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We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. About Us Join us to rethink how sports are experienced. Backed by our new AI-driven platform, we will be building live sports experiences to be more immersive, more personalised - giving fans a chance to take control, watch the game from new angles, even participate in the action, on any device. As a Senior Data Scientist, you'll work within a specialised machine learning team to build cutting-edge capabilities of the AI-driven platform. We work in a fast-paced, exploratory environment where ideas are rapidly prototyped, tested, and refined. It's a space that rewards creativity, flexibility, and a hands-on approach. If you enjoy working iteratively, experimenting with new techniques, and solving open-ended problems, you'll feel right at home. If not, this may not be the right fit - and that's okay too. What you'll do The Senior Machine Learning Engineer will be responsible for developing and implementing data-driven solutions to deliver new innovative sports focussed products to our significant customer base of sports fans. They will be able to identify trends in large datasets and develop models that can predict future outcomes. Additionally, they must be comfortable working with stakeholders across the Organisation to ensure their insights are effectively communicated and implemented. Responsibilities : • Develops predictive models using advanced statistical techniques such as regression, classification, clustering, etc., • Analyses large datasets to uncover patterns and relationships between variables., • Collaborates with stakeholders across the Organisation to understand their needs and develop appropriate solutions based on data analysis results., • Own the full lifecycle of ML solutions - designing, deploying, and maintaining models in production environments., • Monitors performance of existing models over time and adjust parameters accordingly for optimal results., • Stays up-to-date on industry trends related to data science technologies and best practices in order to recommend new approaches when necessary., • Build and integrate cloud-native components to expose models as scalable endpoints and publish inference results as events for downstream systems., • Establish and maintain robust MLOps practices, including CI/CD pipelines, monitoring, retraining strategies, and automated testing., • Mentor and guide junior data scientists and engineers on best practices for productionising machine learning. What you'll bring, • A strong collaborative mindset, with the ability to work across disciplines and contribute creatively, • Have a good understanding of large language and multi-modal models., • Good experience in Python, Docker and developing in a cloud-based environment (ideally AWS), • A strong background in data analysis and machine learning, with proven experience, ideally 3 yrs+ architecting and building end-to-end ML systems for industry problems, • AWS Machine Learning Certification desirable, • Experi e nce using Infrastructure-as-Code to deploy ML solutions on AWS The rewards T here's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We’re looking for a highly skilled Principal Engineer with a passion for data, cloud technologies, and building robust, scalable solutions – who also brings. Partner with product owners and engineers to develop data exchange protocols, ensuring best practices in data governance and security. Con

Join us as a Principal Engineer for CIAM at Barclays, where you will support the acceleration of a new digital platform capability, transforming and modernising our digital estate to build a market-leading digital offering with customer experience at its heart. This is an exciting and key role, partnering with business aligned engineering and product teams, to ensure a collaborative team culture is at the heart of what we do. To be successful in this role you should have: • Strong hands-on experience in the configuration, deployment and running of ForgeRock COTS based IAM solutions (PingGateway, PingAM, PingIDM, PingDS), including designing and implementing cloud-based, scalable and resilient IAM solutions for large corporate organisations., • Experience with IAM engineering experience across authentication, authorisation, single sign-on, multi-factor authentication, identity lifecycle management, OAuth2.0, OpenID Connect, SAML and policy management, • Expertise with JavaScript, Java, Python, and must be comfortable with API and microservices development., • Strong working knowledge of Site Reliability Engineering principles, • Experience with Cloud computing (AWS is essential, Azure is a plus) Some other highly desirable skills include: • Experience in DevSecOps - knowledge of Product Operating Model, • Knowledge of Infrastructure as a Code tooling (Chef is essential, Ansible is a plus), containerization, • knowledge of authentication and biometric system design is highly desired., • Open-source experience You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role will be based out of our London office. Purpose of the role To drive technical excellence and innovation by leading the design and implementation of robust software solutions, providing mentorship to engineering teams, fostering cross-functional collaboration, and contributing to strategic planning to ensure the delivery of high-quality solutions aligned with business objectives. Accountabilities • Provision of guidance and expertise to engineering teams to ensure alignment with best practices and foster a culture of technical excellence., • Contribution to strategic planning by aligning technical decisions with business goals, anticipating future technology trends, and providing insights to optimize product roadmaps., • Design and implementation of complex, scalable, and maintainable software solutions, considering long-term viability and business objectives., • Mentoring and coaching to junior and mid-level engineers to foster professional growth and knowledge sharing, elevating the overall skillset and capabilities of the organization., • Collaboration with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions and ensure a cohesive approach to product development., • Innovation within the organization by identifying and incorporating new technologies, methodologies, and industry practices into the engineering process. Vice President Expectations • To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures.., • If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.., • If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.., • OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.., • Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment., • Manage and mitigate risks through assessment, in support of the control and governance agenda., • Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does., • Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business., • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies., • Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions., • Adopt and include the outcomes of extensive research in problem solving processes., • Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Kings Cross, London, or Stevenage (2-3 days on site).Our pharmaceutical client see a world in which advanced applications of Machine Learning and AI will allow them to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, drivin

Join us as a Senior Security Engineer for CIAM at Barclays, where you will bring to life a new digital platform capability, transforming and modernising our digital estate to build a market-leading digital offering with customer experience at its heart. This is an exciting and key role, partnering with business aligned engineering and product teams, to ensure a collaborative team culture is at the heart of what we do. To be successful in this role you should have: • Experience across configuration and integration with Hardware Security Module (HSM) and AWS Secrets Manager (ASM) tooling, certificate lifecycle management, e.g. rotation, revocation, and in automating security workflows, • Experience using GitLab CI/CD pipelines, AWS CLI or Chef., • Strong experience with Cloud Security expertise across the following areas: AWS security controls, policies and automation, CLI tools, role based and attribute-based access controls, cryptographic protocols and secure key lifecycle management, advanced threat modelling, SOC operations, securing microservices and APIs, DevSecOps best practices, vulnerability scanning, tools, approaches, vulnerability patching and vendor management for security, • Strong experience in penetration testing and hands-on coding in at least one of the following: JavaScript, Java, Python. Some other highly desirable skills include: • Experience in hands-on configuration, deployment and operation of ForgeRock COTS based IAM solutions (PingGateway, PingAM, PingIDM, PingDS) with embedded security gates, HTTP header signing, access token and data at rest encryption, PKI based self-sovereign identity, or open source You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role will be based out of our London office. Purpose of the role To develop, implement and maintain solutions that support the safeguarding of the banks systems and sensitive information. Accountabilities • Provision of subject matter expertise on security systems and engineering patterns., • Development and implementation of protocols, algorithms, and software applications to protect sensitive data and systems., • Management and protection of secrets, ensuring that they are securely generated, stored, and used., • Execution of audits to monitor, identify and assess vulnerabilities in the banks infrastructure/software and support the response to potential security breaches., • Identification of advancements in to support the innovation and adoption of new cryptographic technologies and techniques., • Collaboration across the bank, including developers and security teams, to ensure that cryptographic solutions align with business objectives, security policies and regulatory requirements., • Development/ Implementation and maintenance of Identity and Access Management solutions and systems. Vice President Expectations • To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures.., • If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.., • If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.., • OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.., • Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment., • Manage and mitigate risks through assessment, in support of the control and governance agenda., • Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does., • Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business., • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies., • Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions., • Adopt and include the outcomes of extensive research in problem solving processes., • Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Cisco Firepower Management Centre.

Senior Golang Software Backend Engineer Fully Remote/UK Working Hours A couple of Senior Golang Software Backend Engineers are required for an exciting and innovative Software house company based in London and Hong Kong. The company operates at the forefront of sports, entertainment, and cryptocurrency, and they are growing rapidly. The successful Software Backend Engineer will be responsible for developing and maintaining company’s complex backend systems, working closely with other engineers to design and implement efficient and reliable solutions that deliver exceptional user experiences. But more than that, they are seeking a results-oriented individual who is eager to coach and mentor team members, helping them grow both professionally and personally. Their development team uses various different programming languages with a particular focus on Golang but they are looking primarily for strong software developers first and experiences of technologies second. The company is made up of some of the very best software developers and mathematicians. Each brings their unique perspective from their backgrounds in computer science, physics, mathematics, statistics and engineering. Essential Skills • 10+ years commercial experience in software engineering., • Demonstrable experience building high-quality and scalable digital products and features., • Strong project management and communication skills with the ability to collaborate across cross-functional teams., • Ability to confidently make technical decisions in the best interests of users and the business., • Strong knowledge and hands-on experience of designing well defined interfaces, we’re using gRPC, protocol buffers, RESTful JSON and GraphQL., • Strong knowledge and hands-on experience of microservice architectures, best practices and patterns., • Hands-on experience with caching, they are primarily using Redis and Object storage buckets., • Hands-on experience with relational databases such as SQLite, MySQL or PostgreSQL., • Hands-on experience with lean DevOps, including containerized services managed with Kubernetes and managed serverless environments like Lambdas, Cloud Functions, and Cloud Run., • Hands-on experience with CI/CD pipelines, we’re using Google Cloud Build and Github Actions., • Fluency in English (verbal and written). Join an exciting company with many opportunities to progress your Golang functional programming career. Send your CV for immediately review and further details. Senior Golang Backend Engineer Fully Remote/UK Working Hours

We’re seeking a Senior Broadcast Engineer to join a fast-moving broadcast technology team based in London.This role would be an ideal match for someone with a strong background in live production and a passion for cloud and IP broadcast solutions.In this role, you’ll combine your hands-on techni

Platform Engineer (Linux Cloud) London / WFH to £120k Are you an infrastructure technologist with a strong knowledge of Linux and public cloud services? You could be progressing your career at a hugely profitable High Frequency Trading firm that specialise in crypto markets. As a Platform Engineer you will join a small team responsible for the 24x7x365 globally distributed ethical web scraping function, supporting a multi-region high frequency operation. You'll proactively identify, analyse, drive and own performance and process improvements, collaborating closely with the development team on architecture and prioritisation and with the infrastructure team on common infrastructure improvements across the estate. Location / WFH: You'll join the team in Central London with flexibility to work from home twice a week (please note there is an on-call requirement). About you: • You have commercial experience as a Platform Engineer, DevOps Engineer or SRE, • You have strong bash or Python scripting skills, • You have multi-cloud experience (AWS and / or Azure preferred), • You have a strong knowledge of Linux, • You're collaborative and pragmatic with great communication skills, • You hold a technical degree What's in it for you: As a Platform Engineer you will receive a competitive package: • Salary to £120k, • Bonus (c50% of base), • Pension, • Hybrid working, • Career progression Apply now to find out more about this Platform Engineer (Linux Cloud) opportunity. Ref: PR/100229/B/KS At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

About Us: We’re a VC-backed stealth-mode company building behavioural AI solutions for the retail industry. Our platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience. Role: We’re looking for an experienced Frontend Engineer to work closely with product, design, mobile, and machine learning team members to design & build experiences that re-define retail shopping. You'll help help build engaging & intuitive web experiences using highly responsive UI components and real-time data flows. Responsibilities: • Design and implement reactive, real-time web interfaces that help manage & redefine what is possible with in-store content personalisation, • Understand & advocate for user needs/wants, • Translate user and business needs into functional frontend code, • Contribute to API and broader system design & documentation Essential Qualifications: • Strong understanding of UX principles and web design fundamentals, • Expert in Javascript, Typescript, HTML, and CSS, • Extensive experience with modern web frameworks and patterns (eg. React, Next.js, Tailwind), • Experience with real-time and bi-directional communication protocols and patterns (eg. WebSockets, SSE), • Built and deployed services on any major cloud providers' services (Azure, GCP, AWS), • AI-Native development: fast iteration & prototyping using AI tools such as Lovable, Bolt, or Cursor as a collaborator. Nice to Have: • Some experience in backend development (Python/Java/Go), • Experience with container orchestration and service containerisation (Kubernetes, Docker), • Worked in an IoT or Edge-oriented architectures, • Experience or knowledge in retail POS, inventory, or loyalty systems

💻 Founding Engineer (Typescript/Rust) 🙌 Mid/Senior ⏰ Website Time Machine 🏴 4 Days Onsite in London - Kings Cross 💷 £60,000 - £100,000 (Permanent) + Minimum 1% Equity + Benefits Our client is a pre-seed startup building a website time machine — a platform that alerts users whenever tracked websites change. Backed by early traction with customers like Eleven Labs and Gradient Labs, the team is blending deep tech with a touch of AI to create a product that changes how the web is monitored. This is an opportunity to join at the ground floor as a founding engineer, shaping not only the product but also the engineering culture and future growth of the company. We are looking for a Full Stack Engineer who is excited to grow into Rust and take ownership of critical parts of the system. No prior Rust experience is required — this is a rare chance to learn Rust in production. Currently, the stack is around 50% Typescript, 50% Rust but fluid. Requirements • Strong Typescript experience (5+ Years), • Interest in (and excitement about) learning Rust — no prior experience required, • Strong SQL experience, • Cloud experience (AWS preferred), • Willingness to work 4 days onsite in London, • Comfort with cloud/infrastructure technologies (e.g. Kubernetes, Docker, AWS/GCP), • Experience in early-stage or startup environments is a plus Benefits • Salary from £60k - £100k, • Guaranteed pay rise upon Seed round of funding, • 30 days holiday + local national holidays, • Flexible Hours, • Minimum 1% Equity!, • Quarterly socials and workshops, • Pension match up to 5%

OVERVIEW SaaS and AI technologies are revolutionizing how we work, enabling teams to move faster and innovate. Yet these advances introduce new risks around data privacy and security. Metomic exists to protect sensitive data wherever it lives - in SaaS apps like Slack, Google Drive, or in AI-driven tools and workflows. We build technology that integrates seamlessly with SaaS and AI ecosystems, automatically detecting and safeguarding sensitive information, while letting organizations use modern tools without fear. Our customers include forward-thinking companies like Revolut, Octopus Energy, and Crypto.com. In 2023, we raised a $20 million Series A to fuel our mission of redefining data security for the age of SaaS and AI. THE ROLE We’re seeking a Senior Software Engineer to join our team. You’ll play a key role in designing, building, and scaling our core systems, including: • Our sensitive data detection and classification engine, • Large-scale data pipelines handling billions of data items daily, • Systems for sensitive data remediation and automated policy enforcement, • Building out our suite of AI features, like data classification, anomaly detection, etc. Our stack includes TypeScript (Node.js) for backend services, GraphQL, Postgres, and React/TypeScript on the frontend. We deploy to AWS ECS Fargate using GitHub Actions and Terraform continuously releasing to production. AI is a big part of our product, so a strong background here would be advantageous. WHAT WE'RE LOOKING FOR Must-Have • Product Mindset: You’re pragmatic, customer-focused, and driven to build solutions that solve real user problems., • Problem-Solving Skills: You thrive in uncharted territory, tackling novel challenges, investigating root causes, and designing durable solutions., • Forward-Thinking: You balance current needs with future growth, contributing to scalable and robust distributed architectures., • Collaboration: Comfortable working in a fast-paced, collaborative environment with a team of talented engineers. Nice-to-Have • Experience with AI/ML at a large scale, including model training and deployment, • Experience with TypeScript/Node.js in backend service development, • Experience with distributed messaging systems like Kafka, • Knowledge of AWS, Terraform, and cloud infrastructure operations, • Familiarity with Temporal for orchestrating complex workflows, • Experience with observability tools like Datadog for monitoring systems at scale, • Experience operating data-intensive applications in production environments BENEFITS • Remote-Friendly: Work remotely, or join us in our office in Hoxton, London, • Equity Options: Share in Metomic’s success through our tax-efficient EMI scheme, • Private Health Insurance: Coverage from Day 1 via Vitality, • Generous Leave: 30 days annual holiday plus bank holidays, • Learning Budget: £750/year for professional growth, • Team Events: Memorable annual retreats - from Barcelona and Lisbon to the South Downs If you’re excited about building scalable systems, solving complex challenges, and shaping the future of data security in AI and SaaS, we’d love to hear from you.

Full-stack Engineer (AI Focused) – London A fast-growing AI-native enterprise software startup is hiring two experienced Full-stack Engineers in London. The company builds a sophisticated AI workspace tailored to financial modelling, private equity, consultancies and asset managers, with live production deployments at leading institutions. What you’ll be doing • Designing and maintaining modern frontend web apps using React / Next.js, • Developing robust backend services and APIs, preferably in Python (Django, FastAPI, etc.), • Owning large parts of the AI agent infrastructure: building and deploying multi-agent systems, Retrieval-Augmented Generation (RAG) pipelines, model fine-tuning and evaluation frameworks, • Ensuring that AI-powered features run in production at scale — with high reliability, performance and security, • Contributing to cloud infrastructure, containerisation, CI/CD pipelines, monitoring, and optimisation, • Collaborating closely with founders, designers, growth and engineering teams to deliver mission-critical, high-impact features, • Mentoring junior engineers and promoting engineering best practices What they’re looking for • 5+ years of professional software engineering experience, • Solid, hands-on experience with React / Next.js in production environments, • Strong backend development skills (Python preferred) and familiarity with databases (relational or NoSQL), • Experience with Git, DevOps tooling, containerisation, CI/CD, caching or messaging systems (Redis, task queues, background workers), • Previous experience building and deploying AI/LLM-powered systems, especially involving RAG pipelines, model fine-tuning and evaluation, • A structured, proactive approach to problem solving, and comfort working in a fast-paced, high-ambition startup environment Why it’s a great opportunity • Join a tech venture backed by top-tier investors (including Y Combinator), and work directly with founders who have a track record of successful exits, • Competitive salary, equity and performance-based incentives, • Be a key player in scaling the product internationally, with opportunities for real ownership and impact, • Work in a challenging but rewarding environment, alongside smart, tenacious people who thrive in ambiguity If you’re passionate about building real-world AI systems end-to-end — from models to product — and want to be at the forefront of applying AI in enterprise workflows, this could be your next big move.

Location: 📍 London, UK (Hybrid, 3 days/week) Terms: 🕐 Permanent | £70K–95K + bonus, benefits & options About us: Flatpeak connects to energy suppliers globally, streaming real-time electricity prices into devices and platforms for cost-optimised control. We’ve raised over $5M from top VCs in energy, fintech and AI — and we’re just getting started. Our stack: Golang, JavaScript, MongoDB, Snowflake, AWS Serverless, Atlas, Fly, Graphana, Tableau About you: • 5+ years of experience as a Golang engineer, • Built and maintained RESTful APIs, • Familiar with CI/CD and cloud-native development, • Fast learner, open-minded, impact-driven Our process: • Video call with Lead Engineer, • Take-home test, • In-person interview with Lead Engineer + CTO Our benefits: • 💻 MacBook, • 🤒 Paid sick leave, • 💰 Pension contribution, • 📈 Annual salary review, • 🏋️‍♀️ Discounted gym membership, • 👓 Eye care vouchers, • 🍻 Regular socials, • 💥 Share options We work from our Central London office (EC1) at least three days a week to stay sharp on collaboration, communication, and execution. If that suits you, we’d love to hear from you.

AWS DevOps Engineer At the heart of higher education, this organisation delivers trusted data, insights and digital products used by leading universities worldwide. They’re now looking for a skilled DevOps Engineer to help shape and strengthen the infrastructure that underpins their global reach. Role Overview: • Location: Hybrid – London office with flexibility, ideally 1-2 days per week onsite., • Package: £70,000 Basic + benefits, • Industry: Online publishing & data services What You’ll Be Doing: • Maintaining and upgrading AWS EKS clusters and related services, • Enhancing monitoring and alerting with Grafana, • Building and managing CI/CD pipelines for Node, React and Drupal apps, • Configuring Fastly CDN for high-performance content delivery, • Driving AWS governance, cost management and security improvements, • Automating infrastructure with Terraform and scripting (including scaling environments), • Empowering developers to self-deploy infrastructure for new applications, • Streamlining database provisioning, access and role management Main Skills Needed: • Strong AWS expertise, with hands-on experience in EKS cluster management, • Proficiency in Terraform and Infrastructure-as-Code practices, • Experience with CI/CD tools (CircleCI preferred), • Knowledge of scalable web platforms, autoscaling, monitoring and deployment best practice, • Practical experience with Grafana for monitoring and alerting, • Solid understanding of cloud security, IAM and governance What’s in It for You: • Join a small, growing DevOps team with plenty of ownership, • Work on infrastructure powering globally recognised digital products, • Hybrid working and a supportive, collaborative culture, • Opportunities to modernise, automate and make a real impact across the organisation Call to Action: Careers move fast. Let’s make sure yours is heading the right way. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. By applying you are confirming you are happy to be added to the Addition Solutions mailing list regarding future suitable positions. You can opt out of this at any time simply by contacting one of our consultants.

Senior IAM Security Engineer Salary - £120-140k + 30-40% Bonus + Benefits Location – London (Hybrid working pattern – 3 days in office per week) Newly created role within a major UK Hedge Fund who are looking for a Senior Security Engineer to build on and expand their IAM and Authentication capability. First and foremost, they need a Senior level Security Engineer with experience working in cloud-native (AWS/Azure) infrastructure environments, building out CI/CD pipelines, deploying infrastructure/policy-as-code, with a breadth of experience across various cyber disciplines. But crucially within this role, they are looking for someone who can build and run their global IAM capabilities that secure their environments both internally and externally. You will be responsible for designing IAM policy and governance, introducing policy-as-code as well and integrating IAM with the wider CI/CD pipelines, infrastructure-as-code and cloud native services; working with the wider Engineering departments to ensure IAM security is built in from the start. This is an incredibly rare and exciting opportunity to join one of the most advanced Security Engineering departments and take ownership of one of its most pivotal Security service lines, with freedom and financial backing to introduce novel concepts. Key Responsibilities • Build out, operate and lead the global IAM capabilities that secure their environments., • Lead on the automation of IAM policy and governance through policy-as-code; covering identity standards and audit/attestation workflows., • Integrate IAM with the wider cloud-native security services, building it into the CI/CD pipelines and infrastructure-as-code., • Work with wider Engineering departments to ensure IAM is embedded into company-wide development projects and a productive priority, not hindrance. Key Requirements • Minimum 5 years’ experience in a technical security engineering role, with at least 2 focused on Identity & Access Management (IAM), • Experience operating in cloud-native (AWS/Azure) environments building out and operating IAM functions., • Hands-on, practical experience automating IAM Governance and Policy through policy-as-code and integrating into wider Infrastructure-as-code and CI/CD pipelines., • Familiarity with a range of IAM tools and concepts – Saviynt a major bonus but not essential., • Track record and ability to interact with wider Security and Engineering departments to ensure IAM and Security are built in at development stage as a priority, rather than after-thought.

SENIOR MACHINE LEARNING ENGINEER - MLOPS REMOTE (Travel to London once per month) Up to £80,000 COMPANY: We are working with a leading telecoms/mobile network who are looking for an MLOps Engineer that is passionate about tech and working within a fast paced environment. ROLE: • Design, build, and deploy scalable machine learning models to solve complex business problems., • Implement and maintain robust MLOps pipelines, ensuring efficient CI/CD processes for machine learning., • Automate the deployment and monitoring of models in production to ensure continuous performance and stability., • Collaborate closely with data scientists, helping them move models from development to production seamlessly., • Monitor and troubleshoot machine learning models in production environments, ensuring uptime and accuracy., • Develop best practices around model versioning, testing, and governance., • Stay up-to-date with the latest developments in ML engineering, cloud services, and automation tools. REQUIREMENTS: • 4+ years of experience in machine learning engineering, with a strong focus on productionizing ML models and MLOps., • Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)., • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)., • Hands-on experience with CI/CD pipelines, version control, and ML workflows (MLflow, Kubeflow)., • Proven track record of delivering ML models that solve real-world business challenges at scale., • Excellent communication skills with the ability to work effectively in cross-functional teams. If this role looks of interest, please reach out to Joseph Gregory

About Us: We’re a VC-backed stealth-mode company building behavioural AI solutions for the retail industry. Our platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience. Role: We’re looking for an experienced Full Stack Engineer to work closely with product, design, mobile, and machine learning team members to design & build experiences that re-define in-store shopping. You'll help help build engaging & intuitive web experiences and the event-driven & real-time backend services that power them. You’ll work across the stack, implementing highly responsive UI components and real-time data flows and APIs on a backend designed for scale & flexibility. Responsibilities: • Design and implement reactive, real-time web interfaces that help manage & redefine what is possible with in-store content personalisation, • Contribute to distributed, event-driven backend services connecting our web experience with information from remote devices and external data sources., • Build and document APIs (OpenAPI/AsyncAPI) for mobile and web clients, • Model and manage structured and semi-structured data across storage layers, • Integrate AI-driven personalisation and real-time insights into user flows, • Contribute to overall system design: service boundaries, data ownership, scaling, and observability Essential Qualifications: • Built modern full-stack applications (Python/Java/Go + React), • Worked with a variety of storage technologies (eg. Postgres, Mongo, Redis, Object), • Experience with async and bi-directional communication protocols and patterns (eg. WebSockets, SSE), • Designed and implemented event-driven distributed systems (eg. Kafka/Pulsar, RabbitMQ, MQTT, or similar), • Experience with container orchestration and service containerisation (Kubernetes, Docker), • Built and deployed services on any major cloud providers' services (Azure, GCP, AWS), • Worked with AI development tools (eg. Bolt, Lovable, Cursor) to speed up iteration & prototyping Nice to Have: • Worked with real-time data collection and/or processing, • Worked in an IoT or Edge-oriented architectures, • Experience or knowledge in retail POS, inventory, or loyalty systems

Senior Software Engineer Key Technologies: C#, .NET, React, AWS, Docker, Kubernetes City of London, United Kingdom Perm Role: £80,000 - £120,000 Harrington Starr has partnered with a Global Financial Services Vendor and they are looking for a Senior C#, .NET Software Engineer to join their growing team! This role provides the perfect opportunity to launch your career in a well-established, dynamic environment. Key responsibilities: • Immediate contribution to design, coding, and testing of modern web applications., • Design and development of applications used both internally and externally., • Consistently suggesting and implementing new and innovative ideas., • Build meaningful relationships quickly and effectively, collaborating with insight and agility. Benefits: • Fully funded learning and certifications., • Private medical insurance., • Pension scheme., • Hybrid working in Central London., • Excellent salary base of up to £120,000 based on experience. Key skills, experience and qualifications required: • Excellent knowledge and experience with C#, .NET and React.., • Experience with cloud technology – specifically AWS., • Knowledge of TDD/BDD., • Excellent communication skills., • Unrestricted right to work in the UK. This role offers hybrid working, with an office location based in the City of London. This role will suit a Senior Software Engineer, with expert C#, .NET experience and commercial use of React having a direct impact from the get-go. Apply below and if you have any questions, please contact me via LinkedIn or email – .

Senior DevOps Engineer | London on-site (5 days p/ week) | AWS, Terraform, Docker, Kubernetes, Angular, C# | £100-110K + Benefits Overview An award-winning sports technology and betting operator with a global footprint are seeking an experienced DevOps Engineer to work closely with Development, QA, and Product teams to enable seamless Continuous Build, Integration, and Deployment. The role requires expertise in cloud infrastructure, automation, and security within a regulated environment. Key Responsibilities & Requirements • Strong cloud experience with AWS, • Essential to have extensive experience with Terraform, • Enhance and maintain build systems with GitLab CI/CD., • Administer and optimise containers with Docker and Kubernetes, • Experience with Angular and C# is required, • Automate testing and deployment pipelines., • Monitor and strengthen infrastructure security., • Take on a broad range of responsibilities in a fast-growing environment. This role is London based and will require 5 days in the office. Unfortunately, there will be no sponsorship available on this one. Senior DevOps Engineer | London on-site (5 days p/ week) | AWS, Terraform, Docker, Kubernetes, Angular, C# | £100-110K + Benefits

About the Role We’re looking for a skilled and experienced Lead Data Engineer on behalf of a London based client to help build and scale real-time data capabilities within a fast-moving digital organization. This is a senior-level, hands-on role with both technical ownership and leadership responsibilities, including the line management of engineers. You’ll architect and deliver scalable data infrastructure and pipelines, enabling real-time analytics and decision-making across the business. Working closely with engineering, product, and analytics teams, you'll play a critical role in ensuring data is accurate, timely, and usable across the organization. What You'll Be Doing • Design, develop, and maintain real-time data pipelines that are scalable, efficient, and fault-tolerant, • Integrate data from multiple sources to support real-time insights and downstream applications, • Optimise data infrastructure for low-latency and high-throughput performance, • Lead and mentor data engineers, providing direction, support, and regular feedback, • Define and enforce best practices around data quality, security, and governance, • Collaborate with cross-functional teams to deliver solutions aligned with business goals, • Own monitoring, alerting, and logging processes to ensure pipeline stability and resilience, • Continuously improve data architecture, tooling, and workflows What We're Looking For • Strong track record of delivering real-time data pipelines and infrastructure, • Hands-on experience with distributed data processing using tools like Apache Kafka, Apache Spark Streaming, or Apache Flink, • Proficient in Python, Java, or Scala, • Deep understanding of SQL, NoSQL, and time-series databases, • Proven ability to optimise, troubleshoot, and scale data systems in production, • Experience with orchestration and deployment tools like Apache Airflow and Kubernetes, • Advanced expertise in cloud-based data engineering—Google Cloud Platform (GCP) experience is strongly preferred and highly valued, • Familiarity with BigQuery, Pub/Sub, Dataflow, and other GCP-native tools is a major advantage, • Line management or formal leadership experience—comfortable managing engineers and fostering team growth, • Excellent communication and collaboration skills, with a proactive, team-first attitude, • Comfortable working in a fast-paced environment with changing priorities

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 (£8M) Series A, earned recognition in the Chartis RiskTech100® and Everest Group’s Leading 50™, and expanded our products, markets and customer base. 2025 has already been 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, insurance, 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 is not just another tech job, it’s a chance to shape the direction of the due diligence industry with our market-leading product. Whether you’re in engineering, data science, product, AI/ML or infrastructure, you’ll be solving hard, high-impact problems: scaling distributed systems to fuel explosive growth, making sense of multilingual and unstructured data, applying AI/ML to real-world risk, and delivering insights that organisations can trust in high-stakes environments. We’re scaling fast with more customers, more releases, bigger regulatory challenges and a growing expectation that “due diligence” means not only real-time insight, but conducted at pace and cost-efficiency. You won’t just be shipping features, you’ll be shaping architecture, tooling, models, and pushing the boundaries of what’s possible. For people who love learning The Challenge Our product is experiencing tremendous demand, presenting us with the exciting challenge of scaling our platform and technology. We need to deliver accurate insights while doubling down on how we architect, coordinate, and maintain our subsystems. We’re doing all of this against a backdrop of continuous innovation and refinement. The Role We are looking for a Fullstack Engineer (Go + React) to help scale and evolve the core Xapien platform as we grow rapidly. Working directly with our Head of Engineering, you will play a key role in shaping the future of our product. This position involves a mix of backend and frontend development, systems design, and collaborative problem solving across the stack. We are seeking someone with a strong background in modern web development and microservice architecture, and a mindset for clean, maintainable code. Here’s what you will be responsible for: • Designing and building scalable microservices in Go, as part of a growing platform architecture., • Developing intuitive and performant React components to enhance our frontend experience., • Collaborating closely with product and design teams to turn complex user needs into elegant technical solutions., • Writing clean, testable, and maintainable code across the stack., • Participating in architectural discussions and helping shape engineering best practices., • Troubleshooting and resolving production issues across services and systems., • Contributing to CI/CD pipelines, observability, and automation alongside platform engineers. Your Skills & Experience: Must-haves to be successful in this role: • Strong experience writing backend services in Go., • Proficiency in React and modern JavaScript/TypeScript., • Solid understanding of microservices architecture, RESTful APIs, and service-to-service communication., • Experience working with cloud infrastructure (e.g. AWS, GCP or Azure)., • Strong grasp of software engineering fundamentals: testing, documentation, performance, reliability., • Excellent communication and collaboration skills: you're comfortable working cross-functionally with engineers, designers, and product managers., • A team-first mindset: open to feedback, different perspectives, and alternative approaches to coding and code styles. Nobody can do everything, but here are a few related things we’re interested in: • Experience working lower in the stack, e.g., databases, infrastructure, Kubernetes, or observability tooling., • Exposure to CI/CD tooling, • Interest in natural language processing, AI, or distributed systems. 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 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.

📍 Location: Central London / Paddington (3 - 4 days in-office) 💰 Salary: £90k - £100k (some flexibility) + equity 🏷 Sector: SaaS / Analytics / Scale-up / Web3 🕒 Contract: Full-time, Permanent We’re hiring a Senior DevOps Engineer to join a fast-growing 45 people startup and enable them to build tools for global brands for next generation immersive digital environments. As the most senior platform/infrastructure engineer, you’ll own their AWS/Kubernetes estate, Terraform modules, CI/CD pipelines, and observability stack. You’ll also mentor a mid-level DevOps engineer and play a key role in driving platform maturity and security (SOC2). 🧠 What You’ll Be Doing 🔹 Own and evolve the AWS infrastructure (EKS, RDS, EC2, S3, VPC, IAM) 🔹 Scale and secure the Kubernetes clusters (EKS) in production 🔹 Redesign and improve the CI/CD pipelines in GitHub Actions 🔹 Lead the observability strategy – Grafana, Prometheus, CloudWatch 🔹 Implement and manage Terraform IaC across all services 🔹 Lead platform security initiatives and support SOC2 compliance 🔹 Mentor a mid-level DevOps engineer ✅ What We’re Looking For ✔️ Deep production experience in AWS, Kubernetes (EKS), and Terraform ✔️ Proven expertise in GitHub Actions or similar CI/CD tooling ✔️ Strong observability and alerting skills (Grafana, Prometheus) ✔️ Solid scripting (Python, Bash, or Go) ✔️ Security-first mindset and exposure to SOC2 or ISO27001 ✔️ Background in product companies (not consultancies) ✔️ Happy to work 3-4 days/week from the London office 🌱 Bonus Points ➕ Experience with MongoDB, Elasticsearch, PostgreSQL ➕ Startup/scale-up exposure ➕ Familiarity with JavaScript/TypeScript stack ⭐ Benefits? ✨ Full ownership of a modern cloud-native stack ✨ Real impact in a small, product-led engineering team ✨ Work with globally recognised brands ✨ Share options in a Series A company (Series B planned) ✨ Supportive, sociable, and non-siloed engineering culture

Do you want to own the ML infrastructure at a frontier AI startup? Have you built cloud and ML systems from scratch, not just maintained them? Are you ready to shape the backbone of 3D generative AI? SpAItial is pioneering the development of a frontier 3D foundation model, combining cutting-edge AI, computer vision, and spatial computing to redefine how industries — from robotics and AR/VR to gaming and film — generate and interact with 3D content. Backed by £13m in seed funding, with half allocated to compute, SpAItial is a 10-person research-focused team moving fast towards a public demo later this year. We’re looking for a ML & Cloud Infrastructure Engineer to take ownership of our entire ML infrastructure. This isn’t a ticket-handling MLOps role — it’s a chance to build the systems that will power frontier AI research and production at scale. Key Responsibilities: • Design and deploy scalable, high-performance cloud infra for ML workloads, • Build and manage GPU clusters, storage systems, and distributed training environments, • Set up and optimise containerised workflows (Docker, Kubernetes, Terraform), • Implement robust monitoring, incident response, and CI/CD practices, • Collaborate closely with researchers to integrate and scale experiments This person must have experience building ML Infrastructure and cloud architecture from scratch Key Details: • Salary: £100k–£130k (flexible for strong profiles), • Working Model: On-site, London, • Tech Stack: AWS/GCP/Azure, Kubernetes, Docker, Terraform, Python, MLflow/Prometheus/Grafana If you want to shape the backbone of one of Europe’s most ambitious AI startups, we’d love to hear from you.

Ocean Orchestra - Senior Full Stack Engineer At a glance : 💰 £75–95K + equity 🌍 Climate tech with global impact 🛠 Early engineer, greenfield build 🏠 Remote-first UK + London office a few days 🎯 Autonomy, ownership, and direct impact About the Company Founded in January 2025, Ocean Orchestra aims to be a generational force for good in ocean conservation and the ocean economy. Backed by leading SaaS, FinTech and Climate investors, this is an opportunity to apply modern tech to a huge global challenge. Oceans are 71% of our planet and central to climate health, yet receive only a fraction of the world’s investment, technology, and AI innovation. Ocean Orchestra is changing that. Our founding team — ___ , ___ and others [we can happily introduce the other co-founder live; she’s amazing] — have built businesses to global scale. Now, we’re focused on creating lasting, positive change for our planet. About the Role 💰 Salary: £75K-£95K 📈 Equity: Real ownership, significant upside potential. 📍 Location: Remote-first overall, with regular in-person days in our London Victoria office. Wider remote or hybrid options very much available, with flexible arrangements for the right candidate. We have an office in London , for anyone who wants to work in an office. 🤝 Inclusion: We actively welcome applications from candidates of all backgrounds, experiences, and identities. We care about you - your skills, your values, your potential - what you can do, what you want to do, how you work, how you want to work. We believe diverse perspectives are essential to solving global challenges, so we're building a team that reflects the great diversity of our real customers and users across the world. What You’ll Do • Own our engineering stack from MVP to scale — backend, frontend, infra., • Design architecture, choose tools, and set engineering standards., • Work directly with early users to iterate quickly., • Collaborate with the founding team on strategy, hiring, and scaling the tech team., • 5+ years of backend expertise in Go including API design, microservices architecture, gRPC/REST services, and database design (PostgreSQL, Redis)., • Frontend proficiency with React/Next.js, responsive design, and modern JavaScript/TypeScript, • Cloud infrastructure knowledge including AWS services, CI/CD pipelines, and DevOps practices., • System architecture experience designing scalable, maintainable applications from ground up., • Experience in building scalable maintainable low latency SaaS products., • A track record of thriving in fast-moving environments that are full of ambiguity and opportunity., • Expert in solving deep technical problems with customer outcomes top of mind., • Ability to evaluate and make decisions based on a balanced assessment of key factors, including design, scalability, performance, technical debt and cost efficiency., • Working highly collaboratively in a team environment. What We Offer Professional Impact & Growth • Build a high-impact platform from emerging MVP to global scale., • Lead innovation tackling one of the world’s most urgent climate challenges., • Shape both the tech and the company’s culture, processes, and values., • Flexible work arrangements designed around your productivity and life (we really mean this)., • 25 days holiday plus public holidays (on top)., • Pension scheme with company contributions., • Professional development budget (for conferences and growth; we want to invest in you)., • Regular team events and retreats (to help us continually grow together). We’d love to hear from you directly. (No recruiters please, thank you!) . Please email with: 1. Your CV, profile, or anything that shows your best technical and teamwork., 2. A few sentences on why this opportunity speaks to you (no need to write a long response). Ocean Orchestra is an equal opportunity employer, highly committed to diversity and inclusion.

DevOps Engineer | Remote We're a fast-scaling AI startup delivering agentic and LLM-based solutions for real-world problems. As our projects grow, we need infrastructure that's reliable, scalable — and cost-effective. We’re looking for a hands-on DevOps Engineer to help us scale confidently, automate relentlessly, and optimise continuously. If you’re excited about infrastructure-as-code, cloud-native tooling, and supporting next-gen AI systems in production — this is your role. 🔍 What You’ll Be Doing • Design and manage CI/CD pipelines using Jenkins and GitHub Actions., • Provision, scale, and monitor infrastructure using Terraform, with a strong IaC-first mindset., • Deploy containerised applications to Kubernetes and OpenShiftclusters across Azure and AWS., • Package and scale AI/ML workloads, especially agentic systems and LLM-backed applications., • Implement best practices for cost monitoring and optimisation in cloud deployments., • Ensure high system availability, security, and performance using observability and logging tools., • Collaborate with developers, ML engineers, and QA teams to streamline release workflows and environment consistency., • 2+ years in a DevOps or Infrastructure Engineering role., • Must be Security Cleared or willing to undergo SC clearance, • Proven hands-on experience with:, • CI/CD (Jenkins, GitHub Actions), • Kubernetes and OpenShift, • Terraform (must-have), • Azure and AWS cloud platforms, • Knowledge of cost optimisation strategies (e.g. autoscaling, spot instances, cost tracking tools)., • Familiarity with packaging and deploying AI/ML workloads, particularly LLMs and vector-based apps., • Comfortable with containerisation, Git workflows, and scripting (Bash, Python, etc.)., • Exposure to observability tools like Prometheus, Grafana, Datadog, or ELK., • A proactive, detail-oriented approach with strong documentation and communication skills., • Join a team pushing the boundaries of agentic and responsible AI., • Work in a fast-paced, autonomy-driven environment with modern tools and real impact., • Help shape how advanced AI systems are built, scaled, and operated in production.

Engineer (with Data Analytics) – Fintech – London/Hybrid An innovative fintech is seeking a Engineer to join its core engineering team. The business processes terabytes of market data daily using an advanced AWS-based platform, and this role will be central to scaling and optimising that infrastructure. The role: • Design and build scalable solutions on AWS., • Ensure system reliability, monitoring, and performance., • Implement workflow automation and CI/CD pipelines., • Collaborate with engineering teams on large-scale data pipelines., • Continuously evaluate new tools and technologies. Requirements: • Strong Python skills., • Experience with AWS and cloud-based systems., • Background with Linux, Docker, SQL/relational databases., • 2+ years’ industry experience and a STEM degree., • Bonus: Spark, Kafka, Terraform, Airflow or similar. What’s on offer: • Competitive salary + bonus., • Hybrid working (2–3 days London office)., • 25 days holiday + bank holidays, pension, private medical., • Ongoing training, socials, and wellbeing perks. An excellent opportunity for an engineer who enjoys solving complex infrastructure challenges at scale.

About Us We help people move forward with credit and help our colleagues to move their careers forward too. Through innovative consumer credit and embedded finance products powered by groundbreaking technology, we deliver over 300 million transactions every year. Our brands include Aqua, Marbles, Fluid, Bip and NewPay. We partner with leading brands such as AO, Argos, Boohoo, John Lewis and Lloyds Bank. Over 5 million UK customers are supported by our award-winning customer service. What you will be doing • Support end-to-end deployment of ML models (batch and real-time) from code validation through to production rollout under guidance from senior team members., • Work with Data Science teams to facilitate smooth model handover and ensure deployment readiness aligned with implementation standards., • Build and maintain CI/CD pipelines for model deployment, scoring, and operational monitoring., • Debug and fix pipeline issues including data ingestion problems, model scoring failures, and deployment errors., • Write comprehensive tests for ML pipelines (unit, integration, validation) and implement data quality checks and operational monitoring., • Ensure deployed models meet audit, reconciliation, and governance requirements., • Monitor production models for operational health, troubleshoot failures, and track data/variable drift over time., • Work with Platform Engineers within the team to create reusable MLOps templates and support Data Scientists in using them effectively., • Support model migrations across data sources, tools, systems, and platforms., • Participate in code reviews, knowledge sharing, and pod activities (standups, grooming, delivery check-ins)., • Learn from senior team members and contribute to continuous improvement of model delivery practices. Required Skills & Experience • Solid Python engineering background with some experience in ML model deployment, • Familiarity with AWS services and cloud-based ML deployment (SageMaker experience preferred but not required), • Basic understanding of data warehousing concepts and SQL (Snowflake experience a plus), • Experience with or willingness to learn CI/CD tooling (e.g. GitHub Actions), containerization (Docker), and workflow orchestration tools (Airflow/AstroCloud), • Strong debugging and troubleshooting skills for data pipelines and ML systems, • Experience writing tests (unit, integration) and implementing monitoring/alerting for production systems, • Strong data skills, including the ability to explore and validate datasets to ensure model inputs and outputs are correct, • Basic understanding of ML lifecycle concepts and willingness to learn about model registry, versioning, and deployment practices, • Experience collaborating with Data Science teams or similar cross-functional collaboration, • Understanding of software testing and validation practices, with willingness to learn model-specific governance requirements, • Ability to participate in code reviews and learn from feedback, • Good communication skills with both technical and business stakeholders, • Eagerness to learn and grow in ML engineering and deployment practices, • (Nice to have) Any exposure to MLflow, model monitoring, or MLOps tools, • (Nice to have) Experience with data pipeline tools or frameworks Personal Attributes • You're a motivated engineer who enjoys collaborative problem-solving and wants to grow your expertise in ML engineering., • You care about code quality and are eager to learn about model deployment best practices, auditability, and production systems., • You communicate well, ask thoughtful questions, and are excited to bridge the gap between Data Science experimentation and production-grade systems., • You're interested in learning about deployment standards and the audit and reconciliation expectations that come with production ML., • You're enthusiastic about contributing to automated and self-serve model deployment systems., • You take initiative, are reliable in your commitments, and value learning from experienced team members.

Senior Platform / DevOps Engineer - Payments Startup - London Our client is redefining rewards and hospitality, building a product that moves fast, iterates faster, and scales efficiently. They're an early-stage fintech startup on a mission to become a unicorn, with engineering at the heart of everything they do. The Role As the first dedicated DevOps/Platform Engineer, you will design and operate the cloud infrastructure that powers the product. Your key metrics will be developer cycle time and system resilience. You will automate everything while keeping latency low and uptime rock-solid. When infrastructure work slows, you'll jump into product tasks alongside the back-end team, shipping real customer features. What You'll Do • Developer Experience & Velocity: Slash build-test-deploy time with fast CI/CD pipelines, pre-baked dev containers, and on-demand preview environments., • Infrastructure-as-Code: Own Terraform modules that manage AWS accounts, VPCs, ECR, ECS/Fargate, EKS/Kubernetes, RDS, DynamoDB, S3, and more., • Container Orchestration: Standardise images, registries, and rollouts via ECR + ECS/Fargate and Kubernetes (Helm)., • Local Cloud Parity: Use LocalStack (and similar tools) so engineers can spin up near-prod services locally in seconds., • Observability & Resilience: Instrument services with metrics, tracing, and logging; champion autoscaling, chaos drills, and multi-AZ resilience., • Security & Compliance: Automate IAM, secret rotation, and CIS-compliant baselines to meet PCI/PSD2 requirements., • Cross-Functional Collab: Pair with back-end engineers on feature work when infra demands are low—shipping API endpoints, data pipelines, or tooling., • Continuous Improvement: Measure developer cycle time, uptime, and MTTR; iterate until bottlenecks disappear. What We're Looking For Core Skills: • Expertise in AWS, especially ECS, Fargate, ECR, RDS, DynamoDB, IAM, VPC, ALB/NLB., • Infrastructure-as-Code mastery with Terraform (bonus for Terragrunt, CDK)., • Hands-on experience with Docker, Kubernetes/EKS, Helm charts, and blue/green or canary deploys., • CI/CD automation using GitHub Actions (or similar), end-to-end pipelines, automated tests, and rollout safety nets., • Observability skills including metrics, distributed tracing, log aggregation, alert tuning, and on-call ownership., • Comfortable scripting in Bash and at least one higher-level language (Python, TypeScript, Go, etc.)., • Security-first mindset with experience locking down cloud infrastructure and handling secrets at scale. We welcome both senior and strong mid-level candidates who are obsessed with developer happiness, love automating manual work, and enjoy dabbling in product code.

We’re looking for an experienced Full Stack Engineer to help build and scale a modern product used by global businesses. You’ll be joining a small, highly collaborative team where you’ll have a direct impact on both the technology and the way the team works. The Role Take ownership of features end-to-end, from backend services through to the user interface. Contribute to architectural decisions and help set engineering best practices. Support and mentor other engineers, encouraging a culture of clean, maintainable code. Work in a fast-moving environment while keeping long-term quality in mind. Your Experience Strong knowledge of TypeScript in both frontend and backend development. Skilled with React and Next.js, including server-side rendering and modern routing approaches. Confident working with cloud-based infrastructure and designing scalable systems. Comfortable writing tests and ensuring reliability through tools like Jest or Cypress. Able to balance speed with maintainability, and proactive about improving processes. Bonus Skills Familiarity with AWS or other serverless/cloud-native platforms. Experience with GraphQL. Understanding of compliance and governance challenges in enterprise software.

About Us We are a VC-backed startup focused on hyper-personalisation, currently in stealth. Inspired by the latest in recommender systems, we are leveraging transformers and GNNs combined with deep reinforcement learning to build engaging customer experiences for in-store retail. Our mission is to change retail forever. We use advanced AI and our proprietary technology to create hyper-personalised shopping experiences that are both simple and beautiful. About the Job - Foundation Models for Retail We are looking for a Senior Research Engineer with experience in advanced machine learning systems to work with our team of industry leading domain experts and engineers to build foundation models for retail shopping. Key Responsibilities: • Translate latest ML advances into impactful solutions, validate their effectiveness, and deploy them to production systems., • Innovate upon state-of-the-art ML research applied to consumer personalisation., • Optimise machine learning models for performance in cloud environments (e.g., distributed clusters, GPUs). Progression Timeline: • Month 1: Implement and evaluate current SOTA models, benchmark against existing internal models, and identify performance bottlenecks in existing implementations for optimisation., • Month 3: Design and implement a prototype model architecture, achieve quantifiable improvements in model performance metrics, and develop data pipeline components for large-scale training workflows., • Month 6: Deploy an optimised foundation model meeting production requirements, implement algorithmic improvements reducing training time and memory footprint, and document performance benchmarks with detailed ablation studies. Essential Qualifications: • 3-5+ years implementing applied machine learning research in a production setting, • MSc in Computer Science, Machine Learning, or a closely related field, • Strong foundation in machine learning and deep learning algorithms (e.g., transformers, GNNs, supervised/unsupervised learning, reinforcement learning, deep neural networks), • Excellent Python programming skills with experience in developing and debugging production-level code Desired Skills (Bonus Points): • Proven experience in recommender systems, behavioural AI, and/or reinforcement learning., • Building data pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt)., • PhD in Computer Science, Machine Learning, or a closely related field What We Offer: • Opportunity to build technology that will transform millions of shopping experiences, • Real ownership and impact in shaping our product and company direction, • A dynamic and collaborative work environment, • A chance to work with cutting-edge technologies and solve challenging problems, • Competitive compensation, • Equity in a rapidly growing company

Senior Automation Engineer Powering a major transformation in the UK gambling space, this company is building smarter, safer, and more inclusive digital systems — and test automation is right at the heart of that. This role offers the chance to lead automation strategy across a national platform with real social impact. Role Overview: • Location: Watford (3 days in office), • Package: Up-to 80k Basic plus bonus and benefits, • Industry: Technology / Gambling What You’ll Be Doing: • Shaping and leading test automation across digital and retail platforms., • Designing and implementing scalable automation frameworks (web, iOS, Android)., • Driving continuous testing within CI/CD pipelines, working with cross-functional teams., • Coaching automation engineers and embedding best practice across QA streams., • Building stubs, exploring new tooling, and driving test innovation., • Overseeing web/mobile test coordination across internal and third-party teams., • Upholding industry standards in testing, quality, and shift-left practices. Main Skills Needed: • Expert in test automation frameworks (hybrid/native) for mobile and web., • Programming experience: Swift, Objective-C, Java, JavaScript/TypeScript., • Hands-on with CI/CD (e.g. GitHub Actions), device labs (onsite/cloud), and mocking tools., • Strong experience in TDD, BDD (Cucumber preferred), and service virtualisation., • Confident with non-functional testing tools (e.g. JMeter, LoadRunner, Locust)., • Skilled communicator and technical leader, especially in mentoring and code reviews., • Solid grasp of API testing, unit testing, and quality-first development. What’s in It for You: • Be part of a major national digital transformation., • Inclusive, values-led culture with a focus on social good., • Flexible hybrid working (3 days in Watford)., • High-impact role in a team that’s driving standards forward., • Opportunity to shape best-in-class automation from the ground up. Let’s talk about what your next move could look like. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. By applying you are confirming you are happy to be added to the Addition Solutions mailing list regarding future suitable positions. You can opt out of this at any time simply by contacting one of our consultants.

Miryco Consultants are working with a market leading fintech specialising in regulatory solutions, strategy and operations. The firm is a private equity-backed business with excellent growth tragectory. We are seeking a Senior Engineer with strong software experience and ambition to grow and develop their career. Responsibilities: • Design and implement scalable, secure backend services to support a high-availability, data-driven SaaS platform operating in a regulated industry., • Work primarily with Python to build microservices, automation tools, and backend logic, leveraging its rich ecosystem for data processing, compliance workflows, and API development., • Collaborate with cross-functional teams including product, DevOps, and data engineering to deliver end-to-end functionality that meets regulatory and business requirements., • Leverage modern cloud services (AWS, Azure, or GCP) to deploy, monitor, and scale distributed systems in production environments., • Establish and uphold engineering best practices, including CI/CD pipelines, automated testing, and peer code reviews, to ensure code quality, reliability, and auditability., • Mentor and guide junior engineers, providing technical leadership and helping shape the team’s engineering culture and standards. Experience: • Minimum 5 years’ experience working as a software developer in a commercial environment., • Strong python programming experience., • Experience of managing teams., • Ability to effectively share knowledge of development experience and help junior developers continue to improve their development skills over time., • Strong foundations in object-oriented programming. Location: London Please note, our client is unable to offer sponsorship for this opportunity. Finally, should you not be contacted within five working days of submitting your application, then unfortunately you have not been shortlisted for the opportunity. We will however, be in touch should there be any other opportunities of potential interest that are suiting to your skills. For similar roles, please follow ___ For similar roles, please follow

Contract Type: 6 months rolling (with potential extension) Job Overview: We are seeking an experienced AWS Data Engineer to join our team on a contract basis. As part of our data engineering team, you will work with a variety of AWS services to design, develop, and maintain scalable data pipelines. You’ll be responsible for creating robust ETL processes, implementing infrastructure as code, and ensuring that data is processed and delivered in a timely, reliable, and efficient manner. Key Responsibilities: • Design, develop, and maintain robust ETL pipelines using Python and SQL., • Work with AWS services like Lambda, S3, and RDS for cloud-native data architecture., • Utilize Terraform to provision and manage cloud resources in AWS., • Leverage Databricks and PySpark APIs to process large datasets and optimize data pipelines., • Collaborate with data scientists, analysts, and other teams to ensure data availability and quality., • Optimize and troubleshoot data pipelines to ensure scalability and performance., • Ensure proper documentation and adherence to coding standards., • Participate in code reviews and provide mentorship to junior engineers as needed. Required Skills: • Python: Extensive experience writing Python scripts and working with data transformation libraries., • ETL Pipelines: Proficiency in designing and implementing scalable ETL pipelines., • SQL: Strong experience working with relational databases and writing efficient SQL queries., • Terraform: Hands-on experience with Terraform for infrastructure provisioning and management., • Databricks: Strong working knowledge of Databricks, including using Spark (PySpark) for data processing., • PySpark API: Deep understanding of PySpark and its integration with data processing workflows. Nice to Have: • Cloud Native: Experience working with AWS Lambda and other serverless services., • AI/LLM: Exposure to Artificial Intelligence or Large Language Models (LLMs) and their application in data processing., • Snowflake: Familiarity with Snowflake data warehouse for data storage and querying.

Job Title: Data Engineer Location: London (Hybrid) Salary: Open upto GBP £60,000 - £100,000 Per annum - DOE Employment Type: Full time, Permanent About the Role: We are seeking a skilled Data Engineer to join our Digital & Data team. You will work alongside product, design, and cross-disciplinary experts to deliver innovative software solutions and scalable data architectures. This is an exciting opportunity to develop your career in a collaborative, inclusive, and technology-driven environment. Key Responsibilities: • Design, build, and maintain production data pipelines from ingestion to consumption in big data architectures., • Develop ETL processes and manage data warehouses, data lakes, and data movement across multiple sources., • Work with structured and unstructured data, integrating from multiple systems using AWS or open-source tools., • Collaborate with multiple stakeholders in an agile environment to solve complex business challenges., • Participate in live problem-solving sessions, whiteboarding, and asynchronous collaboration to deliver high-quality solutions., • Contribute to the technical growth of the team through knowledge sharing, mentoring, and innovation. Technologies & Tools: • AWS Cloud Services: EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB, • Programming & Scripting: Java, Python, Scala, Spark, SQL, • API integrations, data extraction, and transformation workflows, • Experience with big data processing, analytics, and scalable architectures Qualifications & Skills: • Strong problem-solving and analytical skills., • Experience in designing and deploying production data pipelines., • Hands-on experience with ETL processes, data ingestion, and curation on cloud platforms (AWS preferred)., • Ability to process large amounts of structured and unstructured data from multiple sources., • Comfortable collaborating with cross-functional teams in fast-paced environments. What We Offer: • Hybrid working model (minimum 2 days per week in office/client site)., • Exposure to diverse projects and technology stacks across multiple sectors., • Professional growth with access to technical and non-technical training and certifications., • Collaborative and supportive tech community with mentoring opportunities., • Competitive benefits including private healthcare, pension scheme, annual bonus, and flexible leave.

About Us: We are one of the world’s leading commodities trading houses, leveraging sophisticated technology to trade a broad range of energy, metals, and agricultural commodities globally. Our success is driven by cutting-edge analytics, high-frequency data processing, and a commitment to innovation. We are now looking for a Senior Python Engineer to join our dynamic team in London and drive our next wave of technological advancements. Role Overview: As a Senior Python Engineer, you will be at the heart of our technology platform, building robust systems that enhance our trading strategies, risk management, and data analysis. You will collaborate closely with quants, data scientists, and traders, providing Python-based solutions that directly impact the profitability of the business. This is an exciting opportunity to work in a fast-paced, high-performance environment where you can push the boundaries of technology in financial markets. Key Responsibilities: • Design, develop, and maintain highly efficient Python-based applications for commodities trading, risk management, and real-time data analysis., • Build scalable, high-performance data pipelines to process large datasets from multiple sources, including real-time market data and fundamental data., • Implement robust APIs and microservices to integrate trading systems, analytics platforms, and external data providers., • Optimize performance and scalability of existing systems, ensuring low-latency trade execution and real-time risk monitoring., • Collaborate with quants and traders to prototype and implement algorithms that enhance trading strategies and position management., • Lead code reviews, enforce best practices, and mentor junior developers to foster a culture of excellence., • Work in a collaborative, agile team environment to rapidly develop and iterate on new features and tools. Qualifications: • 5+ years of professional experience in Python development, with a focus on building performant, scalable systems., • Deep understanding of core Python, including its strengths in data manipulation, asynchronous programming, and performance optimization., • Experience with distributed systems, parallel computing, and high-performance processing of large datasets., • Strong experience in data pipelines, working with tools such as Pandas, NumPy, and SQL/NoSQL databases., • Proven experience working in fast-paced environments, ideally within trading, financial services, or high-frequency environments., • Proficiency in developing RESTful APIs, microservices, and working with cloud-based architectures (AWS, GCP, or similar)., • Expertise in testing frameworks, CI/CD, and containerization technologies such as Docker or Kubernetes., • Experience in managing and deploying services in Linux/Unix environments., • Strong analytical and problem-solving skills, with a keen attention to detail and an ability to thrive under pressure., • Fluency in English is required. Preferred Skills: • Experience in commodities markets or broader financial markets., • Knowledge of quantitative modeling, risk management, or algorithmic trading., • Familiarity with big data technologies like Kafka, Hadoop, Spark, or similar. Why Work With Us? • Impactful Work: Directly influence the profitability of the business by building technology that drives trading decisions., • Innovative Culture: Be part of a culture that embraces new ideas, cutting-edge tools, and continuous improvement., • Competitive Compensation: Industry-leading salary, significant performance-based bonuses, and comprehensive benefits package., • Professional Development: Access to world-class learning and development resources, with opportunities for career growth., • Work-Life Balance: Flexible working arrangements, generous holiday allowances, and a strong focus on well-being.

About the Company We are partnering with a rapidly growing FinTech scale-up that’s transforming how financial institutions leverage data to make smarter, faster decisions. With strong institutional backing and an expanding European footprint, this is a high-impact opportunity to be part of a company redefining financial data infrastructure from the ground up. Responsibilities • Design and implement scalable, high-performance data pipelines, • Develop backend services and APIs to support data processing and analytics, • Optimise data workflows for robustness, automation, and reliability, • Collaborate with cross-functional teams including research and product, • Contribute to infrastructure setup and CI/CD best practices Tech Stack • Python, • AWS (Lambda, ECS, CloudFormation, S3), • GitHub Actions (CI/CD), • Vue.js (optional frontend involvement) Requirements • 2+ years’ experience as a Data Engineer or Backend Engineer, • Proficiency in Python and cloud-based development (preferably AWS), • Experience with CI/CD and Infrastructure-as-Code, • Strong problem-solving skills and the ability to work independently, • Experience in a start-up or high-growth environment is a plus Benefits • Competitive base salary with performance-based bonus, • Hybrid working model (Min 1 day in Central London office), • Private healthcare and life insurance, • Regular team events, social activities, and a supportive culture, • Career development opportunities in a growing tech-driven business

Senior Data Engineer Salary: around £75k-85k - plus a very attractive on top Location: London or Leeds - relaxed about hybrid working, if preferred About Us Sports forecasting company specializing in developing player level, play-by-play simulators that generate highly accurate, near-instant outcome projections for sporting events. Since its establishment, the company has focused on serving the emerging sports betting market and, over the past six years, has grown into a globally recognized leader in sports modelling and analytics. Purpose of role: The purpose of this role is to design, build, and maintain scalable and efficient data transformation workflows that empower the business with actionable insights and impactful visualisations. This role bridges the gap between data engineering and business intelligence by owning the transformation layer and enabling clear, trusted, and timely analytics across the organisation. The successful candidate will have a strong grasp of modern data modelling practices, analytics tooling, and interactive dashboard development in Power BI and Plotly/Dash. Key responsibilities: • Designing and maintaining robust data transformation pipelines (ELT) using SQL, Apache Airflow, or similar tools., • Building and optimizing data models that power dashboards and analytical tools, • Developing clear, insightful, and interactive dashboards and reports using Power BI and Plotly/Dash., • Collaborating closely with stakeholders to understand reporting needs and translate them into analytical solutions., • Ensuring high data quality, consistency, and documentation across business-critical datasets., • Managing the semantic layer and ensuring data definitions are aligned across teams., • Contributing to architecture and platform design decisions, especially regarding the analytics layer., • Driving adoption of best practices in analytics engineering, including version control, testing, and CI/CD for analytics code., • Mentoring and coaching junior analytics and data engineers., • Acting as a data evangelist across the company, promoting a self-serve data culture through training and enablement. Skills and Competencies: • Significant experience in building, maintaining, and scaling modern data pipelines and transformation workflows (ELT), ideally within a cloud or lakehouse environment., • Strong experience with data modeling techniques (e.g. dimensional, star/snowflake schemas) and analytics layer design to support business intelligence and self-serve reporting., • Proficiency in analytics engineering tools such as airflow, SQL, and version control systems like Git., • Hands-on experience developing dashboards and reports using Power BI, Plotly/Dash, or other modern visualisation tools., • Strong understanding of data governance, quality, and documentation best practices., • Strong ability to debug and optimize slow or failing data pipelines and queries., • Knowledge of data privacy and security practices, including data masking, row-level security, and encryption techniques., • Experience collaborating with cross-functional teams including data engineers, data scientists, and business stakeholders., • Familiarity with cloud-based data ecosystems such as AWS, Azure, or GCP, and working with data warehouse/lakehouse technologies such as Snowflake, BigQuery, Redshift, or Athena/Glue. Essential: • Proficient in writing clean, efficient, and maintainable SQL and Python code, particularly for data transformation and analytics use cases., • Strong understanding of data modeling concepts, including star/snowflake schemas and designing models optimized for reporting and dashboarding., • Proficient in analytics tools such as Power BI, Plotly/Dash, or similar for building interactive and impactful visualizations., • Deep experience with modern ELT workflows and transformation tools (e.g., dbt, custom SQL models, etc)., • Strong ability to debug and optimize slow or failing data pipelines and queries, • Familiarity with distributed systems (e.g., Spark, Kafka) and how they support scalable analytics solutions., • Experience designing and integrating with APIs and handling system integrations, including data migrations and networked data sources., • Practical experience with cloud platforms such as AWS, Azure, or GCP, and building scalable, secure data architectures., • Commitment to clean systems and documentation, including logging, reproducibility, and data quality tracking., • Strong communication and stakeholder engagement skills, with the ability to translate data needs into technical solutions., • Ability to define and implement data quality checks, profiling rules, and reconciliation processes. Desirable: • Experience troubleshooting complex data issues and proposing resilient solutions in production environments., • Ability to clearly communicate complex technical concepts to non-technical stakeholders and guide decision-making with data., • Awareness of data governance frameworks and compliance standards (e.g., GDPR, CCPA) with experience embedding controls in analytics workflows., • Experience coding in Python, particularly for automation, API integrations, or dashboard development., • Sports industry experience or passion for applying analytics in the sports domain. Feel free to follow my company page (OTA Recruitment Limited) on LinkedIn for more on current and future vacancies

Network Operations Engineer - Systematic Hedge Fund - London Our client, a leading systematic hedge fund, is seeking a Network Operations Engineer to join their global infrastructure team in London. This role is critical to the ongoing management and enhancement of the firm's network infrastructure, with a strong emphasis on automation and Infrastructure-as-Code (IaC) principles. To succeed in this position, you must demonstrate experience operating complex infrastructure at scale, delivered through a software-driven and automation-first approach. Key Responsibilities • Ensure high levels of availability, reliability, and security across the network platform., • Develop and maintain observability tools, implement event-driven automation, and conduct troubleshooting as needed., • Provide ongoing support and operational improvements to existing network infrastructure., • Contribute to the build and operation of a high-performance compute data centre., • Manage and maintain the firm's network infrastructure and automation frameworks. Required Experience & Skills • Proven experience in monitoring and incident resolution across Low Latency LAN, Data centre LAN, WAN transit, and internet/cloud connectivity., • Strong troubleshooting skills, including collaboration with vendors for deep-dive investigations., • Experience in developing and maintaining monitoring dashboards, with proactive alert response and prioritisation., • Commitment to continuous improvement of alerting systems and the overall observably stack., • Hands-on experience with CI/CD pipelines, and tools such as Ansible, Python, and GitOps., • Solid networking knowledge equivalent to Cisco CCNP level, demonstrated through experience or certification.

Vulnerability Management Engineer London / WFH to £75k Are you a tech savvy Vulnerability Management Engineer with a broad range of security knowledge? You could be progressing your career at a global, hugely profitable, Investment Management firm. As a Vulnerability Management Engineer you'll perform assessments and communicate findings to stakeholders on the probability of exploitation and potential impact of vulnerabilities, misconfiguration findings and other potential vectors to establish the appropriate course of action to mitigate potential risk. You'll use Cloud Native Application Protection Platform (CNAPP) technology to assess findings and provide guidance and expertise on fixing issues, collaborating with software engineering teams to instil a security mindset throughout the software development lifecycle through to CI/CD pipelines and making recommendations to developers for securing their code. WFH Policy: You'll join colleagues in the London office with flexibility to work from home one day a week. About you: • You have experience in a similar position with knowledge of common cyber attack types such as DDoS, SQLi, XSS, etc., • You have experience with vulnerability assessment software and prioritisation of results using a combination of various frameworks tied to internal objects (CVE, CVSS, EPSS, etc.)., • You have experience of assessing, documenting and communicating Information Security Risk, • You have a good knowledge of AWS, • You have a background with network security or secure code development, • You're collaborative and pragmatic with great communication skills What's in it for you: As a Vulnerability Management Engineer you can expect to earn a competitive package: • Salary to £75k, • Significant bonus, • Pension (15% employer contribution), • Private Health, Dental and Optical care, • Life Assurance and Income Protection, • 25 days holiday, rising to 30, • Enhanced paternity and adoption packages, plus baby bonus invested, • Plus a range of other perks Apply now to find out more about this Vulnerability Management Engineer opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

Miryco Consultants are working with a high-growth fintech specialising in regulatory solutions, strategy and operations. A private equity-backed business with strong advisory and product divisions, the hiring firm is ambitious to build on an already excellent market reputation and client base. We are seeking a Senior Engineer (Front End) with strong software experience and ambition to grow and develop their career. Responsibilities: • Architect and implement scalable front-end solutions, contributing to overall system design and collaborating with cross-functional teams to ensure seamless integration within a complex, enterprise-grade platform., • Develop clean, efficient, and maintainable code using JavaScript and modern front-end frameworks (e.g., React), while leveraging broader language experience (Java, Python) to support full-stack collaboration., • Collaborate with cloud infrastructure teams (AWS, Azure, or GCP) to support performance optimization, environment configuration, and scalable feature delivery in cloud-native applications., • Establish and maintain CI/CD practices (e.g., GitHub Actions, Jenkins), contributing to the automation of testing, builds, and deployments across development environments., • Lead and mentor front-end engineers, providing architectural guidance, driving framework adoption, and promoting front-end best practices across the engineering organization. Experience: • Minimum 5 years’ experience working as a software developer in a commercial environment., • Strong python programming experience., • Experience of managing teams., • Ability to effectively share knowledge of development experience and help junior developers continue to improve their development skills over time., • Strong foundations in object-oriented programming. Location: London Please note, our client is unable to offer sponsorship for this opportunity. Finally, should you not be contacted within five working days of submitting your application, then unfortunately you have not been shortlisted for the opportunity. We will however, be in touch should there be any other opportunities of potential interest that are suiting to your skills. For similar roles, please follow ___ For similar roles, please follow

Novatus Global is a Series B scale-up RegTech SaaS provider and boutique advisory firm, helping financial institutions manage their most complex regulatory requirements. We combine deep consulting expertise with cutting-edge SaaS solutions, enabling clients to strengthen compliance, enhance resilience, and drive sustainable growth. Our flagship SaaS platform, En:ACT (short for Enable Accurate Compliance in Transaction reporting), is a market-leading solution for regulatory transaction reporting and reconciliation across global regimes. En:ACT automates reporting, reconciles data across systems, and maps errors directly to regulatory rules, helping firms remediate quickly, reduce risk, and meet regulatory obligations with confidence. Already trusted by more than 30 firms worldwide, the platform is scalable, proven, and designed for both business and technical users. Alongside our SaaS offering, our unique model delivers consulting services across Risk & Compliance (including Transaction Reporting and Operational Resilience), ESG, Strategy, Data, and Operations. Unlike larger consultancies, we embed ourselves within client teams to deliver both insight and execution, taking ownership of outcomes and driving measurable impact. Since our launch in 2019, we have scaled rapidly, creating space for our people to grow with the business. Backed by North American private equity investment, and partnerships with the London Stock Exchange Group and Snowflake’s global data platform, we are shaping the future of regulatory compliance through innovation in both advisory and technology. Our growth plans do not stop here; we are on the lookout for top-tier talent to join us on our journey and enable our next phase of success. The Role: Senior Software Engineer Location: London HQ Hybrid working and flexible hours: 4 days in the office and 1 WFH. Novatus Global is seeking an experienced Senior Software Engineer to join our growing team. This role is critical in helping us design, build, and scale our platform. You will be hands-on with system design, data engineering, and solution delivery. Strong experience with Snowflake is essential, as you will play a lead role in architecting and optimising our Snowflake data platform. Key Responsibilities • Serve as a technical leader of the En:ACT Platform, designing, developing, and optimising the application architecture to ensure performance, scalability, and security., • Use prior experience building products on the Snowflake platform to help drive innovation for Novatus’ En:ACT platform., • Build high-quality software by developing reliable applications and data pipelines (ETL/ELT) and writing clean, maintainable, and testable code., • Collaborate closely with Product, Data, and Regulatory Insights teams to translate complex regulatory obligations into effective technical solutions., • Ensure quality and compliance by embedding testing, data governance, and security best practices throughout the development lifecycle., • Mentor and guide mid-level and junior engineers through code reviews, knowledge sharing, and technical leadership., • Contribute to technical decision-making, including architecture, tooling, and process improvements, to support the growth of the platform and the business., • Champion innovation by exploring and adopting new technologies, frameworks, and practices to continuously enhance engineering delivery. About You: • 5–8 years of professional software engineering experience., • Proven expertise with Snowflake (design, optimisation, and performance tuning)., • Strong programming skills in Python, Java, or similar languages., • Solid understanding of modern data engineering practices (ETL/ELT, data pipelines, data modelling)., • Experience with cloud platforms (AWS, Azure, or GCP)., • Strong knowledge of SQL and database design., • Excellent problem-solving and communication skills., • Familiarity with CI/CD, containerisation (Docker, Kubernetes), and modern DevOps practices., • Exposure to regulatory reporting, compliance systems, or financial services technology., • Experience with big data tools and the modern data stack (e.g., dbt, Airflow, Kafka)., • Knowledge of security best practices and data governance. Benefits: • Private Medical Insurance (AXA) – includes mental health, dental, vision, and private GP access, • Employee Assistance Program, • Enhanced parental leave (maternity & paternity), • Professional qualification sponsorship, • Fast career progression based on performance, not tenure, • Holiday entitlement increases with tenure, • Flexible hours with core collaboration time, • Paid volunteering leave, • Gym & fitness discounts, • Monthly team lunches, quarterly socials, and office snacks & drinks, • Interest-based working groups to collaborate and innovate Novatus Global’s Equal Opportunities Statement: Novatus is an Equal Opportunity Employer. All employment decisions are made based on business needs, role requirements, and individual qualifications, without regard to race, age, religion or belief, sex, sexual orientation, gender identity or expression, marital or civil partnership status, pregnancy or maternity, socioeconomic background, disability, or any other characteristic protected under the Equality Act 2010. We maintain a workplace culture that is inclusive, respectful, and supportive. Our recruitment and selection processes are designed to ensure fairness and consistency for all candidates. Reasonable adjustments are available throughout the application and interview process, and candidates are encouraged to contact Human Resources to discuss any specific requirements. This commitment is embedded in all aspects of our employment practices, including recruitment, compensation, professional development, promotion, and workplace conduct.

*Salesforce Marketing Cloud Developer and/or Consultant certifications are required. Applications without these certifications will not be considered. **No recruitment agents. About Us: Ministry of CRM (Blend Crafters Ltd.) is seeking highly skilled and motivated Salesforce Marketing Cloud Developers to join our team. As a key contributor, you will play a crucial role in the development and support of solutions using Salesforce Marketing Cloud and integrated marketing technologies. Join us and be part of a dynamic team that values innovation, teamwork, and customer success. Your Impact: Tailoring Salesforce Marketing Cloud (SFMC) solutions by utilising REST API, AmpScript, CloudPages, SSJS and SQL development, encompassing the creation of scalable marketing automation systems for a premium brand portfolio of 25+ of the world's leading brands. Responsibilities: As an SFMC Developer, you’ll be at the heart of crafting innovative, data-driven marketing solutions for global brands. Here's what you'll be leading: • Bring Strategies to Life: Evaluate client briefs and design cutting-edge solution architectures to power personalized marketing automation and activation plans., • Lead a Talented Team: Manage and inspire a team of SFMC and HTML developers to turn visionary ideas into impactful campaigns., • Collaborate and Innovate: Partner with consultants, project managers, and designers to create exceptional customer journeys that blend state-of-the-art email design with SFMC’s advanced capabilities., • Get Hands-On: Dive into hands-on code development while mentoring and supporting your development team., • Ensure Excellence: Manage documentation processes, debug, and maintain active SFMC automation programs to ensure seamless execution., • Develop Tailored Solutions: Harness the power of REST API, AMPscript, and SQL to create dynamic email templates, sophisticated Cloud Pages, preference centers, triggered email integrations, and 3rd-party API connections., • Build Impactful Campaigns: Develop AMPscript-driven emails, dynamic Cloud Pages, and automation workflows in Journey Builder and Automation Studio that captivate audiences., • Engineer the Future: Contribute to data engineering and system integration projects, ensuring robust platforms that deliver measurable results. Your Skills & Experience: • Applicants must demonstrate at least B1 English proficiency (according to CEFR)., • Deep, hands-on technical understanding of SFMC's data extension architecture, integration, and automation capabilities., • Expertise in Salesforce Marketing Cloud, including Journey Builder, Automation Studio, Email Studio, Content Builder, and Cloud Pages, with experience in preference centers, triggered emails, and API integrations., • Advanced coding skills in AMPscript for dynamic email and Cloud Page development, SQL for querying and managing data within SFMC, and proficiency in HTML, CSS, and JavaScript for responsive email designs and web content., • Strong understanding of data segmentation, personalization, and automation based on user behavior, as well as data engineering for managing data extensions and relational data models., • Proven ability to debug and maintain active SFMC automations and workflows, ensuring smooth execution., • Experience in managing documentation processes to ensure clarity and efficiency in project workflows., • Leadership skills to manage and mentor a team of developers, alongside effective collaboration with consultants, designers, and project managers to deliver seamless campaigns., • Analytical problem-solving skills and attention to detail to architect solutions that meet client needs, combined with the ability to manage multiple projects under tight deadlines., • Solid understanding of marketing automation best practices, customer journey mapping, and email deliverability to ensure impactful campaign execution. Apply via email:

Role Level & Experience • Seniority: Mid to Senior Level Engineer, • Experience: This position is ideal for an engineer with 4-8 years of relevant industry experience, backed by a history of exceptional achievement. Location This role is available in either London, UK or New York, NY. The core team is distributed across these two locations, and the successful candidate will join the team in one of these offices. The Team You will be joining a small, highly selective team of engineers. The standard for this team is exceptionally high; every member is a distinguished performer who graduated at the top of their class from a leading university. The culture is built on a foundation of deep technical expertise, intellectual curiosity, and a commitment to solving the most challenging problems in data systems performance. Team Context & Collaboration Model This is not a traditional infrastructure team; it is deeply integrated with the research division. Engineers in this role function as strategic partners to quantitative researchers, working side-by-side to solve complex data challenges and accelerate the pace of discovery. The daily workflow is highly collaborative and iterative. You will work directly with researchers to understand their hypotheses, model their data access patterns, and identify their most significant computational bottlenecks. The feedback loop is extremely tight; the performance enhancements you design and build will have a direct and immediate impact on the speed and scope of the research and development cycle. Success in this role requires not only exceptional technical depth but also strong communication skills and the ability to translate research needs into robust engineering solutions. Core Responsibilities The main focus of this role is to design and build an intelligent data orchestration layer that manages the lifecycle and locality of massive datasets across a heterogeneous memory and storage hierarchy. The core engineering challenge is orchestrating the seamless movement of data from cold storage (e.g., cloud object stores) to high-speed local SSDs, into system RAM, and ultimately into the memory and caches of the compute accelerators themselves, including CPU and GPU caches. To achieve this, you will move beyond simple caching and develop a predictive system that deeply analyzes the complex data access patterns of research workflows. This system must accurately forecast what specific blocks of data and memory will be needed by a given computation. Crucially, it must also predict when that data might be used in the future, enabling just-in-time data staging to keep all compute units fully saturated. Equally important is the design and implementation of sophisticated cache eviction strategies to intelligently free up space in the faster, more expensive tiers of the hierarchy. The end goal is to create a latency-hiding data fabric that makes the storage hierarchy effectively invisible to the researcher, ensuring the right data is in the right place at exactly the right time. Key Duties • Data Orchestration: Design and implement the core logic for staging and moving data across the storage hierarchy (cold storage, SSD, RAM, GPU memory)., • Predictive Modeling: Analyze historical data access patterns to build and deploy ML models that predict future data needs, including what data to fetch and when., • Cache Management: Develop and fine-tune advanced cache eviction policies to optimize the use of high-performance memory and storage., • Performance Profiling: Conduct in-depth profiling of applications to identify and eliminate I/O bottlenecks and data access latency., • System Integration: Architect and build high-performance Python data loading systems that integrate seamlessly with time-series databases and vector stores., • Collaboration: Work directly with researchers to understand their computational workflows and co-design effective data access solutions. Required Qualifications • Data Orchestration: Design and implement the core data staging and movement logic in high-performance Python., • Low-Level Development: Write, integrate, and maintain performance-critical components and libraries using C++ and Rust to be leveraged by the primary Python application., • Predictive Modeling: Analyze historical data access patterns to build and deploy ML models that predict future data needs., • Cache Management: Develop and fine-tune advanced cache eviction policies to optimize the use of high-performance memory and storage., • Performance Profiling: Conduct in-depth, multi-language profiling of applications to identify and eliminate I/O bottlenecks and data access latency., • Collaboration: Work directly with researchers to understand their computational workflows and co-design effective data access solutions.

Front End Developer / Engineer (TypeScript React Native AI) London / WFH to £65k Want to work on intellectually and technically challenging AI systems at the cutting edge of what is possible, whilst learning and collaborating with an amazing team and enjoying flexible working and a range of other perks? You could be progressing your career as a Front End Developer at a well-established AI company acting as tech incubator within the World Economic Forum to tackle issues like climate change, AI, battery technology and other real world problems. As a Front End Developer you'll design and develop new features and enhancements on the core product that uses Artificial Intelligence to harness knowledge for strategic advantage. You'll work alongside a talented team contributing ideas, collaborating with designers and prototyping new features. There's a modern tech stack, you'll be mainly using JavaScript / TypeScript and React but will be able to pick new technologies and skills up on the job. Location / WFH: You'll be joining a friendly and supportive team in London with flexibility to work from home one day a week. About you: • You are degree educated in Computer Science, from a top tier university (e.g. Russel Group, Oxbridge), • You have Typescript experience combined with strong React and React Native skills, • You're proficient with HTML5 and CSS3, • You have experience of responsive design for desktop and mobile, • You're keen to work in a start-up environment, • You have excellent communication and collaboration skills, • You are a passionate technologist, keep up to date with the latest innovations and learn new things, • You have solid knowledge of software engineering principles, Agile practices, CI/CD and ideally have experience within a cloud environment (AWS preferred), • You are a bright, proactive individual and a strong problem solver with commercial acumen What's in it for you: As a Front End Developer / Engineer, you will earn a competitive package including: • Salary to £65k, • Bonus, • Pension, • Healthcare, • Work with the latest cutting-edge AI technologies, • Excellent training and career development opportunities Apply now to find out more about this Front End Developer / Engineer (TypeScript React Native AI) role. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

Senior Security Engineer London Office - Hybrid: 4 days in the office, 1 day working from home Role Overview Our FinTech Client headquartered in London are currently seeking a Senior Security Engineer to embed security throughout their product development lifecycle. You'll work directly with engineering teams to identify and mitigate security risks through threat modeling, secure code reviews, and integrated security tooling across our web and mobile applications. This role is critical to establishing our secure development practices, implementing industry-standard SSDLC processes, and ensuring our financial products are resilient against evolving threats. Key Responsibilities Secure Development Lifecycle (SDLC) Implementation • Design and implement secure software development practices, • Integrate security gates into CI/CD pipelines following DevSecOps principles, • Establish security quality gates and acceptance criteria, • Develop secure coding standards based on OWASP guidelines, • Conduct in-depth security code reviews for critical features, • Implement automated security testing (SAST, DAST, IAST, SCA), • Configure and tune security scanning tools (Aquasec, Trivy, Dependabot, etc), • Review cryptographic implementations against industry standards, • Validate authentication and authorization implementations, • Lead threat modeling sessions using STRIDE, PASTA, or similar frameworks, • Create threat models for new products and architectural changes, • Identify attack vectors specific to web and mobile platforms, • Develop abuse cases and security test scenarios, • Maintain threat intelligence for fintech-specific risks, • Web Applications: Implement defenses against OWASP Top 10 vulnerabilities, • Mobile Applications: Apply OWASP MASVS and platform-specific guidelines (iOS App Transport Security, Android Network Security Config), • APIs: Implement API security best practices (rate limiting, authentication, input validation), • Build and maintain security testing pipelines, • Integrate security tools with GitHub Actions, • Develop custom security linters and pre-commit hooks, • Create automated vulnerability tracking and remediation workflows, • Implement secret scanning and dependency checking, • Create secure coding guidelines for different technology stacks, • Develop a security champions program aligned with OWASP SAMM, • Conduct security training on platform-specific vulnerabilities, • Provide hands-on guidance during security incidents, • Build internal security libraries and frameworks, • Create threat modeling templates and playbooks Required Qualifications Technical Expertise • 5+ years of application security experience, • Strong programming skills in multiple languages (Python, JavaScript/TypeScript, Golang), • Deep understanding of security vulnerabilities across web and mobile platforms, • Hands-on experience with security testing tools and methodologies, • Expertise in secure coding practices and design patterns, • Expert knowledge of OWASP standards (Top 10, ASVS, SAMM, MASVS), • Understanding of cryptographic principles and secure implementations, • Experience with threat modeling methodologies, • Knowledge of authentication standards (OAuth2, OIDC, WebAuthn), • Familiarity with PCI-DSS, PSD2, and Strong Customer Authentication requirements, • Ability to identify security vulnerabilities through manual code review, • Experience with static and dynamic analysis tools, • Understanding of common vulnerability patterns across languages, • Knowledge of secure architecture patterns and anti-patterns, • Experience in financial services or high-security environments, • Strong communication skills to explain security risks to developers, • Ability to balance security requirements with development velocity, • Collaborative approach to working with engineering teams, • Experience with payment systems and transaction security, • Knowledge of mobile app protection, • Experience building security champions programs, • Background in penetration testing or security research Key Projects & Initiatives As a Senior Security Engineer, you'll lead critical security initiatives, including: • Building threat modeling practice for all products, • Establishing automated security testing in CI/CD pipelines, • Creating platform-specific security standards and libraries, • Direct impact on the security of products used by thousands of businesses, • Work with cutting-edge fintech products across multiple platforms, • Collaborate with talented engineers across 25+ countries, • Modern security tooling and testing infrastructure, • Investment in professional development and certifications, • Clear progression path to Staff/Principal roles If you are interested in joining a truly dynamic organisation where you will play an integral part in shaping the company's security culture, please contact me for further details . intro Consulting Ltd are proud to represent this forward thinking FinTech client. We act as their trusted recruitment partner, connecting top talent with meaningful opportunities.

Join Permutable AI as a Graduate Software Engineer! At Permutable AI, we’re building intelligent systems to automate market analysis using advanced NLP and multi-LLM frameworks. Our mission is to accelerate how financial information is processed, understood, and acted on enabling faster, smarter decisions for financial analysts. As a small, ambitious startup, you’ll work directly with our founder and core engineering team, gaining hands-on experience, mentorship, and the chance to contribute to cutting-edge AI products from day one. What You’ll Do • Design & Build robust software systems – develop scalable backend services and APIs that power our AI-driven applications., • Develop & Optimise data pipelines – implement efficient, reliable systems for ingesting, processing, and serving financial data., • Engineer Cloud-Native Solutions on AWS (Lambda, ECS/EKS, S3, Redshift, etc.) and automate deployments with GitHub Actions & Pulumi., • Collaborate & Brainstorm with our engineering team – we frequently share ideas to innovate, plan strategy and decide on next steps., • Own Your Responsibilities – your code will directly shape our core platform and reach production rapidly. What We’re Looking For • A recent graduate with a degree in Computer Science, Engineering, Mathematics, or a related field from a top university., • Solid programming skills in Python and a good grasp of software engineering fundamentals., • A startup mindset – proactive, resourceful, ambitious, and eager to take ownership in a fast-moving environment., • Bonus: Any hands-on experience with distributed systems, AWS, or AI/LLM applications is a plus (but not required). Why Join Permutable AI? • Hybrid flexibility: Spend 2+ days/week in our Vauxhall hub., • Real responsibility: Contribute to live projects and see your work reach production early in your career., • Mentorship & growth: Learn directly from experienced engineers in a collaborative environment., • Career development: Gain exposure across software engineering, cloud infrastructure, and AI-driven applications at the frontier of automated market analysis.

Senior Backend Software Engineer (multiple vacancies) – Python | FastAPI | AWS | Microservices 💵 £70,000–95,000 base salary + Bonus 📦 Flexible benefits budget | 90 day work-from-anywhere perk 💻 Python, FastAPI, PostgreSQL, DynamoDB, AWS, EKS 📍 Remote first or hybrid (London) InsurTech | Modern, high traffic, scalable microservices development We’ve partnered with a well known name in the insuretech space - one of the UK’s most exciting scale-ups over the past few years. . Following a successful profitability push, they’re now entering a growth phase and expanding their product offerings. They're building out high traffic, scalable, cloud-native, microservices using Python with FastAPI, gRPC GraphQL, AWS (EKS). You'd work in small, product lead, rotating squads giving you exposure to multiple domains and technical challenges around developing complex, high volume, public facing applications used by many. You’ll be joining a collaborative, product-led squad environment, rotating across business domains. This is an opportunity to gain exposure to cloud-native architecture, contribute to new platform initiatives, and accelerate your path to seniority. With a new VP of Engineering in place and strong engineering leadership, they offer the right mix of scale-up pace, engineering maturity, and long-term growth potential. They're looking for a number of bright, engaging Senior and Lead Software Engineers familiar with or interested in working with their tech stack. Tech stack: Python (FastAPI) | gRPC | GraphQL | PostgreSQL | DynamoDB | AWS | EKS | CI/CD pipelines What you’ll be doing: ✅ Contributing to the design and development of scalable backend systems ✅ Working across rotating product squads with full domain exposure ✅ Deploying and owning your code in production (AWS EKS) ✅ Collaborating with product and engineering leads to solve complex problems Nice to have: 🟢 FastAPI, GraphQL, gRPC 🟢 Experience with AWS and CI/CD tooling This is a great opportunity to join a profitable, product-focused company with ambitions to scale in 2025. You’ll be surrounded by experienced engineers and given the tools to take ownership and grow your career. Senior Backend Software Engineer (multiple vacancies) – Python | FastAPI | AWS | Microservices