Validation engineer jobs in United Kingdom

🚀 Full Stack TypeScript Engineer – AI Property Tech Startup Location: Hybrid (3 days per week in-office, London) Salary: Up to £36,000 per year (depending on experience) Type: Full-Time, Permanent 🌍 About the Company Our client is a rapidly growing startup operating at the intersection of artificial intelligence and real estate technology. Their mission is to reshape how people discover, evaluate, and invest in property, using AI-driven insights, intelligent automation, and a clean, modern user experience. With ambitious growth plans and a culture that values innovation, collaboration, and autonomy, this is an exciting opportunity to join an early-stage company making a real impact. 🧠 The Role We’re seeking a Full Stack TypeScript Engineer who’s passionate about clean code, modern frameworks, and building products that matter. You’ll work across the stack — from crafting elegant user interfaces to developing scalable backend systems — and play a key role in shaping new features and technical direction. This is a hands-on role in a small, agile team, ideal for someone who wants to grow quickly, take ownership, and see their work make a visible difference. 💻 Tech Stack Frontend • Next.js (App Router, React Server Components), • React + Zustand, • shadcn/ui + TailwindCSS, • NestJS + TypeORM, • Redis + Bull/BullMQ, • 100% TypeScript codebase, • pnpm monorepo, • Docker + Kubernetes, • SQL databases 🎯 Key Responsibilities • Design, build, and maintain scalable full-stack features using TypeScript, • Develop intuitive, high-performance user interfaces with React / Next.js, • Implement robust APIs and backend logic with NestJS, • Work with data pipelines, integrations, and AI-driven services, • Write clean, maintainable, and well-tested code, • Collaborate closely with founders, designers, and product leads 💼 Candidate Requirements • Strong experience with Typescript (personal projects are okay), • Minimum 1 year of commercial experience with JavaScript / Node.js, • Strong experience with React / Next.js and NestJS, • Solid understanding of SQL databases and API design, • Comfortable working in a fast-paced startup environment, • Excellent communication and problem-solving skills 🌟 What’s on Offer • Salary up to £36,000 per year (dependent on experience), • Hybrid working – 3 days in-office, 2 days remote, • Flexible working hours and a collaborative culture, • Opportunity to grow within a scaling AI tech company, • High-impact role, your work will directly shape the platform’s future

Data Engineer x3 days a week in the office in London (Green Park) About the Role & Company An established, globally operating financial technology firm is growing its London-based engineering function, with data at the core of its decision-making processes. This is a low-ego, high-impact environment where scalable data architecture underpins cutting-edge research, quantitative modelling, and business-critical systems. As part of a lean and fast-moving data engineering team, you'll build the infrastructure and tooling that enables intelligent data use across the organisation. With significant headroom for expansion over the next 12–24 months, this is an ideal time to join a team at the heart of strategic tech delivery. What You’ll Be Doing • Build and evolve reliable pipelines that ingest, process, and expose data across multiple internal platforms, • Partner with quant stakeholders to translate real-world requirements into high-performance data solutions, • Expand data platform functionality, improving latency, scalability, and observability as usage grows, • Own processes around quality assurance, validation, and error monitoring of datasets, • Explore and introduce new technologies and tooling to keep systems efficient and future-proof, • Play a key role in maintaining smooth, reliable access to structured and unstructured data sources What You’ll Be Doing • Build and evolve reliable pipelines that ingest, process, and expose data across multiple internal platforms, • Partner with quant stakeholders to translate real-world requirements into high-performance data solutions, • Expand data platform functionality—improving latency, scalability, and observability as usage grows, • Own processes around quality assurance, validation, and error monitoring of datasets, • Explore and introduce new technologies and tooling to keep systems efficient and future-proof, • Play a key role in maintaining smooth, reliable access to structured and unstructured data sources What They’re Looking For • Solid Python and Linux/Unix experience for scripting, transformation, and automation tasks, • Strong SQL abilities, with additional exposure to document-based or NoSQL stores (e.g. MongoDB, Postgres), • Strong grasp of core data architecture concepts including schema design and modelling principles, • Experience working in cloud environments (AWS or GCP ideal), • Version control best practices (Git), plus familiarity with automated testing or CI/CD pipelines, • Bachelor's degree in Computer Science, Software Engineering, or a related field Bonus Skills • Knowledge of data orchestration tools (e.g. Airflow), • Background in Java or distributed data systems, • Prior exposure to large-scale infrastructure in data-heavy environments (e.g. trading, analytics, or research), • Master’s degree in a technical discipline is welcome but not required If this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via (feel free to include a CV for review).

Title/Role: Data Engineer Reports To: CIO Based: Charlotte Street, London (W1) (Hybrid: 2-3 days in office) Salary: £50k-£60k depending on experience About Route: Route delivers world-class audience measurement for out-of-home advertising across Great Britain. Our data provides advertisers with precise metrics on not just who is exposed to their campaigns, but who sees them. We've pioneered a world-first by delivering audience numbers for every advertisement broadcast on posters and screens throughout Great Britain. We are currently in an exciting methodological development phase of building new data models, updated collection methods, and inputs. These advancements will enhance our understanding of how people move around Great Britain and which out-of-home advertisements they see. Route is a small, highly experienced team and we are looking for a key individual to expand our technical skillset. What we are looking for: This is an exciting, unique opportunity to work with a close-knit team within the advertising industry. The primary function of the role is to design and maintain reliable data pipelines to support our analytical work. However, this is not a traditional data engineering role; you will be expected to wear multiple hats and contribute across the entire data lifecycle and infrastructure stack. Solid Linux/Unix skills are essential, particularly on the networking and server configuration side given that we have our own in-house server. The successful candidate will also have familiarity with basic DevOps concepts, and an understanding of dashboarding and analytical tools. Everything we do at Route revolves around human behaviour. As such, it is preferable that you too, are human. Ideally, you will also be smart, inquisitive and keen to get things done. You will be part of a small highly collaborative team reporting to and working closely with the CIO, the role will also require you to support the insight team. Please note that we are unable to provide visa sponsorship for this position and candidates must be fully eligible to work in the UK. Responsibilities: · Data Quality Assurance: Perform quality assurance and validation checks on our release data sets · Automation: Automate all routine data checks, data loading processes, and reporting workflows · Data Insights & Tooling: Build internal tools and analytical solutions to extract and surface valuable insights from our proprietary data · Reporting & Analysis: Provide direct data analysis to support the insight team, as well as handling customer queries and producing scheduled data extracts and reports · Data Visualisation: Create and maintain effective end-to-end data dashboards and visualisations for internal and external consumption · Infrastructure & DevOps Support: Apply basic DevOps concepts to maintain services and work across our server and cloud platforms, including contributing to networking solutions Skill Set: Essential: · Programming & Pipelines: Proven experience building robust ETL/ELT pipelines using any major programming language, with a strong preference for Python · Databases & SQL: Extensive experience working with databases, SQL, and data warehouses. Familiarity with Postgres and BigQuery required. · Data Ingestion: Experience ingesting and processing data from diverse sources (databases, data warehouses, and external APIs) · Infrastructure-as-Code (IaC): Hands-on experience with an IaC solution, such as Terraform · Communication: Ability to communicate effectively with both technical and non-technical stakeholders · Experience: Minimum 2+ years of commercial experience in a relevant role Highly Desirable: · Cloud & Server: Experience working with Google Cloud Platform (GCP) · Virtualisation: Familiarity with type-1 hypervisors (Proxmox, XCP-ng) · Networking: Experience with Linux networking, with an understanding of firewalls, switches, vLANs, DNS servers · Best Practices: Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, code reviews, source management (with Git) and testing · Independence: Ability to work independently with minimal supervision Benefits: · 25 days holiday plus bank holidays and Christmas to New Year break · Hybrid working (2-3 days in office) with flexible remote options · Training and development opportunities including dedicated study days · Relaxed, social working environment · Post-probation: Private healthcare, life cover, income protection, enhanced pension (up to 10% employer contribution)

Senior Data Engineer Job Type: Permanent Location: Hub Location (London/Reading/Birmingham/Glasgow/Leeds) Salary: £60,000 - £70,0000 Consultant: Mags Rendle Excellent career opportunity! The Organisation TDRC are excited to be once again working with one of the UK’s leading Wealth Management firms. Through their robust infrastructure, cutting edge technology, and exceptional support, they are delivering an excellent and reliable service to their continuously expanding client base. They are providing the utmost level of quality and security in everything they do. Key Responsibilities • Design, build, and maintain Azure Data Factory (ADF) pipelines to support complex data integration and transformation needs., • Develop scalable and optimised data models in Azure Synapse Analytics for analytical and operational reporting., • Govern and enhance Power BI datasets and semantic models, ensuring best practice in DAX, performance tuning, and report design., • Lead the development of data architecture and standards across Azure Data Lake and Synapse environments., • Contribute to the migration to Microsoft Fabric, shaping platform architecture and integration patterns., • Implement and maintain data validation, monitoring, and quality frameworks., • Work collaboratively with cross-functional teams to translate business requirements into robust technical solutions., • Mentor and support data engineers, ensuring adherence to engineering best practices., • Participate in Agile delivery using Azure DevOps for backlog management, sprint planning, and CI/CD. Technical Skills • Azure Data Factory: Expert in building, automating, and optimising ETL pipelines., • Azure Synapse Analytics: Strong experience with dedicated SQL pools, data warehousing concepts, and performance tuning., • Power BI: Advanced experience managing enterprise models, datasets, and governance processes., • SQL: Expert-level proficiency in query design, optimisation, and data transformation., • Azure Data Lake: Deep understanding of data structures, storage layers, and integration for analytics., • Microsoft Fabric (Emerging): Contribute to the organisation’s transition and adoption strategy., • Git / Azure DevOps: Skilled in version control, release management, and CI/CD., • Azure Machine Learning (Desirable): Experience applying or integrating ML models to enhance analytics., • ChatGPT / Copilot Integrations (Desirable): Experience leveraging AI for data automation and insight generation. Soft Skills • Strong leadership and mentoring capability to support and develop junior engineers., • Excellent documentation and knowledge-sharing practices., • Analytical and adaptable in resolving complex data challenges., • Effective communicator, able to collaborate with both technical and business stakeholders., • Quality-focused with a continuous improvement mindset. Experience • 5+ years of experience in a Data Engineering role within a cloud-based environment., • Proven delivery of data solutions using Azure Data Factory, Synapse Analytics, and Power BI., • Experience leading or contributing to data platform modernisation initiatives, ideally involving Microsoft Fabric., • Prior experience mentoring others and driving technical standards across teams. Benefits This is an impressive business offering a supportive work environment with opportunities for both personal and professional development. Some of the benefits: • Holiday Entitlement–25 days rising to 28 over 5 years, • Holiday purchase scheme - 5 days and carry over 5 days into the following year, • 3-4 days over Christmas – offices close, • A day to celebrate your birthday, A day to move house, A day for your wedding, • A day to make a difference (volunteering day) Give blood (2 hours), • Pension–7% employer / 5% employee contribution, • Private Medical Insurance (PMI) –MHD with optical & dental cover(no upper age limit), • Group Income Protection (GIP) –75% of salary (to state pension age), • Death in Service (DIS) –4 x salary (to age 70), • Critical Illness Cover (CIC) -£10k cover (to age 70), • Bonus scheme, • Professional qualifications, study, training and development, • And many more….. Get in touch to find out more about the benefit package, the organisation, and this career opportunity. Apply below And Mags will be in touch to discuss the role further. The Digital Recruitment Company is an Employment Business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to permanent vacancies. To apply for this role please contact us at: Mags Rendle 0203 640 2133

Senior Automation Test Engineer (Selenium Java & Python) London, UK (Hybrid work model) We are seeking a highly skilled and proactive Senior Quality Analyst with strong expertise in web and mobile application testing, automation frameworks, and API testing. The ideal candidate will have hands-on experience with Selenium (Python), Postman, SQL, and a solid understanding of quality assurance best practices. Exposure to fund accounting, fund administration, or wealth management domains is a strong plus. Key Responsibilities: • Lead and execute end-to-end testing of web and mobile applications., • Design, develop, and maintain automation test scripts using Selenium with Python., • Perform API testing using tools like Postman, including validation of request/response payloads, headers, and authentication., • Write and execute complex SQL queries to validate backend data and perform data integrity checks., • Collaborate with cross-functional teams including developers, business analysts, and product owners to ensure quality throughout the SDLC., • Participate in requirement reviews and provide feedback from a QA perspective., • Create and maintain test plans, test cases, and test data., • Identify, document, and track bugs; perform root cause analysis and regression testing., • Ensure timely delivery of QA deliverables in Agile/Scrum environments., • Provide QA metrics and status reports to stakeholders. Required Skills: • Strong experience in manual and automation testing of web and mobile applications., • Proficiency in Selenium with Python for automation., • Solid understanding of API testing using Postman or similar tools., • Strong command over SQL for data validation and backend testing., • Experience with test management tools like JIRA, TestRail, or similar., • Familiarity with CI/CD pipelines and integration of automated tests., • Excellent analytical and problem-solving skills., • Strong communication and documentation skills. Nice to Have: • Domain knowledge in fund accounting, fund administration, or wealth management., • Experience with performance testing tools (e.g., JMeter, LoadRunner)., • Exposure to cloud platforms (AWS, Azure) and containerized environments (Docker, Kubernetes)., • ISTQB or equivalent certification.

About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, ___ About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, About the team: The role is part of a 24x7 global support team. You may be required to work overnight or weekends, as needed. Occasional travel may also be required. You will be working with customers and other team members in addressing their questions via phone/email about the LNRSG Service The issues can range from a simple password reset to webpage workflow of LNRSG code to troubleshooting network connections to working with the customer on specific rules to improve their risk posture. About the role: As the leading provider of integrated physical and digital risk mitigation solutions, we are looking for a highly capable and versatile Support Engineer to join our Customer Support organization. Utilizing their SaaS, passive services monitoring, and enterprise software experience to enhance our technical customer relationships. Responsibilities: • Providing guidance and validation of software solutions that will allow some of the largest companies in the world do more business online testing and troubleshooting customer integrations, Desktop/Laptop and mobile fingerprinting, API Integrations Policies and rules, escalation and enforcement workflow design., • Following prescribed software workflow and processes when addressing customer questions and ensuring that the Service continues to function normally through software maintenance, testing and post-deployment, • Discerning when software/technical issues should be escalated and responding to customer’s initial questions on our software products and actively monitoring the service that LNRSG provides. Requirements: • Proven experience in Customer Support (pre/post sales) experience and proven track record,, • Proficient in Oral and written French, • Great Customer facing skills (email and over the phone), • Understanding of SQL and generating simple queries, • Knowledge of HTML and at least two of the following technologies; PHP, Perl, JAVA, JSP/JSF, Ruby, Javascript or ASP.Net, • Excellent analysis, troubleshooting and debugging skills, in particular with web workflow and websites, • Ability to handle a wide variety of sometimes demanding and complex issues, • SDK/Mobile Development Android/IOS/Java (desirable) Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: • Generous holiday allowance with the option to buy additional days, • Health screening, eye care vouchers and private medical benefits, • Wellbeing programs, • Life Assurance, • Access to a competitive contributory pension scheme, • Save As You Earn share option scheme, • Travel Season ticket loan, • Electric Vehicle Scheme, • Optional Dental Insurance, • Maternity, paternity and shared parental leave, • Employee Assistance Programme, • Access to emergency care for both the elderly and children, • RECARES days, giving you time to support the charities and causes that matter to you, • Access to employee resource groups with dedicated time to volunteer, • Access to extensive learning and development resources, • Access to employee discounts scheme via Perks at Work

Senior Embedded Software Engineer Salary: Up to £100,000 Location: London - 3 days a week We’re working with a rapidly growing tech for good company that is transforming how data, automation, and smart integrations shape the future of digital infrastructure. Their platform optimises real-time operations, connecting users with seamless, intelligent technology solutions. We are looking for a modern, innovative and driven Senior Embedded Software Engineer to join their growing team. They are looking for someone who has commercial experience working with C software development in an IoT, hardware or embedded solutions environment , who is interested in a data-driven AI-first journey. Responsibilities: • Design, implement, and test firmware for embedded systems across diverse market applications., • Enhance codebase architecture to support scalability, maintainability, and future development., • Maintain and support released products, ensuring long-term reliability and performance., • Provide third-level technical support, diagnosing and resolving complex hardware and firmware issues., • Develop and manage automated test frameworks for embedded devices to ensure robust validation., • Create and execute both manual and automated test cases. Key requirements: • 5+ years experience in software development with C in an embedded environment., • Proven knowledge in digital electronics and working at the interface between hardware and firmware., • Strong experience debugging embedded software and associated electronics and hardware tools., • Strong experience in wireless communications, • Familiar with building test applications in Python., • Proven expertise in developing multi-tasking embedded software on microcontrollers, with hands-on experience in low-level peripherals and communication protocols. This is a chance for a Senior Embedded Software Engineer to join an ambitious and increasingly successful business who deliver impact with their modern technology. **Unfortunately, due to the high volume of applicants not all submissions will receive feedback.

Senior Data Engineer | Systematic Trading A Top-tier quant fund is hiring a Senior Data Engineer to help architect and scale a global Data Lakehouse that feeds directly into live trading strategies. If you’ve already been building data infrastructure inside a hedge fund or HFT shop, you’ll know what this role really means: low-latency, high-availability, globally distributed data pipelines that quant teams trust every day. This is your chance to level up from patching legacy pipelines to building the core platform used by quant researchers and traders across desks and regions. What You’ll Be Driving • Architect and build a global Lakehouse platform (Data Lake + OLAP) in AWS, • Develop scalable data pipelines in Python, working with SDKs and data libs, • Own end-to-end data modeling, ingestion, validation, and optimization for high-concurrency access, • Tune performance of cross-region, multi-format data stores (columnar, real-time, etc.), • Deliver tailored solutions directly to quants and traders – real impact, real visibility, • 5+ years building data platforms in systematic trading, fintech, or high-throughput environments, • Mastery of Python and SQL – C++ is a plus, • Experience with cloud-native stacks (ideally AWS) and interest in infrastructure as code, • A structured, pragmatic mindset with strong ownership and autonomy, • Ability to work closely with front-office teams and iterate fast, • Finance background is a strong plus — you get why PnL depends on good data

Software Engineer – Finance Technology Location: London (Hybrid – 4:1) Our client, a leading global trading firm, is seeking a Software Engineer to join its Finance Technology team. This group builds and maintains the systems that power financial control, treasury, and tax functions across the business. The role offers exposure to distributed systems, data engineering, and high-throughput platforms, with the chance to work on projects ranging from payments automation and expense management to liquidity modelling and regulatory reporting. Key Responsibilities • Design, build, and maintain distributed microservices supporting financial operations, • Develop high-throughput pipelines for ingesting and enriching large datasets, • Implement automation for payments, purchase order capture, and expense validation, • Contribute to modelling and calculation frameworks for liquidity and exposure, • Deliver real-time monitoring and reporting tools for regulatory requirements, • Work across the full SDLC, from requirements gathering to deployment and support What We’re Looking For • 3–6 years of professional software engineering experience, • Strong academic grounding in algorithms and data structures, • Experience with concurrent programming and asynchronous systems, • Familiarity with distributed systems, microservices-based architectures, • Commitment to clean, disciplined software engineering practices, • Proficiency in Go, JavaScript, Java, C++ or other similar statically typed languages Why Apply? • Technically challenging projects in a highly collaborative, engineering-led environment, • Greenfield and business-critical development with rapid release cycles, • Flat structure with autonomy and scope for input at all levels, • Excellent benefits, including healthcare, pension, and daily perks Discretion is guaranteed – your profile will never be shared without consent.

About Electric Twin Electric Twin is pioneering the future of behavioral intelligence using AI. We've built synthetic populations - digital twins of real audiences - that enable organisations to understand human behavior at unprecedented speed and scale. Our platform replaces weeks of traditional market research with seconds of AI-powered simulation, achieving 92% accuracy validated against real-world data. Founded by Ben Warner (former Chief Data Advisor to the UK Prime Minister, architect of the 2019 election model) and Alex Cooper (19-year British Army veteran, Director of UK mass COVID testing), we serve leading enterprises and government agencies making high-stakes decisions. We're a seed-stage company backed by top investors, with a world-class team combining expertise in AI, behavioral science, and strategic simulation. The Role As an AI Engineer, you'll build the systems that bring our AI agents to life and scale the infrastructure that powers our LLM-driven synthetic populations. You'll design agent cognitive architectures, implement context engineering and memory systems, while ensuring these AI systems can operate reliably at scale in production environments. This role balances AI agent development with backend engineering—ideal for engineers who want to work directly with large language models to create realistic behavioral simulations, while building the robust infrastructure needed to deploy them in enterprise settings. What You'll Do • Architecture & Development: Design and implement the cognitive systems that give AI agents consistent personalities, memory, and reasoning capabilities, using advanced LLM techniques like chain-of-thought prompting, RAG systems, and agentic tool use., • Modeling & Experimentation: Design and run systematic experiments to evaluate agent behavior, test hypotheses about behavioral patterns, and iterate on model architectures based on empirical results and validation against real-world data, • LLM Engineering: Build sophisticated prompting strategies, behavioral frameworks, and decision-making systems that enable agents to exhibit realistic human-like behavior across diverse scenarios and demographics., • Scalable Infrastructure & Optimization: Architect and deploy backend services that orchestrate large-scale agent simulations, balancing behavioral sophistication with computational efficiency while optimising prompt design, inference costs, and system performance as agent populations scale. Who You Are Essential Qualifications • Bachelor's or Master's degree in CS, Math, Physics, AI, or related technical field, • Over 7 years of experience with at least 1 year working hands-on with large language models to solve complex problems, • Strong foundation in both AI/ML concepts and backend engineering principles, • Experience working in fast-paced environments where requirements evolve rapidly Technical Skills • LLM & Agent Development: Hands-on experience building applications with large language models, implementing advanced prompting techniques, RAG systems, and agentic workflows, • Backend Engineering: Proficient in Python and backend frameworks (e.g. FastAPI, Django, Flask); understanding of distributed systems and scalable architectures, • AI/ML Frameworks: Experience with PyTorch, Hugging Face Transformers, LangChain, or similar frameworks for building LLM applications, • Data & Storage Systems: Comfortable with databases (PostgreSQL, MySQL), vector databases, and embedding systems for retrieval, • Infrastructure: Knowledge of cloud platforms, containerisation, and deploying ML workloads to production Desirable Experience • Exposure to research-driven product development or academic AI research, • Experience with multi-agent systems, simulation frameworks, or agent-based modeling, • Knowledge of fine-tuning workflows, model optimization, and experiment tracking, • Understanding of statistical validation and data quality assessment Personal Attributes • Strong ownership mentality—you see projects through from design to deployment, • Pragmatic problem-solver who balances technical elegance with business needs, • Clear communicator who can explain complex technical decisions to non-technical stakeholders, • Thrives in ambiguity and adapts quickly as product requirements evolve, • Passionate about building infrastructure that enables innovative AI applications, • Intellectually honest—willing to question prevailing approaches and advocate for better solutions when evidence supports it, • Collaborative mindset—debates ideas vigorously while respecting other perspectives

Company Overview Eeze is a leading innovator in the iGaming industry, specialising in the design, development, and delivery of live casino games. As we expand our operations in the European market, we are committed to pushing the boundaries of gaming experiences, offering cutting-edge, immersive live casino games that are tailored to the unique needs of our clients and their audiences. Our work culture promotes collaboration, creativity, and innovation, all while encouraging a startup mindset. Job Overview As a DevOps Engineer, you will play a critical role in streamlining our development processes, ensuring smooth deployments, and maintaining the resilience and security of our infrastructure. You will work closely with cross-functional teams, implementing cutting-edge solutions to optimise software development lifecycles and ensure high availability, performance, and compliance of our platforms. This role demands a high level of technical expertise in cloud infrastructure, automation, and containerisation, as well as an ability to quickly resolve complex issues under pressure. You will be responsible for overseeing global cloud infrastructure, implementing scalable CI/CD pipelines, and managing Kubernetes clusters, among other key responsibilities. The ideal candidate will have a deep understanding of AWS technologies and experience in automating infrastructure to maintain agility in a fast-paced environment. Key Responsibilities • CI/CD Pipeline Implementation: Architect, develop, and optimise automated Continuous Integration/Continuous Deployment (CI/CD) pipelines using industry-standard tools (Jenkins, GitLab, Argo). Ensure pipelines follow best practices to expedite software releases, while maintaining high-quality standards and minimizing risks., • Container Orchestration: Manage, maintain, and scale Kubernetes and Docker clusters across various jurisdictions with different regulatory requirements, ensuring that platforms remain secure, compliant, and efficient., • Infrastructure as Code (IaC): Design, automate, and manage AWS infrastructure using Terraform, adhering to infrastructure-as-code principles to enable fast, repeatable, and consistent provisioning of environments. Ensure cloud resources are highly scalable, reliable, and optimized for cost., • Incident Management & Troubleshooting: Serve as a third-level escalation point for complex platform incidents. Quickly troubleshoot, diagnose, and resolve issues to minimise downtime and ensure operational continuity., • Automation & Scripting: Use Python, Bash, or other scripting languages to automate routine tasks such as health checks, system hygiene, monitoring, and service maintenance. Continuously identify and implement automation opportunities to increase efficiency., • Cloud Infrastructure Management: Oversee the management of global cloud infrastructure (primarily AWS) to ensure seamless integration, scaling, and resilience. Maintain services like AWS EC2, ECS, EKS, VPC, and Transit Gateways., • UAT Environment Management: Build and maintain high-quality User Acceptance Testing (UAT) environments to ensure that pre-production testing mirrors production environments, allowing rigorous and reliable software validation before live releases., • Monitoring & Maintenance: Perform daily monitoring and maintenance of infrastructure and services to ensure maximum availability, performance, and security. Proactively identify potential issues and implement preemptive solutions., • On-call Support: Participate in a rotating on-call schedule, providing expert support to resolve urgent incidents and ensure that systems are operational 24/7. Experience • Minimum of 5 years in a DevOps Engineer or similar role, with proven experience managing, • CI/CD pipelines, cloud infrastructure, and containerised environments., • CI/CD Expertise: Hands-on experience with CI/CD tools and methodologies such as Jenkins,, • GitLab, ArgoCD, and Nexus. Demonstrated ability to implement fully automated, reliable, and scalable CI/CD solutions., • Infrastructure Automation: Proficient in using Terraform or similar Infrastructure-as-Code tools to automate the provisioning, configuration, and management of cloud resources., • Cloud & AWS Knowledge: Strong experience with AWS and native services, particularly EKS, EC2, VPC, S3, and Transit Gateways. Experience with other major cloud platforms (GCP, Azure) is a plus., • Containerisation & Orchestration: Extensive knowledge of containerisation (Docker) and orchestration platforms (Kubernetes). Ability to deploy and manage clusters at scale., • Database Familiarity: Solid understanding of database systems such as Oracle, PostgreSQL,, • MongoDB, with an ability to optimise their integration into cloud-native infrastructure., • Scripting & Automation Tools: Proficiency in scripting languages like Python, Bash, or similar., • Experience with automation tools like Unusable for automating infrastructure tasks., • Troubleshooting Skills: Strong problem-solving abilities, with a demonstrated capacity to troubleshoot and resolve complex technical issues efficiently under pressure., • Collaboration & Communication: Excellent verbal and written communication skills, with the ability to work independently and as part of a cross-functional team spanning multiple locations (Malta, London, and Romania).

We’re looking for a highly capable and motivated Data Engineer to join a growing data team. This is a pivotal role, leading the migration of a data infrastructure from AWS to Microsoft Azure and shaping the future of their data platform. This role will play a key role in enabling seamless data integration, transformation, and reporting across diverse sources. This is a strategic, hands on opportunity and perfect for someone who loves innovation, embraces change, and enjoys building robust, future-ready data solutions. • Lead the migration of data infrastructure from AWS to Azure, defining the roadmap, proposing scalable Azure-native solutions, and collaborating with the Solution Architect and Head of Data., • Design and build data pipelines into Azure (Data Lake, Synapse, Blob Storage, Azure SQL) to ingest structured, semi-structured, and unstructured data from multiple sources and APIs., • Develop and optimise ETL/ELT workflows using Azure Data Factory, applying robust transformation logic, validation, and lineage tracking to support analytics and reporting., • Modernise and manage databases, ensuring performance optimisation, governance standards, and scalable architecture across regions and environments., • Oversee cloud operations and resilience, including usage optimisation, disaster recovery, and data archiving in line with governance and retention policies., • Deliver high-quality documentation and collaboration, leading data mapping, model design, and cross-functional workshops to support platform migration and ongoing delivery. Experience: • 6–10 years experience with SQL Server (including T-SQL and performance tuning)., • Proven background in ETL/ELT design (ideally using Azure Data Factory)., • Hands on experience with cloud-based data ingestion and transformation (preferably Azure)., • Familiarity with Azure Medallion architecture or similar layered data models., • Integration experience using APIs, SFTP, and file-based systems., • Proficient with Power Automate, SharePoint, and Office 365 integrations., • Basic C# or PowerShell for automation or custom integration tasks., • Experienced in SQL optimization, troubleshooting, and scalability., • Cloud certification (Azure Practitioner or similar) is advantageous.

Job Title: End-to-End QA Engineer 📍 Location: London (Hybrid) 🕒 Employment Type: Full-Time £50-55k + Benefits DOE Position Summary Expanding Software Development focused organisation already hired 8 technical resource into the Ops teams this year.... We are seeking a meticulous and driven End-to-End Quality Assurance (QA) Engineer to join our dynamic technology team. In this role, you will be instrumental in ensuring the flawless performance of our software applications, APIs, and hardware integrations through rigorous manual testing. You’ll work across the full product lifecycle, collaborating with cross-functional teams to uphold the highest standards of quality, reliability, and user experience. Key Responsibilities 🔧 Test Planning & Strategy • Design and implement robust test plans for software, APIs, and hardware., • Collaborate with developers and product managers to define testing scope and objectives., • Execute manual functional tests to validate expected behavior., • Conduct performance, load, and stress testing., • Manually test APIs for functionality, performance, and reliability., • Validate data flow and integrity across integrated systems., • Ensure data accuracy and consistency across databases and sources., • Perform reconciliation and validation tasks., • Test applications on mobile, tablet, and IoT devices., • Identify and troubleshoot hardware-software integration issues., • Log and track defects with detailed documentation., • Work closely with development teams to ensure timely fixes., • Act as a bridge between development, product, and implementation teams., • Provide clear updates on testing progress and risks., • Participate in agile ceremonies and contribute to technical decisions. Required Skills & Qualifications • Proven experience in QA engineering or software testing roles., • Strong understanding of testing methodologies and QA processes., • Hands-on experience with API testing tools (e.g., Postman, SoapUI)., • Excellent analytical and problem-solving skills., • Detail-oriented with a commitment to quality., • Strong communication and teamwork abilities., • Familiarity with device testing and cross-platform compatibility., • Knowledge of data verification and integrity principles., • ISTQB, CSTE, or similar certifications are a plus.

Junior AI/ML Azure Engineer / 6 months / Hybrid London / Start ASAP My client is setting up a brand new AI/ML function and within this capability, we are looking for a Azure AI MLOps Engineer professional. The role is based within the IT department on the AI function, located in my clients London headquarters building. We are seeking a highly skilled and experienced Azure AI Engineer to design, develop and implement the AI and ML applications on the Azure platform. You will have adequate knowledge in deploying, integrating, testing and securing Azure AI Services encompassing AI and ML functions. You will be critical in creating intelligent AI applications. You will work closely with cross-functional teams to conceptualise, design, test, and deploy AI projects that drive innovation and provide value in the rapidly evolving field of artificial intelligence. The AI IT application development uses Agile software delivery on Azure cloud technologies. The development uses a platform built using Python technologies together with commercially available off the shelf software products with the clients solution architecture team guidance. Job Responsibilities • Build, develop and deploy AI powered applications using Python and related frameworks, • Utilise Python and other relevant programming languages to build intelligent applications on the Azure platform., • Design and develop Azure AI Services proficiently; Develop solutions using Azure AI Prompt Flow;, • Setup and develop data ingestion pipelines and components; design and develop efficient ingestion methodologies, • Developing search related components using Azure AI Search (Vector Store), • Developing and deploying AI/ML models on Azure technologies for business teams, • Work closely with MLOps engineers to Integrate MLOps practices into the existing development lifecycle, • Collaborate with AI Engineers, MLOps Engineers, Data Scientists and Business stakeholders to understand deployment, networking and security requirements in helping design effective AI solutions for the projects, • Develop and test code, ensuring high quality, maintainability, and adherence to best practices., • Create and maintain secure and performant AI platform, • Provide technical expertise in designing, developing and implementing the AI powered applications, • Develop unit tests, automated regression packs and help setup model evaluation test packs, • Build and maintain scalable, high-performance AI apps on Azure platform., • Provide technical expertise and support to troubleshoot and resolve AI-related issues and performance bottlenecks., • Stay current with industry trends and best practices in AI technology and recommend innovative solutions to enhance business operations., • Conduct thorough testing and validation of AI models to ensure accuracy and reliability., • Document and communicate AI solutions and recommendations to technical and non-technical stakeholders clearly and effectively., • Develop and implement automated testing frameworks for machine learning models to ensure their ongoing accuracy and reliability., • Document AI development processes and procedures for efficient knowledge transfer and maintainability. Job Deliverables • Developing, designing and integrating AI Powered Applications with the approved tech stack and bank standards, • Developing Azure AI Services based AI applications, • Creating testing frameworks, evaluating AI/ML models, • Monitor and troubleshoot AI solutions to ensure optimal performance and address any potential issues, • Documentation of design and implementation strategy, • Implementation of pipeline and dependent tooling in conjunction with the clients DevOps suppliers and the clients IT Operations, • Ensuring effective solution rollout into teams and existing applications, • Identification of bottlenecks and performance improvements across deployment cycle, • Help promote a AI Development best practices and culture across the client IT, • Maintaining delivery cadence in conjunction with teams, • Maintaining the end-to-end service delivery cycle, • Building reusable and scalable solutions, • Lead investigations to troubleshoot and resolve complex technical problems using a variety of techniques

We are looking for a highly experienced Software Automation Test Engineer in Test with a strong background in software testing, automation development, and DevOps. The ideal candidate will have hands-on experience across a wide range of technologies including Java, Node.js, CI/CD, Terraform, Azure, Docker, and service virtualisation. This role also involves working with cutting-edge AI technologies and infrastructure as code (IaC) implementations. Candidate should be SC cleared. Key Responsibilities: • Design and implement scalable automated test frameworks using Java and Node.js., • Develop and execute automated test suites for functional, regression, and non-functional testing (e.g., performance, scalability, reliability)., • Perform API testing and ensure robust validation of service integrations., • Build and maintain CI/CD pipelines using GitHub Actions, Maven, and other DevOps tools., • Implement Infrastructure as Code (IaC) using Terraform for consistent and repeatable environment provisioning., • Work with Azure cloud services and Azure Foundry to deploy and manage test environments., • Create and manage Docker containers for isolated and reproducible test setups., • Collaborate on the development of Agenti AI solutions using various LLM models hosted on Azure Foundry., • Apply service virtualisation techniques to simulate unavailable or third-party services during testing., • Debug complex issues in Java and Node.js applications, providing detailed root cause analysis and resolution., • Ensure test environments are secure, scalable, and aligned with production configurations., • Document test strategies, plans, and results clearly and concisely., • Communicate effectively with cross-functional teams including developers, DevOps engineers, and product owners Required Skills & Experience: • Proven experience in software testing and automation development., • Strong programming skills in Java and Node.js., • Hands-on experience with CI/CD tools (e.g., GitHub Actions, Maven)., • Expertise in Terraform for IaC and cloud resource provisioning., • Experience with Azure cloud services and Azure Foundry., • Familiarity with Docker and container orchestration., • Experience in API testing and service virtualisation., • Understanding of non-functional testing principles., • Demonstrated ability to debug and resolve issues in complex systems., • Strong communication and collaboration skills., • Experience in building automation frameworks from scratch. Preferred Qualifications: • Certifications in testing (e.g., ISTQB), cloud (e.g., Azure), or DevOps are a plus., • Experience with AI/ML technologies and LLM integration is highly desirable., • Familiarity with container orchestration tools (e.g., Kubernetes) is a bonus.

Job Summary: We are looking for a highly experienced Software Automation Test Engineer in Test with a strong background in software testing, automation development, and DevOps. The ideal candidate will have hands-on experience across a wide range of technologies including Java, Node.js, CI/CD, Terraform, Azure, Docker, and service virtualisation. This role also involves working with cutting-edge AI technologies and infrastructure as code (IaC) implementations. Key Responsibilities: • Design and implement scalable automated test frameworks using Java and Node.js., • Develop and execute automated test suites for functional, regression, and non-functional testing (e.g., performance, scalability, reliability)., • Perform API testing and ensure robust validation of service integrations., • Build and maintain CI/CD pipelines using GitHub Actions, Maven, and other DevOps tools., • Implement Infrastructure as Code (IaC) using Terraform for consistent and repeatable environment provisioning., • Work with Azure cloud services and Azure Foundry to deploy and manage test environments., • Create and manage Docker containers for isolated and reproducible test setups., • Collaborate on the development of Agenti AI solutions using various LLM models hosted on Azure Foundry., • Apply service virtualisation techniques to simulate unavailable or third-party services during testing., • Debug complex issues in Java and Node.js applications, providing detailed root cause analysis and resolution., • Ensure test environments are secure, scalable, and aligned with production configurations., • Document test strategies, plans, and results clearly and concisely., • Proven experience in software testing and automation development., • Strong programming skills in Java and Node.js., • Hands-on experience with CI/CD tools (e.g., GitHub Actions, Maven)., • Expertise in Terraform for IaC and cloud resource provisioning., • Experience with Azure cloud services and Azure Foundry., • Familiarity with Docker and container orchestration., • Experience in API testing and service virtualisation., • Understanding of non-functional testing principles., • Demonstrated ability to debug and resolve issues in complex systems., • Strong communication and collaboration skills., • Certifications in testing (e.g., ISTQB), cloud (e.g., Azure), or DevOps are a plus., • Experience with AI/ML technologies and LLM integration is highly desirable., • Familiarity with container orchestration tools (e.g., Kubernetes) is a bonus.

FPGA ENGINEER – ULTRA-LOW LATENCY SYSTEMS Location: London (Hybrid: 4 days onsite) Sector: Quant Trading / High-Performance Computing Industry leading compensation Quant Capital is partnering with a global trading firm building a greenfield FPGA team focused on low-latency, high-throughput hardware systems. This small, senior group will deliver high-speed compute infrastructure integrated directly into trading, research, and networking pipelines. What You’ll Be Doing • Designing and implementing latency-optimised FPGA systems in Verilog/SystemVerilog, • Developing high-speed modules (PCIe, Ethernet, DDR/QDR) with deep pipelining, • Using simulation and formal tools (Verilator, Cocotb, etc.) for validation, • Working across teams (ASIC, software, infra) to co-design tightly coupled platforms, • Contributing to tooling, flow, and potentially DSL extensions What We’re Looking For • Strong RTL skills with experience building complex, optimised designs, • Programming skills, C, C++ or similar, • Solid grasp of timing closure, datapath design, and hardware-level performance tuning, • Familiar with toolchains (Vivado, Quartus) and debugging workflows, • Comfortable working close to hardware and owning the full development cycle, • Interest in improving hardware workflows or applying high-level techniques Bonus • Background in trading systems, signal processing, or networking, • Experience with formal verification and/or hardware DSLs, • Knowledge of FPGA-based networking acceleration Why Join? • Build from scratch with a team driving real strategy and architectural decisions, • Work across the full lifecycle, from concept to deployment, • Deep technical ownership, minimal overhead, and real impact, • Collaborate with top engineers in a no-bureaucracy culture All enquiries handled in strict confidence. Your profile will only be shared with your permission.

IRIS Software Group is one of the UK’s largest privately held software companies. Its purpose is to be the most trusted provider of mission-critical software and services, ensuring customers get it right first time, every time. IRIS has over 120,000 UK and international customers with 80% having a tenure of five or more years. IRIS is the largest third-party online filer with the UK Government. Ninety-one of the top 100 UK accountancy firms and 50 of the top 100 US CPA firms use IRIS software. Circa 20% of the UK’s workforce is paid by IRIS payroll offerings. More than 850,000 UK employees are managed by IRIS HR solutions. Over 11,000 UK schools and academies use IRIS, with four million parents and guardians using IRIS apps to connect with their children’s school; 300 million messages are delivered between schools and parents each year, and over £15 million transactional payments are processed every month. IRIS is placed 93rd in the Grant Thornton Sunday Times Top Track 250, which is compiled by Fast Track and published in The Sunday Times each September, celebrates Britain's private mid-market growth companies with the biggest performance. Purpose : We are seeking an experienced Data Engineer to join our growing team. In this role, you will be responsible for the development of data engineering processes within a customer-facing data warehousing product. This product plays a critical role in delivering analytics solutions for both the State and Commercial sectors. To be successful in this role you will work with the product and engineering team to identify valuable data sources and analyse trends in the data for our customers. You will build predictive models and work with the engineering team to provide further insights to our customers. You will be able to design and develop end-to-end data pipelines to handle complex transformations and large-scale processing. You will have experience improving data reliability and quality through automated testing, monitoring and validation frameworks. This is a great opportunity for you to join a growing and investing product and customer centric business, with the significant opportunity for you to share and grow your skillset. Qualification : • BSc or MSc degree in Computer Science, Data Science or a related technical field ) Experience : • Bachelors or Masters degree in Computer Science, Data Science or a related field., • 3+ years experience in building a scalable data pipelines with cloud-native tools in AWS or similar., • Extensive experience working with a data warehousing solution preferrably Snowflake., • Excellent data modelling and analytics techniques preferrably dbt (for transforming raw data into meaningful insights within modern data warehouses), • Strong Python and SQL coding skills. JavaScript is a plus but not required., • Experience implementing development best practices including writing automated testing and CI/CD deployment. Responsibilities : • Build and maintain reliable data pipelines and ETL processes for data ingestion and transformation., • Support the development and maintenance of data models and data warehouses used for reporting and analytics., • Collaborate with senior engineers, analysts, and product teams to understand data requirements and deliver accurate datasets., • Ensure data quality and consistency through validation and monitoring checks., • Assist in optimizing data workflows for better performance and efficiency in cloud environments (Azure/AWS/GCP)., • Work with various data sources such as APIs, databases, and files to integrate data into common platforms., • Participate in code reviews, testing, and documentation to ensure maintainable and reusable solutions., • Contribute to automation and process improvements within the data engineering team.

Propel are proud to be partnering with a rapidly scaling global fintech, backed by leading investors, that’s redefining financial access for immigrants and international communities worldwide. Their multi-currency platform powers instant cross-border payments, foreign exchange, and inclusive financial products all built on modern technology designed to remove friction, reduce cost, and empower users wherever they are. With operations spanning 15+ countries and integrations with banks, payment providers, and mobile wallets, this company is building the first full-stack financial ecosystem for the world’s immigrant population. They’re now hiring a Data Engineer to help scale the data infrastructure that powers their rapidly growing lending business. The Role This is a hands-on engineering role for someone passionate about building robust data systems that directly enable smarter, faster, and fairer credit decisions. You’ll design, develop, and maintain data pipelines that power underwriting, credit decisioning, and portfolio analytics, working closely with cross-functional teams in risk, product, and data science. Your work will sit at the heart of the business, enabling automation, risk monitoring, and data-driven insights that shape next-generation credit products for underserved markets. What You’ll Be Doing • Design, build, and maintain scalable data pipelines supporting credit risk modelling, underwriting, and portfolio management., • Ingest data from diverse sources - including ledgers, transaction systems, credit bureaus, open banking APIs, and third-party providers., • Implement automated processes for data validation, anomaly detection, and quality control to ensure accuracy and reliability., • Deliver production-ready datasets that power credit decision engines and affordability models in real time., • Partner with cross-functional teams (credit risk, data science, product, compliance) to understand business requirements and deliver tailored data solutions., • Monitor infrastructure performance, optimise for scalability, and troubleshoot issues proactively., • Maintain documentation of data flows, transformations, and business logic, supporting strong governance and compliance standards. What You’ll Bring • 2+ years’ experience as a Data Engineer (or similar), ideally in consumer lending, fintech, or financial services., • Strong hands-on skills in SQL, Python, and modern data engineering tools such as Snowflake, dbt, and Dagster., • Experience handling transactional data, credit bureau data, or open banking APIs., • Understanding of data quality, lineage, and governance in regulated environments., • Comfortable working cross-functionally and turning raw, complex data into clean, production-ready datasets., • Curious, collaborative, and energised by working in a fast-paced, mission-driven fintech environment. If you're a Data Engineer, based in the UK, looking for your next opportunity, we'd love to hear from you!

Freelance Remote Opportunity: Tech Lead – GenAI Code Initiatives We’re seeking an experienced Tech Lead / Senior Software Engineer to spearhead our GenAI Code Initiatives. This is a hands-on, freelancing remote role focused on evaluating, improving, and advancing AI-driven code generation systems. Key Responsibilities • Code Generation & Refinement: Write, evaluate, and refine complex code solutions. This is a hands-on technical role, not purely managerial., • Code Validation: Design and implement advanced frameworks to rate and test model-generated code, including automated test suites and benchmarking systems., • Code Quality & Efficiency: Analyze and enhance both human-written and model-generated code for performance, correctness, and maintainability., • Experience: 7–10+ years of proven experience in building and deploying complex software solutions., • Languages (Priority): Strong proficiency in Python, Java, C, C++, or JavaScript — especially for evaluating and refining model-generated code., • Code Evaluation Expertise: Skilled in developing test harnesses, assessing code for correctness, efficiency, and security, and defining measurable code quality metrics., • Priority Languages: Python, Java, C, C++, JavaScript, • Domain Expertise: STEM fields, data analysis/science, or data visualization, • Technical Stack: Web visualization platforms, SQL/databases, JSON, HTML, Markdown, and modern data libraries. As a Tech Lead for GenAI Code Initiatives, you will: • Accelerate Development: Streamline validation and refinement of AI code models., • Ensure Quality: Guarantee production-grade, secure, and efficient model outputs. 🕓 Engagement: Part-time or full-time contract 💼 Experience Level: Tech Lead / Senior Software Engineer If you’re passionate about building the future of AI-assisted coding, we’d love to hear from you. 📧 Apply now with your CV, hourly rate, and availability.

About Classic Football Shirts Classic Football Shirts started in 2006 when university friends Matt Dale and Doug Bierton set out to track down rare football shirts. From those early days in a bedroom full of rails, the company has grown into a thriving business with a talented team, a busy warehouse, and stores in Manchester, London, and the US. Our passion for football and the stories behind every shirt drives everything we do. At Classic Football Shirts, we work together, stay grounded, and always put our fans at the heart of the business. We share the passion, win together, stay fan-focused, be agile, and stay grounded — values that guide how we operate every day. To find out more about our story so far please follow this link: We welcome all suitably qualified applicants and are committed to creating an inclusive environment for all our employees. We have a great work ethic and a friendly group of diverse employees who enjoy working here to help carry out our mission. The Role: As a Data Engineer, you’ll be an integral part of our team, contributing to the development and performance of our data infrastructure and capabilities. This role involves close collaboration with the development team, business analysts, and key internal stakeholders to design, build, and improve data systems through solution design, data pipelines & AI. You will play a key role in designing and delivering data solutions that meet business requirements, ensuring that systems are efficient, scalable, and aligned with organisational goals. This includes taking ownership of the full data lifecycle, from ingestion and modelling to integration and delivery while maintaining high standards of quality and documentation. This role is ideal for someone with a solid grounding in data concepts and a genuine interest in applying and developing their technical and solution design skills in a real-world business environment. While you’re not expected to know everything on day one, you should have a problem-solving mindset, a willingness to learn, and some practical experience working with data. Your work will contribute to building solutions that help drive better operational performance and business decisions to support day-to-day operations. Location: Manchester, Hybrid Hours: The role is a full-time position Key Responsibilities: • Design, document, and deliver end-to-end data solutions, ensuring alignment with architectural best practices, scalability, and business needs., • Work closely with business and technical stakeholders to gather and interpret requirements, translating them into clear, actionable technical designs., • Design, develop, and maintain robust data pipelines (ETL/ELT) to ensure reliable, automated data flow between internal and external systems., • Integrate and manage data from a variety of sources including relational databases, APIs, and cloud platforms., • Model, structure, and transform data to maintain high quality, consistency, and efficiency across analytical and operational systems., • Develop, test, and deploy automated data workflows and orchestration using tools such as Airflow, DBT, or similar frameworks., • Build, maintain, and enhance data models and semantic layers to support BI, analytics, and AI initiatives., • Collaborate with analysts and business teams to develop and evolve dashboards and reports, enabling clear, actionable insight., • Contribute to the solution design and architecture of new data products and integrations, ensuring technical soundness and maintainability., • Monitor and optimise performance of data pipelines and warehouse queries, implementing improvements where needed., • Champion data quality and governance, implementing validation and monitoring to ensure accuracy and reliability., • Document all data systems, models, and workflows to ensure transparency, reusability, and long-term maintainability., • Collaborate with other departments to evaluate new tools and technologies, contributing to the evolution of the company’s data strategy and capabilities., • Get involved with AI and automation initiatives, identifying where modern data solutions can drive efficiency and innovation., • Provide occasional out-of-hours support where required to ensure continuity of key data operations. About You/Qualifications: • Strong understanding of data engineering principles, including data pipelines, ETL/ELT processes, data warehousing, and solution design., • Proven ability to design, document, and deliver scalable data solutions from requirements gathering through to deployment., • Ability to lead or contribute to technical design discussions, ensuring solutions are robust, maintainable, and aligned with business needs., • Proficiency in Python for data transformation, automation, and integration tasks, and SQL for building and optimising complex queries., • Hands-on experience with cloud data platforms, ideally Google Cloud Platform (BigQuery, Cloud Storage, Cloud Functions) or equivalents such as AWS Redshift or Azure Synapse., • Practical experience using modern data tooling such as DBT, Airflow, or Prefect for orchestration, transformation, and workflow automation., • Experience designing and maintaining data models and schemas to support reporting, analytics, and machine learning workloads., • Familiarity with data integration from APIs and third-party systems, and strong awareness of data quality, validation, and governance best practices., • Understanding of version control (Git) and continuous integration / deployment (CI/CD) workflows., • Awareness of AI and machine learning workflows, including data preparation for model training and production use (e.g. Vertex AI, Databricks, or similar), • Strong problem-solving and analytical skills, with the ability to identify and resolve issues independently., • Clear communication skills and the ability to collaborate effectively with both technical and non-technical teams., • E-commerce or retail data experience is beneficial but not essential., • Continuous improvement mindset, with enthusiasm for automation, scalability, and adopting new technologies to improve data systems. Application: • Please note: We are not engaging with recruitment agencies for this role, so we kindly ask that agencies do not contact us regarding this vacancy.

About us Plessey has a long history of innovation. Founded in 1956, we have evolved from one of Europe’s earliest semiconductor pioneers into the world’s most advanced MicroLED specialist. Over the decades, Plessey has built a first class, fully integrated platform designing, manufacturing, and engineering next-generation display technologies entirely in-house. This end to end capability, combined with our strong IP portfolio, uniquely positions us to lead the scaling of MicroLEDs from lab innovation to high-volume production. Our future is even brighter. We believe MicroLEDs will define the next era of technology—powering ultra-efficient AR/VR displays, driving optical processors that make AI faster and more sustainable, and enabling devices yet to be imagined. With our unique expertise and talented team, we are positioned to lead this transformation. It’s an exciting time to join us: Plessey has recently been acquired by Haylo Labs, accelerating our growth and opening new opportunities. Location Based at our manufacturing facility in Plymouth, UK Our Values • Innovation, • Collaboration, • Commitment, • Care About the Role You will be joining a dynamic R&D team and will play a critical role in the design, simulation, prototyping, and testing of advanced optical systems for our MicroLEDs & optical computing. We are dedicated to pushing the boundaries of what's possible, creating next-generation products that redefine user experiences. Our team is a collaborative group of innovators, and we're looking for a talented Optical Engineer to help us bring our vision to life. Key Responsibilities • Design & Simulation: Design, model, and simulate complex optical systems using software such as Zemax OpticStudio (OpticStudio), Code V, LightTools, or FRED, • Prototyping & Testing: Develop and execute test plans for optical components and systems. Characterize performance using interferometers, spectrometers, MTF testers, and other lab equipment, • Component Specification: Specify and select appropriate optical components (lenses, mirrors, lasers, LEDs, waveguides, diffractive optics, Metalenses) based on performance, cost, and manufacturability requirements, • Tolerance Analysis: Perform thorough tolerance analysis to guide mechanical design and inform manufacturing processes, • Supplier Liaison: Collaborate with external suppliers and manufacturers to guide the fabrication and validation of custom optical elements, • Documentation: Create and maintain comprehensive documentation, including design files, test reports, and performance analyses Experience & Attributes • M.S. or Ph.D. in Optical Engineering, Physics, Electrical Engineering, or a related field. (A B.S. with significant relevant experience will be considered), • Strong foundation in geometrical optics, physics, and hands-on experience in building prototypes of optical designs, • 3+ years of professional experience in optical design and engineering, • Proficiency with optical design software (e.g., Zemax OpticStudio or Code V) for simulation and optimisation, • Hands-on experience in an optical lab environment, including alignment, metrology, and diagnostic techniques, • Deep understanding of geometrical optics, imaging systems, aberration theory, and radiometry/photometry, • Experience with manufacturing processes for optics (e.g., injection molding, glass grinding/polishing, diamond turning), • Excellent problem-solving skills and the ability to work independently in a fast-paced environment, • Strong communication and teamwork skills Advantage • Experience with waveguide optics, holography, polarized light, or diffractive optical elements (DOEs), • Knowledge of human visual perception and ergonomics, • Familiarity with display technologies (LCoS, DLP, MicroLED, OLEDoS), • Proficiency in non-sequential optical software (LightTools), • Experience with light sources like LEDs and Lasers, • Programming/scripting skills for automation and data analysis (Python, Labview, MATLAB), • Experience with CAD software (e.g., SolidWorks) for mechanical integration, • Familiarity with systems engineering principles and requirements flow-down, • Experience in a fab microelectronics development environment

Senior Optical Engineer / Hardware Validation Engineer. Senior Optical Hardware Validation Engineer. This role would suit an electronics or optical engineer with experience of highspeed fibreoptic network electronics integration, test and validation.

As part of their continued growth, we are seeking a Senior Systems Engineer to join their high-performing engineering team in North London. Deliver systems engineering activities across the full lifecycle – from requirements capture and concept design to testing, validation and delivery. If you’

You’ll work with cutting-edge tools and cloud technologies, including Azure Data Factory, Data Bricks, SQL Server, Python, Alteryx, and FME, to deliver scalable, high-quality data solutions. Optimise databases and implement data validation and cleansing processes. As a Data Engineer, you’ll be a

We are looking for Data Engineers suitable for a group of world-class investment and trading firms that are actively expanding their data engineering functions. Each environment is highly technical, research-driven, and deeply data-centric — offering the opportunity to work on systems and pipelines that directly influence investment decisions. These positions sit within core data teams, responsible for building and maintaining the infrastructure that underpins everything from quantitative research to real-time trading and analytics. You’ll work closely with developers, data scientists, and researchers to ensure clean, accurate, and reliable data is available across the business. This is a fantastic opportunity for early-career engineers (1–5 years’ experience) who want to accelerate their development in an environment that values intellectual curiosity, technical depth, and end-to-end ownership. The Role • Design, build, and optimise data pipelines and ETL processes that feed critical research and trading systems., • Engineer scalable, automated solutions for data ingestion, cleaning, and validation across multiple structured and unstructured sources., • Collaborate with researchers, technologists, and analysts to enhance the quality, timeliness, and accessibility of data., • Contribute to the evolution of modern cloud-based data infrastructure, working with tools such as Airflow, Kafka, Spark, and AWS., • Monitor and troubleshoot data workflows, ensuring continuous delivery of high-quality, analysis-ready datasets., • Play a visible role in enhancing the firm’s broader data strategy and engineering culture. Candidate Profile • 1–5 years’ experience in data engineering, analytics, or automation, ideally within financial services, consulting, or a data-heavy technical environment., • Strong programming ability in Python (including libraries such as pandas and NumPy) and proficiency with SQL., • Confident working with ETL frameworks, data modelling principles, and modern data tools (Airflow, Kafka, Spark, AWS)., • Experience working with large, complex datasets from structured, high-quality environments — e.g. consulting, finance, or enterprise tech., • STEM degree in Mathematics, Physics, Computer Science, Engineering, or a related field., • Demonstrates curiosity, attention to detail, and a pragmatic, problem-solving mindset., • Enjoys collaborating across technical and non-technical teams in fast-paced, high-performance settings. Why This Opportunity? • Work at the intersection of data, technology, and finance, where clean engineering directly impacts business performance., • Gain exposure to cutting-edge data stacks and high-availability systems., • Collaborate with world-class technologists and quantitative researchers., • Structured progression — clear visibility into senior engineering or platform leadership paths., • Competitive compensation with bonus upside and exceptional learning curve.

Tech Lead | Azure, Terraform, Kubernetes | Bank-Grade Cloud Platform Build • £600-700 p/d (Outside IR35), • 5-month initial contract (extensions likely), • Hybrid: London (2 days/week on-site) The Role Join a newly formed Cloud Platform Engineering team building a greenfield Azure platform for a regulated banking venture. As Tech Lead, you’ll drive technical delivery across a team of ten engineers, staying hands-on while setting the standard for Infrastructure-as-Code, DevOps, and platform engineering. You’ll work at the intersection of architecture and delivery, ensuring solutions are built securely, efficiently, and to a consistently high standard. This is a hands-on technical leadership role, not a people management one. What They’re Looking For (Non-Negotiables) • Tech Lead / Principal Engineer experience on large-scale Azure platform builds, • Azure Cloud expertise (enterprise-scale landing zones, networking, security, governance), • Expert-level Terraform for modular, composable infrastructure-as-code, • Hands-on experience with Kubernetes in production environments, • Delivery leadership in DevOps-driven teams using GitHub Actions / Azure DevOps, • Proven ability to mentor engineers and embed technical standards, • Strong grasp of Kanban / continuous-delivery workflows What You’ll Work With • Azure Cloud: CAF enterprise-scale architecture, policy automation, governance, • Terraform: Modular provisioning, testing, and deployment patterns, • Kubernetes: Workload orchestration and container management, • CI/CD: GitHub Actions or Azure DevOps pipelines with end-to-end automation, • Event-Driven Architecture: Kafka or similar messaging systems, • Monitoring & Observability: Azure Monitor, Open Telemetry, Prometheus etc., • Secure-by-Design Practices: Policy as Code, automated validation, compliance controls Nice to Haves • Experience in regulated environments (banking, fintech, healthcare), • Background in Site Reliability Engineering or DevOps transformation, • Exposure to FinOps / cost optimisation, • Familiarity with Azure Enterprise Scale Landing Zones Accelerators, • Microsoft certifications (AZ-400 / AZ-305 or equivalent) Why Join / Projects This is your chance to shape a greenfield banking platform from day one, defining the standards, practices, and automation that will underpin a regulated enterprise cloud You’ll have genuine technical ownership, influence how a modern engineering culture takes root, and see your work directly impact a mission-critical delivery. (Option to extend or convert to permanent after initial term.) Tech Lead | Azure, Terraform, Kubernetes | Bank-Grade Cloud Platform Build

We are seeking an experienced AI Engineer to lead the integration and strategic application of artificial intelligence in our innovative financial management platform, tailored for sectors like super yachts and touring bands. This role demands expertise in defining AI strategies, identifying high-impact use cases, and establishing best practices to guide our technology team's direction and efficiency. In this position, you will define and execute the AI strategy, prioritizing use cases aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real-time expense optimization. You will integrate AI into the core platform using frameworks like Laravel or Symfony, ensuring scalability for web and mobile applications. Collaboration with developers, testers, and mobile engineers is key to embedding AI insights and building a unified ecosystem. You will promote best practices in AI development, governance, ethics, and integration, shaping our innovation roadmap. Additionally, you will optimize algorithms with tools like Python, TensorFlow, PyTorch, scikit-learn, and cloud services (e.g., AWS SageMaker), including data analysis, model training, and validation. You will address issues in model accuracy, bias, and integration, complying with data privacy regulations while supporting growth. Finally, you will track AI trends and recommend enhancements for competitive advantage. To excel, you must have proven expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices is required, along with knowledge of software principles, API development, CI/CD, and AI in financial contexts. Strong problem-solving, code quality focus, and collaboration skills are vital. We provide a competitive package with benefits, bonuses, and equity shares to encourage ownership in our success. Our leaders have built and sold software firms and held roles at Amazon and Microsoft. The role will be based from home so if you are looking for flexible working in an grown up environment where you are trusted and given the space to create something special, please get in touch. Venchr is an equal opportunity employer. We do not discriminate based on age, disability, gender reassignment, marriage and civil partnership, pregnancy, race, religion or belief, sex, or sexual orientation. All applicants will receive consideration for employment based on their talent, skillset and individual merit alone.

London | Hybrid/Remote | £70,000 - £90,000 + stock options + Benefits Company Overview We’re a fast-growing FinTech building fairer and smarter lending solutions. Using advanced machine learning and rich financial data, we create credit products that improve outcomes for individuals and small businesses. Our mission is to make lending transparent, responsible, and accessible—and our models are at the heart of how we achieve this. Joining us means you’ll be part of a collaborative, hands-on team where your work directly contributes to how we assess and manage risk. The Role As a Senior Machine Learning Engineer, you’ll take technical ownership of our credit risk model suite — iterating, optimising, and deploying production-ready ML systems that drive real-world impact. You’ll remain hands-on in design and experimentation while mentoring 1–2 junior ML engineers. You’ll collaborate closely with credit analysts, data scientists, and the wider engineering team to ensure our models are accurate, explainable, and seamlessly integrated into our lending platform. What You’ll Do • Lead the design, training, and optimisation of credit risk and behavioural models using Python and frameworks such as XGBoost and scikit-learn., • Responsible for creating proprietary data enrichment algorithms., • Guide the evolution toward a self-learning model framework, improving automation and adaptability over time., • Design and oversee feature testing and evaluation to enhance predictive performance and interpretability., • Use BigQuery and GCP tools (including CloudRun) to manage and process large-scale datasets efficiently., • Ensure models are explainable and compliant, collaborating with credit and risk teams to interpret outcomes., • Mentor junior ML engineers through code reviews, technical guidance, and project planning., • Work with software engineers to productionise models (deployment and pipelines handled by the engineering team)., • Stay ahead of emerging ML techniques and bring new ideas to improve scalability, performance, and transparency. What We’re Looking For • 4+ years of hands-on experience in applied machine learning (preferably in financial services or another regulated domain)., • Proven ability to design, train, and evaluate models using Python, XGBoost, and related ML frameworks., • Strong experience with SQL and BigQuery; familiarity with GCP infrastructure., • Comfortable working end-to-end from data exploration through validation and interpretation., • Understanding of explainable AI and model governance practices., • Exposure to model monitoring and drift detection frameworks., • Ability to guide and mentor junior engineers while remaining deeply hands-on., • Strong communicator who can bridge technical and non-technical discussions with credit, risk, and leadership teams. Nice to Have • Experience with MLOps tooling (e.g., MLflow, Airflow, Vertex AI, or similar)., • Familiarity with real-time decisioning systems or lending analytics. What We Offer • Ownership of the ML roadmap for a growing fintech with proven traction., • Opportunity to shape team direction while staying close to the code., • Collaborative, fast-paced culture focused on experimentation and impact., • Competitive salary, stock options, and benefits., • Hybrid working and flexibility. Interview Process • Recruiter Call – Introduction & background, • Technical Interview – Deep dive into ML design, feature engineering, and evaluation, • Practical Task – Model development or analysis challenge, • Final Interview – Team fit, leadership approach, and business alignment

Overview The Manufacturing Engineer will play a key role in supporting day-to-day production operations, including machine programming, process validation, and technical support to the manufacturing team. This position will focus on driving process improvements, enhancing manufacturing efficiency, and maintaining high standards of product quality through continuous improvement initiatives. Key Responsibilities • Assess new and existing technologies to develop and optimise manufacturing plans., • Maintain equipment functionality by performing basic maintenance and coordinating external servicing for major repairs., • Oversee maintenance records and troubleshoot production issues to minimise downtime., • Establish, implement, and sustain manufacturing processes for new products across their full life cycle., • Evaluate equipment and production methods with the goal of improving performance, efficiency, and reliability., • Create and validate automated machine programs., • Develop detailed process documentation and train production staff on updated procedures., • Provide advanced technical support to production teams to resolve complex issues., • Collaborate with Quality teams to analyse performance data, identify trends, and recommend corrective actions., • Use structured problem-solving techniques (e.g. root cause analysis) to address assembly and process issues., • Create and manage all manufacturing documentation in accordance with internal standards., • Perform additional related duties as required to support manufacturing operations. The Candidate Degree-qualified in Mechanical, Manufacturing, or a related Engineering discipline (BEng preferred). Strong understanding of Design for Manufacture (DFM) principles. Knowledge of lean manufacturing and continuous improvement techniques. Ability to read and interpret technical drawings, electrical schematics, and assembly documentation. Experience using ERP/MRP systems in a production environment. Capable of working under pressure and meeting tight deadlines. Excellent communication skills, with the ability to collaborate across teams and departments. Strong organisational skills with the ability to prioritise multiple projects effectively. Familiarity with project management methodologies is advantageous. The Package Salary: From £40,000 per annum, depending on experience.

Software Engineer- London BioOrbit is pioneering space-based drug manufacturing. We use microgravity to grow high-quality protein crystals, enabling easier, at-home injectable therapies. As part of our recent success we are looking to grow our team. Position Overview We are seeking an experienced Software Engineer with specialized expertise in payload software development to create autonomous control systems for revolutionary in-orbit pharmaceutical manufacturing platforms. This role focuses on developing mission-critical flight software that must operate reliably in the harsh space environment while controlling precise pharmaceutical manufacturing processes in microgravity. You will be responsible for designing and implementing sophisticated software architectures that enable autonomous pharmaceutical production, real-time process monitoring, and fail-safe operation throughout all mission phases. This position offers the extraordinary opportunity to pioneer flight software for an entirely new industry—space-based pharmaceutical manufacturing—where software reliability, autonomous operation, and precision control are essential for producing life-saving medications beyond Earth. Key Responsibilities • Design and develop flight-qualified payload software for autonomous pharmaceutical manufacturing systems, including process control algorithms, data acquisition systems, and real-time monitoring capabilities for microgravity operations., • Lead software integration and comprehensive testing of payload systems, including hardware-in-the-loop testing, software verification/validation, and flight software qualification according to space industry standards., • Implement robust software architectures with fault tolerance, autonomous recovery capabilities, and fail-safe mechanisms to ensure reliable pharmaceutical production in space environments., • Develop ground support software and user interfaces for mission planning, payload operations, and real-time system monitoring during space missions., • Oversee software deployment and maintenance across development and production environments, implementing DevOps practices, version control systems, and automated deployment pipelines., • Provide comprehensive user support and system optimization, including troubleshooting, performance monitoring, and proactive maintenance of critical systems., • Lead digital transformation initiatives, evaluating and implementing new technologies, software platforms, and IT solutions to enhance operational efficiency., • Create and maintain technical documentation for both payload software systems and IT infrastructure, including software requirements, system architectures, and operational procedures., • Drive technical collaboration across engineering teams through code reviews, system integration meetings, and technical presentations to stakeholders and senior management. Technical Skills + Core Competencies • Proficiency in embedded programming languages (Python, C/C++, MATLAB) and space payload development frameworks with extensive real-time system experience., • Expertise in payload software development, including embedded systems programming, real-time operating systems (RTOS), and flight software architecture patterns for mission-critical applications., • Comprehensive knowledge of software verification and validation processes for space applications, including unit testing, integration testing, formal verification methods, and software quality assurance., • Working knowledge of ECSS standards for space software development (ECSS-E-ST-40C, ECSS-Q-ST-80C) and space software qualification processes., • Advanced experience with spacecraft communication protocols, telemetry/telecommand systems, and space-to-ground data interfaces for mission operations., • Strong background in autonomous control systems, including machine learning algorithms, adaptive control theory, and decision-making frameworks for space applications., • Expertise in pharmaceutical process control software, including batch control systems, process monitoring algorithms, and quality assurance automation preferred., • Proficiency in software simulation and modeling tools for testing flight software in simulated space environments and pharmaceutical process validation., • Experience with safety-critical software development, including hazard analysis, software safety requirements, and fault-tolerant software design patterns., • Advanced debugging and diagnostic capabilities for complex embedded systems with experience in hardware-software integration and troubleshooting., • Strong project management skills with experience leading flight software development projects from requirements through mission operations., • Excellent technical communication abilities with experience presenting complex software architectures to multidisciplinary engineering teams and mission stakeholders. Required Qualifications • Bachelor's degree in Software Engineering, Computer Science, Electrical Engineering, or related field., • 3-5 years of experience in software development, payload systems, or related technical role., • Experience with embedded software development and IT system management projects., • Preference for candidates with space systems or satellite payload software experience., • Knowledge of ECSS standards (ECSS-E-ST-40C, ECSS-Q-ST-80C) preferred This is an exciting opportunity to join a team that is at the forefront of innovation and pushing the boundaries of in space manufacturing. If you feel this role is of interest, please apply and one of the team from Innoforge will be in touch. Unfortunately, sponsorship cannot be provided for this position

Data Engineer — Hedge Fund (L/S Equity) | London A fundamentally driven long/short equity fund focused on the European Industrials sector is seeking a Data Engineer for a variety of greenfield development. Founded by a former Citadel portfolio manager, the team brings together expertise from leading global institutions such as Citadel, DE Shaw and Millennium. They combine rigorous data analysis with industry insight to anticipate industrial cycles ahead of the market, acting decisively when conviction and evidence align. Role Overview We are seeking a highly skilled Data Engineer to design, build and maintain the core data infrastructure powering the investment and risk processes. This is a fully hands-on role within a small, high-calibre team, offering significant impact and ownership. You will develop robust, production-grade ETL pipelines, manage cloud-based and on-prem data environments, and integrate diverse datasets from external vendors, trading systems and internal sources. The role also involves implementing automated data validation processes, optimising data quality and performance, and ensuring high availability across all systems. Working closely with the portfolio manager, researchers and engineers, you will enable data-driven decision-making through well-structured, scalable systems. You should be comfortable operating independently across the full data lifecycle — from ingestion and transformation through to analytics delivery and monitoring. Qualifications • 5–10 years’ experience in data engineering or related roles, • Proven background at a leading finance or big tech firm, • Strong hands-on expertise in Python and modern ETL frameworks, • Experience designing and maintaining cloud-based data pipelines (e.g. AWS, Airflow, Snowflake), • Deep understanding of data modelling, validation, and pipeline resilience, • Familiarity with financial or alternative datasets preferred

Product Development & Applications Technician Location: Kent, UK (Primarily office-based with UK-wide travel) Employment Type: Full-Time Industry: Automotive / Vehicle Electronics / Engineering Overview A leading engineering organisation within the vehicle safety and automotive technology sector is looking for a Product Development & Applications Technician to join their expanding technical team. This is a fantastic opportunity for a hands-on technician or engineer from an automotive background (ideally with HGV experience), who enjoys working on real-world product applications, installations, and field testing. The successful candidate will support the development and testing of cutting-edge electronic safety products, with a particular focus on how these systems are installed and integrated into vehicles across a wide range of commercial applications. The Role Working closely with product development teams, the technician will provide practical input to the design, testing, and application of new vehicle safety technologies. You’ll play a key part in improving product integration and installation processes, helping reduce time and cost for end users while enhancing performance and reliability. Although the role is primarily office/workshop-based, it involves regular UK site visits, including trials on customer vehicles and testing in real-world environments. Key Responsibilities • Conduct technical product testing, evaluation, verification, and validation., • Provide expert input on vehicle integration and practical installation challenges., • Lead or support installation and configuration of systems on vehicles during development trials., • Recommend product or documentation improvements to enhance real-world usability., • Collaborate with internal teams and external partners to deliver robust application solutions. Key Tasks • Benchmarking, teardown, and analysis of vehicle safety systems., • Troubleshooting and diagnosis of system issues in both lab and vehicle environments., • Electrical and mechanical prototyping and modifications., • Participate in engineering reviews and project meetings., • Deliver technical support and training both remotely and in-person. Candidate Requirements • Proven experience working hands-on with vehicle electrical systems, ideally HGV or commercial vehicles., • Confident in installation and fault-finding of automotive electronics., • Basic understanding of analogue/digital circuits and communication protocols., • Familiarity with diagnostic tools and standard workshop equipment., • Proficient in Microsoft 365 and common desktop applications., • Self-motivated, detail-focused and practical, with strong problem-solving skills., • Willingness to travel across the UK and work flexibly when needed., • Excellent communication skills – both verbal and written., • Full UK driving licence required.

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).

Role: Mid-level Electronics Engineer Location: London, UK Salary: £45,000 – £55,000 depending on experience Job Type: Onsite Sponsorship is Available Main skills we are searching for: • Proven experience in circuit design from concept through to validation and production release, • Strong background in digital electronics, including FPGAs (VHDL), microcontrollers, and serial interfaces (SPI, I²C, Ethernet), • Solid understanding of analogue electronics, including op-amps, filters, DC-DC converters, ADCs, and DACs, • Proficiency in schematic capture and knowledge of PCB layout and manufacturing processes, • Familiarity with electro-optic technologies, such as lasers, modulators, and PIN detectors If you are interested in this role and would like to discuss it further, please send your updated CV to or call 01182284110 to learn more about the position and review the full job specification.

A leading global investment firm is seeking a Market Data Engineer to join its London-based team and help build robust, scalable tick data infrastructure that powers systematic trading strategies across asset classes. This is a high-impact engineering role focused on designing and optimizing real-time and historical market data pipelines in a cloud-native environment. You'll work closely with trading and quant teams to ensure data is clean, fast, and accessible - enabling research, signal generation, and execution at scale. What You'll Do • Build and maintain high-performance tick data pipelines for ingesting, processing, and storing large volumes of market data., • Work with time-series databases (e.g., KDB, OneTick) and Parquet-based file storage to optimize data access and retrieval., • Design scalable cloud-native solutions (AWS preferred) for market data ingestion and distribution., • (Bonus) Integrate Apache Iceberg for large-scale data lake management and versioned data workflows., • Collaborate with trading and engineering teams to define data requirements and deliver production-grade solutions., • Implement robust data validation, monitoring, and error handling to ensure data integrity and uptime., • Continuously improve latency, throughput, and scalability to support high-frequency trading environments. What You Bring • 4+ years of experience in software engineering, with a focus on market data systems., • Strong Python skills and familiarity with cloud platforms (AWS, GCP, or Azure)., • Experience with tick data and building tick data pipelines., • Proficiency with Parquet-based file storage; Iceberg experience is a plus., • Familiarity with Kubernetes, containerization, and modern orchestration tools., • Experience with time-series databases (KDB, OneTick) and C++ is a plus., • Strong problem-solving skills and a collaborative mindset., • Understanding of financial markets and trading concepts is beneficial. This is a chance to build foundational infrastructure that directly supports alpha generation. You'll work in a fast-paced, collaborative environment where engineering excellence drives trading performance. If you're passionate about market data, scalable systems, and working at the core of systematic investing - we'd love to hear from you.

System Optimisation Engineer | London | Hybrid | Upto £80K DoE Are you an Engineer or recent PhD graduate who has experience in engineering, Optical or AI/ ML Systems and test frameworks for the optimisation of AI platforms? Then this might just be the role for you! We are working with a disruptive London-based Computer Networking company who are working on the cutting edge of AI and Machine learning technology with applications for increased productivity in Data centres and HPCs. Responsibilities: • Design automated test frameworks for optical networks using Python, C++, • Develop integrated hardware solutions across network systems using hardware instruments, BERTS, Burst-mode test, and oscilloscopes., • Engineer optimisation algorithms as part of the test framework platform and metaheuristic algorithms, • Support across the validation of testing, and analysis of data for improvement, • Collaborate with cross-functional teams of hardware, software, embedded and electronic engineers. Skills: • Software scripting and Automation experience using Python, C++, C#, • Experience in generating and scripting algorithms for AI/ML applications, as well as Metaheuristic optimisation., • Understanding of cloud-based environments and data pipelines., • Degree in either Computer Science, Electrical/Electronic, or related. What’s in it for you? • Up to £80k DOE, • Lucrative stock options., • 25 days holiday + bank holidays., • Hybrid working., • Relocation assistance., • Visa sponsorship provided.

Are you a hands-on Test Engineer with a passion for ensuring quality, safety, and compliance in medical technology? We’re working with an innovative Class I medical device manufacturer seeking a Senior Test Engineer to join their growing R&D and engineering team. In this role, you’ll take ownership of verification and validation activities, supporting the development of life-enhancing products from concept through to regulatory submission. Key Responsibilities: • Plan, execute, and document verification & validation (V&V) testing for new and existing medical devices., • Design and implement mechanical and electro-mechanical test setups., • Collaborate closely with mechanical design and development engineers to refine test protocols and ensure design intent is met., • Support compliance activities in line with MDR, ISO 13485, and other relevant standards., • Analyse test data, identify root causes, and propose design or process improvements. Skills & Experience: • Degree (or equivalent experience) in Mechanical Engineering, Biomedical Engineering, or related discipline., • Proven experience in test engineering within the medical device sector (Class I preferred)., • Strong understanding of electro-mechanical systems, mechanical design principles, and engineering validation methods., • Knowledge of MDR, ISO 13485, 62304, 60601 and useability standards such as ISO 62366, • Practical experience with mechanical and functional test rigs, instrumentation, and data acquisition tools.

We are seeking a Data Centre Lead Commissioning Engineer to take a central role in the delivery of world-class mission-critical infrastructure. In this position, you will lead commissioning activities for advanced HVAC, electrical, and control systems within cutting-edge data centres across the London area, ensuring every system operates to the highest standards of efficiency, safety, and reliability. This is a unique opportunity to combine technical expertise with leadership, contributing to projects that power the digital world and support the backbone of global technology. Candidate Profile: Technical Expertise: HVAC practical experience or a degree in Mechanical Engineering, plus relevant mechanical/electrical certifications. F-Gas qualification is a strong plus. Industry Experience: 3+ years commissioning HVAC/electrical systems in construction or critical infrastructure. Data centre experience and familiarity with ASHRAE L1–L5 commissioning stages are highly desirable. Skills & Knowledge: Proficient in system testing, troubleshooting, and performance validation. Strong grasp of airflow principles, technical drawings, and commissioning documentation. Safety & Compliance: Knowledge of electrical safety standards including LOTO procedures. CSCS card required; SSSTS/SMSTS and other certifications are a bonus. Tech Savvy: Comfortable with Office365 and document control platforms. Experience with MODBUS and BMS systems is advantageous. Mobility & Adaptability: Willingness to travel across EMEA, work at height/in confined spaces, and perform physical tasks. A full driving license is essential. Key Responsibilities: • Leading commissioning activities across data centre sites, ensuring timely and high-quality delivery., • Overseeing equipment delivery, installation, and handover in line with project specifications., • Executing commissioning scripts and validating HVAC and electrical system performance., • Collaborating with our internal project teams, contractors, and clients to maintain safety, quality, and technical standards., • Managing documentation, including RAMS, HSE reports, test logs, and commissioning schedules., • Identifying and communicating risks related to resources, timelines, and budgets., • Supervising deep cleaning operations and ensuring client satisfaction. Benefits & Career Growth • Competitive Salary, • 25 Holiday (+ Bank Holidays & Holiday Purchase Scheme), • Pension Scheme, • Life Assurance Scheme, • Cycle to Work Scheme, • Long Service Awards, • Employee Assistance Programme & Mental Health Support, • Learning & Development Opportunities If you’re ready to take on a pivotal role in shaping world-class data centres, we’d love to hear from you

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.

Halian is proud to partner with a leading medical device innovator based in London in their search for a Senior Systems Engineer. This is a pivotal role within the growing R&D team, driving both new product development and sustaining engineering for life-supporting technologies. As a Senior Systems Engineer, you’ll be at the forefront of shaping technical architecture, optimising engineering processes, and ensuring regulatory compliance across complex systems within Medical Devices. This is a fantastic opportunity to make a tangible impact in a regulated, high-reliability environment. Key Responsibilities: • Lead the definition and execution of technology roadmaps aligned with long-term business goals., • Own system architecture and feasibility assessments for assigned products., • Translate stakeholder needs into robust system requirements and design documentation., • Drive engineering governance activities including Critical Design Reviews (CDRs)., • Collaborate with V&V teams to support defect triage, issue resolution, and validation., • Monitor regulatory changes and ensure compliance with standards such as IEC 60601, IEC 62304, and ISO 14971., • Conduct risk management activities including FMEA and hazard analysis., • Champion continuous improvement across engineering tools and processes. Required Experience & Qualifications: Essential: • Bachelor’s degree in biomedical, mechanical, electrical, or systems engineering (or equivalent)., • Strong background in high-reliability systems., • Deep understanding of ISO 14971 and IEC 62304 standards., • Proven experience in systems engineering disciplines: requirements, architecture, design, V&V, and release., • Familiarity with ISO/IEC/IEEE 15288 lifecycle within regulated product development., • Comfortable working in cross-functional teams and dynamic project environments. Desirable: • Experience in ISO 13485-compliant environments., • Knowledge of real-time control systems and embedded platforms., • Experience in IEC 60601-1, • Strong communication and collaboration skills across engineering, quality, and clinical teams.

Senior BMS / MEP Validations Engineer – London - £65,000 RGB are representing a fast-growing building services engineering consultancy entering its next phase of expansion. Since launching in 2020, the company has seen rapid growth across its Design, Energy & Sustainability, and Commissioning Management teams and is now developing its operations division, with a focus on Validations. This is a pivotal moment to get involved, working alongside senior leaders who have a track record of building high-performing technical teams. We're seeking a technically strong, motivated engineer ready to take ownership, shape a growing division, and play a key role in the company’s continued success. Salary package: • £50,000 - £65,000 – Plus performance bonus, • 25 Days Holidays, • Annual salary review, • Opportunities for training, mentoring, and personal development, • Direct access to senior leadership and involvement in major projects, • Progression Key Responsibilities • Lead the preparation of validation activities, including permits, access logistics, and RAMS, ensuring all documentation is in place and aligned with project requirements., • Carry out thorough inspections of Mechanical, Electrical, and Public Health systems, identifying issues, assessing performance, and documenting findings with detailed commentary and supporting photos., • Work collaboratively within the team, effectively sharing responsibilities and providing guidance to junior engineers and subcontractors., • Manage third-party vendors during site activities, ensuring compliance with quality, safety, and schedule expectations. Act as a professional representative in client meetings and on-site engagements., • Produce accurate, well-structured validation reports using Microsoft Office tools. Track progress, record actions, and provide clear, actionable recommendations., • Monitor project timelines, identify risks or delays, and support the alignment of validation tasks with broader programme milestones., • Feed validation outcomes into the design process by identifying required system upgrades or replacements. Support commissioning phases during project redevelopment or fit-out works. About The Company: The company’s work spans the full project lifecycle, from early-stage design and energy strategy through to commissioning and post-occupancy validation. Its structure is built around four key divisions: • MEP Design, • Energy & Sustainability, • Commissioning Management, • Operations & Validations Requirements • Strong working knowledge of BMS platforms (e.g. Trend, Siemens, Schneider, Honeywell), • Proven track record in system validation, commissioning, or technical surveying, • Excellent written and verbal communication skills, with strong reporting ability, • Willingness to travel Be Part of the Next Chapter If you are an experienced engineer who wants to take ownership of your work, help build a team, and play a key role in shaping the future of a rapidly expanding consultancy, we would love to hear from you. Apply now or get in touch with the leadership team for a confidential discussion.

Purpose of the Role To help ensure Quantum’s cloud infrastructure and corporate IT systems are secure, scalable, and resilient. This role combines deep technical ownership of Microsoft Azure and related platforms with responsibility for maintaining a strong internal IT and security foundation. We are looking for a hands-on Cloud Engineer who can manage infrastructure, automation, and compliance while keeping Quantum’s systems reliable, efficient, and well-documented in a fast-moving fintech environment. Key Responsibilities Cloud Infrastructure & Platform Engineering · Design, build, and operate Azure environments including Container Apps, Kubernetes, Postgres, Redis, Event Hubs, Kafka, Storage, and Vercel, ensuring high performance, security, and cost efficiency. · Define and maintain governance planning and access control, including granular permission structures, RBAC, and least-privilege configurations across all resources. · Build and manage infrastructure using Terraform and Azure CLI, enabling consistency, traceability, and automated change control. · Implement strong observability and compliance frameworks (metrics, logging, tracing, and audits) to guarantee visibility, reliability, and adherence to high-regulation standards. · Support and automate development, staging/UAT, and production environments with robust deployment pipelines, rollback strategies, and smoke testing. · Collaborate with development, data, and product teams to automate workflows, deployments, and testing, ensuring consistency and scalability across environments. · Establish and maintain disaster recovery (DR) and business continuity strategies with automated validation and detailed recovery documentation. · Maintain clear, well-structured documentation for architectures, deployments, and operational procedures, fostering transparency and long-term maintainability. Security & Risk Management · Implement and maintain cybersecurity controls, including MFA, conditional access, endpoint protection, encryption, and vulnerability remediation. · Oversee secure authentication workflows and alignment with compliance frameworks across cloud and internal systems. · Lead incident response and post-incident reviews to strengthen operational resilience. · Conduct periodic security and compliance audits, ensuring continuous adherence to internal standards and external requirements. · Promote a proactive culture of security awareness, accountability, and documentation throughout the organisation. Corporate IT & Internal Systems · Manage corporate systems and licences (Microsoft 365, Entra ID, VPNs, DevOps, Revolut access). · Oversee Entra ID management, including group policies, access reviews, and conditional access rules for both cloud and internal environments. · Manage endpoint configuration and compliance using Microsoft Intune, Apple MDM, and Windows Autopilot, ensuring devices are encrypted, patched, and policy-compliant. · Handle onboarding/offboarding, laptop setup, and permissions management through secure, automated workflows. · Maintain comprehensive documentation and inventories of IT assets, configurations, and access permissions. · Support secure remote and hybrid work environments through Azure Virtual Desktop (AVD) and Cloud PCs. · Continuously improve IT processes through scripting, automation, and integration with other systems and tools.

Avionics Engineer | Space Systems | Hardware, Autonomy, and Innovation We’re working with a pioneering deep-tech company building autonomous spacecraft systems that can sense, think, and act independently in orbit. Their hardware enables satellites to operate with intelligence and resilience in space, supporting missions that push the boundaries of autonomy and protection in orbit. If you love designing complex electronics for real-world environments and want to be hands-on across design, integration, and testing, this could be your next big step. What You’ll Be Doing • Designing and laying out high-speed and mixed-signal PCBs for advanced space systems, • Conducting hardware bring-up, validation, and debugging using oscilloscopes, logic analysers, and other test tools, • Building and maintaining electrical harnesses and assemblies for both flight and development hardware, • Collaborating with mechanical, software, and systems teams for seamless integration, • Supporting qualification testing for EMC, vibration, and thermal environments What You’ll Bring • BEng/MEng in Electrical Engineering or equivalent hands-on experience, • Strong experience in PCB design, layout, and hardware testing, • Confident using lab tools for debugging and performance testing, • Comfortable with electrical assembly, soldering, and harness fabrication, • Strong understanding of high-speed interfaces and signal integrity Nice to Have • Experience designing carrier boards for Linux-based SoCs, • Familiarity with NVIDIA SoCs or embedded Linux platforms, • Exposure to FPGA integration or simulation workflows, • Knowledge of space-rated electronics and fault-tolerant design Why This Role • Fast-paced, young start-up culture where you’ll make a direct impact, • Genuine autonomy to innovate and work hands-on, • A chance to help shape the future of intelligent spacecraft systems

Hello! We're looking for an awesome Optical Instrumentation Engineer to join our team on our journey to revolutionize personalized medicine. • System design & assembly: Personally design, build, align, and calibrate novel optical analytical instruments (e.g., Raman, FTIR, fluorescence, scattering) from concept and component selection through to bench assembly and validation., • Hands‑on prototyping: Solve optical/mechanical design challenges, design custom components/fixtures, and iterate rapidly to hit performance targets., • Systems integration: Integrate optics with detectors/light sources, motion/actuation, electronics, fluidics, and software control to deliver fully functional prototypes., • Testing & validation: Plan and execute experiments; analyze data to troubleshoot and optimize SNR, resolution, stability, dynamic range; own verification against specifications., • Technical guidance: Serve as in‑house subject‑matter expert for spectroscopy—advise on component selection (gratings, filters, objectives, fibers, detectors), system architecture, and experimental methodology., • Documentation & knowledge transfer: Maintain design files, BOMs, alignment procedures, and test reports; ensure reproducibility; support IP filings and hand‑off to manufacturing., • Cross‑functional collaboration: Work closely with scientists, assay developers, data scientists, and QA/RA to ensure instruments meet biological, analytical, and regulatory needs., • Safety & compliance: Uphold lab/laser safety; support design controls and documentation aligned with ISO 13485 (and related standards when in scope)., • Innovation: Track advances in spectroscopy/optics; prototype and evaluate new architectures to push platform capability. This role is based in London and collaborates with teams in the UK and abroad. Qualifications • An advanced degree (PhD or exceptional MSc) in Physics, Optics/Photonics, Nanoscience, or related engineering field., • 3+ years industry experience designing, building, and operating complex optical systems from scratch in a lab environment., • Deep, practical knowledge of Raman/FTIR/fluorescence/scattering instrumentation and how to build/align such systems., • Strong hands‑on skills in opto‑mechanics, precision alignment, stray‑light control, and thermal/vibration management., • Experience with data acquisition & control (e.g., Python/Matlab/C++/LabVIEW, pyVISA; motion stages/controllers)., • Plus: Familiarity with optical & mechanical CAD (e.g., Zemax/OpticStudio, SolidWorks/Onshape) and tolerance analysis., • Plus: experience maturing prototypes toward production (DfX, manufacturability, reliability), and mentoring junior engineers/scientists., • Advantageous: fiber optics, micro‑optics, microfluidics, laser safety, electronics, and signal processing/statistics. Cultural Skills ✔️ • Builder’s mindset: hands‑on, resourceful, and relentless about quality., • Low‑ego collaborator who elevates a multidisciplinary team., • Mission‑driven and patient‑centered, comfortable in a fast‑paced startup. iLoF in a nutshell 💡 As personalized medicine becomes the norm, scientists, patients, and healthcare systems worldwide face massive barriers in providing the right treatment to the right patient. Recognized by CB Insights and Financial Times as one of the most promising Digital Health companies in the world, iLoF is building an AI-powered platform capable of transforming precision medicine. Our goal is to become the platform that democratizes access to personalized medicine for millions of people living with complex diseases around the globe. Thanks to our proprietary optical fingerprint library of disease biomarkers and biological profiles we can offer personalized patient screening and stratification in a faster and more affordable way, saving up to 40% of the cost and 70% of the time while enabling a more human patient experience. Supported by leading institutions like Microsoft Ventures, Mayfield, and the Oxford University, iLoF is currently focusing on validating its platform technology in one of the biggest challenges of our times: Alzheimer's, while maintaining ongoing verticals on Digestive Cancer, Stroke, and Infectious diseases. Our Team 🧑🏻‍💻 We are a mix of scientists, entrepreneurs, and inventors based in Oxford and Porto, with a passion for healthcare! Recognized by CB Insights as one of the most promising Digital Health companies in the world and by the Financial Times as a Transformational Business in Healthcare, iLoF has been regularly featured in leading outlets like Tech Crunch, Wired, and Sifted and listed as a rising star in AI-Driven Drug Discovery, Health Screening & Data Analytics. What we value • A Be Kind attitude is the main guideline within iLoF, • A hand in the hammer and another free to support your co-workers as a true team player, • An honest and egoless attitude towards discussions and critics working in good faith, • The braveness to speak your heart in any situation, • Through words or actions be always sure to make a difference at any moment!, • Be proud to drive your responsibilities to success and help others do the same, embracing ownership! Perks 😉 • An exciting future with a deep-tech company selected by Financial Times and CB Insights as one of the most transformative companies in the world, • A high‑paced, flexible environment: adaptable working hours, strong remote work culture, • A stimulating atmosphere with room for creativity – fast‑paced, fun, and energetic start‑up with a friendly culture, • Weekly happy hours with amazing food and drinks, • Free coffee and snacks ☕, • Private healthcare insurance (for employees; contractor benefits to be agreed), • The opportunity to work with a world‑class, talented team – and potentially change healthcare as we know it for millions of patients living with complex diseases around the globe 🧑‍⚕️ We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, click the apply button and join us. You’ve read all this way but you’re missing a skill or two? No problem, it’s our job to upskill you to take your career to the next level. What we’re trying to say is, don’t be afraid to apply if you don’t tick all the boxes.

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!

Mechanical Design Engineer (CAD Tooling) – SE London – circa £40 to £50.00 per hour DOE (Umbrella) – Long Term Contract Job Description: Our client is seeking an experienced Mechanical Design Engineer to play a key role in the industrialisation and introduction of cutting-edge submerged products into production. This long-term contract offers the opportunity to lead on defining, designing and validating complex tooling and equipment solutions, ensuring efficient assembly processes that deliver exceptional quality and reliability. Key Responsibilities: • Lead collaboration with Supply Chain and R&D teams to support the industrialisation of new products., • Define, design and optimise tooling and equipment, including jigs, lifting fixtures and workstations, for efficient assembly and testing., • Recommend and implement alternative tooling solutions to improve efficiency, safety and reliability., • Use Creo CAD to develop and model advanced tooling concepts., • Present tooling solutions and influence key stakeholders., • Identify and source external equipment to strengthen production capabilities., • Manage relationships with tooling manufacturers to ensure delivery, compliance and quality standards are met., • Inspect and validate new tooling against specification, calibration and inspection requirements., • Oversee tooling validation and qualification model builds. Requirements: • Degree (or equivalent) in Mechanical/Manufacturing Engineering., • Proven track record in designing tools, fixtures and equipment for complex assembly/manufacturing environments., • Proficiency in Creo CAD preferred., • Strong ability to apply reliability engineering judgement., • Experience with FEA (Ansys) for stress/simulation analysis., • Significant experience in technical/manufacturing environments, ideally within high-reliability sectors., • Excellent interpersonal, communication and leadership skills. How to apply: To apply for this excellent opportunity, please send your CV via Linkedin

Engineering Manager If you are interested in working on a small site that gives you a hands on, varied leadership role, this could be the perfect next opportunity for your career. With a number of exciting business wide initiatives from new product introductions and operational increases, through to expansions and new site launches, this leading pharmaceutical business is in a very exciting period of growth and transition. This specific hire is for their site in South London / North Surrey and will take full accountability for a small team and be responsible for maintenance, servicing and take a strong involvement in engineering projects. To take on this role you do not needto be an engineering veteran – it’s a two person team and therefore the key is that you can get stuck in and are willing to take on a number of the duties directly on a day to day basis. Full training will be provided in the pharmaceutical equipment and processes. The standard hours are 7am to 3pm Mon-Fri – but you need to be flexible as there will be call outs (including nights and weekends). Overtime/TOIL is available. For further information please contact Mark Bux-Ryan. Key experience: • Minimum of 2 years hands on experience in a hands on engineering / maintenance setting – must be within manufacturing., • Pharmaceutical and/or GMP experience would be a nice to have but is not essential, • Supervisory experience ideal but not essential if you have the depth of technical experience and the capability to manage, • Must live (or be willing to live) within one hour of the facility due to call out requirements, • Mechanical and electrical engineering capability would be beneficial Engineer, maintenance, service, field, site, mechanical, electrical, CQV, validation, project, team, leader, supervisor, senior, engineering, manufacturing, chemical, food, pharma, GMP