Trabajos tooling engineer en Reino Unido - Page 4

New Permanent Opportunity for an eDV Cleared Data Engineer with AWS Cloud Experience for a leading National Security Consultancy in London. • Up to £85,000 DoE plus bonuses, • Active eDV required, • London Location – full-time on-site when required, • Expertise required in AWS, Data Pipelines, ETL, Data Storage, and DevOps methodologies Role Overview: This role sits within our client’s rapidly growing Cloud Data Platforms team, part of the Insights and Data Global Practice. You will join a multidisciplinary group of data and platform specialists who deliver modern cloud-based transformation for clients across a range of sectors. In this role, you will design and build data pipelines, develop ETL/ELT processes, and create innovative data solutions using the latest cloud technologies and frameworks across AWS. Some responsibilities include: • Build data pipelines to ingest, process and transform data for analytics and reporting., • Develop ETL/ELT workflows to move data efficiently into data warehouses, data lakes and lake houses using open-source and AWS tooling., • Apply DevOps practices, including CI/CD, infrastructure as code and automation, to improve and streamline data engineering processes., • Design effective data solutions that meet complex business needs and support informed decision-making. Experience Required: • Strong AWS expertise, including tools such as Glue, Lambda, Kinesis, EMR, Athena, DynamoDB, CloudWatch, SNS and Step Functions., • Skilled in modern programming, particularly Python, Java, Scala and PySpark., • Solid knowledge of data storage and big data technologies, including data warehouses, databases, Redshift, RDS and Hadoop., • Experience building and managing AWS data lakes on S3 for both structured and unstructured data. What happens next? To apply, please either click online or email directly to . For further information, please call 07719065951 or 0161 4166800. By applying for this role, you give express consent for us to process and submit your application to our client in conjunction with this vacancy only. You may also connect with the hiring manager on LinkedIn by searching for their name. They look forward to hearing from you.

Senior QA Analyst & Automation Engineer London – Hybrid (2 days a month in office with paid for travel) We’re working with a fast-growing software company entering an exciting new phase of expansion following recent investment. They’re now looking for a Senior QA Analyst & Automation Engineer to take a leading role in shaping their testing strategy and automation capability. This is a highly technical role, ideal for someone who enjoys working close to engineering, building frameworks from scratch, and driving quality across complex products, particularly SDK-based software. The Role: You’ll play a key role in championing shift-left testing, embedding automation across the development lifecycle, and improving overall product quality. Working closely with Engineering, DevOps and Product teams, you’ll: • Design and build test automation frameworks from the ground up, • Drive adoption of automation-first and shift-left practices, • Test SDKs and libraries, focusing on developer experience and reliability, • Integrate automated testing into CI/CD pipelines (Azure), • Identify opportunities to replace manual testing with automation, • Use AI-assisted tools to improve test coverage and efficiency, • Mentor junior team members and influence QA best practice, • Analyse test results and provide actionable insights What We’re Looking For: • Strong background in QA and test automation, ideally at a senior level, • Experience building automation frameworks from scratch, • Solid understanding of:, • Unit testing, TDD / BDD, • CI/CD pipelines and DevOps practices, • Functional and non-functional testing, • Experience testing SDKs, APIs or libraries, • Comfortable working in Agile/Scrum environments, • Strong communication and stakeholder skills, • Experience with low-level programming languages (e.g. C/C++), • Python (pytest / unittest) or C# experience, • Cloud platform experience, • Strong interest in applying AI to QA and automation, • Prompt Engineering experience Why Join? • Work on cutting-edge cybersecurity technology trusted globally, • Be part of a company entering a high-growth phase, • Influence QA strategy and tooling at a senior level, • Flexible hybrid working (London-based team), • Heavily AI focused role and business, • Strong benefits package including private healthcare, pension, and more In Simple Terms: This is a hands-on, senior QA automation role where you’ll: • Build frameworks, • Work closely with engineers, • Test SDK-level products, • Drive modern QA practices across the business

About Us Every business needs to know who they’re really working with whether it’s suppliers, investors, partners, or third parties. At Xapien, we’re reinventing how organisations do that, combining speed, scale and accuracy with cutting-edge AI. Since 2018, we’ve grown from a deep-tech startup to a global player in AI-driven due diligence and risk intelligence. 2024 was a landmark year as we closed a $10M Series A, earned recognition in the Chartis RiskTech100® and Everest Group’s Leading 50™, and expanded our products, markets and customer base. 2025 was even bigger: With new regulations, rising compliance pressure and growing reputation risks, organisations everywhere are demanding smarter, faster ways to work and they’re turning to us. Customers worldwide from global law firms and private banks to universities and nonprofits rely on Xapien to turn days of manual research into trusted insights, delivered in minutes. Our momentum so far Customers in a diverse range of industries, with particular growth in wealth management, financial services and supply chain onboarding. Demand accelerating beyond our UK headquarters, across multiple continents with new customers in the Middle East, Asia, and Oceania. Why this is an exciting time to join This isn’t just another job role; it’s an opportunity to shape the future of the due diligence industry with a market-leading product trusted by global organisations. Whether you’re in marketing, communications, sales, or finance, you’ll play a critical role in driving growth, building credibility, and defining how we connect our product to a rapidly evolving market. We’re scaling fast with more customers, more releases, and bigger regulatory and market challenges. Expectations are rising, due diligence now means real-time insight, delivered efficiently and with impact. You won’t just be executing campaigns, closing deals, or managing numbers, you’ll be influencing strategy, optimising processes, and helping position a brand that’s setting the new standard for trust and transparency. For people who love learning, innovating, and making an impact that matters now is the moment to be a part of Xapien. The Role We are looking for a detail-focussed Applied Research Engineer to help us develop the next generation of the algorithms at the heart of our system. Our product is experiencing tremendous growth, and we need to ensure that we continue to deliver accurate insights in a rapidly changing landscape. This role requires someone who thrives in a fast-paced environment where continuous innovation and refinement are key. You will be working closely with our product team to ensure our algorithms and models capture their domain knowledge and expertise appropriately. This is an ideal opportunity for someone looking to kick-start a career in AI. Core responsibilities: • Designing, building, and testing AI-powered experiments working with leading-edge ML models., • Building and deploying AI-powered microservices following standard design patterns., • Implementing infrastructure as code using tools like Terraform or CloudFormation to automate deployment and scaling processes., • Statistical evaluation of candidate systems against functional and non-functional requirements, optimising for performance and cost-efficiency., • Collaborating with our wider engineering team, • Demonstrating a desire to continuously learn & improve You need to have: • Being a small company, candidates need to be able to work autonomously, be comfortable without micro-management, be flexible and have initiative to solve problems., • A rigorous and scientific approach to problem solving, • A demonstrable track record for learning and mastering complex topics, • Keen attention to detail, • Strong verbal and written communication, • Demonstrable experience working with Python and good Python knowledge, • A good understanding of statistics, • A strong understanding of algorithm optimisation, • A strong foundation of working with command-line tooling and knowledge of unix What you will gain out of it: • We will provide you with support and training in everything you need. This will include background understanding of the risk and compliance sector, our product, development, AWS infrastructure, log analysis and all other related skills. Here’s our promise to you: • We are going to work with you - to build a rewarding and fulfilling career with the opportunities, challenges and resources you need to do you your best work., • We succeed together- you will own a meaningful part of the business through our employee shares & equity programme., • Private health insurance to keep you in tip-top condition., • Life Insurance – let's hope nobody ever needs this!, • Unlimited holidays – yes, it really is uncapped – take the time you need, when you need it., • Everyone is learning, developing and challenging themselves so we have a £1k professional development fund per year if you want to learn new skills, even new things outside of work., • Most importantly of all, we will work with you, to help you realise your fullest potential, always.

Senior Analytics Engineer - 12 month FTC £78,000 London (hybrid) This is a rare opportunity to take a lead role in a growing Analytics Engineering function at a pivotal moment in its evolution. You will play a central part in a major Lakehouse programme, combining deep technical ownership with the chance to influence how data is modelled, governed and consumed across the organisation. The Company They are a large, complex organisation making continued investment in their enterprise data platform. Analytics sits at the heart of decision-making, with a clear mandate to expand engineering capability and mature the Lakehouse environment. The team is collaborative, technically ambitious and growing, with strong links across Engineering, BI and the wider business. This role sits within a well-established analytics function that is scaling its engineering remit. The Role • Take ownership of the curated or Gold layer within a Lakehouse architecture, • Design and deliver high-quality, analytics-ready data models that support trusted reporting, • Translate complex business requirements into robust SQL and PySpark transformation pipelines, • Shape how data is structured, modelled and served across multiple domains, • Embed data quality, testing, reliability and performance standards into pipelines, • Contribute to CI/CD and modern engineering best practices within the data platform, • Act as a technical mentor, supporting and guiding other Analytics Engineers, • Work closely with Data Engineers, BI teams and business stakeholders to deliver impact Your Skills & Experience • Strong commercial experience as an Analytics Engineer operating in a modern data platform, • Advanced data modelling capability, including dimensional and semantic modelling, • Strong PySpark development experience within a Lakehouse environment, • Advanced SQL skills for complex transformations, • Hands-on experience with Databricks, including pipelines and governance tooling, • A strong engineering mindset, with a focus on reliability, testing and maintainability, • Proven ability to mentor others and provide technical leadership, • Comfortable operating at the intersection of business and engineering

💡 Role Overview We’re hiring our first engineer dedicated to internal go-to-market and operations systems. This is a foundational role where you’ll design and build an AI-first internal stack from scratch, enabling Sales, Finance, Ops, and Customer Success to operate at maximum velocity. You’ll have end-to-end ownership across tooling, data, and automation; shaping not just systems, but how the company runs. In this role, you will: • Architect and implement an AI-native internal tech stack, influencing infrastructure decisions and long-term direction, • Rapidly ship internal tools and workflows, iterating directly with teammates who use them daily, • Build and maintain our data warehouse and internal data architecture, • Develop automation systems leveraging LLMs, agents, and modern AI tooling, • Help define engineering standards and culture as we scale 🔥 About You We’re looking for someone who genuinely enjoys building tools that make commercial teams faster and more effective. You likely: • Have led projects independently from idea to production, and are comfortable collaborating with multiple senior stakeholders, • Communicate clearly and can translate ambiguous business needs into structured technical solutions, • Are familiar with commercial and operational tooling such as Notion, Slack, Retool, Amplitude, Stripe (or similar ecosystems), • Sales, Finance, Ops, and Customer Success teams will rely on you to improve efficiency and introduce AI-driven workflows, • Are highly proficient in PostgreSQL and at least one major data platform (e.g., Snowflake, BigQuery, Databricks, Firebolt), • Experience with Node.js and TypeScript is a plus, • Thrive in fast-paced startup environments and feel energized by ambiguity, • Move quickly and constantly look for ways to ship faster Bonus: Experience designing or building AI-powered internal tools or automation systems. 🚀 Why Join Us • Autonomy with mentorship: You’ll be the first London-based engineer with high ownership, while receiving guidance from a senior engineering team in NYC. You’ll travel to NYC for onboarding and project collaboration., • Exceptional traction: 10× revenue growth in 2025, profitable, and trusted by leading firms including MBB, Big 4, and top-tier mega-funds., • Flat structure: Minimal layers between you and leadership. Direct access to the CTO and CEO, with meaningful responsibility from day one.

Machine Learning Engineer Location: London (Hybrid, approx. 3 days per week onsite) Salary: Up to £65,000 (depending on experience) NOTE: Candidates must be eligible for UK Developed Vetting (DV) This is an opportunity to work at the forefront of applied AI within highly secure and mission-critical environments. You’ll be contributing to the development of advanced machine learning and generative AI solutions that deliver real-world impact across complex, high-stakes domains. You will be embedded within a multidisciplinary engineering team, working across the end-to-end delivery of machine learning systems. This includes building models, running experiments, and deploying scalable solutions using modern cloud and MLOps tooling. Key Responsibilities Include: • Designing and developing machine learning models (e.g. classification, forecasting, anomaly detection), • Supporting experimentation cycles: hypothesis definition, testing, and evaluation, • Contributing to the deployment of models into production environments, • Building and maintaining ML pipelines using AWS services, • Assisting in the development of GenAI/LLM-based applications (e.g. prompt engineering, RAG pipelines), • Implementing best practices in experiment tracking, model versioning, and reproducibility, • Monitoring model performance and supporting continuous improvement, • Collaborating with engineers, data scientists, and stakeholders across the delivery lifecycle Required Skills & Experience • Minimum 1+ year of commercial experience in machine learning or data science, • Strong Python skills with experience in ML frameworks such as scikit-learn, PyTorch, TensorFlow, or XGBoost, • Exposure to AWS services (e.g. S3, Lambda, SageMaker), • Understanding of core ML concepts: model evaluation, validation, and experimentation, • Familiarity with MLOps or experiment tracking tools (e.g. MLflow, Weights & Biases), • Awareness of LLMs or generative AI concepts, • Strong problem-solving ability and willingness to learn in a fast-paced environment, • Ability to communicate technical concepts clearly Desirable Experience • Experience with LLM frameworks (e.g. LangChain), • Knowledge of vector databases or RAG architectures, • Exposure to Docker or containerised environments, • Familiarity with data processing tools (e.g. Spark, Dask), • Understanding of CI/CD or infrastructure as code If you are an ambitious Machine Learning Engineer looking to build real-world AI systems in a high-impact environment, apply today.

💻 Job title: Senior Platform Engineer 💰 Salary: £100,000 – £135,000 📍 Location: London – Hybrid 🏢 Company: B2B SaaS scale-up (4th fastest scaling start-up in Europe, 2025) 👥 Team: 40 engineers today, scaling to 80 by end of year - platform team of 4 📈 Stage: High-growth, Series-level scale-up The company One of Europe's fastest-scaling B2B SaaS businesses, growing from 40 to 80 engineers this year. The platform team is small, senior, and foundational - they own the infrastructure patterns, shared services, and developer experience that the entire engineering org runs on. It's a build-it-own-it culture where platform sets the guardrails and trusts other teams to ship within them. The role This isn't an ops or babysitting role. You're a senior engineer who's moved into platform work and wants real ownership - building the infrastructure layer that 35+ engineers depend on every day, and shaping how AI tooling gets integrated into the platform from the ground up. 🫵 What you'll be doing: • Writing TypeScript across both application code and infrastructure as code (Pulumi - recently migrated from CDK), • Designing, building, and maintaining AWS serverless infrastructure patterns at scale, • Owning foundational services - SSO, authentication, notifications, and core shared services, • Integrating AI tooling into the platform infrastructure - greenfield, high-ownership work, • Driving observability and DevX improvements - internal tooling, developer workflows, reducing friction across the org, • Setting the patterns and guardrails that enable engineering autonomy across the business ✅ Must-haves: • Strong software engineering background with a shift into platform or infrastructure work, • Deep AWS knowledge - serverless in particular, • TypeScript fluency (application and IaC), • High-growth startup experience - you know what it means to scale fast, • B2B SaaS background preferred 👍 Bonus points for: • Experience with Pulumi or CDK, • Previous work on internal developer platforms or DevX tooling, • Exposure to AI/LLM infrastructure integration, • Observability tooling (Datadog, OpenTelemetry, etc.)

Role Summary Aubay is seeking a Principal Data Engineer to join a leading energy client’s team who will conceptualize and design data foundations and end-to-end solutions, including data platforms, to maximize value from data. The role promotes a data-driven culture across IT teams and wider business stakeholders, acting as a subject matter expert and thought partner in defining the vision and data strategy for robust, future-ready IT solutions. Required skills and experience • Strong proficiency with cloud platforms: AWS, Azure, SAP, • Expertise in ELT development and automation with scalable pipeline design, • Mastery of data modeling techniques, • Skilled in data ingestion, integration, and transformation using modern tools (Data Factory, Databricks, SQL DB, Synapse, Glue, Airflow, Kinesis, Redshift), • Hands-on experience with DevOps tooling: GitHub Actions, Azure DevOps, SonarQube, PyTest, • Proven ability to coordinate incident, problem, and change management processes, • Strong communication skills with both technical and non-technical stakeholders, • Demonstrated experience in technical documentation and maintaining high-quality solution documentation Desired skills and experience • Experience in project management or leading Agile/Scrum teams, • Experience with financial or operational planning tools (e.g., SAP BPC), • Familiarity with external partner ecosystems and cross-functional delivery models, • Ability to mentor and guide junior engineers, • Experience contributing to enterprise-scale data transformation projects, • Knowledge of trading, supply, or energy domain data models, • Experience with MKDocs documentation Role Responsibilities • Design and deliver scalable, cloud-based data engineering solutions, • Lead efforts to modernize data platforms, including migration of legacy systems to cloud infrastructure, • Manage data ingestion, integration, and transformation workflows while ensuring high standards of data quality, governance, and performance, • Collaborate with IT and business stakeholders to translate strategic goals into actionable data architecture and solutions, • Act as a subject matter expert, mentoring junior engineers and providing technical guidance, • Coordinate incident, problem, and change management processes, ensuring minimal disruption and timely resolution, • Present technical findings, reports, and recommendations to stakeholders, • Drive implementation efficiency across pilots and enterprise projects to maximize value delivery, • Contribute to community-building initiatives such as Centres of Excellence (CoE) and Communities of Practice (CoP)

Backend Software Engineer - Python Location: London (in-office 4 days per week, non-negotiable) Type: Full-time Reports to: Head of Engineering Salary: £90,000-£105,000 + benefits Are you a Senior Backend Engineer who thrives on designing and scaling complex systems? Do you enjoy working on data-intensive platforms involving Real Time pipelines, streaming architectures, and graph-based services? This is a hands-on role within a small, research-driven engineering team working on high-complexity systems. You will take ownership of key components from architecture through to production, while contributing to the overall technical direction. Key Responsibilities • Design, build, and own Back End services and data pipelines in Python, • Develop and operate streaming systems using Kafka or similar technologies, • Work with graph-based data structures and algorithms to support analytics and decision-making, • Build reliable, scalable systems that process Real Time data from distributed edge devices, • Lead technical decisions across architecture, tooling, and system design, • Collaborate with data scientists and ML engineers to deploy models into production, • Mentor engineers and contribute to engineering best practices, • Improve observability, monitoring, and incident response processes, • 5+ years of experience building and operating Back End systems in production, • Strong proficiency in Python, • Experience with streaming systems (Kafka, Pulsar, or similar), • Familiarity with graph data structures and algorithms, • Experience working with databases (MongoDB or similar), • Solid understanding of distributed systems concepts and trade-offs, • Proven experience owning systems end-to-end, • Experience with Git and collaborative development workflows, • Ability to make independent technical decisions and clearly communicate trade-offs, • Private health and dental coverage, • 25 days holiday, • Enhanced parental leave, • High-quality hardware, • Additional perks (workspace benefits, team events, and more)

Senior Forward Deployed Engineer Location: UK (Remote) Our client is a high-growth, venture-backed AI company transforming how the insurance industry operates. They’ve built an AI-native platform that redefines decision-making across the full policy lifecycle — enabling insurers to move faster, make smarter underwriting decisions, and drive better outcomes in an increasingly complex risk landscape (climate, cyber, etc.). Backed by top-tier investors and operators from some of the world’s most successful SaaS companies, they’re scaling quickly and looking for exceptional talent to join the journey. The Role This is a highly impactful, customer-facing engineering role where you’ll sit at the intersection of product, engineering, and delivery. You’ll work directly with customers to deploy and optimise the platform, solving complex technical challenges and ensuring successful implementations from end to end. This is a hands-on role — ideal for someone who enjoys coding, problem-solving, and working closely with users in a fast-paced, startup environment. What You’ll Be Doing • Partner with engineering and delivery teams to implement the platform for enterprise customers, • Work cross-functionally to design, build, and deploy technical solutions across the full lifecycle, • Own customer implementations — from discovery and solution design through to deployment and post-go-live optimisation, • Write and debug production-level code (Python, JavaScript, SQL) for integrations and internal tooling, • Identify opportunities to automate workflows and improve internal and external processes, • Act as a trusted technical partner to customers, ensuring a seamless delivery experience What They’re Looking For • UK-based (remote), • 5–8+ years in a technical, customer-facing role (e.g. FDE, Solutions Engineer, Implementation Engineer, or similar), • Strong coding ability in JavaScript and SQL (Python a plus), • Experience working directly with customers on complex technical implementations, • Comfortable operating across engineering, product, and customer environments, • Strong problem-solving skills with the ability to navigate ambiguity, • Experience in high-growth startups or fast-paced environments is a strong plus, • Degree in Computer Science or a related field (or equivalent experience) Why Join • Early impact — work closely with leadership and help shape how the platform is deployed globally, • High ownership — own end-to-end implementations and influence product direction, • Strong backing — well-funded with proven leadership from top-tier SaaS companies, • Cutting-edge tech — AI-native platform solving real-world, high-stakes problems • • Fast-moving, collaborative culture with a strong focus on learning and impact

Who We Are? ITC Infotech is a leading global technology services and solutions provider, led by Business and Technology Consulting. ITC Infotech provides business-friendly solutions to help clients succeed and be future-ready, by seamlessly bringing together digital expertise, strong industry specific alliances and the unique ability to leverage deep domain expertise from ITC Group businesses. The company provides technology solutions and services to enterprises across industries such as Banking & Financial Services, Healthcare, Manufacturing, Consumer Goods, Travel and Hospitality, through a combination of traditional and newer business models, as a long-term sustainable partner. What we are looking for ? We’re looking for a hands-on L3 Support Engineer who will act as the escalation point for critical production issues across trading and risk systems. The role focuses on deep incident diagnosis, partnering with engineering for fixes and reliability improvements, and building the tooling, runbooks, and documentation that enable L1/L2 teams to resolve issues faster. Key Responsibilities • Own L3 escalations end-to-end: triage, root cause analysis, remediation, and post-incident follow-up with engineering and stakeholders., • Partner with product and engineering to improve reliability, operability, and supportability of applications, including logging, metrics, and alert quality., • Develop scripts, runbooks, diagnostics, and quality-of-life tools that streamline investigations and reduce meantime to resolution., • Create and maintain clear documentation for L1/L2 teams; deliver enablement sessions as needed., • Contribute to incident reviews and problem management, driving permanent fixes and automation for recurring issues., • Participate in a limited weekend/on-call rotation (approximately 4–6 weekends per year) with compensating time-off per policy. Required Skills & experience • Bachelor’s degree (or equivalent experience) and 3+ years in software engineering or production support., • Proficient in Java or a similar language; strong debugging skills and ability to write scripts for diagnostics and updates. Familiarity with Linux and bash., • Clear, empathetic communicator capable of translating complex technical issues for diverse audiences., • Demonstrated bias for action: resolve incidents while building long-term fixes and automations., • Strong problem-solving: identify edge cases, add validations, and anticipate failure modes., • Experience with SDLC and support tooling: GitLab, incident management, JIRA, and standard ticket triage/prioritization. Preferred qualifications: • Experience supporting trading systems or desks at a large investment bank., • SQL proficiency for rapid data validation and incident triage., • Experience with object-oriented programming and microservices-based Java/SOA environments., • Monitoring/alerting setup and tuning (e.g., Prometheus, Grafana, Kibana, PagerDuty)., • Knowledge of Fixed Income products (Rates, Credit, FX, Commodities) and related market workflows., • Familiarity with DevOps/CI/CD practices and agile delivery. Our X-Factor • Work ethic: You are a consummate professional., • Aptitude: You have an innate capacity to transition from project to project without skipping a beat., • Communication: You have excellent written and verbal communication skills for coordination across projects and teams., • Impact: You are a critical thinker with an emphasis on creativity and innovation., • Passion: You have the drive to succeed paired with a continuous hunger to learn., • Leadership: You are trusted, empathetic, accountable, and empower others around you.

Software Engineer (Senior) | C#/.Net & SQL Server | Systematic Hedge Fund Trading Live Markets • Salary: £120,000 – £160,000 + bonus (up to 100%), • Location: London (city) (primarily office-based) My client is a long-established systematic hedge fund, just under 20 people in total, with roughly half the business sitting in engineering. They’ve been running for over two decades, quietly successful, and very deliberate about how they build both software and teams. You’d be sat directly on the trading floor in London, working alongside traders, engineers, and the CEO day to day. It’s a tight-knit environment where technology isn’t a support function, it is the business. The systems you’ll be working on are the ones executing trades in live markets. The role itself sits right at the centre of that. You’ll be evolving a long-lived execution platform while contributing to a broader modernisation effort. Day to day, that means a mix of careful refactoring, incremental improvements, and responding to real-time trading needs. You’ll be speaking directly with end users, making changes that have immediate impact, and shaping how the platform develops longer term. Non-Negotiables • Degree in STEM subject (Computer Science, Maths, Physics or similar), • 2:1 or above (or equivalent), • C# / .Net (strong production experience), • SQL / relational databases, • Financial services engineering (direct exposure required), • Trading systems or execution platforms, • Hedge fund / systematic trading environment, • Algorithmic trading software development, • Software testing and safe refactoring practices, • Clear technical communication (working with traders and senior stakeholders) What You'll Work With • C#, • .NET Framework, • SQL Server, • WinForms desktop applications, • Azure, • Kafka, • Automated testing frameworks, • Legacy platform modernisation Nice to Haves • Futures, options, or crypto markets, • Python, • DevOps tooling, • High-availability systems, • Large-scale refactoring work, • Containerisation (Docker) Why Join / Projects This is one of those environments where the gap between engineering and trading doesn’t really exist. You’ll be sat with the people using what you build, which changes the nature of the work quite a bit. There’s a genuine mix of challenges here. Part of the role is careful, considered work on an established platform that’s been evolving for years. The other side is contributing to where it goes next, with plans around modernising the architecture and improving how new strategies are built and deployed. It’s also a small team, which means your work doesn’t disappear into a backlog. You’ll see the outcome of what you build, and you’ll have a say in how things are done. Access to leadership is direct, and expectations are high, both technically and academically. Employee Benefits • Bonus up to 100% of base salary, • Highly collaborative, front-office environment, • Direct access to traders and senior leadership, • Long-term, engineering-led culture Software Engineer (Senior) | C#/.Net & SQL Server | Systematic Hedge Fund Trading Live Markets

Senior Flight Software Engineer £65,000 (flexible depending on experience) Competitive Benefits Package Remote, UK Permanent We are looking for a talented Senior Flight Software Engineer to join a fast-growing AI and robotics safety startup. The business is expanding its engineering team as it continues to build cutting-edge assurance systems for AI-enabled robotics and autonomous systems. The company develops advanced safety and assurance technology designed to ensure autonomous systems operate safely, predictably, and with optimal performance. Their solutions focus on robotics and AI applications where reliability and safety are critical. You will play a key role in developing software components that enable the safe and reliable operation of autonomous robotic systems within the wider robotics platform. Working closely with embedded systems, AI/ML, and systems architecture teams, you will help design, develop, and validate robotics software that meets high performance and safety standards. We are looking for someone who enjoys working in a startup environment and is motivated by solving complex technical challenges. This is an opportunity to work on cutting-edge robotics technology while helping shape products from an early stage. Key Responsibilities: • Design, develop, and implement robotic software components and algorithms across perception, planning, control, and decision-making systems, • Collaborate with embedded engineers, AI/ML specialists, and system architects to integrate software into the wider robotics platform, • Conduct testing, optimisation, and validation to ensure software meets safety and performance requirements, • Contribute to improving development processes, tooling, and methodologies for robotics systems, • Stay up to date with advancements in robotics software, algorithms, and frameworks and apply them within the product, • Mentor junior engineers and support knowledge sharing across the engineering team Key Skills • Bachelor’s or Master’s degree in Computer Science, Aerospace Engineering, Robotics, Electrical Engineering, or a related discipline, • Proven experience developing software for robotic or autonomous systems, • Strong proficiency in C/C++ and Python, • Experience with robotics frameworks such as ROS, Gazebo, or MoveIt, • Strong understanding of robotics algorithms including perception, planning, control, and decision-making, • Experience with modern software development practices such as Agile, CI/CD, and Test-Driven Development, • Excellent analytical, debugging, and problem-solving skills, • Strong communication and collaboration skills Desirable Skills: • Experience working on safety-critical or mission-critical systems, • Familiarity with safety standards such as DO-178C, ISO 26262, or IEC 61508, • Experience working in robotics, autonomous systems, aerospace, UAV, or defence environments, • Experience mentoring or supporting junior engineers What you get in return: • Salary £65,000, • Generous holiday allowance, • Salary sacrifice pension with 5% matched company contribution, • EV car scheme, • Cycle to work scheme, • Work from home, • Opportunity to work on cutting-edge AI, robotics, and safety technologies in a fast-growing startup environment This company is an equal opportunity employer and values diversity. They do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Interested? Please submit your CV via the link provided. Alternatively, for a confidential discussion about the role, please get in touch directly.

Lead Engineer / Engineering Lead\n\nHigh-growth AI x Investment Technology Startup | London | Full-time (Hybrid c. 3/4 days)\n\nIn short\n\nOur client is building an intelligent AI platform that will redefine how investors access, analyse, execute and manage alternative assets (e.g., Private Equity, Private Credit). With an MVP in market and backing secured from a strong group of investors and industry operators, we’re now looking for an exceptional Lead Engineer / Engineering Lead to help scale a category-defining product.\n\nDo you want to join a fast-paced, high-trust startup at the intersection of AI and finance? Stay hands-on, build from the ground up, and grow a world-class engineering function around you?\n\nAbout the company\n\nThis is an early-stage London startup modernising how institutional and sophisticated investors operate in alternative assets — a multi-trillion-dollar market that remains under-served by modern software.\n\nThe product leverages LLMs, AI automation, and agentic workflows to streamline complex due diligence and investment processes, helping users move faster with more confidence.\n\nWho we’re looking for\n\nWe’re seeking a Lead Engineer who thrives in a high-ownership environment and loves all things AI. You’ll be coding from day one, setting technical standards, shaping architecture, and building the foundations of a platform that’s transforming how investment decisions get made.\n\nYou’ll likely enjoy this role if you:\n\n * \n\n Take initiative and deliver without needing heavy direction\n\n * \n\n See complexity as an opportunity to simplify and innovate\n\n * \n\n Lead by doing and aren’t afraid to get into the weeds\n\n * \n\n Want to grow, build, and lead from the front\n\nWhat you’ll do\n\n * \n\n Own and evolve the architecture of an AI-driven investment intelligence platform\n\n * \n\n Stay hands-on across the stack: front-end UX/UI, backend services, AI integrations, and infrastructure\n\n * \n\n Partner closely with the CTO, product, and data/ML stakeholders to ship intelligent automation and decision-support tools\n\n * \n\n Hire, mentor, and develop a small, elite engineering team; set the cultural and technical bar\n\n * \n\n Drive technical strategy across scalability, security, and reliability, while remaining deeply involved in delivery\n\n * \n\n Evaluate and integrate emerging AI tooling and (where relevant) blockchain frameworks to keep the platform ahead of the curve\n\nMust-haves\n\n * \n\n 5+ years’ commercial software engineering experience, including 2+ years in a technical/team lead capacity\n\n * \n\n Strong ownership mindset; clear communicator who executes and raises the bar through action\n\n * \n\n Strong Node.js, React, TypeScript experience. Python for AI workflows and automation.\n\n * \n\n Experience with AI/LLM frameworks (e.g., LangChain, Vertex AI, LiteLLM, OpenAI APIs)\n\n * \n\n Hands-on GCP experience plus DevOps best practices (observability, monitoring, scaling)\n\n * \n\n Experience designing/maintaining CI/CD pipelines; familiarity with SaaS platform architecture\n\nNice-to-haves\n\n * \n\n Familiarity with RAG, autonomous agents, and/or Model Context Protocol (MCP)\n\n * \n\n Experience with blockchain platforms, tokenisation frameworks, or Web3 integrations\n\n * \n\n Domain exposure to fintech, asset management, or due diligence automation\n\nWhy join\n\n * \n\n Build a platform shaping the future of investing in alternative assets through AI-driven automation\n\n * \n\n Work hands-on from day one: design, build, ship, and set the technical standard\n\n * \n\n Collaborate closely with an experienced CTO and leadership team\n\n * \n\n Build and lead the engineering function as the company scales\n\n * \n\n High impact: your architecture, code, and leadership will directly shape product and growth\n\n * \n\n Join a mission-driven startup with strong early backing, moving quickly with ambition and autonomy

🔥 Who We Are At Ultralytics, we relentlessly drive innovation in AI, building the world's leading YOLO models. We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of AI. 🌎 Location and Legalities This full-time Solutions Engineer position is based onsite in our brand-new Ultralytics office in London, UK, with a hybrid model of 3 days in-office and 2 days remote. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship. 🚀 What You'll Do As a Solutions Engineer at Ultralytics, you will be the technical face of our organization, working directly with clients to architect and deploy computer vision solutions using the YOLO ecosystem. Key responsibilities include: • Collaborating with clients to understand their use cases and challenges, architecting end-to-end solutions using YOLO models., • Delivering high-quality technical demos, onboarding sessions, proof-of-concepts, and workshops that demonstrate the power of Ultralytics tooling., • Designing annotation strategies and model training pipelines tailored to client data, goals, and deployment constraints., • Debugging client issues and delivering effective solutions with deep understanding of YOLO, Python, OpenCV, and model behavior., • Supporting pre-sales efforts by participating in technical discovery calls and helping shape proposals and SLAs., • Serving as a key technical advisor during customer engagements, ensuring successful integration and continued satisfaction., • Interfacing with Sales, Marketing, Engineering, and Product teams to advocate for customer needs and influence roadmap priorities., • Acting as a strategic technical advisor to clients, shaping computer vision solutions that drive tangible business outcomes., • Representing Ultralytics at conferences, webinars, and customer events while contributing to technical blog posts and educational materials. Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models like YOLO11 to the community. 🛠️ Skills and Experience • 5+ years of experience in Computer Vision, Machine Learning, or applied AI roles., • Excellent client-facing skills: patient, resilient, and able to communicate clearly with technical and non-technical stakeholders., • Proficiency in Python and familiarity with the YOLO ecosystem., • Hands-on experience with OpenCV, PyTorch, and classical ML/CV concepts., • Strong understanding of end-to-end model lifecycles, including data collection, preparation, training, evaluation, and deployment., • Experience with Docker and comfort working across Linux, macOS, and Windows environments., • Demonstrated ability to teach or mentor teams and developers through courses, bootcamps, workshops, or community engagement., • Comfort leading workshops, writing technical guides, or presenting to developer audiences. 🌟 Cultural Fit - Intensity Required Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our mission, vision, and values. Our team thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI. 💶 Compensation and Benefits • Competitive Salary: Highly competitive based on experience., • Startup Equity: Participate directly in Ultralytics growth and success., • Hybrid Flexibility: 3 days per week in our brand-new office - 2 days remote., • Generous Time Off: 24 days vacation, your birthday off, plus local holidays., • Flexible Hours: Tailor your working hours to suit your productivity., • Tech: Engage with cutting-edge AI projects and our Ultralytics HUB., • Gear: Brand-new Apple MacBook and Apple Display provided., • Team: Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity.

London, UK Contract Up to £700p/d (Outside IR35) We’re working with an early stage start up focused on AI HR tooling to drastically improve performance and efficiency. They are a small, focused team looking for a Senior Backend Engineer to help them scale up their AI platform and make a real impact. They are looking for an engineer with strong commercial use of either Java, Kotlin or Scala and proficiency with Python to help modernise their codebase. Responsibilities: • Build and scale backend systems for AI-driven automation products, • Collaborate with product and frontend teams on planning and decision-making, • Contribute to architecture, design, and scaling efforts, • Manage CI/CD pipelines and cloud infrastructure deployments, • Collaborate directly with our CEO and CTO to architect end-to-end backend solutions Key Requirements • Strong programming skills in the JVM ecosystem, • Some proficiency in Python, • 6+ years of backend development experience, • Proven experience with microservices architecture and RESTful APIs, • Proficient with both NoSQL and SQL databases, • Excellent communication skills, both written and verbal Why Join? • Salary: Competitive day rate of up to £700p/d, • Room for innovation with new tech, • Exposure to AI-driven products, • Hybrid working model and a collaborative culture, • Be a part of of a curious, motivated, nimble team making a real impact **Unfortunately, due to the high volume of applicants not all submissions will receive feedback.

Senior Shopify Engineer | Join as part of a brand new team @ Series B Scale Up disrupter! Location: London (3 days in office) Salary: £75,000 - £95,000 I’m looking for a specialist to join a Series B disruptor shaking up a $500bn industry. They are looking to hire a Senior Shopify Engineer to own their custom theme and build a modular, high-performance ecosystem that serves as a "poster-child" for the industry. 📋 The Requirements for a Senior Shopify Engineer • Shopify Plus Expert: Proven experience developing on Shopify Plus with an "inside out" knowledge of Liquid, Admin API, and Storefront API., • Modern Frontend Stack: Proficiency in modern CSS and JavaScript frameworks., • Architectural Thinking: Ability to build a library of reusable "Sections" and "Blocks" that empower commercial teams to move at lightning speed., • Tooling & CI/CD: Comfortable with the Shopify CLI, GitHub, and automated CI/CD systems for safe, scalable releases. ✨ Why This Role is Different • True Ownership: As a Senior Shopify Engineer, you won’t just "hack it together", you’ll lead the way in building a codebase the whole team is proud of., • Innovation: Utilize Shopify Functions and Checkout UI Extensions to customize the purchase flow in a way that is upgrade-safe and scalable., • The Culture: You’ll be translating high-fidelity designs into pixel-perfect reality for millions of members., • The Perks: Hybrid working (3 days in Central London), stock options, private medical insurance, and a free membership. If you are interested in this Senior Shopify Engineer opportunity, and would like to learn more about it, please apply! Senior Shopify Engineer | Join as part of a brand new team @ Series B Scale Up disrupter!

Lead Application Security Engineer Bristol or London - 3 days a week on site £100,000 + great benefits An impressive financial services business is looking to hire a Lead Application Security Engineer to support this team with the risk and remediation activities. This business is going through a big technology transformation programme that is estimated to take 3 -5 years. The successful Lead Application Security Engineer will be part of this journey and have great technical exposure and the ability to rapidly progress. Working closely in one of transformation projects, the successful Lead Application Security Engineer will work closely with the wider security and technology teams to define the strategy and roadmap of technology changes moving forward. This is very much a play-manager role with the Lead Application Security Engineer being hands on day to day but also providing support and guidance to the rest of AppSec team Lead Application Security Engineer- Duties and Responsibilities The successful Lead Cloud Security Engineer will have responsibilities covering: Team Leadership • Support the existing team, providing mentoring and fostering a collaborative team environment, • Take pragmatic risk-based approach to supporting the wider technology teams with the SDLC, • Foster strong relationships with engineering, architecture, platform and platform management to provide practical risk appropriate guidance, • Act as the SME and for application security in the business and ensure that security controls are adopted early into the CI/CD pipelines, • Own and run the DAST, SAST and other AppSec tooling to ensure effective coverage across all in scope applications, • Create, roll out and maintain secure development practices and standards including threat modelling, secure coding practices for all applications and APIs, • Collaborate with the Vulnerability Engineering Lead to support the identifications, triages, and remediation programs in alignment with risk appetite, appropriate prioritisation and agreed SLAs Lead Application Security Engineer - Your Background The ideal Lead Application Security Engineer will have: • Experience in a similar role, in both responsibility and scale, • Proven experience in Software Security Development or Application Security, • Proven experience in leading/coaching a team, • Hands on experience with implementing and operating AppSec tooling eg SAT and DAST, secret managements, and SCA, • Extensive experiences of integrating security into the CI/CD pipeline eg using AWS DevOps or GitHub, • Strong history of secure coding practices, threat modelling and vulnerability management in production We invite individuals from underrepresented groups to apply for any of our roles and are committed to supporting accessibility needs. Please click the apply button now or contact Abigail Moss for more information

Contract DevSecOps Engineer (Microsoft Azure) We are supporting a large, complex organisation in appointing an experienced DevSecOps Engineer to design, implement, and support secure cloud deployment pipelines across a Microsoft Azure technology estate. This is a hands-on contract opportunity suited to someone with strong Azure DevSecOps expertise who enjoys working collaboratively across engineering, security, cloud operations, and external partners to deliver secure and reliable platforms. Location: London - Hybrid (minimum 3 days per week onsite) Rate: Competitive (dependent on experience) Start Date: ASAP Duration: Initial 3 months Key Responsibilities • Design, build, and support secure CI/CD pipelines within Azure DevOps, • Implement DevSecOps frameworks and best practices across the Azure environment, • Integrate security tooling into pipelines including SAST, DAST, dependency scanning, and secret scanning, • Develop and maintain Infrastructure as Code using BICEP and ARM, • Enable secure, automated, and repeatable deployment pipelines across Azure services, • Support deployment within Power Platform and Microsoft Fabric environments, • Implement monitoring, logging, and alerting using Azure Monitor, Application Insights, and Log Analytics, • Design and support identity and access management controls across environments, • Support incident response, recovery processes, and operational resilience, • Design backup and recovery strategies, ensuring RTO/RPO requirements are met, • Develop scripts and automation tools using PowerShell and Python, • Plan testing, release readiness, and deployment activities with engineering teams, business stakeholders, and external partners, • Monitor pipeline performance and proactively identify and resolve issues, • Work closely with Engineering Leads and Security teams to ensure solutions align with organisational standards and best practices, • Support configuration and management of development, test, UAT, and production environments, • Promote continuous improvement across DevSecOps tooling, processes, and automation Skills & Experience Required • Strong Microsoft Azure platform expertise, • Proven hands-on experience building and securing CI/CD pipelines in Azure DevOps, • Strong experience with Infrastructure as Code (BICEP and ARM), • Experience integrating security tooling into DevSecOps pipelines, • Experience designing DevSecOps frameworks and secure cloud deployment processes, • Experience with Azure monitoring and observability tools (Azure Monitor, App Insights, Log Analytics), • Strong scripting skills (PowerShell and Python), • Experience working with Power Platform and Microsoft Fabric deployments, • Experience with identity and access management in Azure environments, • Understanding of backup and recovery design including RTO/RPO, • Experience supporting incident response and recovery, • Strong problem-solving and troubleshooting skills, • Experience working collaboratively with engineering teams, security teams, and third-party partners Working Style • Strong communication skills with both technical and non-technical stakeholders, • Comfortable influencing without authority, • Collaborative approach across engineering, security, and business teams, • Self-starter with a continuous improvement mindset, • Delivery focused within a complex enterprise environment Working Pattern • Hybrid working model - minimum 3 days per week onsite in London Please send your CV to to progress matters. • Services Advertised are those of an Employment Business

Windows Platform Engineer with advanced PowerShell & IaC experience sought by a Elite and London-headquartered Alternative Investment Manager. Our client is highly innovative and technology-driven and is largely recognised as a Centre-of-Excellence for all things Microsoft. We have been mandated to identify a high-energy and proactive Windows Automation & Platform Engineer with expertise in PowerShell, a passion for Infrastructure-as-Code, and robust experience and skills with Microsoft Infrastructure Platforms. You will join a small but highly collaborative and logical team owning Wintel platforms and Automations across complex, multi-site environments, in a Project Lead Engineer capacity. You will work directly with highly sophisticated customers managing Billions of AUM via Systematic Strategies as well as partnering with Peer Technology teams. You will own Windows-based infrastructure and IaC projects from an idea, into architecture and design through implementation, testing, and operational handover. We require someone who enjoys working with users in order to build trust and confidence, with high energy and enthusiasm who enjoys learning and keeping very busy with highly varied and deeply technical engineering work, in a flat non-bureaucratic environment with state-of-the art platforms. Requirements • Deep expertise in Windows Server Administration (e.g. Active Directory, Group Policy, DNS, DHCP, file/print services)., • Automate everything: using PowerShell or your language of choice to eliminate toil and fix issues at the source. This should include PowerShell Tooling and Multi-Function Modules., • Apply Infrastructure as Code principles to deliver repeatable, version-controlled infrastructure., • Hands-on experience with virtualization technologies (e.g. VMware, Hyper-V, VDI) and cloud (e.g. Azure, AWS)., • Strong understanding of enterprise security and compliance requirements in modern Windows environments., • The ability to continuously assess and improve existing systems, designing scalable, secure solutions that stand the test of time., • Clear communicator who documents designs, implementation plans, and lessons learned., • Collaborative mindset - able to work seamlessly with engineers, vendors, and stakeholders to get things done., • Logical and demonstrable problem solver with fantastic communication skills (concise/to the point/honest/humble...)., • Experienced working in high performance, fast-paced, and demanding environments with a level of autonomy., • Finance / Trading experience is not a requirement, but applicants must have experience of directly supporting users in an advanced and mission-critical Windows Infrastructure environment. This is an outstanding opportunity for a talented, enthusiastic and deeply technical Wintel Engineer to take ownership of one of the most advanced Windows environments in London. Candidates must be able to work onsite in Central London four days per week, with standard working hours if 8am-6pm. In return, you will be able to build a long-term career in a highly innovative and modern business, with outstanding remuneration (base salary and annual bonus) and excellent benefits.

BigID Implementation Engineer – Permanent – Immediate Start Location: UK (Remote with occasional client-site travel) Employment Type: Permanent Start Date: ASAP Salary: Competitive + benefits A global consulting organisation is expanding its Data Governance & Privacy practice and is looking for a BigID Implementation Engineer to deliver enterprise‑scale implementations across a range of end‑client environments. This role is ideal for someone who has hands‑on BigID experience and enjoys working in technical, client-facing projects where you own the integration end‑to‑end. The Role As a BigID Implementation Engineer, you will: • Lead the deployment, configuration and integration of BigID within complex enterprise environments., • Work directly with client stakeholders to understand data governance, privacy and discovery requirements., • Design and deliver scalable solutions that replace legacy tooling with BigID’s modern platform., • Build connectors, customise workflows, and ensure successful ingestion and classification of client data assets., • Provide technical guidance, troubleshooting and best‑practice recommendations throughout implementation., • Collaborate with internal consulting teams and technical SMEs to ensure smooth project delivery. What We’re Looking For • Strong hands‑on experience with BigID implementation or configuration., • Background in data governance, data discovery, privacy engineering, or similar technical domains., • Experience integrating enterprise tools into complex client environments (cloud/on‑prem)., • Familiarity with data catalogues, classification frameworks, metadata management or privacy compliance tooling., • Excellent stakeholder‑facing communication skills and the ability to translate technical detail into outcomes., • Ability to work in a fast‑paced consulting environment and deliver high‑quality solutions. Why Join? • Work for a globally recognised consultancy with a growing Data & AI practice., • Deliver BigID solutions across multiple industries and enterprise environments., • Strong career progression with opportunities to become a subject‑matter expert., • Collaborative culture with access to training, certifications and knowledge-sharing communities. How to Apply If you’re a BigID specialist looking for your next permanent opportunity and can start soon, I’d love to speak with you. Apply directly or reach out for a confidential chat.

Senior Firmware Engineer West London (Hybrid – 3 days onsite) Up to £65,000 + benefits Our client is an innovative and growing engineering-led organisation operating within the Consumer Electronics / Mobility sector. They are seeking a Senior Firmware Engineer to join their team and play a key role in developing embedded software for next-generation products. This is an exciting opportunity to work across the full product lifecycle, from early-stage prototyping through to production and manufacturing, within a collaborative and forward-thinking environment. Key Responsibilities • Develop clean, efficient, and scalable embedded software in C/C++, • Work closely with hardware engineers on board bring-up, debugging, and validation activities, • Design, implement, and maintain firmware for embedded systems, including motor control, sensor integration, and low-level drivers, • Troubleshoot and resolve complex issues related to real-time performance, timing, and signal integrity, • Contribute to system architecture, coding standards, and long-term platform strategy Candidate Profile Our client is looking for a motivated and proactive engineer with a strong background in embedded systems and a passion for solving complex technical challenges. Essential skills and experience: • Proven experience in embedded software development, • Strong programming skills in C and C++, • Experience across the software development lifecycle (requirements, design, implementation, testing), • Hands-on experience with embedded communication protocols such as BLE, CAN, I2C, UART, or SPI, • Ability to work independently as well as collaboratively within a multidisciplinary team Desirable experience: • Knowledge of functional safety standards (e.g. ISO 13849 or ISO 26262), • Experience with electric motors or inverter-driven systems would be highly advantageous, • Familiarity with RTOS-based development, • Experience using Python for tooling or automation, • Exposure to CI/CD environments (e.g. Jenkins, Docker), • Experience with version control systems such as Git What’s on Offer • Competitive salary of up to £65,000 plus a performance-related bonus, • Pension scheme, • 25 days annual leave plus public holidays, • Flexible working arrangements, including a compressed working schedule option, • Access to learning and development resources, • Health and wellbeing support, including confidential counselling services, • Regular social events and team activities, • Employee discounts and additional benefits Sound like you? Apply now!

About Scrumconnect Consulting: Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. With a strong commitment to user-centred design and agile delivery, and more to deliver innovative digital services that matter Role Overview: We're seeking a Azure DevOps Engineer to join our dynamic team. This role requires a blend of technical expertise, leadership, and a passion for cloud technologies. You'll be instrumental in automating, optimizing, and securing our Azure environments, driving efficiency, and innovation across our projects. Responsibilities: * Lead Azure infrastructure projects, ensuring best practices in CI/CD pipelines, monitoring, and security. * Collaborate with development teams to implement scalable and secure cloud solutions. * Drive the adoption of Infrastructure as Code (IaC) within Azure, enhancing automation and consistency. * Mentor junior DevOps team members, sharing knowledge and fostering a culture of continuous improvement. * Stay abreast of the latest Azure services and features, evaluating their potential impact on our projects. * Ensure system reliability and performance, troubleshooting, and resolving issues proactively. Qualifications: * Proven track record as an Azure DevOps Engineer, with extensive experience in Azure services. * Strong background in CI/CD tooling, containerization (Docker, Kubernetes), and IaC (Terraform, ARM templates). * Azure certifications (eg, Azure DevOps Engineer Expert, Azure Solutions Architect Expert) highly preferred. * Excellent problem-solving skills, with the ability to lead projects and teams effectively. * Familiarity with Agile methodologies and a commitment to best practices in DevOps. * Outstanding communication skills, capable of working collaboratively across multidisciplinary teams. What We Offer: * A key role in a consultancy at the forefront of public sector digital innovation. * Opportunities for professional growth, with access to training and certifications. * Competitive salary and benefits package, reflecting our commitment to our team's well-being and development. * A collaborative, inclusive work environment where your ideas and contributions are valued. Application Process: Interested in shaping the future of digital public services? Apply by sending your CV and a cover letter detailing your Azure DevOps experience and what motivates you to join Scrumconnect Consulting. At Scrumconnect Consulting, we embrace diversity and encourage applications from all qualified candidates, regardless of background. Join us, and let's innovate together. Diversity & Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation. We are committed to creating an inclusive environment where every individual is respected, valued, and supported. We welcome applications from candidates of all backgrounds and experiences, and we actively encourage applications from women, people with disabilities, underrepresented communities, and those seeking flexible working arrangements.

PRINCIPAL DEVOPS ENGINEER- SC CLEARED PRINCIPAL DEVOPS ENGINEER • Permanent opportunity for a Principal DevOps Engineer with SC Clearance., • Salary up to £110,000 DOE, • Hybrid opportunity with London based offices WHO ARE WE? We’re hiring for DevOps Engineers at principal level to join a top consultancy delivering cutting-edge solutions for industry-leading Public Sector and Defence clients. You’ll have the opportunity to work across multiple high-impact, innovative and mission-critical projects, shaping solutions that make a real difference. Due to the sensitive nature of the work, an SC Clearance eligibility is required. THE PRINCIPAL DEVOPS ENGINEER • Active SC Clearance or SC Clearance eligibility, • London Based or ability to travel to London., • Experience as in a Senior/ Principal DevOps/ Platform engineering role PRINCIPAL DEVOPS ENGINEER ESSENTIAL SKILLS • Strong Linux expertise (RHEL/CentOS) with experience supporting production systems, • Git for version control and collaborative development (GitHub / GitLab), • AWS cloud infrastructure, ideally with Infrastructure as Code using Terraform, • Kubernetes and container technologies (Docker) for modern platform environments, • Experience working with CI/CD pipelines and automation tooling (e.g. Jenkins, Bamboo), • Strong understanding of modern platform architecture, microservices and cloud-native systems, • Good communication skills and ability to provide technical leadership. TO BE CONSIDERED: Please either apply through this advert or emailing me directly on . For further information please call me: 02038540120/ 07842002894. By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS DEVOPS ENGINEER, DEVOPS, SITE RELIABILITY ENGINEER, PLATFROM ENGINEER, PLATFROM, CLOUD, AWS, AWS CLOUD, AWS ENGINEER, ANSIBLE, TERRAFORM, CLOUD SUPPORT, CLOUD INFRASTRUCTURE, DEFENCE, NATIONAL SECURITY, DV CLEARED, DV CLEARANCE, SECURITY CLEARED, SC CLEARANCE, NSD

Greetings We are Hiring Cyber Security Analyst in London/Norwich London/Norwich Hybrid Model This demand has 4 requirements open Purpose of Role Our CISO function comprises of Cyber Defence Centre, Business Resilience, Privacy & Information Management, Strategy & Operating Office and Security Design, Innovation & Enablement. The Security Engineer is a member of the Security Engineering team within the Cyber Defence Centre, and reports to the Security Engineering Manager. The purpose of this role is to provide security related technical and functional support for DLG security tooling and services, overseeing the delivery of security services to a high standard, and maintaining the health and effectiveness of controls to ensure we are adequately protected against existing and horizon threats identified by our Threat Intelligence and Operational Security teams. Key Accountabilities/Responsibilities • Maintaining the overall security integrity of DLG’s environment., • Improving secure, continuous integration pipelines whilst working closely with our developers to advise on standard methodology., • Supporting with the delivery of projects and change programmes ensuring that they align to the security architecture framework and that solutions meet relevant information security fundamentals., • Maintaining a technical assurance approach that provides confidence to colleagues whilst ensuring that the value of proposed changes will be achieved., • Taking responsibility and acting as a technical SME for securing DLG’s environments in line with compliance commitments., • Ensuring security technical platforms are configured to optimise the overall security offered to DLG., • Improving SIEM coverage of DLG’s overall environment., • Making sure that all changes to the production environment have been reviewed and approved., • Communicating and building relationships at various levels with an ability to discuss deep technical concepts with counterparts from our suppliers but also communicating at a higher level with project managers and programme leads to convey the processes and timings of programme and project delivery., • Developing technical security standards and ensuring all changes are in line with the network security architecture, ISMR’s and adhere to PCI/DSS standards and any other regulatory requirements.

Product-Focused Full Stack Engineer (Python, Django) | Go, GraphQL, Flutter | High Ownership, End to end | AI Infrastructure Scale-Up | £60-120k + Equity | London Hybrid The Company – Building intelligent software for operational efficiency at scale We’re working with a fast-growing technology company building an AI-powered platform designed to improve how businesses operate day-to-day. The product combines real-time data, automation, and modern software tooling to help organisations make faster, more informed decisions and streamline complex workflows. Following strong early traction and significant revenue growth, the company is now entering a key scaling phase – expanding both its product capabilities and engineering team. This is an opportunity to join a business where engineering sits at the heart of product innovation and long-term growth. The Role – Product-Focused Full Stack Engineer (Python, Django) | Go, GraphQL, Flutter | High Ownership, End to end | AI Infrastructure Scale-Up | £60-120k + Equity | London Hybrid You’ll join a cross-functional product team responsible for building and scaling core platform capabilities. This is a true full stack role, working across backend services, APIs, and frontend applications. You’ll contribute to systems built primarily in Python (Django), alongside Go services, and help develop modern frontend experiences using Flutter and GraphQL. The role is well suited to someone who enjoys ownership, shipping quickly, and working across multiple layers of a product in a fast-paced environment. What You’ll Be Doing – Product-Focused Full Stack Engineer (Python, Django) | Go, GraphQL, Flutter | High Ownership, End to end | AI Infrastructure Scale-Up | £60-120k + Equity | London Hybrid • Building and shipping end-to-end product features across backend and frontend systems, • Developing scalable backend services in Python (Django) and contributing to Go-based services, • Working on frontend applications using Flutter and GraphQL, • Designing and evolving APIs, data flows, and system integrations, • Collaborating closely with product and design to solve real user problems, • Maintaining and improving production systems for performance and reliability, • Contributing to engineering best practices, architecture, and technical decision-making Tech Stack – Product-Focused Full Stack Engineer (Python, Django) | Go, GraphQL, Flutter | High Ownership, End to end | AI Infrastructure Scale-Up | £60-120k + Equity | London Hybrid • Python (Django), • Go, • Flutter, • GraphQL, • Kubernetes / Cloud infrastructure, • Monitoring and observability tooling, • CI/CD and modern deployment practices The platform is evolving quickly – engineers will have a strong influence on future technical direction. What They’re Looking For – Product-Focused Full Stack Engineer (Python, Django) | Go, GraphQL, Flutter | High Ownership, End to end | AI Infrastructure Scale-Up | £60-120k + Equity | London Hybrid • 3-7+ years software engineering experience, • Strong backend experience with Python (Django or similar frameworks), • Exposure to Go or willingness to work with it, • Experience building or contributing to frontend applications (Flutter, React, or similar), • Solid understanding of APIs, distributed systems, and scalable architecture, • Ability to ship quickly while maintaining clean, pragmatic code, • Strong communication skills and experience working in cross-functional teams, • Comfortable working in fast-paced, high-growth environments Startup or scale-up experience is beneficial but not essential. Interview Process – Product-Focused Full Stack Engineer (Python, Django) | Go, GraphQL, Flutter | High Ownership, End to end | AI Infrastructure Scale-Up | £60-120k + Equity | London Hybrid • Introductory conversation, • Technical discussion with the engineering team, • Practical coding or systems-based interview, • Final conversation focused on team fit and long-term growth Why Join – Product-Focused Full Stack Engineer (Python, Django) | Go, GraphQL, Flutter | High Ownership, End to end | AI Infrastructure Scale-Up | £60-120k + Equity | London Hybrid • High-impact role in a rapidly scaling product company, • Opportunity to work across the full stack with modern technologies, • Strong ownership and autonomy within a collaborative team, • Early equity in a high-growth business, • Office-first culture with a strong team environment (London), • £60-120k base + equity + benefits

Python Software Engineer – High-Frequency Trading We're working with a high-frequency trading (HFT) firm that is looking to expand its technology team with a Python Software Engineer. This is an opportunity to join a trading firm operating at the cutting edge of global markets, where technology and speed are paramount. They build and run highly scalable, ultra-low latency trading systems that compete across major global exchanges. You’ll work on some of the most complex and rewarding engineering challenges in the financial technology space. The Role As a Python Software Engineer, you’ll collaborate with traders, quantitative researchers, and other developers to design, develop, and optimise trading infrastructure. You’ll be directly contributing to systems that operate at nanosecond-level latency and handle massive volumes of real-time data. Key Responsibilities • Develop and maintain systems for real-time market data, trade execution, and reconciliation., • Optimise performance and scalability across key trading infrastructure components., • Partner with cross-functional teams to improve tooling, observability, and automation., • Deliver robust, production-ready solutions in a fast-paced environment. Requirements • Min 2+ years of Python experience in a professional setting (HFT, trading, fintech, or other high-performance domains)., • Exposure to C++ or willingness to work in multi-language environments is a plus., • Familiarity with GUI, SQL databases and Linux-based systems., • Interest in financial markets, real-time systems, or algorithmic trading. Why Apply? • Opportunity to work on high-impact systems used in live trading., • Collaborate with some of the brightest minds in quantitative finance and software engineering., • Competitive compensation package with a base salary, plus bonus. We are reviewing applications on a rolling basis. If this role sounds like a fit, apply now to learn more. Please note: Due to high application volume, we’re only able to respond to candidates who are shortlisted within 3 working days.

Job Title: SFCC Engineer + Agentic Location: London, UK / Remote. Duration: 12+ Months Outside IR35 Contract Position Job Description : Required : • 5+ years SFCC / SFRA development, • React, JavaScript / Node.js, RESTful APIs, • SFRA architecture, pipelines, cartridges, multi-locale setups, • Hands-on LLM API experience — Claude, OpenAI or equivalent, • Claude Code or equivalent agentic coding tooling as a core workflow, • Production-grade agentic pipelines — observable, testable, deployable Preferred : • Salesforce B2C Commerce Developer / SFRA Certification, • Salesforce Business Manager — catalogue management and promotions, • Prompt engineering — tool use, structured outputs, multi-agent orchestration

We’re partnering with a fast‑growing global fintech building the next generation of on‑chain payments, banking, and investment infrastructure. This is a rare opportunity to work on mission‑critical backend systems used by millions of customers worldwide — where scale, performance, and security genuinely matter. If you thrive in high‑availability environments, love clean backend architecture, and enjoy solving real‑world scalability problems, this role will stretch and reward you. As a Backend Engineer, you’ll play a key role in designing and building robust APIs and microservices that power both consumer and business products across web and mobile platforms. You’ll work with modern backend technologies, collaborating closely with frontend, mobile, product, and design teams to deliver secure, scalable systems in production. Core engineering principles here are maintainability, performance, and security — not buzzwords, but non‑negotiables. Responsibilities: • Designing, building, and maintaining backend services and APIs, • Delivering new platform features and continuous enhancements, • Building high‑performance, scalable microservices, • Integrating with web and mobile applications, • Working across the full SDLC: planning → design → implementation → deployment → support, • Writing high‑quality, production‑ready code, • Helping the team stay current with evolving backend and infrastructure tooling Requirements: This role prioritises strong backend fundamentals over surface‑level experience. Essential: • Degree in Computer Science (or equivalent practical experience), • Significant hands‑on backend engineering experience, • Strong experience with Node.js (JavaScript) and/or Golang, • Solid understanding of relational databases (PostgreSQL preferred), • Familiarity with non‑relational stores (e.g. Redis), • Strong grasp of web semantics, • Experience using version control systems, • Understanding of CI/CD pipelines and basic automation, • Strong communication skills and ability to work cross‑functionally, • Fluent English (written and spoken) If you’re a backend engineer who cares deeply about code quality, system design, and impact, and you want to work on systems that handle real value at scale — we’d love to connect.

Job Title: Bio Machine Learning Engineer Location: Near London (Hybrid, 2 days onsite) Salary: Up to £90,000 Company: Stealth Biotech Startup (Series A) About the Company This early-stage biotech startup is building next-generation AI platforms to accelerate drug discovery and precision medicine. Backed by top-tier VC, they combine cutting-edge machine learning with experimental biology to unlock new therapeutic pathways across oncology and rare diseases. Their team works across computational biology, machine learning, and wet-lab science -working closely to turn complex biological data into real-world clinical impact. The Role They are looking for a Bio Machine Learning Engineer to help design and deploy models that make sense of high-dimensional biological data. The successful candidate will work alongside bioinformaticians, software engineers, and lab scientists to build scalable ML systems that directly influence the discovery pipeline. This is a hands-on role with ownership - from prototyping models to productionising them in a fast-moving start-up environment. What You’ll Be Doing • Develop and deploy machine learning models on biological datasets (e.g. genomics, transcriptomics, proteomics), • Build pipelines for processing and analysing large-scale biological data, • Apply deep learning techniques (e.g. transformers, graph neural networks) to biological problems, • Collaborate with wet-lab teams to translate experimental data into actionable insights, • Optimise models for performance, scalability, and real-world usability, • Contribute to the design of their ML infrastructure and tooling stack What They’re Looking For • 4+ years experience in machine learning, data science, or AI engineering, • Strong Python skills (NumPy, Pandas, PyTorch/TensorFlow), • Experience working with biological or biomedical data (industry or academia), • Solid understanding of ML fundamentals (supervised/unsupervised learning, model evaluation, etc.), • Familiarity with cloud platforms (AWS, GCP, or Azure), • Ability to work in a cross-functional, fast-paced startup environment Nice to Have • Background in bioinformatics, computational biology, or related field, • Experience with genomics pipelines or tools (e.g. FASTQ, BAM, variant calling), • Knowledge of protein structure modelling or drug discovery workflows, • Exposure to MLOps, deployment, and production systems, • Publications or open-source contributions in relevant domains Why Join Them • Opportunity to work on genuinely impactful problems in healthcare and life sciences, • Early-stage equity with strong growth potential, • Collaborative, mission-driven team with deep technical expertise, • Flexible hybrid working (London / Cambridge), • Chance to shape both the product and engineering culture How to Apply For more information or to apply, please get in touch with me or used LinkedIn EasyApply.

Role: DevOps Location: London Salary: Up to £250k We’re looking for a DevOps / Platform Engineer to build, operate, and evolve the infrastructure and tooling used by trading teams and quantitative researchers. The role sits at the intersection of low‑latency colocation networks, containerised applications, and observable, automated infrastructure, with a strong focus on reliability, performance, and self‑service tooling. Key responsibilities • Design, deploy, and operate containerised services and internal tools used by trading desks and quants (Python‑based backend services, APIs, data pipelines)., • Maintain and optimise low‑latency systems in colocation environments, collaborating with trading and infrastructure teams on performance and resilience., • Build and extend network automation workflows to configure and manage trading infrastructure (routers, switches, security, and connectivity)., • Define and implement observability for services and infrastructure using metrics, logging, and alerting (e.g., Prometheus, Grafana, and related tooling). Key requirements • Strong backend development experience with Python, including experience building APIs (e.g., FastAPI or similar frameworks)., • Experience with Prometheus‑style observability: metrics, alerting, and dashboards; familiarity with Grafana is a plus., • Hands‑on experience with ClickHouse or similar high‑performance data stores is a strong advantage., • Practical experience with network automation; Ansible or similar configuration‑management tools are beneficial., • Experience running and maintaining container orchestration platforms, ideally Nomad; Kubernetes experience is also acceptable., • Solid networking knowledge, particularly with Arista EOS and data‑centre networking concepts., • Some front‑end experience with React or similar frameworks is considered a minor plus., • Familiarity with Git, CI/CD pipelines, and infrastructure‑as‑code practices (e.g., GitOps, declarative config). Apply now for an confidential chat!

About Us We're an early-stage B2B procurement company that is revenue generating and solves genuine operational problems. We have a proven revenue stream which is expected to double in the next year. Due to this proven success, we are now expanding our operation to include a data-heavy platform for our customers. This is a ground-up build. We have a defined product vision, and customers waiting. We're just looking for the right person to build it with us. The Role We are looking for a remote full-stack developer to be our first technical hire. You'll own the full stack and work directly with the founder on every major technical decision. You will be the technical expert so it is crucial you can explain technical details to a non-technical audience. Think of short feedback loops, real autonomy with no committees. This is a greenfield build. You won't be maintaining anyone else's code so everything you create will also have to be thoroughly documented for future engineers as we expand the department. Key Responsibilities • Development and full ownership of our core platform., • Comfortable with multi-organisational architecture that you will design and build., • Build intelligent document generation workflows., • Implement a task and action system for an internal operations team., • Develop automated data collection from multiple third-party services, • Write clean, documented, testable code throughout., • Contribute meaningfully to product and architectural decisions., • 3+ years commercial experience with a significant portion as a full-stack engineer., • Strong experience with Node.js andReact.js — component architecture, state management, hooks, REST API development, authentication, middleware., • PostgreSQL — schema design, query optimisation, migrations., • Comfortable with multi-tenant SaaS architecture and making design decisions independently., • B2B SaaS, internal tooling, or enterprise software background., • PDF generation — Puppeteer, React-PDF or similar., • TypeScript., • Cloud engineering— AWS, Azure or similar., • Base salary, £45-60k DOE, • Exceptional equity package, you're joining early and this is reflected in your ownership stake., • 28 days holiday plus UK bank holidays., • Remote with ome day in office, • Be part of a management team., • A technically interesting problem, which you can fully own.

Senior Software Engineer - Remote (UK) - £85k-90k We are supporting a rapidly scaling AI driven fintech organisation in their search for a Senior Software Engineer to strengthen their UK based engineering function. This role offers the opportunity to contribute to real world AI enabled products that are reshaping operational processes across financial services. What you'll be doing: • Architect and deliver scalable, event based backend services and APIs, • Build high quality, user focused interfaces using modern JavaScript frameworks, • Partner with product leaders and AI specialists to translate concepts into stable, deployable solutions, • Contribute to system reliability, performance optimisation and engineering best practice Tech Stack: Back end: Node.js, TypeScript, NestJS Front end: React and modern front end tooling Cloud: AWS including Lambda, ECS/Fargate, API Gateway, SQS/SNS, DynamoDB and RDS Architecture: Microservices and event driven systems What they're looking for: • 6+ years commercial experience in backend development using Node.js and TypeScript, • Strong experience building interactive front end applications, • Proven track record delivering cloud based systems within AWS environments, • Experience designing and maintaining scalable, service led architectures, • Genuine interest in AI driven software products What’s on Offer: • £85-90k, • Private healthcare, • Remote and flexible working across the UK, • Clear career progression Senior Software Engineer - Remote (UK) - £85k-90k

Detection & Automation Engineer My client is a leading global financial institution, renowned for its scale, complexity, and commitment to innovation in security. This is a unique opportunity to join a world-class cyber team at the heart of a highly regulated, global organisation. As a Detection & Automation Engineer, you will play a key role in evolving the organisation’s security operations capability toward a more modern, engineering-led model. This is a hands-on position focused on building scalable detection and response solutions, rather than traditional alert monitoring or manual SOC activities. You'll also act as a technical, leader. You will work across the full detection lifecycle, designing, building and deploying detection logic using an engineering-led, pipeline-based approach. The role is centred around “detection as code,” applying software engineering and DevSecOps principles to security operations to create repeatable, high-quality outcomes. You’ll collaborate closely with SOC, threat intelligence and engineering teams to ensure detections are effective, actionable and aligned to real-world threats. Alongside hands-on delivery, you will provide technical leadership within the team, helping shape best practices, guiding approaches to detection engineering and automation, and acting as a key subject matter expert within the function. This is leadership through expertise and ownership, rather than formal line management. This is an opportunity to join a highly mature environment that is actively investing in automation, scalability and the future of security operations, ideal for someone who enjoys building, improving and engineering security capability at scale. Key Requirements • Strong background in security engineering, detection engineering or DevSecOps, • Hands-on experience building detections within SIEM platforms, • Experience working with automation and orchestration tooling (SOAR or similar), • Strong coding / scripting ability (Python or similar) with experience building automation workflows, • Experience working in cloud environments (AWS, Azure or GCP) and understanding cloud-native security, • Familiarity with engineering-led approaches (e.g. version control, pipelines, automation practices), • Good understanding of security operations, threat detection and attacker behaviour, • Experience working in complex or regulated environments (financial services beneficial but not essential), • Ability to build scalable, repeatable solutions rather than one-off detections, • Ability to influence technical direction and contribute to best practices within a team Location: Surrey (3 days onsite)

Overview: Opportunity to join a successful, expanding Wealth and Investment Manager to spearhead platform modernisation and digital transformation while managing the integration and evolution of outsourced back-office services, in a newly created role. The Head of Engineering will act as the face of technology-enabled change across W1M, leading design, development, support and delivery of secure, scalable and high-performing proprietary technology solutions. This includes leading internal engineering and delivery teams, software developers, senior engineering leads, technology operations and database administration, ensuring the right skills, delivery discipline and capacity is in place to ensure change is delivered at pace, within budget and to the highest engineering, security and operational standards. The position will work closely with the Change team and CTO shaping technology strategy to support the continued growth of the business so we can achieve our targets in a progressive and sustainable manner. About the Company: With over £24 billion in assets under management (AUM), a team of c.370 professionals across 5 global offices, W1M specialises in working with high-net-worth and ultra-high-net-worth individuals and families, charities, and institutions. Beyond our direct client relationships, we also maintain a longstanding partnership with Independent Financial Advisers, providing access to our market-leading investment solutions. We are continuing to expand with ambitious plans to double our AUM in the next 4 years based on the foundation of the quality of advice and services we provide to our clients, alongside peer-leading investment performance. Internally we are a highly collaborative organisation free from the politics and bureaucracy of larger firms that gives everyone the opportunity to make a real difference and enhance the way we work. We have a sociable culture with sporting and cultural events throughout the year and a welcoming and supportive environment. Key Responsibilities: • Lead, develop and motivate the internal engineering team, with direct reports including the Software Development Manager, Head of Technology Operations, Staff Engineer and DBA., • Provide structured support to technology leads on career development, performance reviews, calibration, and the creation and tracking of quarterly OKRs, • Champion continuous learning, innovation and simplification, with a strong focus on reducing technical debt and improving engineering efficiency, • Govern outsourced partners and third-party technology providers, ensuring value for money, operational control and compliance with regulatory expectations, • Drive high-quality onboarding, knowledge-sharing practices and continuous improvement of engineering processes, • Establish and maintain engineering reporting frameworks, including DORA metrics, technical debt visibility, incident trends and key operational insights, enabling data-driven decision making across engineering., • Manage engineering budgets, commercial relationships and vendor performance measures, • Support CTO in shaping technology strategy, investment planning and governance oversight Accountable for, but shared responsibility • Ensure effective resource planning and workforce strategy to meet delivery capacity and skill requirements, • Collaborate with business stakeholders to deliver efficient, high-quality solutions aligned to customer outcomes, commercial goals and regulatory expectations, • Define, monitor and improve engineering and change performance metrics, including delivery predictability, throughput, product quality and platform stability, ensuring SLAs and KPIs are consistently met and reported, • Drive operational reliability, resilience testing, incident response and platform performance optimisation, • Ensure regulatory obligations (FCA, DORA, Consumer Duty, data privacy) are fully supported by engineering and operational controls Background / Experience and Competencies Required • Extensive senior engineering leadership experience in Wealth Management or Financial Services, • Strong background in software development with hands-on understanding of modern languages, patterns and tooling, • Proven track record managing engineering functions across development, Tech Ops and database administration, • Experience building and embedding change delivery metrics and engineering KPIs, • Demonstrable success in platform modernisation and complex integration delivery, • Strong knowledge of core Wealth Management systems (e.g. Salesforce, Addepar, SEI), • Experience managing outsourced service providers and multi-sourced delivery environments, • Expertise in cloud (AWS/Azure), DevOps and CI/CD automation, • Solid understanding of technology risk, security, and regulatory expectations Competencies • Leadership and delivery accountability – executes at pace with measurable results, • Stakeholder influence – trusted technology advisor across business leadership, • Commercial decision-making – value-driven prioritisation and cost optimisation, • Risk and compliance mindset – ensures secure, reliable engineering outcomes, • Client-focused design – technology aligned to user and adviser experience, • Team development – builds, motivates and retains high-performing talent, • Resilience and adaptability – confident operating in change-heavy environments Equal Opportunity Statement W1M is an equal opportunities employer and in accordance with the rules regarding discrimination in the Equality Act 2010, we welcome applications from all suitably qualified persons.

The Client Tempest Vane Partners is partnering with a highly regarded, technology-driven hedge fund looking to hire a Senior Market Data Engineer into its London-based team. This is a genuinely high-impact role sitting close to the front office, focused on building the data backbone that traders, quants, and risk teams rely on every day. The environment is fast-paced, engineering-led, and places real value on clean design, performance, and autonomy. What you’ll be doing: • Engineering low-latency, high-throughput market data platforms from the ground up, • Owning the full data lifecycle from ingestion and normalisation through to distribution, • Tackling complex challenges around data quality, scale, and resiliency, • Working directly with trading and quant teams to shape how data is consumed and used, • Driving architectural decisions and influencing the technical direction of the platform What they’re looking for: • Strong backend engineering experience in C# or Java, ideally in real-time systems, • A deep understanding of market data (feed handlers, tick data, symbology, etc.), • Experience building distributed systems with a focus on performance and reliability, • Solid database knowledge (SQL and/or NoSQL) and familiarity with messaging systems, • Exposure to cloud and modern DevOps tooling (Docker, Kubernetes, CI/CD pipelines) Nice to have: • Experience in a buy-side environment, • Understanding of asset classes such as rates, FX, or derivatives, • An interest in how data drives trading decisions Why this role stands out: • Direct impact on trading performance and decision-making, • High level of ownership and autonomy, not a ticket-taking environment, • Collaborative, low-ego culture with strong engineering standards, • Competitive compensation with top-tier benefits If you’re interested in building critical trading infrastructure in a genuinely engineering-first environment, this is worth a conversation. Apply or get in touch for a confidential discussion.

Job Title: Lead AI Developer Base Location: London plus network of 20 offices nationally: ___ The KPMG Audit Technology team is dedicated to building cutting-edge solutions in close collaboration with the Audit function. We blend audit expertise with the latest technology, enabling us to understand the challenges our customers face daily and develop indispensable products that simplify their lives while promoting Audit Quality. As a crucial member of the team, you will collaborate with a talented mix of Cloud & DevOps Engineers, Product Owners/Managers, Solution Architects, Data Engineers, Business Analysts, and Testing Specialists. Together, we build, deliver, and manage a portfolio of truly exciting products. In recent years, our products' size and scale have rapidly expanded, leading to significant growth in our technology capability. There's never been a better time to join us. With our ambitious growth plans, your future here is something to get excited about. As a valued team member, you'll be expected to stay current with the tech field and the latest trends in Audit delivery. Why Join KPMG As a Lead AI Developer The Audit Technology team at KPMG is driving innovation at the intersection of auditing and advanced technological solutions, reshaping the future of audit delivery. By combining expertise in Artificial Intelligence, Data Engineering, Data Analytics, and Software Development, the team is revolutionising the auditing process to deliver smarter, faster, and more reliable outcomes. Our mission is to design and implement robust, intelligent, and scalable technologies that not only streamline workflows but also enhance audit quality and generate actionable insights for auditors and clients. Through harnessing the power of cutting-edge tools, we aim to transform traditional audit practices into dynamic, forward-thinking processes that are built for the complexities of the modern business environment. Our team, supported by KPMG’s global network, serves as the driving force behind this transformative journey. Focused on innovation, this team is dedicated to engineering solutions today that anticipate the challenges and opportunities of tomorrow, ensuring that audit services remain at the forefront of technological progression. What will you be doing? As a Lead AI Engineer, you will report to AI Engineering Squad Lead and lead the technical delivery of AI projects within your squad, collaborating with data scientists, engineers, developers, cloud architects, and audit professionals to create scalable AI systems that improve audit quality, efficiency, and insights. From developing robust proof-of-concepts to deploying enterprise-grade solutions, you will apply your expertise in AI engineering, cloud platforms, and technologies such as Generative AI, Azure, Databricks to embed intelligence into critical audit workflows and products. You will mentor junior engineers, promote best practices, and foster a culture of collaboration, innovation, and continuous improvement. You will stay at the forefront of AI engineering trends, advocate for modern development methodologies, and drive knowledge-sharing across both the technology and audit domains. Due to the nature of the role significant time may be spent at client sites/KPMG offices. Responsibilities Lead by Example: Lead by example in a hands-on capacity, actively contributing to codebases and technical decisions while mentoring junior engineers. Scalable AI Engineering: Develop and deploy production-grade AI systems tailored to audit applications. Contribute to architectural decisions and solution governance. Write clean, efficient, and scalable code that adheres to software engineering principles, MLOps practices, and cloud-native development. AI Solution Delivery: Own the implementation of ML pipelines, APIs, and data integration workflows. Operational Excellence: Contribute to defining reusable development patterns, enforcing coding standards, and implementing MLOps best practices that support version control, performance optimisation, and maintainability. Cross-Disciplinary Collaboration: Work side-by-side with data scientists, product managers, platform engineers, and QA teams to align on technical requirements, delivery timelines, and integration plans. Provide hands-on contributions to ensure AI capabilities are smoothly embedded within core audit platforms and services. Capability Building & Knowledge Sharing: Contribute to internal capability-building initiatives and empower team members and the broader Audit Technology function by sharing practical skills and innovative techniques for adopting and adapting AI effectively. What will you need to do it? Minimum Requirements • Experience: Significant professional experience in backend development as a Senior role., • Languages/Frameworks: Strong proficiency in Python with hands-on experience in asynchronous programming, concurrency and multithreading., • API Expertise: Proven experience in building and integrating APIs, with expertise in API documentation and schema definition using OpenAPI/Swagger. Strong understanding of RESTful API design, authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements • Good knowledge of generative AI, machine learning, deep learning, natural language processing or other relevant AI fields., • Proven track record of designing, developing, and deploying AI systems in production environments., • Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers)., • Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph., • Proven experience with modern engineering practices Git, version control, unit testing and containerisation., • Familiarity with agile work methodologies and tools like Jira and Confluence. Behavioural Attributes and Skills: • Strong communication skills, with the ability to explain technical concepts to varied audiences in a clear and accessible manner. Qualifications: • Bachelor (preferably master or PhD) in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field., • Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous - desirable, • Professional accounting qualification preferred, however not a requirement - desirable To discuss this or wider Technology roles with our recruitment team, all you need to do is apply, create a profile, upload your CV and begin to make your mark with KPMG. Our Locations: We are open to talk to talent across the country but our core Tech hubs for this role are: • Glasgow, • Leeds, • London Canary Wharf, • Manchester With 20 sites across the UK, we can potentially facilitate office work, working from home, flexible hours, and part-time options. If you have a need for flexibility, please register and discuss this with our team. Find out more: Within Tech and Engineering we have a range of divisions and specialisms. Click the links to find out more below: • Technology and Engineering at KPMG: ___, • ITs Her Future Women in Tech programme: ___, • Applying to KPMG: ___, • Tips for interview: ___, • KPMG values: ___, • KPMG Competencies: ___, • KPMG Locations and FAQ: ___

About Us Machnet Medical Robotics (MMR), founded in 2020, is on a mission to revolutionise medical robotics. Our guiding principle is simple: innovation must improve patient outcomes, support clinicians without disrupting workflows, and empower healthcare staff rather than adding burden. MMR is a well-funded company with long-term investors and a strong financial foundation. Our hardware and software teams have developed a fully functional medical robotic platform that has successfully completed animal trials. As we move into the next phase, we are refining the mechanical design for production with a focus on safety, reliability, manufacturability, and scalability, preparing our technology for deployment in hospitals worldwide. About the Role We are seeking a Senior Automation Test Engineer with strong Python experience, with a strong background in testing complex user interfaces, to join our growing engineering team in central London. In this role, you will own and evolve Python-based automation for an embedded application, including headless and UI subsystems. You will work closely with developers to verify application behaviour and interactions between subsystems, contributing directly to product quality and release readiness. Key Responsibilities · Creating and maintaining a Python-based test automation framework for an embedded application · Drive automation through internal application interfaces and messaging mechanisms · Design test architecture, libraries, fixtures, and reusable components to support scalable and maintainable automation · Create, maintain, and execute requirements-based test cases and verification evidence · Develop automated tests that verify software-level requirements · Log, track, and support defect investigation, working closely with developers to reproduce issues and confirm fixes · Maintain test stability in CI, reduce flakiness, and improve coverage over time · Support release readiness by providing clear verification results and evidence Who We’re Looking For · Bachelor’s or Master’s degree in Computer Science or a related field · 4+ years of experience testing non-web solutions such as embedded HMI, desktop applications, or device-based applications · Strong Python experience used for test automation, frameworks, and tooling · Comfortable owning automation architecture rather than only writing test scripts · Experience automating applications via internal interfaces or IPC mechanisms, not browser-based tools · Comfortable working in a fast-paced, collaborative startup environment · Eligibility to work on-site at our central London office Experience We Value · Experience working on complex applications composed of multiple interacting subsystems · Exposure to testing in regulated or safety-critical environments · Experience in testing or supporting the verification of communication flows between multiple interacting subsystems within a single product · Experience testing cross-platform applications, such as desktop and touchscreen-based systems · Familiarity with QT-based applications and tools such as Squish, COCO, or Axivion. · Exposure to testing AI-enabled products, including machine learning or machine vision components Why Join Us? At MMR, you will work at the intersection of robotics, AI, and healthcare, building technology that directly impacts patient care and clinical outcomes. You will join a mission-driven, collaborative team where your technical expertise will meaningfully shape the future of medical robotics. We believe technology must serve people responsibly. Human-centred innovation, integrity, and long-term responsibility guide how we design products and how we support our team members’ growth and well-being. What We Offer · An international, interdisciplinary team based in Central London and Zwolle, Netherlands · A key technical role in a rapidly growing medical device startup with global ambitions · A central London office with a well-equipped prototyping space · Ongoing professional development through training, workshops, and conferences · An inclusive, supportive workplace culture · A competitive salary package aligned with industry standards

Cyber Security Engineer – London (Hybrid) This is a standout opportunity to help shape and mature the cyber security capability of a leading financial‑services organisation. They’re investing heavily in modern security practices, and this role sits right at the centre of designing how security is built, embedded and continuously improved across a Microsoft‑focused technology estate. You’ll be hands‑on with the engineering, tooling and architecture that underpin their security posture, while also influencing how secure‑by‑design thinking is applied to major technology decisions. Working closely with the wider IT function, you’ll act as a trusted voice in ensuring controls are practical, risk‑aligned and built to meet regulatory expectations. If you’re passionate about threat detection, incident response and building modern security capabilities, this role puts you at the heart of a growing cyber function with the scope to make a real impact. What You’ll Be Doing • Enhancing and operating core security capabilities including SIEM, MDR, security monitoring, and threat detection tooling, • Supporting Security Incident Response (SIR) activities, including triage, investigation, containment, and recovery, • Contributing to DFIR workflows and helping mature incident playbooks and response processes, • Working with technology and business teams as the go‑to specialist for security controls, tooling, and best practice, • Designing, implementing, and maintaining security solutions across endpoint, identity, network, and cloud environments, • Improving key security processes including vulnerability management, patch governance, IAM, endpoint security, and network security, • Developing and maintaining security policies, SOPs, and incident response playbooks, • Feeding Threat Intelligence / CTI insights into monitoring, detection logic, and response processes, • Supporting projects that uplift enterprise security capabilities (e.g., log aggregation, IAM enhancements, EDR improvements), • Providing security input into change management, asset management, third‑party assessments, and technology acquisition What You’ll Bring Essential: • 3+ years in a Cyber Security Engineer, Analyst, or similar hands‑on security role, • Experience in financial services or another regulated environment, • Strong technical exposure to security tooling: SIEM, EDR, MDR, vulnerability scanners, patch management, CASB, DLP, penetration testing tools, • Solid understanding of TCP/IP, network protocols, and packet analysis, • Ability to assess the security posture of operating systems, cloud services, and network appliances, • Experience working with cross‑functional teams and communicating clearly with technical and non‑technical stakeholders, • The ability to work across a broad cybersecurity role, dealing with both monitoring, threat detection, and security engineering Desirable: • Certifications such as CISSP, CEH, CISM, or similar, • Knowledge of OS hardening and CIS Benchmarks, • Familiarity with ISO27001, NIST, PCI DSS, GDPR, Cyber Essentials, • Experience with IT audit processes and risk assessments, • Exposure to Threat Intelligence platforms, DFIR tooling, or SIR frameworks Who You Are • A proactive, curious security professional who enjoys solving problems and improving controls, • Comfortable explaining technical concepts to non‑technical audiences, • Strong communicator with a collaborative mindset, • Someone who thrives in a fast‑moving, regulated environment and takes pride in protecting customer assets This is a great opportunity to influence and mature a security function while working with modern tooling and a supportive team. If you’re ready to take the next step in your cyber career, we’d love to speak with you.

Lead Security Engineer – Proprietary Trading Firm – London (On-Site) – Up to £140,000 Base Salary + 20% Bonus A leading global trading and investment firm is seeking a Lead Security Engineer to play a pivotal role in building and shaping its security practice. This is a senior, hands-on role with genuine influence across network, cyber, and cloud security, combining deep technical expertise with strategic direction. This position is ideal for someone who wants to move beyond pure delivery and take ownership of security architecture, tooling decisions, and long-term IT security strategy within a high-performance, always-on environment. The Role: As Lead Security Engineer, you will act as the technical authority for security, helping to define how security is designed, implemented, and evolved across the organisation. You will work closely with Infrastructure, Cloud, and Engineering teams while advising senior stakeholders on security direction and investment. Key responsibilities include: • Lead the design, build, and evolution of the firm’s security practice, setting standards, patterns, and best practices, • Provide deep expertise across Network Security, Cyber Security, and Cloud Security, • Own and develop security architecture across:, • Network and perimeter security, • Cloud platforms (primarily Azure), • Identity and access management, • Advise on and select appropriate security tooling, ensuring the firm adopts scalable, best-in-class technologies aligned with its growth and risk profile, • Define and influence IT security strategy, balancing security, performance, and operational efficiency, • Act as a senior escalation point for complex security issues, incidents, and design decisions, • Partner with Infrastructure and DevOps teams to embed security into platforms, automation, and operational processes, • Drive improvements in monitoring, detection, vulnerability management, and threat response Skills & Experience • Proven experience in a Senior or Lead Security Engineering role, ideally within financial services, trading, or other high-availability environments, • Strong hands-on knowledge across:, • Network security (firewalls, segmentation, VPNs, secure connectivity), • Cloud security, particularly Microsoft Azure, • Cyber security controls, threat detection, and incident response, • Experience advising on or leading security tooling selection and roadmap decisions, • Ability to operate at both technical and strategic levels, influencing stakeholders and shaping security direction, • Comfortable working in fast-paced, mission-critical environments Package • Up to £140,000 base salary, • Up to 20% performance-related bonus, • Comprehensive benefits package Lead Security Engineer – Proprietary Trading Firm – London (On-Site) – Up to £140,000 Base Salary + 20% Bonus

Senior Backend Engineer (Node.js) | High Impact Greenfield Trading | £130k + Bonus + Benefits | London Hybrid We are partnered with an energy trading client working on one of the most unique roles in a long time. You are not required to have Financial Services experience but an interest would definitely help in making the job easier to understand. A cross-asset trading house are expanding on one of their start up teams. This team is being dubbed the engine room ⚙️, incorporating up to 10 engineers, as well as a senior AI/ML engineers, as this platform will be producing Predictive Pricing calculations and tooling across the whole business. This is an opportunity to work closely with stakeholders and the business to deliver scalable solutions as the business went through a ton of acquisitions last year and requires those platforms onboarded. Super high impact working at a very fast pace🏃within a larger organisation does not get better than this! As one of the Engineers for this stream, you will have involvement scoping, building and deploying the Enterprise utilities platform. Most of all, you will be releasing their AI tooling system to the business and utilise event driven architecture to make sure that the systems are scalable 📈 The business has been growing at a rapid rate but this part of the business sits on its' own like a start-up area of the business created by the CTO to help them to make the engineering teams more successful. 🤖 As part of the team, there are dedicated AI/ML engineers, which you will be working very closely with, integrating AI/ML into the Trading platform, which will spot data trends across the firm, predicting better Pricing Models, new business opportunities & highlight better ways to use data. Therefore, having an interest in AI is necessary and encouraged. 💰This role is signed off up to £130,000 + a very strong bonus potential 📍Located just outside St Paul's Station - 2-3 days per week in the office 🧑 💻Node.Js, TypeScript, AI exposure is a plus, event driven architecture (e.g. Kafka) If interested, feel free to apply with your CV or email me at Senior Backend Engineer (Node.js) | High Impact Greenfield Trading | £130k + Bonus + Benefits | London Hybrid

Quantitative trading firm is looking to hire a Junior Cyber Security Python Developer to join a high-performing security engineering team within a leading technology-driven environment. This is an excellent opportunity for an early-career engineer with strong Python skills and an interest in cybersecurity to gain hands-on experience building tools that protect critical systems and infrastructure. You’ll work alongside experienced engineers and security specialists, contributing to the development of automation, detection tooling, and data-driven security capabilities. Key Responsibilities • Support the development of Python-based tools for cybersecurity and monitoring, • Assist in automating manual security processes within SOC and engineering workflows, • Help build integrations between systems (e.g. logs, APIs, security tools), • Contribute to log analysis and event investigation, • Work with data to identify unusual or suspicious behaviour, • Assist with the development and tuning of detection rules, • Support incident response and troubleshooting activities, • Collaborate with teams across security, infrastructure, and engineering, • Continuously learn and develop technical and security knowledge Required Skills & Experience • 1–3 years of experience in Python development (or strong academic + project experience), • Basic understanding of cybersecurity concepts (e.g. threats, vulnerabilities, attacks), • Familiarity with networking fundamentals (TCP/IP, DNS, HTTP/S), • Comfortable working in Linux or Unix environments, • Experience working with data (parsing, scripting, APIs, or logs), • Strong problem-solving skills and willingness to learn Desirable / Nice to Have • Exposure to security tooling such as SIEM, EDR, or log management platforms, • Experience with any of the following Python libraries/tools:, • scapy / pyshark / dpkt (network traffic analysis), • python-evtx (Windows logs), • yara-python (malware detection basics), • Understanding of cloud platforms (AWS, Azure, or GCP), • Personal projects, labs, or CTF-style challenges related to security, • Interest in areas such as threat detection, automation, or security analytics What They’re Looking For • A curious, motivated engineer with a genuine interest in cybersecurity, • Someone who enjoys learning by building and solving problems, • Strong attention to detail and a methodical approach, • Good communication skills and willingness to collaborate A hybrid working environment comprising 4 days on-site at a central London office.

Analytics Engineer – 12 month FTC Up to £67,000 London (hybrid) This is a great opportunity for an Analytics Engineer to join a growing Analytics Engineering function at an important stage of its development. You will work on a large-scale Lakehouse programme, building high‑quality analytics layers and developing your technical skills while contributing to meaningful data products used across the business. The Company: They are a large, complex organisation continuing to invest heavily in their enterprise data platform. Analytics plays a key role in decision‑making, with ongoing growth in engineering capability and the Lakehouse environment. You’ll join a collaborative and supportive analytics function that works closely with Engineering, BI and the wider business, offering exposure to modern data tooling and best practices in a scaled environment. The Role: • Build and maintain curated (Gold) data models within a Lakehouse architecture, • Develop analytics‑ready datasets that power trusted reporting and dashboards, • Translate business requirements into well‑structured SQL and PySpark transformations, • Contribute to data modelling decisions across multiple business domains, • Apply data quality checks, testing and performance best practices to pipelines, • Work within existing CI/CD processes and contribute to improving engineering standards, • Collaborate closely with Data Engineers, BI teams and stakeholders to deliver robust data products, • Learn from and be supported by more senior Analytics Engineers within the team Your Skills & Experience: • Commercial experience as an Analytics Engineer or in a similar data-focused role, • Solid data modelling skills, including experience with dimensional models, • Hands‑on experience writing PySpark in a Lakehouse or big data environment, • Strong SQL skills for building and maintaining transformation logic, • Experience working with Databricks or similar modern data platforms, • An engineering mindset with attention to data quality, reliability and maintainability, • Comfortable working with both technical teams and business stakeholders, • Keen to develop your technical depth and grow within an analytics engineering function

Backend Engineer (High-Performance Systems) London | £80K–£120K + Equity (DOE) Traditional financial markets are broken. Our client is rebuilding them from the ground up. They’re a well-funded, early-stage fintech building next-generation infrastructure for global trading markets — enabling always-on, high-performance systems that challenge the status quo of traditional exchanges. Backed by leading global investors and founded by top-tier quantitative engineers, this is an opportunity to work on deeply technical problems with real-world impact. The Role • You’ll design and build ultra-reliable, low-latency backend systems powering real-time trading infrastructure., • Build fault-tolerant, high-performance services with strict latency requirements, • Own system reliability, scalability, and performance (p99 matters), • Implement robust testing frameworks (CI/CD, load testing, chaos engineering), • Influence architecture, tooling, and engineering standards, • Collaborate with a small, elite team to ship fast and iterate rapidly What We’re Looking For • Strong STEM degree from a top-tier university (e.g. Oxbridge / Imperial / equivalent globally), • 3+ years experience in high-performance or real-time systems (e.g. trading, HFT, distributed systems), • Proficiency in a systems-level language (Rust, C, C++), • Strong understanding of performance optimisation, concurrency, and system design, • High ownership mindset — able to make fast, high-quality decisions Nice to have • Experience in fintech, trading systems, or low-latency environments, • Exposure to Python and data tooling (NumPy, Pandas), • Experience with Kubernetes or infrastructure-as-code

Java Software Engineer | London City, Hybrid We're working with a highly regarded software engineering firm that is delivering complex Java projects across global Tier-1 investment banking environments. This is a brilliant opportunity for Java Engineers from mid-level through to Principal / Architect level, who want to work on business-critical systems in a genuinely strong engineering environment. The work is varied and high impact, ranging from greenfield builds across trading and payments platforms, through to modernising legacy systems, improving existing platforms, and helping turn around struggling projects. What’s consistent throughout is the focus on good software engineering; clean code, TDD, CI/CD, fast feedback, automation, and well-designed, robust systems. It’s a chance to work alongside strong engineers, solve meaningful technical problems, and deliver modern engineering practices into complex environments where quality really matters. 📍London City, hybrid working - 3 days per week in the office ⏰Permanent Role 💷Competitive Salary + Benefits Requirements: • Strong Java development experience, • Good understanding of TDD, XP and Agile, • Experience building large-scale backend systems, • Exposure to cloud architecture and CI/CD pipelines, • Engineers with strong technical judgement and a real appreciation for software craftsmanship, • Interest in improving systems, not just maintaining them, • Experience with microservices, • Exposure to Docker, Kubernetes, Terraform or other cloud-native tooling, • Experience in investment banking, fintech, or wider financial services - desirable, not a must, • Background in high-throughput or low-latency systems - highly desirable, • Consultancy or client-facing experience, • Familiarity with AI-assisted engineering tools such as Copilot or Claude Code Please note: applicants must be UK-based, within a commutable distance to London, and have the right to work in the UK without sponsorship. If you are interested in this Java Software Engineering Role, please apply directly to this ad with your updated CV or email it to

Software Engineer (Kotlin) - GreenTech Sector 🌱 💰 £60,000 - £80,000 + bonus + excellent Benefits 📍 Hybrid - 2 days onsite in Central London (Zone 1) Are you a JVM engineer curious about Kotlin – or already loving it? Want to solve complex problems that contribute to a greener, more sustainable world? 🌍🌱 Join a high-calibre, product-centric engineering team building modern, customer-facing and energy-focused systems in one of the UK’s most exciting clean tech scaleups. You’ll join one of their core teams, diving deep into production systems, identifying bottlenecks and driving long-term architectural decisions that support scale, resilience and product growth. What You’ll Do • Design, build and evolve platform architecture across distributed systems., • Analyse production systems to uncover and resolve performance issues., • Contribute to backend design using Kotlin (or JVM), supporting a polyglot mindset., • Collaborate across engineering to improve practices, tooling, and system design., • Mentor and influence technical direction company-wide. Tech & Environment • Kotlin (JVM), distributed systems, microservices, CI/CD, • Cloud-native platforms (AWS/GCP), modern engineering culture What They're Looking For • JVM/backend experience; Kotlin is a bonus, but not required., • Strong systems thinker with a track record of architectural leadership., • Experience scaling production systems in fast-moving product environments (ideally starups/scaleups), • Clear communicator who enjoys cross-functional collaboration and technical ownership. Want to work on complex problems with real-world environmental impact? Apply now and help shape the future of clean energy at scale. 🚗🔌

Role Title Principal Forward Deployed Engineer – AI & M&A Location London, United Kingdom (Hybrid) Employment Type Permanent Role Overview We are seeking a highly experienced Forward Deployed Engineer (FDE) to partner closely with executive stakeholders, deal teams, and client leadership to deliver high‑impact AI‑driven solutions in Mergers & Acquisitions and complex enterprise transformation contexts. This role is ideal for a senior technologist with 20+ years of experience, combining deep hands‑on engineering capability with strategic advisory skills. You will sit at the intersection of AI, data, product, and business, translating ambiguous commercial objectives into deployable, production‑grade solutions that directly support transaction strategy, value creation, and post‑merger integration. Key Responsibilities Client & Stakeholder Engagement • Act as a trusted technical advisor to C‑suite, deal teams, and senior enterprise stakeholders during pre‑deal, due diligence, and post‑merger integration phases, • Partner with investment teams, corporate development, and strategy functions to shape AI‑led M&A use cases, • Lead forward deployment of AI, data, and analytics solutions directly within client environments, • Design and implement end‑to‑end solutions covering data ingestion, modeling, orchestration, and deployment, • Rapidly prototype, iterate, and productionise AI‑enabled workflows under tight deal timelines, • Apply machine learning, generative AI, and advanced analytics to support M&A use cases such as:, • Commercial and operational due diligence, • Synergy identification and value leakage analysis, • Technology landscape rationalisation, • Post‑merger performance monitoring and integration tracking, • Provide hands‑on technical leadership across architecture, engineering standards, and best practices, • Guide teams on scalable, secure, and compliant system design, • Influence platform, tooling, and data strategy decisions at an enterprise level Essential • 20+ years’ experience in technology, including senior engineering, architectural, or technical leadership roles, • Proven experience working as a Forward Deployed Engineer, Principal Engineer, Solutions Architect, or similar client‑facing technical role, • Strong track record delivering AI‑driven solutions in real‑world, production environments, • Demonstrated experience supporting M&A, private equity, corporate development, or large‑scale transformation initiatives, • Deep hands‑on expertise with:, • Python and modern data/AI engineering stacks, • Data pipelines, distributed systems, and cloud platforms (AWS, Azure, or GCP), • Machine learning and/or Generative AI workflows, • Strong understanding of how technology enables value creation in M&A contexts, • Experience communicating technical trade‑offs, risks, and ROI to executive and investment audiences, • Experience in consulting, private equity–backed environments, or high‑growth technology companies, • Background in data‑intensive platforms, AI products, or decision intelligence systems, • Exposure to regulated industries (e.g. financial services, insurance, healthcare), • A senior, high‑impact role operating at the intersection of technology, AI, and corporate strategy, • Opportunity to influence mission‑critical M&A decisions using cutting‑edge AI and data solutions, • Competitive compensation and benefits package, • Long‑term career growth in a technically ambitious, client‑focused environment, • London‑based role with flexible working arrangements

We are partnering with one of the most prestigious and discreet quantitative trading firms globally. Our client operates at the cutting edge of systematic trading, leveraging advanced research, high-performance computing, and world-class engineering to drive consistent alpha. They are seeking an exceptional Senior Python Software Engineer to join their core trading infrastructure team. This is a rare opportunity to work alongside some of the most accomplished engineers and researchers in the industry. The Opportunity You will play a pivotal role in designing and building scalable, low-latency systems that underpin live trading strategies across global markets. The environment is intellectually rigorous, highly collaborative, and uncompromising on technical excellence. Key Responsibilities • Architect and develop high-performance Python systems for trading, data processing, and research, • Collaborate closely with quantitative researchers and traders to productionise models, • Optimise systems for latency, throughput, and reliability in a live trading environment, • Contribute to core infrastructure, including data pipelines, simulation frameworks, and execution systems, • Drive best practices in software engineering, testing, and system design Technology Environment The stack is modern, performance-focused, and constantly evolving. You will work with: • Languages: Python (core), plus exposure to C++ / Rust for latency-critical components, • Data & Compute: NumPy, Pandas, PyArrow, Polars, • Machine Learning: PyTorch, TensorFlow, scikit-learn, • Infrastructure: Linux, Docker, Kubernetes, Terraform, cloud (AWS/GCP), • DevOps & Tooling: Git, CI/CD pipelines, Prometheus, Grafana, • Networking & Exchange Connectivity: FIX, binary protocols Candidate Profile We are explicitly targeting individuals with exceptional academic and technical pedigree: • Degree (Bachelor’s, Master’s, or PhD) in Computer Science, Mathematics, Physics, Engineering, or a related field from a top-tier university (e.g. Oxbridge, Ivy League, or global equivalents), • Outstanding academic record (First Class / GPA 3.8+ or equivalent), • Proven experience building complex systems in Python within high-performance or data-intensive environments, • Strong foundations in algorithms, data structures, and system design, • Deep understanding of concurrency, distributed systems, and performance optimisation, • Prior experience in trading, finance, or another highly demanding technical domain is advantageous but not essential Personal Attributes • Exceptional problem-solving ability and intellectual curiosity, • High standards of ownership and accountability, • Ability to operate effectively in a fast-paced, high-stakes environment, • Strong communication skills with both technical and non-technical stakeholders Why This Role • Work at the forefront of quantitative trading and technology, • Collaborate with world-class talent in a flat, meritocratic environment, • Access to significant computational resources and high-quality data, • Highly competitive compensation structure, including substantial performance bonuses