Cd jobs in United Kingdom - Page 13

Senior Full Stack Software Developer Tech: AWS, NodeJS, TypeScript, JavaScript, ReactJS, React Native Why? start-up financial services, revolutionising the industry Location: Hybrid - 1/2 days in the office (Central London) Our Client A new UK-based financial services provider is launching credit card, personal loans and insurance offerings aimed at delivering fair, flexible, and user-friendly financial products to consumers. The organisation is committed to empowering individuals by enhancing their understanding and control of personal finance through clarity, intelligence, and technology. Senior Full Stack Software Developer - Responsibilities • Design, develop, and maintain advanced applications., • Collaborate with cross-functional teams to define, design, and ship new features., • Guiding and develop the skills of junior engineers., • Optimize components for maximum performance across a vast array of web- capable devices and browsers., • Maintain code and write automated tests to ensure the product is of the highest quality., • Lead the development team in implementing methodologies that enhance project quality and speed., • Troubleshoot and debug to optimize performance., • Provide code reviews, feedback, and mentorship to junior developers., • Stay up-to-date with new technology trends, applications, and protocols Senior Full Stack Software Developer - Experience Required • Proven experience as a Senior Full Stack Developer or similar role with a strong portfolio of projects., • Expertise in Node.js and AWS Lambda for serverless backend services., • Proficiency in React with Next.js for frontend development., • Proficiency in TypeScript, JavaScript and experience with infrastructure as code using Terraform., • Ideal experience with React Native, • Understanding of RESTful APIs and web application architecture., • Experience in a start-up environment., • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience., • Familiarity with RESTful APIs and mobile libraries for networking., • Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model., • Experience with automated testing suites, like Jest or Mocha., • Excellent problem-solving skills and the ability to think algorithmically., • Experience with cloud message APIs and usage of push notifications., • Knowledge of CI/CD pipelines, code signing, and deployment (App Store, Google Play)., • Understanding of secure coding practices., • Excellent written and verbal communication skills For more information, contact Katie at Matched Group. Full Stack Developer / Full Stack Engineer / Senior Full Stack Developer / Senior Full Stack Engineer / Software Engineer / Senior Software Engineer / Software Developer / Senior Software Engineer

About the Opportunity This is a rare opportunity for a Data Engineer to work at the intersection of cutting-edge technology and elite sports performance. You’ll join a collaborative, high-standard engineering team with a culture built around creativity, innovation, and excellence. In this role, you’ll play a key part in designing and developing scalable data infrastructure that directly impacts decision-making at the highest levels of the football world—including performance insights for some of the most well-known footballers in the industry. This is the perfect environment for those passionate about leveraging advanced data engineering to drive real-world results in sports analytics. Key Responsibilities • Architect, design, build, test, and maintain scalable and high-performance data pipelines, • Ensure all systems adhere to best practices for data quality, integrity, and security, • Integrate modern data engineering tools and technologies into cloud-native infrastructure, • Develop tools and solutions to support sports data modeling, analytics, and predictive insights, • Collaborate with data scientists, analysts, and performance experts to enable end-to-end data workflows, • Own the architecture and maintenance of a GCP-based data lake/lakehouse environment Your Background • 4+ years of industry experience in Data Engineering roles, • Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins), • Hands-on experience designing and deploying ETL/ELT pipelines using Google Cloud Dataflow (Apache Beam) or similar tools, • Proficiency in data architecture, data modeling, and scalable storage design, • Solid engineering practices: Git and CI/CD for data systems Highly Desirable Skills • GCP Stack: Hands-on expertise with BigQuery, Cloud Storage, Pub/Sub, and orchestrating workflows with Composer or Vertex Pipelines., • Domain Knowledge: Understanding of sports-specific data types (event, tracking, scouting, video), • API Development: Experience building data-centric APIs using FastAPI, especially in serverless environments (e.g., Google App Engine), • Streaming Data: Familiarity with real-time data pipelines and data ingestion at scale, • DevOps/MLOps: Exposure to Terraform, Docker, Kubernetes, and MLOps workflows What They Offer • A chance to work on real-world data that impacts elite football performance, • Access to high-value datasets, sports science teams, and cross-disciplinary experts, • A flexible hybrid working model (1 day per week in the London office), • The opportunity to grow within a digital-first team at a world-renowned football club, • The satisfaction of applying your engineering skills in an environment where your work directly influences results on the pitch

Java Developer / Technical Lead London / WFH to £115k Are you a hands-on Java Developer with technical leadership skills? You could be progressing your career in a hands-on leadership role at a global FinTech / CFD trading company that has been consistently voted as one of the UKs top employers. What's in it for you: • Salary to £115k + Bonus, • Pension, Private Medical Care, Life Assurance, • Option to buy or sell holiday days, • Wellness benefits and gym subsidy, • Childcare vouchers, • Enhanced paternity leave including shared parental pay and leave, • Employee led LGBTQ+, Women's, Black and Parents & Carers networks with an annual budget for organising events and projects that foster an open, diverse and inclusive culture, • Plus a range of other perks Your role: As a Java Developer / Technical Lead you'll join a fairly new team working on a new crypto offering and split your time between hands-on development with people management (70/30). You'll set the technical direction, mentor engineers and ensure code quality, observability, scalability and security are embedded into high-quality, high-impact releases. You'll be working with a modern, cloud native tech stack using Java, Spring Boot, AWS, Kafka and CI/CD to build highly scalable, distributed systems with 24/7 availability. Location / WFH: There's a hybrid model with two days a week work from home, when you are in the office you'll be based in the City with an upbeat team environment, casual dress code and a range of facilities including roof terrace, restaurant and break out areas. About you: • You have strong technical and people leadership skills, • You have advanced experience of building cloud-native, distributed systems using Java and Spring Boot, • You have a strong knowledge of AWS including Amazon EKS, • You have experience with Kafka and event driven architectures, • You're collaborative and pragmatic with great communication skills, you're comfortable working with other teams and business stakeholders Apply now to find out more about this Java Developer / Technical Lead 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.

A growing SaaS business is hiring a Senior Software Engineer to lead the technical rebuild of its flagship product. This is a hands-on role for an experienced engineer who loves modernising legacy systems and is excited about using AI tools to accelerate design, refactoring, and delivery. You’ll be the technical driver behind a full product transformation, rebuilding a complex ERP-scale system into a modern, cloud-native platform. Working closely with product and technical leadership, you’ll design architecture, write production-quality code, and use AI tools to streamline development and shape how the next generation of the product is built. Role: Senior Software Engineer (AI-Enabled Refactor) Salary: Up to £70,000 per annum (flexible for exceptional candidates) Location: Hybrid – London office once per fortnight, remote within the UK What you’ll be doing: • Lead the refactor of a large legacy system into a modern, scalable cloud-native product, • Design and implement new architecture using AWS microservices, PostgreSQL, Node.js, React, and TypeScript, • Use AI-assisted tools such as OpenAI, LangChain, Claude, or Hugging Face to enhance efficiency, code quality, and testing, • Establish clean engineering practices, including CI/CD, automation, and testing frameworks, • Work closely with product and technical leadership to translate business requirements into technical outcomes, • Mentor a junior developer and help shape future engineering capability What you’ll need: • 7+ years’ experience building or refactoring large-scale applications (ERP or SaaS experience ideal), • Strong technical background with Python, TypeScript, React, Node.js, PostgreSQL, and AWS, • Proven experience in greenfield development and system modernisation, • Interest or hands-on experience with AI-driven development tools, • Solid understanding of clean architecture, automation, and modern DevOps practices, • A collaborative mindset and enthusiasm for innovation What’s on offer: • Salary up to £70,000 per annum (flexible for the right person), • Hybrid working – typically remote with occasional team days in London, • Opportunity to lead a full-scale rebuild project from the ground up, • Freedom to experiment with AI technologies that accelerate development, • Startup-style autonomy backed by the stability of a well-funded organisation If you’re a senior engineer who enjoys modernisation projects and wants to work at the intersection of AI and large-scale software engineering, this is an opportunity to build something that defines the next generation of a leading SaaS platform.

A leading global investment firm is seeking a Weather Data Engineer to help build proprietary weather analytics and infrastructure that directly powers alpha generation across its commodities trading strategies. This is a high-impact opportunity to work at the intersection of data engineering, meteorology, and AI-driven forecasting. Weather data is central to the firm's edge - from raw satellite observations to climate simulations and proprietary model outputs. You'll be part of a specialist team driving innovation in how weather data is ingested, transformed, and deployed across the investment process. Responsibilities: • Design and maintain scalable, cloud-native (AWS) pipelines for ingesting and processing real-time and historical weather data., • Build robust APIs and data services to serve weather data and AI model outputs to researchers, quants, and traders., • Support the development and deployment of proprietary forecasting models, including workflows for blending, debiasing, and fine-tuning., • Collaborate with meteorologists, data scientists, and AI researchers to onboard new datasets and accelerate research., • Implement automated data validation, monitoring, and alerting to ensure reliability and uptime., • Continuously improve infrastructure to reduce time-to-insight and enhance operational scale. Required Skills: • 5+ years of experience building production-grade data systems, ideally in a scientific or financial setting., • Strong Python skills and deep understanding of system architecture and cloud-native development (AWS)., • Experience with weather/climate datasets (e.g., GRIB, NetCDF, HDF5) and sources like NOAA, ECMWF, GFS., • Solid grasp of time-series and geospatial data concepts., • Familiarity with collaborative software development practices (CI/CD, version control, testing)., • Bonus: experience with distributed computing (Spark, Dask), container orchestration (Kubernetes, Airflow), and dashboarding/uncertainty quantification. This is a rare chance to build differentiated infrastructure that directly supports alpha generation. You'll work closely with world-class researchers and technologists and help shape the future of weather-driven analytics in commodities trading. If you're passionate about building scalable systems and want to work at the cutting edge of data, weather, and AI - apply today!

VP of Platform Engineering | Fintech | London (Ideally 1-2 days in London) A scaling, global fintech, powering top-tier e-commerce, payments, and tech brands is looking for a VP of Platform Engineering to lead the next phase of platform maturity. This is your opportunity to: 🔧 Build and scale high-performance, secure, cloud-native infrastructure 📦 Lead platform architecture, CI/CD, DevOps tooling, observability, and security 🌍 Impact product lines used across 9+ international markets 💥 Own platform reliability, developer experience, and operational excellence 🧠 Drive a forward-thinking engineering culture focused on velocity and resilience This is a senior leadership position and requires a deep technical background in architecting and operating high performance platforms, microservices, API-driven development, and distributed systems. The right candidate will be super focused on the culture and team development, with strong experience of leader (not just managing) in a high growth environment. You'll bring: ✅ Deep cloud & platform engineering experience (AWS, Kubernetes, CI/CD, IaC) ✅ Proven leadership of high-performing platform/infrastructure teams ✅ A strategic mindset with the ability to scale systems in complex environments ✅ Experience in high-growth, product-led tech environments (fintech a bonus) 🎯 This is a mission-critical leadership role with real impact on growth, scale, and innovation.

Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 About the Company Our client is an extremely well know, digital marketplace focused on sustainable ecommerce. With over 35 million of active users globally, they’re redefining how people buy and sell second-hand fashion, aiming to make the future of style both circular and accessible. The company has offices in UK, EU and US and experienced significant growth especially around the US market and now operates as part of a leading global e-commerce group. They pride themselves on fostering inclusivity, creativity, and innovation and values that extend to both their community and their teams. The organisation champions diversity, equal opportunity, and flexible working. They offer a progressive benefits package designed to support wellbeing, learning, and work-life balance. The Role of Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 Our client is seeking an experienced Machine Learning Engineering Manager to lead the reccomendation team. This person will drive innovation in how users find and engage with products through advanced machine learning models improving search relevance, personalisation, and conversion outcomes at scale. You’ll lead a talented team of ML Scientists and collaborate cross-functionally with product, data, and engineering leaders to define and execute the ML roadmap for search. This is an opportunity to have tangible business impact while working with cutting-edge technology in NLP, computer vision, and multimodal retrieval. Key Responsibilities for the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 • Lead, coach, and develop a team of ML Scientists, fostering a culture of experimentation, collaboration, and continuous learning., • Partner with Product, Data, and Engineering leaders to shape and deliver an actionable ML strategy that drives engagement, conversion, and growth., • Oversee the design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation., • Collaborate with platform and MLOps teams to ensure robust, efficient, and scalable ML workflows (including CI/CD, feature management, and monitoring)., • Share insights and best practices across other ML teams, particularly in areas of recommendations, ranking, and multimodal representation learning., • Stay current with emerging research in NLP, CV, and multimodal retrieval; champion responsible AI principles; and communicate findings to both technical and non-technical audiences. Requirements for the role: • 7+ years of experience in applied machine learning with a proven track record delivering production models at scale., • At least 2 years of leadership experience managing ML Scientists or Engineers., • Deep expertise in search and recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms)., • Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow., • Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy., • Excellent communication and stakeholder management skills, with the ability to bridge complex ML concepts for diverse audiences., • Familiarity with AWS and Databricks., • Experience with search infrastructure (e.g., OpenSearch or Elasticsearch). What can they offer you? • Private health and mental wellbeing coverage, including access to counselling and coaching., • Salary of up to £140,000+Bonus & Benefits, • 25 days annual leave, plus additional company-wide rest days and volunteer leave., • Flexible hybrid working, with the option to work abroad for limited periods., • Generous parental, IVF, and carer leave policies., • Learning and development budgets for conferences, mentorship, and skills growth., • Pension matching, life insurance, and recognition for service milestones. If you are interested in the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 then drop over your CV and we will give you a call if we think you are a good fit!

Job Title: Solutions Engineer Location: London (Hybrid – 3 days per week) Salary: £60,000 + bonus and perks About Our Client Our client is a global network of life-saving technology companies, united by a mission to create a safer, cleaner, and healthier future. Their portfolio of over 40 businesses delivers innovative solutions addressing critical challenges in health, safety, and the environment. They are undertaking an ambitious digital transformation, investing in smart, connected, and data-driven technologies to modernise operations and accelerate innovation. With a presence across Europe, the US, and Asia Pacific, this is an opportunity to join a forward-thinking organisation recognised as one of the UK’s most admired companies. The Role We are seeking a Solutions Engineer to join the Digital Solutions team, working alongside the Senior Solutions Architect. This role blends hands-on software development with strategic advisory, supporting group-wide technology initiatives while helping individual businesses adopt best practices. You’ll design and prototype solutions across cloud, AI, VR/AR, Edge AI, and emerging technologies. Your work will span both operational and customer-facing projects, giving you the chance to apply cutting-edge technology to real-world challenges and make a measurable impact. Key Responsibilities • Collaborate with the Senior Solutions Architect to design scalable, secure, and high-value technical solutions., • Lead and contribute to group-wide initiatives, including the rollout of in-house Generative AI solutions., • Design and build blueprints, proof-of-concepts, and prototypes using cloud services, AI, VR/AR, and Edge AI., • Provide hands-on guidance to operating companies on software development best practices, technology stack selection, DevOps, and CI/CD implementation., • Develop reusable assets such as reference architectures, templates, and playbooks to accelerate adoption and delivery., • Translate business requirements into technical solutions and deliver within agile environments., • Explore emerging technologies, providing demonstrations and guidance to support adoption across the group. Required Experience & Skills • 5+ years of cloud-native development experience, preferably Azure (AWS a plus)., • 5+ years of software engineering experience, mainly in C# and/or Python., • Strong knowledge of cloud services (Azure App Services, Functions, AI Services)., • Proficiency in REST APIs, microservices, and event-driven architectures., • Experience with Git-based version control (GitHub/Azure DevOps) and CI/CD tools (Azure DevOps, GitHub Actions, Jenkins)., • Solid understanding of solution architecture principles and software testing practices., • Experience delivering customer-facing products and supporting the full development lifecycle., • Excellent communication, stakeholder engagement, and advisory skills. Desirable • Experience with Generative AI, LLMs, RAG, LangChain, or Semantic Kernel., • Familiarity with Microsoft Power Platform., • Front-end experience with React, Angular, Vue.js, Flutter, or Progressive Web Apps., • Exposure to edge computing, VR/AR, or robotics. What You’ll Bring • Curiosity and passion for emerging technology., • Strong coding and problem-solving skills combined with a strategic, advisory mindset., • Confidence navigating complex organisations and driving adoption of best practices., • Pragmatic, entrepreneurial approach with a future-focused mindset. Location & Working Pattern This is a full-time, permanent role based in London, with three days per week in the office and occasional travel to other UK sites. Hybrid working arrangements balance collaboration, travel, and home-based work.

Data Scientist [Analyst/Associate] About the job As a Data Scientist on the AI team at Cerberus, you’ll work on high-impact projects that combine the pace of a startup with the reach of a global investment platform. Our team partners directly with internal investment desks as well as portfolio companies across industries to deliver machine learning solutions that unlock value and accelerate decision-making. Your work will range from developing and validating robust predictive models for pricing and valuation across diverse asset classes to dynamically optimizing prices under changing market conditions. You’ll be expected to translate complex data into actionable insights and ensure your solutions are not only technically sound but also adopted and delivering measurable business value, supporting deal team members and portfolio company executives. We’re looking for data scientists who are passionate about impact—those who bring deep statistical knowledge, thrive in fast-paced environments, and want to see their models deployed, used, and making a difference. What you will do • Build and deliver AI solutions: Design and implement advanced models and systems as both an individual contributor and as part of cross-functional teams., • Drive impact through execution: Apply a hypothesis-driven approach to design solutions, collaborate with technical teams, and deliver results that create measurable business value., • Work in an agile, fast-paced environment: Rapidly iterate and adapt to changing priorities, using creativity and pragmatism to maximize outcomes., • Leverage modern tools and methods: Develop innovative solutions using contemporary platforms, languages, and frameworks, and package IP into reusable components., • Communicate insights effectively: Translate complex technical concepts into clear, compelling narratives that drive understanding and action across technical and non-technical audiences., • Build trust through delivery: Establish credibility by delivering high-quality solutions, challenging assumptions constructively, and iterating quickly in response to feedback., • Develop broad technical capability: Work across the full data science lifecycle, continuously learning and applying new technologies. Sample project you will work on: • Real estate portfolio valuation: Work on developing advanced valuation models for real estate portfolios using internal and external data sources. This includes building predictive models with uncertainty estimates, improving model performance through rigorous evaluation, and creating data pipelines to support modelling and analytics. You’ll also prototype processes downstream of valuation models, such as optimization approaches, to enhance pricing strategies, collaborating with stakeholders to integrate these solutions into business processes., • Price optimization & forecasting for goods: Develop machine learning models to forecast demand and optimize pricing strategies for goods sold by a portfolio company. You’ll build predictive models that incorporate seasonality and competitive pricing data, while quantifying uncertainty and maintaining model explainability to support robust, transparent decision-making. Your Experience: We’re a small, high-impact team with a broad remit and diverse technical backgrounds. We don’t expect any single candidate to check every box below - if your experience overlaps strongly with what we do and you’re excited to apply your skills in a fast-moving, real-world environment, we’d love to hear from you. • Strong technical foundation: Degree in a STEM field (or equivalent experience) with hands-on expertise in a least two of applied statistics, machine learning, forecasting, NLP, or optimization. Experience with uncertainty quantification, model evaluation, and statistical inference is highly valued., • Python expertise: Skilled in building data pipelines and ML models using modern libraries across multiple domains:, • Data science stack: NumPy, pandas / polars, scikit-learn, XGBoost, LightGBM, • Deep learning: PyTorch, JAX, • Statistical programming: NumPyro, PyMC, • Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries and manage data pipelines for analytics and modelling workflows., • Model development & deployment: Familiarity with deploying models into production environments, collaborating with engineering teams, and using tools like MLflow or Weights & Biases for experiment tracking and reproducibility. Proof of work in cloud environments, especially MS Azure, is a plus., • Research mindset with business impact: Ability to translate complex problems into tractable modelling approaches. Strong problem-solving skills, intellectual curiosity, and a pragmatic approach to delivering solutions that drive measurable business value., • Collaboration and Communication: Demonstrated experience working in collaborative development environments using tools like Git and Azure DevOps. Comfortable contributing to shared codebases, participating in code reviews, and managing branches and CI/CD workflows. Proven ability to work cross-functionally with data scientists, engineers, and non-technical stakeholders to translate business needs into technical solutions and ensure successful delivery and adoption. About Us: We are a new, but growing team of AI specialists- data scientists, software engineers, and technology strategists - working to transform how an alternative investment firm with $65B in assets under management leverages technology and data. Our remit is broad, spanning investment operations, portfolio companies, and internal systems, giving the team the opportunity to shape the way the firm approaches analytics, automation, and decision-making. We operate with the creativity and agility of a small team, tackling diverse, high-impact challenges across the firm. While we are embedded within a global investment platform, we maintain a collaborative, innovative culture where our AI talent can experiment, learn, and have real influence on business outcomes.

Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 About the Company Our client is an extremely well know, digital marketplace focused on sustainable ecommerce. With over 35 million of active users globally, they’re redefining how people buy and sell second-hand fashion, aiming to make the future of style both circular and accessible. The company has offices in UK, EU and US and experienced significant growth especially around the US market and now operates as part of a leading global e-commerce group. They pride themselves on fostering inclusivity, creativity, and innovation and values that extend to both their community and their teams. The organisation champions diversity, equal opportunity, and flexible working. They offer a progressive benefits package designed to support wellbeing, learning, and work-life balance. The role of Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 Our Client is looking for an experienced MLOps Engineering Manager to lead and scale their MLOps function. You will be shaping how machine learning is developed, deployed, and scaled across the organisation. This is a genuinely high-impact role: you’ll lead a talented team of 6-8 engineers, set the strategic direction for ML infrastructure, and ensure the business continues to deliver reliable, scalable, and high-performing ML systems that drive real-world impact. Key Responsibilities for Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 • Manage and develop a team of 8 MLOps engineers, fostering collaboration, high performance, and personal growth., • Define and deliver the MLOps roadmap, aligning closely with the wider engineering and data strategy., • Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management., • Partner with data science, ML, and product teams to ensure infrastructure supports innovation and business needs., • Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient., • Take ownership of critical ML/infra incidents, ensuring swift resolution and continuous learning., • Deliver clear progress, risk, and priority updates to leadership in a concise and actionable way. Requirements for the role: • Proven experience leading an MLOps, ML Engineering, or Platform Engineering team., • Solid background in applied machine learning and a passion for platform disciplines., • Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management., • Knowledge of GPU computing for model training and serving., • Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI)., • Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed)., • Strong understanding of monitoring, logging, and observability for large-scale ML systems., • Experience in cost optimisation for compute/GPU workloads., • Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders., • Comfortable working in a fast-paced, collaborative environment with strategic and operational responsibilities., • Experience with vendor management and contract oversight., • Familiarity with tools such as Databricks, Tecton (or Feast), Seldon, or SageMaker. What can they offer you? • Private health and mental wellbeing coverage, including access to counselling and coaching., • Salary of up to £140,000+Bonus & Benefits, • 25 days annual leave, plus additional company-wide rest days and volunteer leave., • Flexible hybrid working, with the option to work abroad for limited periods., • Generous parental, IVF, and carer leave policies., • Learning and development budgets for conferences, mentorship, and skills growth., • Pension matching, life insurance, and recognition for service milestones. If you are interested in the Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 then drop over your CV and we will give you a call if we think you are a good fit!

At Quantifi, we’re building advanced risk, trading, and analytics software used by some of the world’s largest and most sophisticated financial institutions — from global investment banks to leading asset managers and commodities firms. Our development team sits at the heart of this mission, applying modern technologies to solve complex problems in financial derivatives, risk management, and pricing. We value clean architecture, performance, scalability, and developer excellence. If you're a highly skilled developer with a strong understanding of financial markets and you're excited to work on cutting-edge software with global impact, we'd love to hear from you. What you’ll do • Provide technical leadership and direction across multiple projects., • Design, architect, and implement high-performance, scalable solutions in C#/.NET., • Ensure architectural consistency and modern engineering best practices., • Collaborate cross-functionally with Sales, Product, Research, QA, and Professional Services., • Mentor and coach developers, continuously raising the technical bar., • Define and uphold code quality, testing, and deployment standards., • Help shape the long-term technical strategy and development roadmap., • Manage a team of developers and QA engineers. What you’ll bring • Bachelor’s degree in Computer Science or related STEM field (or equivalent experience)., • 10+ years of hands-on experience developing with C#/.NET in production environments., • Strong command of SQL and relational database design., • Deep understanding of software engineering principles and architecture patterns., • Excellent written and verbal communication skills., • Experience mentoring or managing developers., • Demonstrated ability to lead technical projects and align teams around shared goals., • Strong problem-solving mindset — proactive, pragmatic, and outcome-oriented., • Domain knowledge of financial derivatives and risk management concepts. Nice to have • Prior experience in FinTech, capital markets, or trading/risk platforms., • Familiarity with Git, Azure DevOps, and CI/CD pipelines., • Experience optimizing performance in large, complex codebases., • Exposure to distributed systems, multithreading, or high-frequency data processing. Compensation & Benefits • Competitive compensation, bonus, and benefits package., • Hybrid work model with flexible arrangements and work-life balance What we offer • Work on cutting-edge technology powering financial decision-making at global firms., • Collaborate in a flat, agile, and technically-driven environment., • Be part of key architectural decisions and have direct impact on product direction., • Mentor a talented engineering team and shape the next phase of growth., • Join a company that values technical excellence, innovation, and autonomy. Work authorization Sponsorship may be considered for exceptional candidates (case by case).

About Motilent At Motilent, we’re changing the way we see the gut. Our mission is to transform how digestive diseases are understood, measured, and treated - tackling some of the world’s most significant and complex health challenges. We’re a profitable, growing medtech company based in London, developing world-leading technology used by hospitals and life science organisations across the globe. As demand for our products and research collaborations continues to grow, we’re expanding our engineering team to support the next phase of our journey. Working at Motilent means joining a team at the intersection of clinical science, medical imaging, and advanced technology. You’ll collaborate with researchers, clinicians, and engineers to solve complex, interdisciplinary problems - building systems and tools that push the boundaries of what’s possible in medical imaging and analysis. We’re looking for engineers who want to do more than build software - those who want ownership, growth, and the chance to be part of a team that’s genuinely changing the way we see the gut. Role Overview As a Senior Platform and Services Software Engineer (title negotiable), you’ll play a key role in designing, building, and maintaining the platform and services that power Motilent’s medical imaging analysis and visualisation platform. You’ll work across microservices, event-driven services, and data pipelines, helping to define scalable, reliable solutions that meet the technical and regulatory demands of our medical products. This role is ideal for engineers who enjoy solving complex problems, collaborating across disciplines, and contributing to mission-critical software used in clinical and research environments. This role reports directly to the Technical Product Lead. Salary: £50,000 – £80,000 per annum, depending on experience and scope of responsibilities. Key Responsibilities • Design, implement, and maintain the platform and services supporting Motilent’s imaging analysis and visualisation platform., • Define and implement automated testing and verification processes for the platform and its services., • Contribute to the definition and evolution of Motilent’s platform architecture., • Design, implement, and maintain Continuous Integration and Continuous Delivery (CI/CD) pipelines., • Work in accordance with Motilent’s Quality Management System (QMS) to support the release of regulatory-cleared medical devices., • Participate actively in software design discussions and architecture decisions., • Collaborate closely with cross-functional teams including frontend, QA, and product leads to deliver reliable and maintainable systems. Required Skills • Bachelor’s degree (or equivalent) in Computer Science, Engineering, or a related technical discipline, and 5+ years of experience as a software engineer within a commercial environment., • Proficiency in at least one modern object-oriented programming language (preferably Java) and willingness to learn new technologies., • Proven experience developing microservices and deploying them on major cloud providers (AWS, Azure, or GCP)., • Working knowledge of containers and container orchestration (e.g. Docker, Kubernetes)., • Experience with non-SQL databases (e.g. DynamoDB, MongoDB)., • Strong understanding of RESTful APIs and service integration patterns., • Familiarity with OAuth 2.0 and OpenID Connect (OIDC)., • Understanding of Agile software development, CI/CD pipelines, and version control systems (Git)., • Knowledge of unit testing, software verification, and design patterns. Nice to Have • Advanced proficiency in Java and Gradle., • Experience developing microservices using Spring Boot within containerised deployments (Docker/Kubernetes)., • Proven experience designing and scaling event-driven and distributed architectures in production environments., • Proven experience deploying and managing production infrastructure using IaC, • Deep understanding of AWS services, infrastructure automation, and cloud security best practices., • Background in medical imaging, life sciences, or other regulated software environments (e.g. ISO 13485, IEC 62304)., • Familiarity with DevOps pipelines, observability, and automated deployment at scale., • Demonstrated ability to mentor junior engineers, lead code reviews, and shape architectural decisions., • Knowledge of DICOM / DICOMWeb standards or healthcare data integration workflows. Our Tech Stack • Java and Spring Boot, • AWS, • DynamoDB, • Docker, • ...and more Ways of Working • Operate within Motilent’s QMS, maintaining traceability and documentation as required by regulated software standards., • Collaborate closely with engineers, solution architects, and product teams to ensure alignment between development, quality, and regulatory goals., • Based remotely within the UK, with occasional travel to Motilent’s central London office for collaboration, onboarding, or training., • Maintain accurate and current records of training, skills, and experience in line with QMS requirements. Benefits & Employment Details • 25 days of annual leave + public holidays, • Health Insurance Scheme, • Options Scheme, • Pension Scheme, • Full-time, Permanent, • Laptop and hardware provided, • Hybrid work arrangement: Our office is located in Aldgate East (London, UK), but we provide the option for flexible remote work from home, • UK-based applicants only: This opportunity is open to individuals with pre-existing, unrestricted rights to work full-time in the UK. We are not able to offer visa sponsorship. Recruitment process • Click Apply on LinkedIn and upload your CV., • Technical assessment - engineering challenge, up to 4 hours (async)., • Technical interview - 60–90 minutes with our CTO and Solutions Architect., • Follow-up interview - 30-60 minutes with our Technical Product Lead., • Background checks and references., • Offer.

Welcome to the video first world From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content. Today, people want to watch and listen, not read — both at home and at work. If you’re reading this and nodding, check out our______. Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale—until now…. Meet Synthesia We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read______ and what______. In February 2024, G2 named us as the fastest growing company in the world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: As a Research Engineer you will join a team of 40+ Researchers and Engineers within the R&D Department working on cutting edge challenges in the Generative AI space, with a focus on creating highly realistic, emotional and life-like Synthetic humans through text-to-video. Within the team you’ll have the opportunity to work on the applied side of our research efforts and directly impact our solutions that are used worldwide by over 55,000 businesses. If you are an expert in post-training Diffusion models for generative AI, this is your chance. This is an opportunity to work for a company that is impacting businesses at a rapid pace across the globe. In this position, you’ll join our Post-Training Team that works on generative video creation. You will make it possible to apply our foundational models to production use cases. This includes projects such as: • Apply DPO (direct preference optimisation) to pre-trained models., • Adapt models to extend their capabilities, for instance, by changing conditioning inputs., • Build solutions for dubbing and evaluate the quality of lip-sync., • Implement post-training optimization techniques, such as quantization, pruning and distillation, to improve the efficiency of diffusion models used in avatar generation., • Analyze and address challenges related to model performance, ensuring high-quality output in avatar rendering., • Stay updated with the latest research and advancements in diffusion models, adversarial networks and post-training optimization methods. What we're looking for: • You have a background in Computer Vision / Computer Science and 3+ years of industry experience., • You have knowledge of recent advancements in post-training techniques. (for instance distillation, adversarial networks and efficient attention), • You have worked with generative models for images and/or videos (Diffusion/GAN) preferably in the avatar domain., • You are interested in doing research, trying new things and pushing the boundaries, going beyond what’s already known., • You have experience in using most modern frameworks for machine learning and deep learning., • You have great coding skills in Python and you care about writing clean code., • You have experience with SDLC tools (Git), preferably CI/CD Why join us? We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why, Our culture At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. ___ Serving 50,000+ customers (and 50% of the Fortune 500) We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read ___ and what ___. Proprietary AI technology Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about ___ AI Safety, Ethics and Security AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always. Learn more about ___. The good stuff... • Competitive compensation (salary + stock options + bonus), • Hybrid work setting with an office in London, Amsterdam, Zurich, Munich, or remote in Europe., • 25 days of annual leave + public holidays, • Great company culture with the option to join regular planning and socials at our hubs

AI Engineer [Analyst/Associate] About the job As an AI engineer on the AI team at Cerberus, you’ll work on high-impact projects that combine the pace of a startup with the reach of a global investment platform. Our team partners directly with internal investment desks as well as portfolio companies across industries to build and deploy machine learning systems that accelerate decision-making and unlock business value. You’ll design, implement and deploy production-grade AI and ML systems, ranging from NLP pipelines that extract insights from complex documents to integrating models with third-party services to streamline workflows. We’re looking for AI engineers who care about impact: people who want to see their models not just trained, but deployed, adopted, and driving measurable results. What You’ll Do • Design and deliver AI systems: Build and deploy machine learning models and data-driven products that directly impact investment decisions and portfolio company performance., • Drive measurable impact: Partner with internal desks and portfolio teams to integrate ML products into their existing workflows to drive high adoption and value., • Move fast and iterate: Work in an agile environment where experimentation, pragmatic engineering, and rapid iteration are key to creating business value., • Leverage modern tools and methods: Use contemporary ML frameworks, cloud platforms, and MLOps best practices to build scalable, reusable solutions., • Communicate insights clearly: Distill complex technical findings into concise, actionable narratives for technical and business audiences alike., • Keep learning and pushing boundaries: Expand your engineering toolkit across the full ML development lifecycle—from prototyping to deployment—and explore new architectures, tools, and approaches to solving complex, real-world problems. Sample Projects You’ll Work On • Generative AI for due diligence: Lead the rollout of our in-house GenAI platform across investment desks to automate and accelerate due diligence. You’ll configure and extend the system for desk-specific processes, run proof-of-value pilots, measure business impact, and collaborate closely with users to drive adoption and effectiveness., • Automated Deal Sourcing Workflows: Prototype experimental systems to automate early-stage deal sourcing. You’ll build integrations to extract signals from public and proprietary data sources, integrate with third-party APIs to enrich lead information, and integrate with in-house GenAI platform to create a structured data asset. This includes designing modular components for adaptability across investment strategies, running pilot deployments, and collaborating with users to refine workflows and measure sourcing efficiency. Your Experience We’re a small, high-impact team with a broad remit and diverse technical backgrounds. We don’t expect any single candidate to check every box below - if your experience overlaps strongly with what we do and you’re excited to apply your skills in a fast-moving, real-world environment, we’d love to hear from you. • Strong technical foundation: Degree in a STEM field (or equivalent experience) with hands-on expertise in applied statistics, machine learning, forecasting, NLP, computer vision, or optimization., • Python expertise: Skilled in writing production-grade code in Python (e.g., using type hints and understanding the limitations of the language) and in building data pipelines and ML models using modern libraries across multiple domains:, • Data science stack: NumPy, pandas / polars, scikit-learn, XGBoost, LightGBM, • Deep learning: PyTorch, JAX, • Statistical programming: NumPyro, PyMC, • Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries and manage data pipelines for analytics and modeling workflows., • ML Ops & deployment: Familiarity with deploying models into production using APIs or microservices, and applying ML Ops practices such as experiment tracking (e.g., MLflow, Weights & Biases), model versioning, and performance monitoring. Experience collaborating with engineering teams to ensure scalable and maintainable deployment., • Backend & service development: Experience building production-grade Python webservices (e.g., FastAPI, Flask), developing APIs, and integrating ML components into broader systems., • Software engineering practices: Comfortable with testing, code reviews, CI/CD pipelines, and version control (Git, Azure DevOps) beyond the very basics, ensuring reliable and maintainable codebases., • Infrastructure & cloud: Familiarity with cloud platforms (Azure preferred; AWS or GCP also valuable), containerization (Docker, Kubernetes), and infrastructure-as-code tools like Terraform., • Applied AI development: Experience working with LLM APIs (e.g., OpenAI) and building lightweight AI agents. Familiarity with orchestration tools like Temporal is a plus., • Collaboration and impact: Strong problem-solving ability, intellectual curiosity, and a pragmatic approach to delivering solutions that create measurable business value, while remaining statistically robust. About Us We are a new, but growing team of AI specialists - data scientists, software engineers, and technology strategists - working to transform how an alternative investment firm with $65B in assets under management leverages technology and data. Our remit is broad, spanning investment operations, portfolio companies, and internal systems, giving the team the opportunity to shape the way the firm approaches analytics, automation, and decision-making. We operate with the creativity and agility of a small team, tackling diverse, high-impact challenges across the firm. While we are embedded within a global investment platform, we maintain a collaborative, innovative culture where our AI talent can experiment, learn, and have real influence on business outcomes.

Contract Principal Consultant Engineer (Cloud & Engineering) Hybrid (3 days onsite per week, West London) Rate: £575 to £625 per day (Outside IR35) Contract Length: 3 months with option to extend • Are you an accomplished customer facing Solution Architect or Principal Consultant with a track record of leading complex, cloud-first transformations ?, • Do you thrive at the intersection of technical strategy, architectural design, and customer success? Our client, a fast-scaling cloud consultancy, partners with leading organisations to modernise their technology landscape through DevOps, platform engineering, automation, and software transformation. Following continued growth, they’re expanding their senior technical leadership team to shape and deliver large-scale customer engagements. As a Solution Architect / Principal Consultant, you will: • Define end-to-end technical architectures that solve complex business challenges., • Partner directly with C-level and engineering stakeholders to shape technical strategy and delivery direction., • Lead multi-disciplinary teams through architecture, design, and implementation, ensuring scalability, security, and performance., • Influence technology decisions across modern programming, infrastructure, and automation ecosystems., • Act as a trusted advisor: translating business objectives into technical solutions that deliver measurable impact. This is a strategic, customer-facing role requiring both depth of technical expertise and strong commercial awareness. You will have the autonomy to shape engagements, set standards, and influence the direction of both client and internal engineering teams. Technical Profile • 7+ years’ experience in software engineering or cloud architecture, with recent focus on solution design and delivery leadership., • Deep experience with AWS, GCP, or Azure, including infrastructure-as-code (Terraform, CloudFormation, Crossplane, Ansible)., • Proven ability to architect and deploy containerised systems (Docker, Kubernetes) at scale., • Proficiency in one or more modern languages — Go, Python, Java, Ruby, TypeScript., • Solid understanding of CI/CD, DevOps automation, and secure cloud operations., • Strong communication and stakeholder management skills — able to influence at both technical and executive levels. Please apply now for immediate consideration to the role.

Senior SDET – Test Automation A leading technology-driven organization is seeking a highly skilled Senior Software Development Engineer in Test (SDET) to drive automation excellence across embedded and connected device platforms. This role is ideal for a hands-on engineer passionate about building scalable test frameworks and elevating product quality through code. 🔧 Key Responsibilities • Develop and maintain automation frameworks for device software (Android, Linux, IoT), • Collaborate with engineering teams to define testable architectures and embed quality in development, • Design and execute test strategies for APIs (REST, IPC), WebUI, and OTA updates, • Integrate automated tests into CI/CD pipelines with quality gates, • Document standards and best practices for automation and quality engineering, • Support manual testing efforts and mentor peers in automation techniques 🧠 Technical Skills • Proficient in Python, Java, or similar for test automation, • Experienced with tools like Selenium, Appium, Espresso, • Familiar with CI/CD platforms such as Jenkins, GitHub Actions, Azure DevOps, • Strong testing background in device OS, APIs, web interfaces, and connected systems, • Bonus: Exposure to medical device software, video protocols, performance testing, and IEC 62304 standards 👤 Candidate Profile • Software engineering background with a focus on automation, • Self-driven and technically adept with a passion for product quality, • Proven ability to lead initiatives and build robust automated solutions, • Minimum 3 years’ experience in SDET, automation, or software development roles 🎓 Qualifications • Bachelor’s degree in Computer Science, Engineering, or equivalent, • 3+ years of relevant experience (or 2+ years with advanced degree), • Strong foundation in automation testing and technical leadership About Planet Pharma: Planet Pharma is an American parented Employment Business/Agency that provides global staffing services with its head-quarters in Chicago and our EMEA regional office located in Central London. We have invested significantly in creating a robust international platform that enables us to work compliantly in 30+ countries with a current network of 2500+ active contractors globally as well as a very strong permanent / direct hire recruitment offering. Our specialist knowledge and close relationships with our clients and the wider industry really makes us unique in our field. Just recently we were recognised by FORBES as the 17th best professional staffing firm, and have won multiple awards from industry accredited bodies for our commitment to excellence and service delivery. We have extensive functional expertise including: Regulatory Affairs, Pharmacovigilance, QA, QC, Submissions experts, Clinical development, Quality, Biostatistics, and Medical Affairs / Writing. We are an equal opportunities Recruitment Business and Agency. We welcome applications from all suitably qualified candidates regardless of their race, sex, disability, religion/belief, sexual orientation or age.

📍 London 📅 Fulltime (could be P/T initially) 💵Package: £130,000+ Base Salary: £70,000 - £100,000 + Equity Join us as Senior Full Stack Developer in an AI-powered Fintech/Edtech platform and see your work really come to life as you build software for a leading fintech business driving innovation in its field. You will be instrumental in uplifting thousands of people as the systems you create facilitate life changing real world opportunities. This role provides the perfect blend of technical challenges and opportunities to make a meaningful impact. It offers excellent career potential for the right person and is one of the key roles in the team. You will be joining at a pivotal time for the business. Our proposed package aligns you to the success of the business, with equity options and the realistic prospect of tripling the value of those options over the next 12-months. You will participate in all areas of engineering and development, writing high-quality code and collaborating with the wider team to ensure our digital systems provide an exceptional experience for our customers. Your technical insights and contributions will be highly valued and will influence key business decisions. About MyPocketSkill and our mission MyPocketSkill empowers Gen Z's to become more financially capable by matching 13-25-year-olds with paid opportunities and enabling them to save towards their goals. We help teens to Earn, Save and Learn about money. We are scaling our digital platform and to aid our next phase of product development and growth, we are looking to bring an additional senior hire to grow our engineering function and deliver on an ambitious tech road map. Our Culture We are a highly committed team and have a supportive, growth focussed working culture. We care deeply about our work having a positive impact on our customers, colleagues, communities and the environment. We promote creativity and adventure in everything we do. You can read more about our culture and values here. Key Information • Location: Hybrid (Currently min 2 days per week in London Office), • Hours: 40hrs per week (Normally 9:00-18:00 GMT/BST), • Application Deadline: Assessing candidates on an ongoing basis Your mission Develop scalable, stable and efficient digital systems that enhance our platform. Write high-quality code for tech products that improve customer experience, embed AI-enhancements, reduce customer service issues and reduce costs. Be detail-conscious, able to support technical decision-making to keep progress on track. Your objectives Working with us means having direct involvement in delivering our technical road map and will be working directly on several key product enhancements. You’ll work with Python/Django, Javascript and AWS. Our platform is also increasingly AI-powered, so familiarity with implementing AI solutions (RAG etc) is an advantage. You’ll be working on a project where everything is hosted in AWS and we have a lightweight automated deployment process. You’ll work alongside a very small team, meaning you’ll have loads of responsibility and will make a huge impact on our architecture processes. Your responsibilities As a company we focus on objectives and results with individuals driving the decisions on the best ways to achieve them. We have included this list of responsibilities to give you an idea of the starting point for this position; the exact responsibilities will develop over time. • Backend Development: Confident development and engineering of scalable, cloud-based solutions accessible via web and mobile apps., • Scalability and Connectivity: building systems designed to handle sudden peaks in concurrent users trying to read and write data simultaneously; and to accommodate for poor network connectivity., • Coding & Testing: Write high-quality, performant, well organised, maintainable code with a focus on QA and testing, as well as code review of others work. Share and adapt reusable patterns and components, • Cloud Technologies: familiarity in working with cloud-based technologies., • Code Management & DevOps: Support the establishment and maintenance of best practices for code development, version control and deployment, contributing to CI/CD pipelines and other DevOps processes., • Product Quality: Contribute to ensuring the overall quality, accessibility, stability, and security of digital systems and products, in alignment with both functional and non-functional requirements., • Communication & Collaboration: Maintain transparent communication about project and task statuses, milestones and potential risks, collaborating effectively with other developers and departments., • Performance Tracking: Assist in implementation and management of performance monitoring and issue alerting systems to help optimise user experience. Your experience (ideally): An absolute must is hands-on experience in leading or as a capable number 2 in a technical team startup/scaleup with a similar tech stack. • Computer Science/Related Degree as well as 5+ years of back-end/ full stack development experience, • Experience in participating in the design and development of scalable software products, • Experience in contributing to system design and assisting in technical decisions on projects / features, • Experience with SQL databases with the ability to lead on database design and optimisation, • Knowledge of front-end frameworks, notably Vue and/or ReactJS., • Working understanding of data capture and performance tracking, a willingness to contribute to design and UX decisions., • AI familiarity with working on Gen AI projects, including RAG and API integration., • Ability to work within project timelines, proactively communicate any delays and contribute to task re-prioritisation to keep things on track, • Experience in developing websites, web applications and mobile apps, with a focus on user-centric design, • Familiarity with DevOps practices, CI/CD pipelines and QA processes Application process We are looking for team members that are interested in a long-term career with MyPocketSkill and want to learn and grow with us. We treat all employees and applicants fairly and equally regardless of their gender, sexual orientation, marital status, race, nationality, religion, age or disability status. We will request references from your past employers to support anything you tell us in this application or any interviews before offering you a position. We will require evidence of your qualifications and right to work in the UK before conducting interviews. TO APPLY To apply, send your CV and cover letter/email to Careers. We do not wish to receive any approaches from recruitment agencies at this time.

We’re looking for an experienced Azure GenAI Engineer to build and scale intelligent, agent-based applications in a cutting-edge cloud environment. You’ll work hands-on with Azure’s AI stack, modern frameworks, and production-ready pipelines to deliver real business impact. Key Skills (Must-Have): • Agent-based GenAI app development using Python, • Prompt engineering and FastAPI, • AI/ML model development, • RAG (Retrieval-Augmented Generation) with Vector Databases, • Strong understanding of Azure Cloud Services, Azure AI Search, and ADI (text, table & image processing), • Proficiency with LangGraph and LangChain frameworksNice to Have:, • Experience with SQL Server, Docker, CI/CD pipelines, SonarQube, PyTest, • Monitoring and optimisation of production AI apps

C# Developer - Hybrid in Kingston upon Thames - Inside IR35 - 12 months We are seeking an experienced SC Cleared C# Developer to join a leading international organisation on a long-term programme of work. This role, based in Kingston upon Thames, offers an opportunity to contribute to the design, development, and optimisation of high-performance enterprise applications. As part of a collaborative Agile engineering team, you will be responsible for delivering robust, scalable, and secure software solutions throughout the full software development lifecycle - from requirements analysis and design through to development, testing, deployment, and maintenance. You'll be expected to bring deep technical expertise in C#, .NET, and modern development practices, along with strong communication skills and a structured, delivery-focused mindset. Key Responsibilities: • Develop, and maintain applications using C#, .NET 6/7, and ASP.NET Core., • Contribute to all phases of the software development lifecycle, including planning, design, coding, testing, deployment, and ongoing support., • Collaborate with product owners, business analysts, and QA teams to translate business requirements into technical solutions., • Implement and manage work items, sprints, and issue tracking using Jira., • Develop and consume RESTful APIs and integrate with external systems and databases., • Write clean, efficient, and maintainable code that adheres to established coding standards and design principles (SOLID, OOP). What You Will Ideally Bring: • 5+ years of professional experience in software development using C# and .NET (Core or Framework)., • Strong understanding of the software development lifecycle (SDLC) and Agile methodologies., • Proficiency with Jira for sprint planning, task tracking, and project management., • Experience with ASP.NET Core, Entity Framework, and SQL Server., • Familiarity with Azure DevOps, CI/CD pipelines, and Git version control., • Experience building and maintaining REST APIs and web services., • Strong problem-solving, debugging, and analytical skills., • Excellent communication and teamwork abilities within cross-functional Agile teams., • Exposure to JavaScript frameworks (React, Angular, or Vue) is beneficial., • SC Cleared Contract Details: • Duration: 12 months (with potential extension), • Day Rate: Up to £500 per day (Inside IR35), • Location: Hybrid - Kingston upon Thames, • Start Date: ASAP

Company Description At Affinity Labs, we’re building the future of company creation, a full-stack AI venture studio that partners with content creators to co-found authentic, scalable software businesses. By combining AI-native development with creator-led distribution, we're pioneering a new model of monetization by to rapidly build, launch, and scale digital ventures aligned with creators and their audiences. We aim to launch ventures 10x faster and cheaper than traditional methods using our internal "AI factory": a multi-agent architecture, reusable component libraries, and a growing knowledge graph that learns from every product we ship. Role Description This is a full-time on-site role for a Founding Engineer, located in the London Area, United Kingdom. The Founding Engineer will be responsible for leading the technical development of new software products, collaborating closely with content creators and their management teams, and implementing AI-driven solutions. The role also involves hands-on coding, system architecture design, and ensuring scalability and reliability of the software. The Founding Engineer will work in a fast-paced, dynamic environment and contribute to the overall strategy and growth of digital ventures. Responsibilities • Code with AI-first speed. Use AI to turn product specs into production-ready React, Supabase, and serverless back-ends in days, not weeks., • Architect for scale (and scrappiness). Apply clean, hexagonal patterns so v1 can evolve without rewrites., • Prototype → pilot → product. Move fast through validation loops: hack the MVP, shadow users, ship the fix, repeat., • Wear many helmets. One sprint you’re spinning up CI/CD; the next you’re tweaking prompts or jumping on a creator livestream to debug user feedback in real time., • Set the engineering culture. Establish the rituals, docs, and testing standards that future hires will learn from you. Requirements • Full stack developer, • AI-native developer that has used or experimented with the latest AI development tooling, • Strong coding and software development skills in languages and with tools such as ReactNative / Flutter / Next.js, Supabase / Postgres, Python, • Experience in system architecture design and implementation, • Knowledge of AI technologies and machine learning algorithms. You track the latest AI tools, play with new MCPs, and deploy multi-agent systems, • Experience in startup environments and rapid product development, • Bachelor's or Master's degree in Computer Science, Engineering, or related field, • Action oriented with strong bias toward rapid execution and experimentation. Nice to Have's • Prompt-engineering or fine-tuning experience, • Familiarity with Stripe, Discord, TikTok or other creator-economy tools, • Side hustle, hackathon wins, or open-source contributions, • Shipping Experience: You’ve shipped AI side projects, or research, that prove you can learn fast and finish. Why this role is a-career launchpad • Own the code & the company. You step in as Founding Engineer #1, receiving a meaningful equity stake from day one., • Ship faster with AI at your side. We’ve baked AI tools into our workflow so you spend time solving problems, not yak-shaving boilerplate., • Ride a rocket, not a conveyor belt. Affinity Labs is a venture studio that partners with top content creators to turn influence into scalable software. Think “Prime for software”, • Grow like crazy. You’ll architect, build, and launch multiple products each year. The shipping reps you’ll get in 12 months here would take 3 - 4 years in a typical startup., • Learn from builders, not bosses. You’ll work shoulder-to-shoulder with a founding team that has scaled VC-backed startups, closed multi-million-pound term sheets, and shipped products used by millions.

The Team OpenBet is a global leader in betting and gaming entertainment, trusted by over 200 partners to create memorable winning moments for millions of players worldwide. From processing bets during iconic events like the FIFA World Cup and Super Bowl to pioneering next-gen products like BetBuilder, we continuously redefine the player experience with high-quality content, cutting-edge technology, and advanced player protection tools. For over 25 years, our unbeatable platform has powered the most recognizable betting brands, ensuring peak performance with 100% uptime, unmatched scale, and speed. With 85 licenses, 20 World Lottery Association operators on our customer roster, and a team of 1,200+ experts across 14 countries, we remain at the heart of the industry. The Goal We’re looking for a Data Engineer / AI Platform Specialist to build and optimize the infrastructure powering our AI ambitions. In this hands-on role, you’ll design scalable data pipelines, manage cloud services, and implement infrastructure-as-code to enable secure, efficient, and high-performance AI workflows. Your work will ensure data is not just available—but ready for AI at scale. You’ll collaborate closely with ML engineers, software developers, and stakeholders to unlock siloed data, improve compliance, and drive platform reliability. This is your chance to shape the technical foundation behind real-world AI impact in a high-growth, high-regulation industry. The Player You bring deep expertise in cloud infrastructure (AWS, Azure, or GCP), data engineering, CI/CD, and IaC tools like Terraform. You thrive in cross-functional environments, balance performance with governance, and know how to turn complex systems into seamless pipelines. If you're ready to empower enterprise AI with next-gen infrastructure — we want to hear from you. What we can offer YOU Why would you enjoy working with us? • Forward-thinking AI-driven team revolutionizing the sports betting industry., • Build cutting-edge infrastructure and processes that set the stage for groundbreaking AI solutions., • Competitive benefits, including flexible working options and tangible career growth opportunities., • Access to advanced tools, systems, and training to enhance your expertise in cloud computing, automation, and AI infrastructure., • Collaborate with a world-class group of professionals innovating at the intersection of data and AI., • Opportunities to participate in global conferences, knowledge-sharing sessions, and industry events., • A culture that emphasizes intellectual curiosity and rewards exploration of emerging technologies like quantum computing, blockchain, and IoT. And if that's not enough; you'll enjoy a dynamic workplace where your contributions fuel the next generation of AI-powered betting experiences. Open to hiring in London, Athens OR Lviv At OpenBet, we celebrate diversity and believe in creating an inclusive environment where every voice is valued and respected. We're committed to building a team that reflects the rich tapestry of humanity, embracing individuals from all walks of life, backgrounds, and identities. Join us in shaping the future of iGaming, where diversity isn't just celebrated—it's celebrated.

Senior Full Stack Engineer Location: London (Hybrid – 2 days onsite) Package: £120,000 Industry: Series A DeepTech Start-Up About the Company Wedo.tech has partnered with a rapidly scaling Series A DeepTech start-up that’s quickly earning a reputation for its AI-driven product, trusted by global customers. Their technology sits at the intersection of distributed systems, AI/ML, and unstructured data helping organisations make sense of complex, multilingual information to deliver insights people can actually trust. Our client is pushing for Series B early next year and has intent to triple headcount over the next 12 months. If you’re looking for a role where you get autonomy, a chance to master your craft with deep purpose then read on. The Opportunity We’re looking for two Senior Full Stack Engineers who loves to coach, lead, mentor, and take ownership of architectural decisions, and love getting hands-on with POCs, innovation, and clean, maintainable code. You’re the type of engineer who comes in, observes what’s working, what’s not, writes code, show’s a demo and helps take a business on a journey. You’ll lean into your years of hard earnt experience knowing what great looks like, helping them achieve their next phase of growth. As a Senior Full Stack Engineer you will have the following experience: • Designed and build scalable microservices, contributing to a growing distributed architecture., • You can write code in at least 2 languages, preferably Java, C#, Python, Go, Ruby or Rust., • Good React UI Development, however, probably consider yourself a stronger backend engineer., • Used to working with Product and Design teams to turn complex requirements into elegant technical solutions., • Participate in architectural discussions and shape engineering best practices., • Troubleshoot and resolve production issues across services and systems., • Contribute to CI/CD pipelines, observability, and automation initiatives. Interview Process • 1st stage – Introductory chat with the Hiring Manager to explore your experience and the team., • 2nd stage – Technical pairing exercise with Staff Engineer, • 3rd stage – Final conversation with the COO and Founder. Benefits: • 10% Bonus, • Equity, • Unlimited holiday, • Private Health, • Life Insurance, • 1k learning allowance To apply: Send your CV to

Senior DevOps Engineer Hybrid – 3 Days Onsite Salary: up to £85,000 This established company is looking to hire a DevOps professional with a passion for automation and infrastructure-as-code. The Opportunity You’ll play a key part in: • Designing and owning CI/CD pipelines using GitHub Actions, • Automating infrastructure using Terraform, • Managing deployment flows from development through to production, • Collaborating with technical teams to ensure smooth platform rollouts You’ll Bring • Proven experience deploying code to production in a cloud or data platform environment, • Strong hands-on knowledge of:, • GitHub / GitHub Actions, • Terraform, • Solid understanding of CI/CD pipelines and infrastructure-as-code, • Ability to work across dev, test, and production environments, • Exposure to BI tools such as Power BI

Data Science & GenAI Engineer (Senior and Lead Levels) — AI Agents, Structured Insights & Detection We’re pioneering Agentic AI — systems that don’t just respond, but reason, act, and adapt autonomously in complex workflows. This is about crafting AI Agent Experiences — designing agents that collaborate seamlessly with humans, learn from context, and make every customer interaction faster, smarter, and more empathetic. You’ll own the technical vision and turn requirements into a live, reliable product used by brands like Grubhub, Booking.com, Dropbox, Uber, Careem, and Fubo. You’ll collaborate directly with engineers, other tech leads, directors, and the CTO to evolve ambitious prototypes into a rock‑solid, scalable platform. What you’ll actually do 50% Build — design & ship • Agentic AI for CX: Real‑time assistants that listen to calls/chats, retrieve from customer KBs, and draft responses with human‑in‑the‑loop controls., • Structured extraction: Schema‑driven pipelines over unstructured text (and other modalities) using retrieval, tool‑use, and robust LLM prompting., • Hybrid anomaly detection: Blend classical time‑series methods (e.g., decomposition, change‑point, forecasting) with LLM‑aware, contextful detectors for seasonality, spikes, step‑changes, and drift., • Novelty discovery: Embedding‑based clustering and drift, topic surfacing, LLM summarization of emerging themes with deduplication and evidence links., • Own reliability, latency, and cost. Design online/offline eval harnesses, canaries, and SLAs; operate GPUs/accelerators where needed., • Stand up and harden RAG pipelines (indexing, retrieval policies, grounding, guardrails) and agent frameworks., • Take basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost tuning., • Pair with back‑end & front‑end to wire extractors/detectors and agents into ticketing, voice, and analytics stacks (APIs, webhooks, real‑time streams)., • Gather requirements from CX and product leads, demo new capabilities to execs & customers, and document impact with precision/recall, alert quality, latency, and cost metrics. What makes you a great fit • Startup hacker mindset: You self‑start from zero, respect no silos, and carry work from prototype to production. 🛠️, • AI‑native dev tools are your daily drivers: Cursor, v0, Claude Code (or similar)., • 7–10 years building production ML/back‑end systems; 2+ years leading while coding., • Expert Python; strong back‑end chops (e.g., FastAPI, gRPC, Postgres, pub/sub/streams)., • Agents & RAG: Fluency with at least one agent framework (ADK preferred). Proven track record shipping AI agents and building RAG pipelines., • LLM + DS depth: Prompting/tooling, retrieval design, LLM evals; hands‑on with time‑series analysis (forecasting, change‑point, drift)., • Cloud & ops: Basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost control., • Communication: You explain results clearly, align stakeholders, and write crisp docs. Bonus points • DevOps wizardry; GPU/accelerator experience., • Multimodal pipelines (text + voice + screenshots)., • Prior experience in contact center/CX analytics or novelty/anomaly systems., • Founder or founding engineer experience

AMLZ Recruiting is the executive search brand of AMLZ GmbH, headquartered in Wiesbaden, Germany. We specialize in placing exceptional professionals and executives with leading companies worldwide. Backed by a global network and deep industry expertise, we connect top talent with innovative organizations across a wide range of sectors. Our client is a globally recognized technology company near Shanghai, China, known for turning advanced digital capabilities into reliable, production-grade solutions across multiple industries. Cross-functional teams in research, data, and product work together on modern R&D programs and scalable platforms to translate complex data into tangible business impact. This role starts in March 2026 with a remote-first setup. The first three months will be remote to align objectives, workflows, and milestones. After that, any on-site engagement in China may be arranged by mutual agreement, based on project needs - for example, workshops, pilot activities, or factory trials. Compensation is competitive, and additional allowances apply for any agreed on-site participation. Key Responsibilities • Conduct research and hands-on development in data mining, machine learning, and applied modeling., • Own the model lifecycle: data preparation, training, evaluation, deployment, and monitoring., • Work with data engineering to ensure data quality, reliability, and efficient pipelines., • Deliver predictive, recommendation, or optimization models aligned with business goals., • Contribute to team knowledge sharing and uphold high standards in Python, using TensorFlow or PyTorch in production contexts. Your Profile • Ideally holding a Ph.D. in Computer Science, Electrical/Electronic Engineering, Applied Mathematics, AI/Data Science, IT (or related field), or equivalent industry experience., • Ideally 3+ years of relevant experience in AI/ML, computer vision, recommendation/optimization, or advanced analytics (industry or research)., • Proficient in Python; familiarity with data pipelines (e.g., Spark) and modern development practices., • Foundations in mathematics and algorithm design (probability, statistics, optimization, linear algebra)., • Experience moving models to production (MLOps, CI/CD, monitoring) or exposure to computer vision/NLP/recommenders is a plus., • English is the working language; additional languages are a plus. We Offer • Very competitive salary package and comprehensive benefits., • Remote-first working model with optional short on-site exchanges by mutual agreement., • Housing and family allowances available when on-site work is arranged., • Access to cutting-edge tools and real-world, high-impact applications., • Dynamic and innovative environment with clear growth opportunities. Application Please prepare the following: • Curriculum Vitae (CV)/Resume, • Ph.D., Diploma, Master’s, Bachelor’s certificates or official transcripts (if available), • Research portfolio (publications, patents) and/or portfolio of past projects (for industry professionals), • Proof of work experience (certificate of employment, if available) To support the hiring process, you may also include: • Professional references and letters of recommendation, • Additional certifications (if relevant) Your expertise will significantly contribute to delivering production-grade AI systems-spanning predictive and recommendation models, optimization, and multimodal capabilities-that drive measurable business impact at scale. AMLZ Recruiting is committed to your professional journey and personal satisfaction. For inquiries or additional information, please reach out to Ms. Katharina Weber at By submitting your application, you consent to AMLZ GmbH sharing your personal data and application materials with relevant third-party organizations solely for employment and job placement purposes.

We are a small London startup with the ambition to change education with ML-powered tutoring. Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone. We are building a fundamental model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Senior ML Engineer with a proven track record of delivering ML models to production. What you will do 🚀 • Build fundamental models for education - solving the ultimate learning task of predicting student knowledge and optimal ‘next task’, • Work with a vast amount of unique data - we have data from over 1M language tests, including text and voice data, • Create brand new dictionaries, applicable to any context - right now it’s the English language, but in the future it could be other languages or even subjects such as Mathematics, • Analyse large amounts of diverse data - including data from every movie, book, and song, • Work in a cross-functional team and communicate with backend engineers and product managers, • Create new types of tests for language learners to gather more test results, analyse them, and build prediction models based on these results, • Optimise and fine-tune machine learning models for performance, scalability, and accuracy Essential skills 🙏 • Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production, • Experience working with entire ML systems and data pipelines in large-scale production systems, • Experience building automated data pipelines, • Strong understanding of CI/CD pipelines and automation tools for efficient model deployment and monitoring, • Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers, • Great knowledge of NLP algorithms, • Expertise in Python and PyTorch Desirable Skills 👌 • Can speak, or learning to speak, more than one language, • Experience with reinforcement learning, • Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.), • Experience using voice data in ML models What we can offer ✨ • A real-deal startup adventure: you'll be hopping on a major project while it's still in the works!, • Freedom to suggest, implement, and test ideas, • Unlimited learning & development budget (courses, conferences, books etc.), • Lunch provided by the company every day, • Regular social events, • 25 days annual leave + public holidays, • Work from our London office Interview Process 🧪 • 3 interviews, which will be mixture of technical and non-technical tasks, • If all the interviews are successful, we’d like to invite you to 2 or 3 paid trial days, or to complete short project remotely with us, to learn what it’s like to work at Glite

Job Summary: We are seeking a skilled and proactive Solace Messaging Administrator to join our Messaging team. You will be responsible for managing and supporting our enterprise messaging infrastructure built on Solace PubSub+, ensuring high availability, optimal performance, and reliability across production and non-production environments. This includes working on incident response, capacity planning, WAN optimization, and system observability using tools like Prometheus and Grafana. Key Responsibilities: • Administer and maintain Solace PubSub+ appliances and software brokers across environments (on-prem and cloud)., • Provide production support for messaging-related incidents, including root cause analysis and resolution., • Monitor system performance and health using Prometheus and Grafana; proactively identify and address anomalies., • Configure and optimize Solace across WAN environments, ensuring low-latency, secure, and reliable messaging., • Collaborate with development and application support teams to troubleshoot message flow issues and integration problems., • Perform capacity planning, scaling, and tuning of Solace infrastructure to meet current and future demand., • Automate routine maintenance tasks and support continuous improvement of operational processes., • Implement and maintain monitoring alerts, dashboards, and metrics to ensure visibility into the messaging layer., • Ensure compliance with security policies and participate in audits and vulnerability remediation., • Maintain accurate documentation, including topology diagrams, runbooks, and configuration baselines., • Support proprietary messaging APIs using C++, Java, Python, and C# programming languages., • Provide support for proprietary cache and gateways that integrate applications with the messaging service. Required Skills & Qualifications: • 3+ years of experience administering Solace PubSub+ messaging systems., • Strong background in production support, preferably in a 24x7 enterprise environment., • Experience working with distributed systems over WAN, with an understanding of networking, latency, and failover strategies., • Solid experience with Prometheus and Grafana for system monitoring and alerting., • Proficiency in troubleshooting message delivery, persistence, and topic routing., • Experience with capacity management, performance tuning, and system scaling., • Familiarity with Linux/Unix systems and scripting (Bash, Python, etc.)., • Strong analytical and problem-solving skills, with attention to detail., • Excellent communication and collaboration skills. Nice to Have: • Experience with containerized environments (Docker/Kubernetes)., • Exposure to other messaging platforms (Kafka, RabbitMQ, MQ)., • Understanding of DevOps tools and CI/CD pipelines., • Knowledge of cloud environments (AWS, Azure, GCP) and cloud-native Solace deployments. Why Join Us? • Join a multi-discipline team, delivering advanced Messaging APIs, developing tools, administering , supporting low latency, high throughput messaging system for prices, orders, trades, and mission critical applications., • Exciting opportunity to work with a wide array of technologies., • Chance to further develop your programming skills while administering and supporting one of the most advanced messaging systems available in the market.

Senior Data Scientist (Full-Stack ML & LLMs) Location: Hybrid - Remote / London (UK) Reporting to: Technical Lead (Senior Data Scientist) About Us We are a high-growth, venture-backed health tech startup on a mission to transform how healthcare assessments are understood and utilized. Founded by health economics academics and backed by leading investors, we are building a novel, data-driven platform that will become the definitive source of intelligence for Health Technology Assessment (HTA) and Market Access (MA) reports globally. This is a rare opportunity to get in on the ground floor and play a pivotal role in shaping the core technology and data foundation of our company. The Role: Build, Deploy, and Innovate We are looking for a Senior Data Scientist who is as passionate about building robust, scalable data systems as they are about innovating with cutting-edge machine learning. You will be the second data science hire, working hand-in-hand with our Technical Lead to architect and execute the data strategy that powers our entire product. Your primary mission will be to design, build, and own the end-to-end ML pipelines that ingest, structure, and enrich our HTA/MA database. This involves everything from scraping complex web data to experimenting with and deploying Large Language Models (LLMs) for information extraction, all while building the frameworks for human-in-the-loop validation. You will have a direct and visible impact on our product and our business. Key Responsibilities • End-to-End ML Pipeline Ownership: Take charge of the entire ML lifecycle, from conceptualising impactful applications to deployment and monitoring., • Data Ingestion & Engineering: Design, build, and maintain robust data ingestion pipelines, including custom web-scraping of agency websites (HTML, PDF) and leveraging APIs where available. Restructure and optimise our PostgreSQL database to support our evolving data schema., • LLM Experimentation & Deployment: Rapidly experiment with and implement LLM-based solutions (from prompt engineering with state-of-the-art APIs to fine-tuning open-source models) to extract, consolidate, and categorise key variables from complex text., • Human-in-the-Loop System Design: Design and implement the frameworks and tools that facilitate efficient validation and input from our in-house clinical experts, turning their domain knowledge into training data and model improvements., • Model Evaluation & "LLM-as-a-Judge": Develop rigorous, systematic evaluation frameworks to interrogate model performance, including the innovative use of LLMs to assist in prioritisation and automation of manual tasks., • Cloud Deployment & MLOps: Deploy models as scalable API endpoints on AWS. Evolve our current CI/CD (GitHub Actions) and MLOps practices to ensure reliability and reproducibility as we scale., • Collaboration & Influence: Work closely with the founders and non-technical team members to communicate complex ideas, secure buy-in for technical direction, and align on product roadmap priorities. Mentor and guide future junior hires. Who You Are We are looking for a pragmatic builder who thrives in ambiguity and is motivated by creating tangible value from unstructured data. Must-Have Experience & Skills: • Proven experience as a Senior or Full-Stack Data Scientist, with a track record of taking ML projects from conception to deployment in a cloud environment (AWS preferred)., • Strong proficiency in Python for data science (Pandas, NumPy, Scikit-learn) and SQL (PostgreSQL is a plus)., • Hands-on experience with the full data lifecycle: data ingestion (e.g., web-scraping with BeautifulSoup, Scrapy, or Selenium), data wrangling, model development, and evaluation., • Demonstrable experience experimenting with and deploying applications using Large Language Models (e.g., via OpenAI, Anthropic, or open-source models via Hugging Face)., • Experience building and maintaining data pipelines and a comfort with software engineering best practices (version control, CI/CD, testing)., • Exceptional communication skills, with the ability to explain technical concepts to non-technical stakeholders and drive alignment., • A proactive, curious, and resilient mindset. You see ambiguous problems as opportunities. Nice-to-Have Experience: • Experience designing or working with Human-in-the-Loop systems for data annotation or model validation., • Familiarity with MLOps tools and practices (Docker, Kubernetes, MLflow, etc.)., • Previous experience in a startup or high-growth environment., • A background in healthcare, life sciences, or a related domain, but this is not required. What We Offer • The opportunity to be a foundational technical pillar in a high-potential, venture-backed startup., • Significant autonomy and ownership to shape our technology stack, data strategy, and product direction., • Competitive salary and EMI scheme., • Collaborative and supportive environment with direct access to founders and domain experts., • Budget for learning, development, and conference attendance. How to Apply If you are a builder who is excited by the challenge of structuring the world's HTA data and pioneering the use of LLMs in healthcare, we would love to hear from you. Please send your CV and a brief note explaining what motivates you about this role to Finlay McIntyre at Application Deadline: November 7th, 2026

Front End Engineer / Developer (TypeScript React Native AI) London / WFH to £80k 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. What's in it for you: • Salary to £80k, • Bonus, • Pension, • Healthcare, • Work with the latest cutting-edge AI technologies, • Excellent training and career development opportunities Your role: As a Front End Engineer 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 Apply now to find out more about this Front End Engineer / Developer (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.

As we architect the next wave of data solutions in the AdTech and MarTech sectors, we're on the lookout for a Senior Data Engineer—a maestro in data architecture and pipeline design. If you're a seasoned expert, eager to lead, innovate, and craft state-of-the-art data solutions, we're keen to embark on this journey with you. Job Responsibilities • Develop, test, and maintain data architectures in Snowflake using Python, SQL, and modern data orchestration frameworks to deliver on business requirements., • Uphold data quality standards, implementing tools and frameworks to detect and rectify data inconsistencies and inaccuracies., • Optimize pipelines and data structures to ensure peak performance., • Identify resolve bottlenecks by refactoring code and/or modifying flows., • Drive initiatives for new data collection while refining existing data sources., • Ensuring the highest standards of data integrity, accuracy, and reliability., • Troubleshoot existing ETL pipelines and work with partners to resolve them in a timely manner., • Develop and update technical documentation., • Manage conflicting priorities and multiple projects concurrently. Desired Skills & Qualifications • Bachelor’s degree in Computer Science, Information Systems, or a related discipline. A Master's degree or higher is a distinct advantage., • 5+ years of intensive experience as a Data Engineer or in a similar role, with a demonstrable track record of leading large-scale projects., • Familiarity with Airflow, Dagster or similar data orchestration frameworks, • Strong understanding of RESTful APIs as well as experience working with both synchronous and asynchronous endpoints, • Experience with Snowflake or Redshift with a strong understanding of SQL., • Proficient in Python and Pandas, • Experience working with JSON and XML, • Strong understanding of cloud computing concepts and services (AWS preferably), • Experience with Git or equivalent version control systems and CI/CD pipelines., • Familiarity with dbt a plus, • Highly analytical with strong problem-solving skills: ability to apply solutions forward, not just completing the task at hand., • Ability to investigate, analyze and solve problems as well as clearly communicate results., • Strong attention to detail, well organized, and can prioritize tasks under pressure., • Must be a team player but also can work independently., • Experience working in an agile product development environment., • Is positive and motivating in a team environment. Acxiom is a customer intelligence company that provides data-driven solutions to enable the world’s best marketers to better understand their customers to create better experiences and business growth. A leader in customer data management, identity, and the ethical use of data for more than 50 years, Acxiom now helps thousands of clients and partners around the globe work together to create millions of better customer experiences, every day. Acxiom is a registered trademark of Acxiom LLC and is part of The Interpublic Group of Companies, Inc. (IPG). For more information, visit Acxiom.com.

Senior Software Engineer – Fullstack / Backend Leaning (TypeScript, Node.js, React, AWS) Full-time | London (Hybrid) Our client is a well-funded, high-growth FinTech SaaS business redefining how private equity operates. The platform empowers investment professionals through automation and intelligent collaboration, replacing the manual, fragmented processes that have long dominated the industry. Founded by seasoned private equity and technology experts, the company is entering an exciting scale-up phase with proven product-market fit, strong industry adoption, and a clear multi-product roadmap. We’re seeking an experienced Senior Software Engineer who thrives in dynamic, scaling environments and enjoys building robust, enterprise-grade SaaS platforms. You’ll help shape architecture, deliver new features end-to-end, and contribute to technical strategy in a lean, high-calibre engineering team. What You’ll Do • Design and build scalable backend and fullstack solutions in Node.js, TypeScript, React, AWS, • Collaborate closely on architecture, data models, and API design (REST, GraphQL, tRPC, WebSockets), • Balance speed with long-term maintainability — quality and performance matter here, • Work on innovative challenges across document parsing, data visualisation, and ML integration Who You Are • 5+ years’ experience in high-growth or scale-up SaaS environments, • Deep expertise in Node.js and React; strong TypeScript skills, • Solid understanding of modern DevOps (Docker, AWS, CI/CD, Kubernetes a plus), • Pragmatic engineer who values collaboration, clean code, and thoughtful design Join a team where product excellence, autonomy, and technical craftsmanship drive everything.

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–£180k (flexible for strong profiles) + equity, • 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.

Job Description: • We’re looking for a hands-on Senior Software Developer / Technical Lead with strong expertise in Java and Spring frameworks to design, develop, and deliver end-to-end software solutions., • Operates effectively with minimal supervision, receiving general direction from team leads or senior developers., • Responsible for designing, developing, enhancing, debugging, supporting, maintaining, and testing complex software applications that support business units and related functions., • You’ll collaborate closely with Product Owners to understand business needs, translate them into technical solutions, and drive implementation with minimal supervision. Key Responsibilities: • Work with Product Owners to understand requirements and design efficient technical solutions., • Develop, enhance, debug, and maintain Java/Spring-based web applications., • Create and integrate RESTful APIs using XML/JSON formats., • Write and optimize SQL/PLSQL queries for backend systems., • Ensure high-quality code through testing, performance tuning, and troubleshooting., • Collaborate with Agile teams and contribute to continuous improvement and DevOps practices., • Deploy and support applications on WebSphere, Apache, or Tomcat servers. Required Skills: • 9+ years of hands-on experience with Java, Spring Boot, REST APIs, XML/JSON, and SQL/PLSQL., • Solid understanding of full-stack development with exposure to HTML, JavaScript., • Good knowledge of application servers (WebSphere, Apache, Tomcat)., • Strong analytical and problem-solving skills., • Experience working in Agile environments and familiarity with DevOps tools. Nice to Have: • Experience guiding junior team members or taking technical ownership of projects., • Knowledge of CI/CD pipelines and cloud environments. About Us:

Staff Software Engineer – AI/ML (Business Systems Intelligence) London-based Remote if you don't live in London (2 days in office if you are London based) An opportunity to take on a high-impact, hands-on leadership role within a scaling global SaaS company that’s using AI to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML), you’ll be the technical lead for a newly formed AI Engineering function, designing and delivering the internal AI and data infrastructure that supports smarter decision-making across the organisation. You’ll build and scale AI-powered backend systems that connect enterprise data platforms (CRM, analytics, and communication tools) with large language models — creating intelligent tools and insights that enhance the way teams operate. This is a role with real influence: you’ll own the internal AI stack, mentor other engineers, and help define how AI and automation are adopted across the company. What You’ll Do • Lead the design, architecture, and implementation of internal AI/ML systems for business intelligence., • Build robust APIs, microservices, and data pipelines to power intelligent, data-driven tools., • Develop retrieval-augmented generation (RAG) systems using vector databases for contextual AI., • Set the technical direction for backend and AI integration best practices., • Partner with cross-functional teams to identify and deliver high-value AI applications., • Mentor engineers and shape the company’s approach to internal AI enablement. What You’ll Bring • 7+ years’ experience in backend or full-stack engineering, ideally within a SaaS or data-driven business., • Strong knowledge of LLMs, prompt engineering, and fine-tuning approaches., • Hands-on experience with AI/ML pipelines and vector databases (e.g. Pinecone, FAISS, Weaviate)., • Proficiency in Python plus at least one other backend language (TypeScript or Java preferred)., • Proven experience with AWS, containerisation, and infrastructure as code (Terraform, Docker)., • Solid understanding of API design, data modelling, and microservice architecture., • Excellent communication skills, with the ability to translate technical outcomes into business impact. Tech Environment • Languages: Python, TypeScript, Java, • AI/LLM: OpenAI, Anthropic, Retrieval-Augmented Generation (RAG), • Infrastructure: AWS (Lambda, ECS, S3), Terraform, Docker, • Databases: PostgreSQL, MySQL, Redis, vector databases, • DevOps: GitHub, CI/CD pipelines Why Join • Competitive salary and comprehensive benefits package, • 25 days annual leave + bank holidays, • Paid sick leave and parental leave, • Hybrid working with a central London office (bike storage and showers available), • “Work from Abroad” policy (up to 5 days per year), • Pension scheme, • Collaborative, inclusive, and forward-thinking engineering culture, • Strong focus on career development and ownership This role is ideal for a senior backend engineer who enjoys blending AI innovation with large-scale systems engineering, and wants to lead from the front as part of a growing and ambitious product-led company.

Data Engineer | Social Impact Tech | Hybrid (London) | £60k Want to use your data skills for real social impact? 🌍 Join a purpose-driven tech company helping frontline workers prevent issues like homelessness and child neglect — where your work genuinely changes lives. You’ll help build and scale secure, high-performance data pipelines (Azure Data Factory, SQL, Python) that power products used across the public sector. Expect plenty of ownership, collaboration, and the chance to shape engineering practices in a growing team. What you’ll bring: • 3+ years’ experience in data/platform engineering, • Strong SQL + Python skills, • Hands-on with Azure Data Factory (or similar ETL tools), • A proactive, collaborative mindset Nice to have: CI/CD, Power BI, Azure DevOps, or public sector data experience. Why join: ✨ Work on tech that makes a real difference 💻 Hybrid setup (1–2 days/week in London) 💰 Competitive pay, private healthcare, 25 days’ holiday, enhanced parental leave + training budget If you want your code to do good as well as look good, hit apply or drop me a message for a quick chat.

Senior Software Engineer 📍Location: Onsite, London, United Kingdom ⌛Type: Full-time 💰 Compensation: Negotiable (Competitive salary + equity) About Ontik Ontik is an ambitious, early-stage B2B financial operations platform designed to streamline and simplify complex financial workflows for heavy duty industries. We’re scaling rapidly and looking for top-tier engineers to join our team. You’ll have the chance to work in a high-performance, ownership-driven environment, where you can make a direct impact on the product and help shape its future. Role overview As a Software Engineer (Full-Stack) at Ontik, you’ll play a pivotal role in building and scaling our financial operations platform. This is a hands-on, high-impact position where you will be directly responsible for delivering clean, scalable, and high-performance code. You will work closely with product managers, designers, and other engineers to solve complex problems and create intuitive solutions that help simplify financial workflows for our users. You’ll have the opportunity to own critical features and contribute to the overall architecture of our platform. We’re looking for an engineer who thrives in a fast-paced environment, embraces ownership, and is passionate about building software that makes a real difference. If you enjoy working with cutting-edge technologies, solving challenging problems, and iterating quickly in a collaborative environment, we’d love to hear from you. Essential experience • 5+ years of experience in software engineering, ideally with some experience in a startup environment., • A proactive, ownership-oriented attitude with the ability to take initiative and drive projects forward, • Proficiency in full-stack development using any object oriented language (we use .NET) and any modern javascript framework (we use React), • Experience working with databases (SQL and NoSQL), APIs, and web technologies., • Experience with cloud platforms (AWS, GCP, Azure), • Solid understanding of software engineering principles, including clean code, testing, and version control (git)., • Strong problem-solving skills and the ability to break down complex technical issues and deliver simple, effective solutions., • A collaborative mindset, with the ability to work closely with cross-functional teams to deliver high-quality products, • Excellent communication skills to articulate technical concepts to both technical and non-technical team members, • A passion for building robust, efficient software and a desire to continuously improve your skills and knowledge, • Familiarity with financial technologies, payment systems, or SaaS products, • Experience with continuous integration/continuous deployment (CI/CD) pipelines Desirable • Experience delivering challenging integrations with 3rd party systems, • Understanding of event-driven system design Why Ontik? At Ontik, we embrace a high-performance, ownership-driven culture where every team member plays a critical role in our success. We move quickly, take responsibility for our work, and continually strive for excellence. As a Software Engineer, you’ll have the opportunity to take ownership of key features, work with brilliant colleagues, and make a tangible impact on the future of our platform. If you’re ready to solve challenging problems, build innovative solutions, and contribute to a fast-growing startup, Ontik is the place for you.

Full Stack Engineer (React Native, Node.js, AWS) Location: London, UK - Full Time, On-site. A well-funded fintech start-up is hiring for a Full-Stack Engineer to help craft both the experience and infrastructure that power their mission. Backed by top-tier investors with over $30 million raised to redefine fintech for underserved communities. The Role The company is looking for an exceptional engineer who thrives on building high-impact systems. This role requires a builder who can own features end-to-end—from crafting intuitive user interfaces to designing the APIs that bring them to life. You will be a pivotal part of the engineering team, with a prominent focus on building out the mobile application in React Native, while moving fluidly across the stack to develop the NestJS backend services and manage the AWS infrastructure required to deliver a secure, seamless financial experience. What This Role Involves 📱 App Development: Building rich, accessible, and responsive front-end experiences, with a primary focus on React Native. 🏗️ End-to-End Building: Designing, implementing, and maintaining scalable, secure applications across the entire stack using TypeScript and Node.js/NestJS. ☁️ Core Services & Infra: Developing backend services—from authentication to banking integrations—and utilizing AWS (ECS, RDS) and Docker. 🛡️ Technical Rigor: Balancing fast iteration with the high standards required in a regulated fintech environment, championing best practices in testing and observability. 🤝 Collaboration: Working closely with the CTO, product, and design teams to translate user needs into technical solutions. What They're Looking For ✅ Full Stack Proficiency: Strong fundamentals with comfort building both user interfaces and backend services using TypeScript, React, and Node.js/NestJS. 🚀 Mobile Focus: Proficiency with React Native to lead the build-out of the mobile product. 💾 Database & Cloud: Experience with relational databases (Postgres preferred), clean API design, and cloud infrastructure (AWS, Docker, CI/CD). 🔒 Security Mindset: Familiarity with secure coding and data privacy principles, ideally within fintech or other regulated domains. 💡 Mission-Driven: A collaborative, product-focused mindset with the curiosity and drive to make technology serve real people's needs.

Backend Software Engineer | Python | London, Hybrid | Up to £80k About the Company Albert Bow has partnered with a fast-growing data intelligence platform transforming how private market investors access and use information. Backed by one of Europe’s leading fund services providers, we’re building modern, scalable software for private capital professionals. About the Role You’ll join a small, agile team building the core of our data intelligence platform. Working closely with the Head of Engineering, you’ll design, develop, and deploy backend systems using Python microservices, helping to scale fast and deliver real impact! What You’ll Do • Build and maintain backend features with strong test coverage, • Contribute to architecture and API design, • Translate business needs into technical solutions, • Promote best practices in coding and DevOps, • Collaborate across teams to ship reliable, high-quality software What You’ll Bring • 4+ years of software development experience, • Strong skills in Python and API development, • Knowledge of microservices, CI/CD, and modern engineering practices, • Familiarity with SQL/NoSQL databases, • (Bonus) Frontend experience with JavaScript/TypeScript Apply directly or send your CV to . Thanks, Caila

🚀 Senior Frontend Engineer – Next.js / React Location: Monument WeWork in London Type: Full-Time About Admanage.ai We’re building the Cursor for ad management. Admanage.ai helps companies launch ads 10x faster on Meta & TikTok. Created by top performance marketers who’ve managed over $50M+ in ad spend. Our mission? Level the playing field by giving every business access to enterprise-grade ad automation tools. We make it easy to launch hundreds of ads in seconds, saving advertisers hours. And we’re building AI-powered tools to programmatically create, launch, and manage ads, which is where you come in. We’re profitable, fast-moving, and backed by experience, not just ideas. We commit to GitHub multiple times a day and ship continuously. Why This Role Rocks This is a senior-level frontend role where you’ll design and deliver features that directly impact how the top advertisers launch and manage hundreds of thousands of ads per month. You’ll collaborate with the founding team (ex-Photoroom, ex-ZOE, ex-Nextdoor), shape our frontend architecture, and raise the bar for state management, testing, and performance. You’re not here to maintain, you’re here to build a complex UI that’s robust and well-tested. 🔧 Tech Stack Frontend: Next.js 14, React 18, TailwindCSS, Radix UI, Framer Motion State Management: Zustand Testing: Vitest Backend (light exposure): Node.js, Prisma, MySQL Infra: R2 Cloudfalre, AWS S3, Vercel Auth: NextAuth.js APIs: Facebook Marketing API, TikTok Ads API What You’ll Do Architect and scale the frontend for an app launching 600,000+ ads/month Implement robust state management to handle complex, async, and data-heavy workflows Build production-grade testing frameworks (unit, integration, E2E) to support safe continuous deployment Ship features end-to-end: idea → build → optimize for robust testing, speed and UX You Might Be a Fit If You… Have 2-7 years of experience building production React/Next.js apps Are skilled at state management in large, complex apps Believe testing is part of building, not an afterthought Care about performance, UX, and clean design systems Communicate clearly, move fast, and thrive in a startup culture 💡 Bonus Points For Experience with ad APIs (Meta, TikTok, IG) Prisma + MySQL experience CI/CD pipeline knowledge (Vercel, GitHub Actions) 💰 Perks & Benefits Thirdspace Gym membership Competitive Salary 25 days holiday + bank holidays WeWork Office in Monument Team offsites (Past: Canada, South England) Join Us If You Want To… ✅ Build alongside experienced engineers and founders ✅ Work with a modern stack and ship fast ✅ Solve hard UX and state management challenges in adtech ✅ Own what you build and shape our engineering culture ✅ Grow into a Lead role as the company scales How to Apply Send your GitHub, LinkedIn, and 2-3 lines on the hardest frontend problem you’ve solved lately. Bonus: links to anything you’ve built that makes you proud. Interview Process We start with a take home task where you’ll be asked to identify bugs in a sample github repo and indicate how you would fix it.

Job Title: Senior Data Engineer Location: London, UK (3 days in the office) SC Cleared: Required Job Type: Full-Time Experience: 8+ years Job Summary: We are seeking a highly skilled and experienced Senior Data Engineer to join our team and contribute to the development and maintenance of our cutting-edge Azure Databricks platform for economic data. This platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Senior Data Engineer will be responsible for building and optimising data pipelines, implementing data transformations, and ensuring data quality and reliability. This role requires a strong understanding of data engineering principles, big data technologies, cloud computing (specifically Azure), and experience working with large datasets. Key Responsibilities: Data Pipeline Development & Optimisation: • Design, develop, and maintain robust and scalable data pipelines for ingesting, transforming, and loading data from various sources (e.g., APIs, databases, financial data providers) into the Azure Databricks platform., • Optimise data pipelines for performance, efficiency, and cost-effectiveness., • Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: • Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies., • Develop and maintain data processing logic for cleaning, enriching, and aggregating data., • Ensure data consistency and accuracy throughout the data lifecycle. Azure Databricks Implementation: • Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services., • Implement best practices for Databricks development and deployment., • Optimise Databricks workloads for performance and cost., • Need to program using the languages such as SQL, Python, R, YAML and JavaScript Data Integration: • Integrate data from various sources, including relational databases, APIs, and streaming data sources., • Implement data integration patterns and best practices., • Work with API developers to ensure seamless data exchange. Data Quality & Governance: • Hands on experience to use Azure Purview for data quality and data governance, • Implement data quality monitoring and alerting processes., • Work with data governance teams to ensure compliance with data governance policies and standards., • Implement data lineage tracking and metadata management processes. Collaboration & Communication: • Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions., • Communicate technical concepts effectively to both technical and non-technical audiences., • Participate in code reviews and knowledge sharing sessions. Automation & DevOps: • Implement automation for data pipeline deployments and other data engineering tasks., • Work with DevOps teams to implement and Build CI/CD pipelines, for environmental deployments., • Promote and implement DevOps best practices. Essential Skills & Experience: • 10+ years of experience in data engineering, with at least 3+ years of hands-on experience with Azure Databricks., • Strong proficiency in Python and Spark (PySpark) or Scala., • Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns., • Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database., • Experience working with large datasets and complex data pipelines., • Experience with data architecture design and data pipeline optimization., • Proven expertise with Databricks, including hands-on implementation experience and certifications., • Experience with SQL and NoSQL databases., • Experience with data quality and data governance processes., • Experience with version control systems (e.g., Git)., • Experience with Agile development methodologies., • Excellent communication, interpersonal, and problem-solving skills., • Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs)., • Experience with data visualisation tools (e.g., Tableau, Power BI)., • Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes)., • Experience working in a financial services or economic data environment., • Azure certifications related to data engineering (e.g., Azure Data Engineer Associate).

Head of Engineering Location: London, EC3R ((Hybrid, 2 days per week) Salary: £120,000 – £140,000 + benefits Are you a visionary technical leader ready to shape the future of a growing technology organisation? We’re looking for a Head of Engineering to join a scaling FS trading platform client who can combine hands-on technical expertise with strategic direction — building scalable infrastructure, driving innovation, and leading a high-performing engineering team. 🌟 About the Role As Head of Engineering, you’ll take ownership of the end-to-end technology areas — from hands-on system architecture and infrastructure to DevOps and delivery. You’ll be instrumental in defining the engineering roadmap, implementing modern practices, and ensuring the trading platform systems are robust, secure, and built to scale. This is a hybrid role permitting 2 days a week in the office where you will combining technical depth with leadership impact — perfect for someone passionate about engineering excellence, automation, and empowering teams to deliver their best work. 🔧 Key Responsibilities • Define and execute the overall engineering and DevOps strategy aligned with business goals., • Lead and mentor a cross-functional team of engineers, promoting innovation and technical excellence., • Maintain hands-on involvement in infrastructure design, system architecture, and DevOps implementation., • Oversee development, integration, and optimisation of internal applications and APIs., • Implement and manage CI/CD pipelines, Infrastructure as Code, and automation frameworks., • Ensure system reliability, scalability, and security across all environments., • Collaborate with senior leadership on technology planning, budgeting, and resource allocation., • Champion Agile and DevOps methodologies, fostering a culture of continuous improvement., • Evaluate new technologies and vendor solutions to support growth and innovation. 🧠 Key Skills & Experience • Proven leadership in engineering and DevOps strategy within fast-paced environments., • Strong technical foundation in Linux systems, cloud infrastructure, and automation., • Hands-on experience with Ansible, Terraform, Puppet, or similar tools., • Proficiency in Python, Golang, or Java., • Expertise in CI/CD pipelines, PostgreSQL, and related database technologies., • Understanding of microservices architecture and cloud platforms (AWS, GCP, or OpenStack)., • Excellent communication, leadership, and stakeholder management skills., • Experience with O365, MS Teams, and OneDrive a plus. 💼 Why Join • Lead the technical direction of an ambitious and forward-thinking organisation., • Opportunity to combine strategic leadership with hands-on engineering., • Collaborative, innovative, and supportive culture. Ready to take the lead? Apply now with your latest CV and get in touch directly if you have any further questions.

Job Title: Senior Data Engineer (Contract) Salary Range: £500–£550 per day (Outside IR35) Location / Working model: London | Hybrid (3 days on-site) Join a forward-thinking data environment where innovation meets scale. You’ll take ownership of designing and delivering high-performing data pipelines that enable smarter decisions across the organization. This contract offers autonomy, modern tools, and a platform to make real impact, ideal for a seasoned engineer who enjoys solving end-to-end challenges in the cloud. The Senior Data Engineer (Contract) will architect, build, and maintain robust data solutions within a Google Cloud Platform ecosystem. Role Highlights – Design and deliver scalable ETL and ELT pipelines using SQL and Python – Build and optimize data architectures in Google Cloud Platform (GCP) – Partner with analysts, product owners, and developers to ensure reliable data delivery – Champion best practices for governance, lineage, and performance – Enhance data observability and automate key workflows for efficiency You Will Need – Advanced hands-on experience with SQL, Python, and core GCP tools (BigQuery, Dataflow, Pub/Sub, Composer or similar) – Proven background in full-lifecycle data engineering and automation – Strong understanding of CI/CD and infrastructure-as-code for data systems – Experience with both batch and streaming data – Excellent communication and problem-solving skills in agile environments Why You’ll Love It – Outside IR35, £500–£550 per day – Hybrid working: 3 days per week in central London – Access to a cutting-edge GCP environment – Real ownership over technical design and delivery – Inclusive, collaborative culture that values technical excellence

About the Job Senior Frontend Engineer – London (Victoria) | Hybrid £80k - £110k Are you ready to craft the next generation of data-driven digital experiences for one of Europe’s most technically advanced SaaS innovators? Our client, a pioneer in B2B SaaS solutions, is building “Your Shipping Analytics Supercomputer”, providing cutting-edge data visualisation and dynamic dashboards for high-velocity business & artificial intelligence. About the Role As a Senior Frontend Engineer, you’ll be at the heart of a high-performing engineering team, building intuitive, high-impact web applications that bring complex data to life. Working with cutting-edge technologies like React and TypeScript, you’ll collaborate closely with product, design, and data science teams to shape interfaces that define the future of shipping intelligence. This is a hands-on technical role that blends creativity, collaboration, and engineering excellence, ideal for someone who thrives in fast-paced, high-growth environments. What You’ll Bring • 5+ years of front-end development experience building large-scale web applications., • Expertise in React, TypeScript/JavaScript, HTML, and CSS., • A strong appreciation for UI/UX design and a passion for delivering exceptional user experiences., • Understanding of Design Patterns and SOLID principles., • Experience building and consuming RESTful APIs., • Familiarity with Agile/SCRUM methodologies and modern CI/CD practices. Why Join? • Bootstrapped success story - with multiple thriving business arms., • An executive team with 65+ years of collective experience in shipping management., • Fresh from a £100m AI start-up exit, they’re focusing all their attention on this next big venture. This is an outstanding opportunity to design and deliver the front-end of a platform that’s redefining how businesses interact with data. If you’re a passionate engineer who loves solving complex problems through clean, intelligent design — let’s connect!

Head of Engineering Job Type: Contract 6-12months Salary: DOE Location: Hybrid - London Consultant: Rob Sheppard We’re looking for a Head of Engineering to lead a talented, multi-disciplinary team across product and platform engineering. You’ll combine hands-on technical ability with strategic leadership, shaping the engineering culture, architecture, and delivery approach as the company scales. You’ll work closely with Product, Design, and Data to drive high-quality releases, modernise the tech stack, and help the business evolve towards a best-in-class SaaS platform. Key Responsibilities • Lead and develop engineering teams across product and platform functions, • Set technical direction, ensuring scalable, secure, and maintainable solutions, • Remain hands-on where needed – supporting architectural decisions and reviewing code, • Partner with Product and Design to define and deliver an ambitious roadmap, • Build a high-performance culture based on collaboration, ownership, and continuous improvement, • Drive modern engineering practices – CI/CD, cloud-native design, observability, and automation, • Support hiring, mentoring, and career development across the engineering team About You • Proven experience leading engineering teams in a SaaS environment, • Strong background as a hands-on engineer, ideally with experience in cloud-native or distributed systems, • Track record of delivering high-scale consumer or B2C products, • Comfortable operating at both strategic and technical levels, • Experienced in Agile and modern DevOps practices, • Excellent communicator, able to inspire and influence across technical and non-technical teams Tech Environment (indicative) JavaScript / TypeScript, Node.js, React, AWS, Kubernetes, Terraform, CI/CD, Microservices Why Join • High-impact leadership role within a product-led, scaling business, • Collaborative, engineering-first culture with modern tooling, • Competitive salary, share options, and flexible hybrid working, • Opportunity to shape the future of a growing SaaS platform

Lead ML Engineer 📍 London (3 days a week) | 💰 £100k–£135k + EMI shares | ❌ No sponsorship I’m partnered with a scaling AI consultancy and product company that works with global enterprises to design and deliver cutting-edge Generative AI solutions. They have partnerships with renowned tech firms - adding commmercial value. They’re looking for Lead/Senior ML/AI Engineers with strong software engineering expertise who can deliver production-ready AI solutions and upskill others in a fast-paced, consultancy-driven environment. You'll be a senior in title, but operating as a tech lead in a flat structure. What they’re after: • 5+ years’ experience building enterprise-grade software (Python, microservices, distributed systems), • Proven track record deploying LLM-based applications, • Clear evidence of Software skills (CI/CD etc.), • Ability to lead small teams, own solutions end-to-end, and mentor engineers, • Strong communicator with experience working in client-facing or consultancy settings The package: • Up to £135k base + EMI share options, • Private medical, wellness benefits, pension, life cover, • 25 days holiday + bank holidays, • Hybrid working, 3 days a week in London This is a chance to join a profitable, high-calibre business at the forefront of applied AI, where you’ll shape solutions and influence technical direction across multiple projects. If this sounds like you, apply with your CV!

Full-Stack Engineer – London A high-growth, AI-native enterprise software startup is looking for seasoned Full-Stack Engineers in London to help build and scale their AI-enabled workspace for professional services, investment banking, and asset managers. What you’ll be doing • Building and maintaining frontend web applications using React and Next.js, • Developing, testing, and deploying backend services and APIs (Python preferred, e.g. Django, FastAPI), • Working closely with founders, design, growth, and other engineers to ship high-impact features, • Ensuring scalability, performance, security, reliability and maintainability across the full stack, • Contributing to cloud infrastructure setup and optimisation (AWS, GCP or Azure), containerisation, deployment pipelines, monitoring and optimisation, • Implementing CI/CD pipelines, automated testing, monitoring, and related DevOps practices, • Mentoring junior engineers and helping improve engineering practices across the team What they’re looking for • At least 5 years’ professional software engineering experience, • Strong experience delivering production-grade web applications with React and Next.js, • Solid backend skills, preferably in Python, with good understanding of both relational and NoSQL databases, • Familiarity with Git and collaborative workflows, background workers/task queues (e.g. Celery, RQ), and caching/pub-sub systems such as Redis, • Experience with containerisation (Docker, Kubernetes), asynchronous processing, DevOps, and cloud deployment environments, • An ability to solve complex problems, work under shifting priorities, and thrive in a fast-paced startup environment Why this is a compelling opportunity • You’ll work side-by-side with experienced founders who’ve previously built and exited VC-backed startups, • Competitive salary plus equity, offering genuine upside, • A chance to help shape a generational product and scale it from a small team to large global deployments, • A challenging but rewarding environment: you’ll often be in unfamiliar territory, but you’ll have real ownership and visible impact If you’re a pragmatic engineer who enjoys building robust, scalable, full-stack web systems, and you’re excited by working on next-gen enterprise AI products, this could be the right next step.

Engineering Lead | Perm London | Hybrid (3 days onsite) £100,000 - £120,000 Harrington Starr has partnered with a leading global FinTech seeking an experienced Engineering Lead to join their London team. You’ll lead a small, high-performing engineering group building cloud-native enterprise software used worldwide. Key Responsibilities: • Lead, mentor, and grow a team of 2–5 engineers., • Design, build, and maintain scalable and secure systems., • Champion engineering best practices (Agile, CI/CD, TDD)., • Collaborate with Product and Operations to deliver high-impact solutions. Key Benefits: • Hybrid working model with London HQ., • Competitive salary with bonus and generous holiday allowance., • Private medical insurance and funded professional training., • Inclusive, collaborative engineering culture with progression opportunities. Key Requirements: • Proven experience leading software development teams., • Strong technical expertise in C#, Angular, and cloud platforms., • Experience designing high-availability, performant cloud services., • Excellent communication and stakeholder management skills For any additional questions, please contact me via LinkedIn or email - If you feel this is the right role for you, please apply below!

Working for an industry leading, high-growth SaaS business with some of the biggest brand names in the world as customers, the Backend Engineer will build innovative next-gen solutions that are at the forefront of the data industry. In this role, the Backend Software Engineer will be given full autonomy, taking ownership from design phase through to deployment, building scalable backend systems. The Backend Engineer will be responsible for the design, build and deployment of industry leading software solutions. You’ll work in collaboration with product, design and the wider engineering team to improve and scale existing features, as well as build brand new ones. The Backend Engineer will have: • Experience as a Backend of Full Stack Software Engineer, • Strong proficiency with 1 of the following languages (multiple is a bonus!); Golang, Java, .NET or C, • Experience with cloud platforms e.g. AWS, Azure, GCP - Google Cloud, • Solid grasp of CI/CD practices, unit testing and Kubernetes, • Could come from roles like Back End Engineer, Back End Developer or Fullstack Engineer, They offer a great package on top of your basic salary, including a bonus, private health and a generous pension. With the growth that they are going through, there is also plenty of opportunity for career progression. Backend Engineer London / hybrid (2 days in office) £75,000 + bonus + benefits