a similar subject. Substantial commercial software engineering experience and familiarity with Agile development processes, CI/CD, and software testing strategies. * Strong coding...

Computer Science Teacher – Secondary School – Lambeth – Permanent Role – September 2026 Start *Computer Science Teacher required for Secondary School *Computer Science Teacher required for Lambeth location *Computer Science Teacher required to teach KS3–KS4 Computer Science *Permanent Computer Science Teacher role *Computer Science Teacher must hold QTS *Computer Science Teacher role suitable for an ECT The Role – Computer Science Teacher We are currently looking for a passionate and motivated Computer Science Teacher to join a well-established secondary school based in Lambeth on a permanent basis starting in September 2026. For this Computer Science Teacher role, you will be responsible for teaching KS3–KS4 Computer Science to mixed-ability classes. The successful candidate will be expected to plan and deliver engaging and differentiated lessons that inspire students and develop their understanding of key areas including programming, coding, computational thinking, cybersecurity, and digital literacy. As a Computer Science Teacher, you will encourage students to build confidence in technology and problem-solving while preparing them for examinations and future opportunities within the digital and technology sector. You will be responsible for monitoring student progress, supporting learners of varying abilities, and creating a positive and engaging classroom environme...

Outstanding Girls' Secondary School | September 2026 Start Quantum Scholars are delighted to be working with an Outstanding-rated all-girls secondary school in Wimbledon to recruit a Computer Science Teacher for a September 2026 start. This is genuinely a lovely school to recruit for and a rare opportunity within London. The school has an excellent reputation for both academic achievement and staff wellbeing, with a supportive leadership team and highly motivated students. The role will involve teaching Computer Science across KS3, KS4, and KS5, with the school looking for someone confident in coding and programming as part of the curriculum. The Role Full-time Computer Science teaching position Teaching across KS3, KS4, and KS5 September 2026 start Supportive and well-established department Opportunity to teach academically engaged students in a high-performing school environment The Ideal Candidate UK-trained teacher with QTS preferred Strong subject knowledge in Computer Science Experience with coding and programming essential Ability to teach Computer Science at Key Stage 5 Passion for delivering engaging and challenging lessons Strong classroom presence and communication skills The School Outstanding Ofsted-rated all-girls secondary school Excellent behaviour and strong academic culture Supportive senior leadership team Highly regarded within the local area Located in Wimbledon with excellent transpor...

Our client, a growing software solutions company, is looking to expand their engineering team and seeking either a recent IT graduate or a second jobber, with experience of coding with C++. Hold a degree in Computer Engineering or IT related subject.

Integrating AI gateway features into enterprise software applications Reading - Crawley region; £60,000 to £80,000 DoE + Benefits This highly respected market-leading software company produce state-of-the-art modelling tools used by 100s of multinational companies in the energy sector. They are expanding into new industry sectors and are seeking to hire a Software Engineer with expertise in advanced AI / ML solutions within production software. As part of a newly formed AI team, you would play a key role in designing, developing and deploying new software features with AI functionality into their current desktop and web software tools. You’ll understand the importance of security and compliance for industrial applications and be comfortable with structured and unstructured data for ML guided inference. You are a senior engineer, so will be comfortable with technical leadership and project ownership whilst having the ability to work well within a team. Further, your experience will allow you to understand software problems regardless of the technology stack and version specificities of the programming language. Requirements: 1st / 2.1 degree in computer science or similar, and ideally a relevant postgraduate degree. Extensive demonstrable experience as a software engineer, with the confidence of a senior level individual contributor. Your past projects will include multiple instances of architecting, developing and maintaining production software for scalable AI applications. Hands-on coding skills with a broad range of technologies including C++ and / or C#. Additional Python familiarity is expected. Specific experience in developing robust APIs with AI integration. This role is based fully onsite at their newly refurbished offices. Parking is available. On offer is a comprehensive remuneration package that includes a competitive salary, performance related bonus, enhanced holiday allocation, private health insurance and the opportunity for international travel. Keywords: Software Engineering, AI / ML, C++ / C#, Python, Feature Integration, APIs, Energy Sector, Senior / Experienced, Production Code Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call (phone number removed) or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27650) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate

Senior Software Engineer - Golang Information Security £(Apply online only) per day - Inside IR35 3 days per week on-site, 2 days WFH 3 Month rolling contract up to 2 years Job Summary The Information Security team is responsible for developing services to find and mitigate security risks faced. We are seeking an extraordinary Software Engineer who is passionate about security and can thrive in a fast-paced environment where both individual drive and team collaboration are the keys to success. As part of the Information Security team, you'll be at the forefront of developing cutting-edge services to identify and mitigate security risks. This is a technical hands-on role that is focused on security across all of the organisation. You'll be working to identify problems, establish a vision for how to address those problems, and unite the relevant owners within the business on achieving that vision. Description In this role you will architect and develop distributed and scalable services focused on ensuring high standards of security and ultimately drive continuous improvements for these solutions. Together, our work will be instrumental in maintaining the security of the software development lifecycle. As a member of the team, you will: Drive security requirements and architecture into distributed services that play a pivotal role in the development of software. Lead project initiatives throughout the product development cycle to ensure the highest level of security, while ensuring privacy and ease of use. Use a wide range of interpersonal and technical skills to champion adoption of our security technologies across the company. We're seeking candidates who have: A passion for information security. Proven experience collaborating with engineering teams to integrate security throughout the software development lifecycle. Proven experience designing, developing and deploying robust, scalable services and platforms that enable secure operations across an organization. Proven experience in programming and scripting languages (e.g., Go, Python, Bash, Java, JavaScript). Minimum Qualifications Bachelor's degree in computer science (or similar) with 5+ years of relevant industry experience Significant experience with Golang and Git/GitHub SCM Strong experience with coding techniques and standard methodologies for security, performance optimization, and ease-of-use Experience in utilisation and deployment of cloud technologies in AWS or GCP, experience in container technologies such as Docker and Kubernetes, and microservice architecture Experience with CI/CD, IaaS and DevOps best practices Strong test-driven approach to writing code Excellent problem-solving skills Excellent written and verbal communication skills across multiple levels Preferred Qualifications Bachelor's degree in computer science (or similar) 7+ years of relevant industry experience Experience with AI/ML and LLM's Experience with application tracing, monitoring, analysis and visualisations through analytics dashboards Passion for high-quality code, tests, CI/CD, documentation, and production services Track record of driving improvements in code quality, performance, etc. Experience leveraging ORMs to interact with databases efficiently Familiarity with Python, Java, Swift, C, C++ and/or Objective-C; and JavaScript and/or Typescript/React is a plus

Computer Science Teacher | Lewisham | September Are you a Computer Science Teacher looking to teach within a high-achieving independent school that actively champions STEM education and opportunities for girls in technology? This permanent September 2026 role would suit both experienced teachers and ambitious ECTs keen to teach motivated pupils within a well-resourced and academically ambitious environment. This Computer Science Teacher opportunity is within a leading independent girls school recognised for its strong academic outcomes and extensive STEM enrichment provision. Pupils regularly participate in national STEM competitions, engineering programmes and coding initiatives, with the school placing a clear emphasis on increasing female participation in technology and computing-related fields. The successful Computer Science Teacher will join a school where enrichment sits alongside academic excellence. Staff are encouraged to contribute to coding clubs, STEM events and cross-curricular projects, while benefiting from small class sizes, engaged learners and strong parental support. The schools wider academic outcomes are consistently strong, with GDST schools continuing to achieve exceptional A Level performance nationally. Computer Science Teacher September 2026 Inner London MPS | £40,317£52,300 What the school can offer a Computer Science Teacher: Small class sizes and highly motivated pupils across KS3KS5 Significant investment in STEM enrichment and computing initiatives Access to modern classroom technology and specialist teaching spaces Extensive CPD through a nationally recognised girls school trust Opportunities to contribute to coding competitions and STEM outreach programmes Strong focus on staff wellbeing and manageable teaching loads Supportive leadership with clear pathways into curriculum leadership and enrichment coordination A culture that actively promotes girls into STEM pathways and careers The successful Computer Science Teacher will: Hold UK QTS by September 2026 Be confident teaching Computer Science across KS3 to KS5 Have the ambition to contribute to wider STEM enrichment opportunities Build engaging and challenging lessons that encourage curiosity and independence Be enthusiastic about supporting girls within STEM education If you are a Computer Science Teacher seeking a school with exceptional academic standards, strong STEM culture and engaged learners, this is an excellent opportunity to join a thriving Lewisham independent school from September 2026. Ribbons & Reeves are Londons leading Education Recruiters. We specialise in helping educators of all levels secure long-term and permanent roles, such as this Computer Science Teacher role, in Lewisham. For other roles like this, check out our website, search Ribbons & Reeves. We look forward to supporting you in your application to this Computer Science Teacher role. Computer Science Teacher | Lewisham | September | INDTEACH TPBN1_UKTJ

Senior Software Engineer - Golang Information Security £600-650 per day - Inside IR35 3 days per week on-site, 2 days WFH 3 Month rolling contract up to 2 years Job Summary The Information Security team is responsible for developing services to find and mitigate security risks faced. We are seeking an extraordinary Software Engineer who is passionate about security and can thrive in a fast-paced environment where both individual drive and team collaboration are the keys to success. As part of the Information Security team, you'll be at the forefront of developing cutting-edge services to identify and mitigate security risks. This is a technical hands-on role that is focused on security across all of the organisation. You'll be working to identify problems, establish a vision for how to address those problems, and unite the relevant owners within the business on achieving that vision. Description In this role you will architect and develop distributed and scalable services focused on ensuring high standards of security and ultimately drive continuous improvements for these solutions. Together, our work will be instrumental in maintaining the security of the software development lifecycle. As a member of the team, you will: Drive security requirements and architecture into distributed services that play a pivotal role in the development of software. Lead project initiatives throughout the product development cycle to ensure the highest level of security, while ensuring privacy and ease of use. Use a wide range of interpersonal and technical skills to champion adoption of our security technologies across the company. We're seeking candidates who have: A passion for information security. Proven experience collaborating with engineering teams to integrate security throughout the software development lifecycle. Proven experience designing, developing and deploying robust, scalable services and platforms that enable secure operations across an organization. Proven experience in programming and scripting languages (e.g., Go, Python, Bash, Java, JavaScript ). Minimum Qualifications Bachelor's degree in computer science (or similar) with 5+ years of relevant industry experience Significant experience with Golang and Git/GitHub SCM Strong experience with coding techniques and standard methodologies for security, performance optimization, and ease-of-use Experience in utilisation and deployment of cloud technologies in AWS or GCP , experience in container technologies such as Docker and Kubernetes , and microservice architecture Experience with CI/CD, IaaS and DevOps best practices Strong test-driven approach to writing code Excellent problem-solving skills Excellent written and verbal communication skills across multiple levels Preferred Qualifications Bachelor's degree in computer science (or similar) 7+ years of relevant industry experience Experience with AI/ML and LLM's Experience with application tracing , monitoring , analysis and visualisations through analytics dashboards Passion for high-quality code, tests, CI/CD, documentation, and production services Track record of driving improvements in code quality, performance , etc. Experience leveraging ORMs to interact with databases efficiently Familiarity with Python, Java, Swift, C, C++ and/or Objective-C ; and JavaScript and/or Typescript/React is a plus TPBN1_UKTJ