Trabajos validation engineer en Reino Unido

The Role • We’re looking for a Sr. Electronic Engineer to design and implement electronic components and systems that power the development of innovative consumer health and wearable products. This is a hands-on role focused on bringing innovative hardware from concept through production, working at the intersection of electronics, embedded systems, and product development. You’ll collaborate closely with cross-functional teams to deliver high-performance, reliable, and scalable solutions., • Hybrid working – ORB office is located next to Old Street Station, London. Key Responsibilities • Lead hardware prototyping, testing, and validation — including component selection, schematic design, PCB layout, and lab testing., • Troubleshoot and debug electronic systems using lab equipment such as oscilloscopes, logic analysers, and multimeters., • Work closely with firmware, software, mechanical, and data teams to integrate electronics into complete product systems., • Evaluate new technologies, components, and architectures for future product designs., • Collaborate with external PCB manufacturers and assembly partners to support prototyping, DFM improvements, and production readiness., • Write prototype firmware or test drivers in C to validate sensors and hardware functionality., • Design PCB schematics and layouts using EDA tools such as Altium Designer., • Partner with firmware engineers on hardware–software integration across sensors, wireless modules, and communication interfaces., • Create and manage Bills of Materials (BOMs), supporting component selection, lifecycle management, and cost optimisation., • Develop validation procedures, test setups, and internal tools to support hardware development., • Stay current with developments in embedded electronics, wireless systems, and wearable technologies. We’re looking for someone who has • Bachelor’s degree in Electronic Engineering or a related field required; Master’s preferred., • 7+ years of experience designing and developing electronic hardware., • Demonstrated ability to independently deliver complex electronic design within multidisciplinary product development teams., • Strong background in analog and digital circuit design, including microcontrollers, sensors, and wireless communication., • Experience working with Bluetooth (including BLE) and wireless embedded systems., • Experience writing or modifying embedded C for hardware testing or sensor integration., • Experience with Python for testing, automation, or data analysis., • Track record of bringing electronic products from concept to production, ideally in wearables or connected devices., • Experience working with PCB manufacturers and assembly vendors, including DFM and production support., • Experience creating and managing BOMs, including component selection and lifecycle management., • Bonus – Experience with wireless charging., • Bonus – Experience with basic 3D printing. About ORB Founded in 2017, ORB Innovations exists to empower people to be their best selves through technology, unlocking meaningful, data-driven insights to improve performance, wellness, and health. ORB was acquired by Glidewell, a leading US-based dental laboratory in 2023. This strategic partnership is accelerating our R&D, commercialisation and global distribution efforts. In 2024, we launched our first product, the ORB Sport Smart Mouthguard, in the US market. Designed for athletes in contact and combat sports, it delivers insights into heart rate, movement, and head impact exposure. Building on this momentum, we’re expanding our product portfolio within sports performance and entering the sleep technology space, developing solutions for those affected by sleep disorders. Perks • Hybrid working, • BUPA Health Insurance, • BUPA Dental Insurance, • Illness/Injury Income Protection, • Life Insurance, • Travel Insurance, • 33 days’ holiday a year, including bank holidays, • Free office snacks including fresh fruit, tea, coffee and more, • Learning & training opportunities and resources, • Opportunity to test all the latest competitor wellness and fitness products

Principal Electrical Design Engineer - Protection & Control Scotland Region Permanent – Full Time, hybrid Salary Competitive + Car Allowance + Flexible Benefits Summary: This role involves designing and overseeing the implementation of protection schemes, control systems, and related equipment to ensure the safe and reliable operation of power networks, substations, and Transmissions and Distribution electrical infrastructure. Position requires technical expertise and vast experience working in Transmission and Distribution sector for protection & control and Substation Automation system/SCADA design (from 11kV up to 400kV). Candidate should lead the design and specification of protection and control systems for electrical substations, powerplants, and transmission/distribution networks. Roles & Responsibilities: • Candidate is responsible to develop protection settings, relay PSL files, coordination studies, including fault detection and isolation strategies., • Candidates should have complete knowledge of all TSO/DNO standards & specifications with respect to P&C Design & Calculations, as well as overall Substation Design Works. He/She should ensure compliance with relevant national and international standards (e.g., IEC, BS, IEEE) in protection system design., • Candidate should have good knowledge of substation primary design and substation equipment/switchgear specifications. He/She should ensure that the design meets safety standards and regulatory requirements, incorporating protection against electrical hazards, arc flash, and other safety concerns., • Design, implement and maintain SCADA/communication systems for a variety of clients in sectors including utilities, oil and gas, manufacturing, industrial automation and various other communication networks., • Configure and optimize network infrastructure & communication protocols such as IEC 61850; Distributed Network Protocol (DNP 3); Parallel Redundancy Protocol (PRP); Precision Time Protocol (PTP); Network Time Protocol (NTP); Simplified Network Time Protocol (NTP), Modbus, OPC, Profibus, etc for seamless integration with field devices, including RTUs, PLCs, IEDs, etc, also ensure stable connectivity between SCADA centres & remote sites, and configure secure VPNs & remote access protocols to allow for safe, off-site monitoring and control., • Understand client requirements & produce network architecture philosophy diagram, IED telecommunication diagram, SCADA & Telecommunications Panel design, Network IP allocation, I/O Schedules, Cable & Core schedules, etc., • Assist with the setup and commissioning of SCADA systems at client sites, troubleshoot field devices and network communication issues, perform preventive and corrective maintenance on SCADA infrastructure and associated hardware., • Efficiently design/develop the SCADA/communication systems (e.g., Ignition, Siemens WinCC, GE iFIX, etc) to ensure real-time data acquisition and control for critical infrastructure., • Provide remote support for troubleshooting SCADA system and network issues, ensuring minimal downtime and swift resolution of critical incidents., • Conduct system upgrades, testing, and validation for new features, components, and patches., • Implement cybersecurity measures to safeguard SCADA systems against emerging threats., • Collaborate with cross-functional teams to ensure smooth integration and deployment of SCADA systems., • Candidate should have experience in tendering, pricing jobs, proposal creation. Candidate should be actively participating in work winning process., • Candidate should be capable of technically assessing engineering problems and critically evaluating a range of technical solutions., • Unwavering confidence in technically assessing engineering problems and critically evaluating a range of technical solutions will be instrumental in pursuit of engineering excellence., • Exemplary communication skills to demonstrate diligence, prioritize tasks effectively, and ensure a thorough understanding of relevant legislation, including CDM and ESQCR. This knowledge will be pivotal in managing Transmission and Distribution network., • Collaborate closely with other designers, construction professionals, and engineering teams., • Liaise effectively with the Power Systems, Primary and Civil design departments to ensure that all objectives are met and that the best possible design is submitted., • Review and provide constructive feedback on the reports and drawings done by Junior & Senior Engineers., • Experience: Extensive experience in electrical protection and control system design, Substation Automation and SCADA system typically 12-15 years, with a proven track record of delivering complex projects within the power sector., • Technical and Professional knowledge and experience associated with the role., • Candidate should have vast experience in crafting Single Line Diagrams, AC & DC Schematic Drawings, Panel General Arrangements, Panel Wiring Diagrams, Switchgear Termination/interconnection drawings, Block Cable Diagrams/Schedules, and performing cable specification/sizing calculations, battery sizing calculations, CT/VT sizing, multicore sizing, Relays CORTEC/specifications., • Candidate should have experience in testing & commissioning of P&C, SCADA/Communication/SAS panels. Should be able to Identify potential risks and failures within protection and SCADA systems and propose mitigation strategies., • Education: Bachelor’s degree in electrical engineering (typically 2:1 or above) in Electrical Engineering, Power Systems, or a related field. A master’s degree may be preferred for senior roles., • Chartered Status (Preferred): Chartered Engineer (CEng) status with a professional body such as the Institution of Engineering and Technology (IET) or the Institution of Electrical Engineers (IEE) is highly desirable., • Certifications (Optional): Professional certifications such as NEBOSH for health and safety, or specific training in protection and control system design, may be beneficial.Candidate should have experience working in Substation Automation Syste

Senior Mapping Engineer - SLAM / Lidar - London Senior role shaping the future of a next-generation autonomy platform High-accuracy, large-scale LiDAR and vision-based mapping Strong emphasis on ROS2, C++ and multi-sensor fusion Hybrid working in London About the client We are partnering with an established and growing technology organisation developing a next-generation autonomy product with an existing customer base. As the platform scales for wider deployment, significant investment is being made into mapping and autonomy capabilities, creating an opportunity to play a pivotal role in its evolution. The benefits Competitive salary and benefits package Performance-based incentives Hybrid and flexible working arrangements Central London location (Paddington) Direct influence over architecture and technical direction Collaborative, engineering-led culture with real ownership * Opportunity to work on complex, real-world autonomy challenges The Senior Mapping Engineer role This is a senior, hands-on engineering role where you will take ownership of the mapping capability within a wider autonomy stack. You will work across the full lifecycle - from architecture and algorithm design through to production deployment and long-term optimisation. You will collaborate closely with perception and localisation teams to ensure mapping outputs are accurate, robust and production-ready. The role offers meaningful influence over tooling, standards, scalability decisions and long-term product direction. Key responsibilities Design and evolve scalable LiDAR and vision-based mapping pipelines Develop and optimise 2D and 3D map representations, including occupancy grids, HD maps and semantic layers Lead multi-sensor fusion across LiDAR, cameras, radar, GNSS/INS and odometry Support multi-session, large-scale and distributed mapping workflows Implement map versioning, incremental updates and deployment strategies Define KPIs and validation frameworks to ensure accuracy and consistency Translate SLAM and large-scale reconstruction research into robust production systems Mentor engineers and contribute to technical best practice across the autonomy function Senior Mapping Engineer essential skills MSc or PhD in Robotics, Computer Vision, Computer Science or a related discipline 4-5+ years' commercial experience in mapping for robotics or autonomous systems Strong LiDAR and point cloud processing expertise (PCL, Open3D or custom C++ pipelines) Experience in vision-based mapping, including stereo or mono reconstruction and visual SLAM Proven background in multi-sensor fusion Experience building and deploying large-scale 3D maps in real-world environments Strong C++ development skills with solid ROS2 experience Strong understanding of kinematics, estimation, optimisation, geometry and transformation management (TF2) Desirable experience includes semantic mapping, distributed systems, DDS middleware and ML-driven scene understanding. This role would suit a senior engineer who enjoys solving complex spatial problems, influencing architectural direction and seeing their work deployed in live autonomy systems. To be considered Please either apply through this advert or email me directly via . For further information please call me on / . By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. Key skills Robotics, SLAM, LiDAR, Computer Vision, ROS2, C++, Multi-Sensor Fusion, 3D Mapping, Autonomy, Software Engineering

AWS Data Engineer | 6m Contract | London, Hybrid - Outside IR35 Daily Rate: £570 per day (Outside) Team: Data Engineering - Application DevelopmentOverview:Opus have partnered with a London Financial Services company who're seeking a Senior AWS Data Engineer with a background in Application Development to support in architecting and delivering a new PostgreSQL-driven data platform which will be used to support core functions across investment reporting, risk analysis, regulatory output, and performance measurement.This is a high-impact greenfield build. You’ll take full ownership of the platform’s design and lead the transition away from Databricks and Excel-centric processes—shaping critical infrastructure that underpins the organisation’s investment operations.What You’ll Work OnYou’ll be responsible for designing and developing a scalable, secure PostgreSQL environment capable of supporting:Portfolio valuation and holdings dataPerformance and attribution reportingRisk and analytics outputsRegulatory and trustee disclosuresData governance and operational controlsYou’ll also oversee the migration of structured datasets from Databricks (Delta Lake/Spark) and replace manual Excel workflows with automated, well-governed pipelines to meet audit and regulatory standards.Key ResponsibilitiesBuild and maintain a secure PostgreSQL-based data platformLead the shift away from Databricks and spreadsheet-dependent reportingCreate dimensional data models covering investments, pricing, performance and related domainsDevelop reliable ETL/ELT processes in PythonImplement data quality, reconciliation and validation controlsOptimise database performance for analytical and reporting workloadsEnsure compliance with FCA and TPR regulatory guidelinesSet up access controls, security standards and permissioningEstablish monitoring, backup and disaster recovery solutionsCollaborate closely with investment, risk and finance teamsEssential Skills & Experience5+ years’ experience in data engineering, application development or data platform rolesStrong PostgreSQL knowledge, including indexing, optimisation and partitioningBackground in financial or investment data environmentsAdvanced SQL and Python skillsExperience migrating data from platforms like DatabricksConfident with dimensional modelling, star schemas, SCDs etc.Experience within regulated financial servicesDesirableExperience in pensions, asset management or institutional investingUnderstanding of performance measurement and attributionExposure to Airflow or dbtCloud platform familiarity (Azure or AWS)Knowledge of data governance best practiceAbout YouHighly detail-driven with a strong approach to data qualityComfortable operating in tightly regulated sectorsAble to explain technical concepts clearly to non-technical audiencesPractical, proactive and solution-focusedWhy This Role?A rare opportunity to build core investment data infrastructure from the ground upHigh visibility and direct engagement with senior stakeholders across multiple business areasStable organisation with long-term goals and purposeFlexible hybrid arrangement requiring only occasional travel to the London office

Job Title: Combat Systems Engineer Location: New Malden - minimum 1 day per week on-site Role Type: Permanent Salary: £48,000 - £55,000+ per annum depending on experience Our client, an established defence manufacturing firm in New Malden, require an experienced Combat Systems Engineer to join their multi-disciplined team. This role would suit a Royal Navy service leaver who has prior operational experience working on / with the fleet Combat Management System CMS-1. This role will provide technical support to the design and implementation of a Combat Systems, to impart an understanding of what good looks like and to help shape new and novel ways of improving the solution. You will have an opportunity to develop and enhance your skills, engage with senior figures within the business and work both with MoD and Royal Navy customers. What the role of the Combat Systems Engineer entails: Some of the main duties of the Combat Systems Engineer will include: • Shape and oversee System Requirements - have a technical grasp of what the requirements mean on a Naval platform, • Support Product Owner in technical solution design and validation to existing requirements, • Technical input to System Design and operability - interpretation of technical requirements into system capability, • Working with Royal Navy Operators and Subject Matter Experts to trial, understand and shape system behaviour, • Working with Human Factors and Software Team - review and critique system software development output What experience you need to be the successful Combat Systems Engineer: • Prior Combat Systems experience as a user or developer, • Naval background, • Experience of Requirement Analysis, • IT literate - use of Word, Excel, Powerpoint etc and ability to pick up software tools and packages, • Degree qualified in a STEM related subject or equivalent working experience, • Technical understanding of software development methods and processes, • Experience of working in large scale development environment Candidates would need to have lived & worked in the UK for 5+ years and be eligible for BPSS & SC security clearance. This really is a fantastic opportunity for a Combat Systems Engineer to progress their career. If you are interested please apply as soon as possible as this position will be filled quickly so don't miss out! Services advertised by Gold Group are those of an Agency and/or an Employment Business.We will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website.

Project EngineerLondon £38,000 - £42,000 Basic + Stability + Job satisfaction + Work life balance + Family feel + Low staff turnover + Training + Holidays + Pension Are you a Project Engineer looking to work on technically advanced systems within a growing and innovative company? This is a great opportunity to join a specialist engineering business where you'll play a key role in delivering complex projects from concept through to installation. On offer is the opportunity to work alongside experienced engineers in a collaborative environment, as a project engineer where you will be managing projects and gaining exposure to high-spec equipment and international clients. Join now and secure llong term stability and hands on job satisfaction in a great enviorment where you wont be just a number! Your Role as a Project Engineer:* Manage engineering projects from initial concept through to completion * Oversee project timelines, documentation, and delivery schedules * Support Factory Acceptance Testing (FAT) and system validation * Liaise with customers regarding technical requirements and updates Ensure projects are delivered on time and within specification The Successful Project Engineer Will Have: Engineering degree or relevant qualification / working with complex or scientific equipment os desirable. Please apply or contact Rebecka for immediate consideration. Keywords: Project Engineer, Mechanical Engineer, Electrical Engineer, Engineering Projects, Project Management, Manufacturing, Production, Scientific Equipment, FAT, Commissioning Engineer, Installation Engineer, Systems Engineer, Technical Engineer,Acton, West London, Ealing, Park Royal, Hammersmith, Chiswick, Shepherd's Bush, Wembley, Greenford, Northolt, Brentford, Harlesden, London This vacancy is being advertised by Future Engineering Recruitment Ltd. The services of Future Engineering Recruitment Ltd are that of an Employment Agency. Please visit our website at futureengineer.co.uk to view other positions we are currently handling. Future Engineering Recruitment Ltd can only accept applications from candidates who have a valid legal permit or right to work in the United Kingdom. Applications from candidates without this right will not be processed. We will endeavour to respond to all applicants; however, due to the volume of applications, only shortlisted candidates will be contacted.

Applied AI / Automation Engineer Location: London (Hybrid) Salary: £70k + (DOE) The Role A London-based financial services firm operating within the hedge fund and asset management space is seeking an Applied AI / Automation Engineer to join its Data Science function. This role will focus on designing and building an intelligent reporting and automation platform to support fund operations and administration teams. The successful candidate will work closely with both technical and operational stakeholders to deliver measurable efficiency gains and scalable automation solutions. The overall objective is to modernise reporting production and reconciliation processes through the application of modern data engineering practices, AI-enabled automation, and agent-based workflows. This is a hands-on engineering role focused on building reliable, production-grade systems within a complex financial environment. Key Responsibilities • Lead the design and development of an end-to-end automated reporting platform., • Build intelligent workflows to automate data ingestion, validation, reconciliation, and reporting processes, replacing manual operational workflows with scalable, controlled systems., • Design exception-handling and human-in-the-loop mechanisms where full automation is not appropriate., • Ensure the platform delivers high levels of accuracy, auditability, and operational resilience., • Work closely with product and operations stakeholders to translate operational complexity into structured technical solutions., • Develop the system as a maintainable internal product, rather than a collection of standalone scripts or tools., • Strong automation engineering capability with the ability to apply AI in real operational environments., • Strong hands-on experience with Python and SQL (3+ years), • Experience designing and implementing data pipelines and automation systems., • Experience integrating systems via APIs and structured data feeds., • Experience building reliable, monitored, and maintainable production systems., • Familiarity with version control (Git) and CI/CD pipelines., • Experience implementing testing frameworks to ensure system reliability and accuracy., • Strong systems thinking with the ability to design end-to-end technical solutions., • Exposure to financial services workflows such as reconciliation, accounting, or operational controls., • Experience building systems in regulated or audit-sensitive environments., • Familiarity with workflow orchestration tools. This is an opportunity to design and build an AI-driven operational platform from the ground up within a sophisticated financial environment. Through the application of automation, AI agents, and modern data engineering, the role will help shape how AI augments and transforms operational workflows across the organisation. Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.

QA & Test Engineer - Runtime Assurance SystemsLocation: London (on-site at HQ)Employment Type: Permanent - Full Time? About the company The company is a fast-growing start-up building the Trust Layer for physical AI and autonomous systems - next-generation safety-tech designed to unlock the true benefits of AI for humanity. Its software enables assured, trustworthy deployment of both traditional deterministic autonomy and AI-driven control methods in safety-critical environments, initially focused on aerospace and land domains.? Working culture The company is a fast-growing start-up with ambitious goals, and its culture reflects that. The team is motivated by building meaningful technology, solving hard problems and moving quickly together, embracing collaboration and change as part of start-up life.? Individuals thrive here if they enjoy taking ownership, wearing multiple hats and learning quickly, and are comfortable going beyond core hours when work demands it - not because it is expected every day, but because seeing progress matters. The organisation looks for people who want to be part of something being built from the ground up and who bring commitment, curiosity and teamwork to everything they do.? The role The business is seeking an exceptional QA & Test Engineer to join the engineering team building cutting-edge runtime assurance systems for AI and robotics applications. The role holder will play a vital part in developing and assuring safety-critical embedded software components that underpin the safe and reliable operation of the company's solutions.? Reporting to the CTO, the QA & Test Engineer will lead the design, development and execution of test and verification activities for the runtime assurance platform across multiple hardware architectures and real-time operating systems. The position combines hands-on technical work with significant influence over QA processes, tooling and continuous improvement.? Key responsibilities * Lead the design, development and implementation of embedded software for the runtime assurance platform across various hardware architectures and real-time operating systems.? * Ensure compliance with industry standards, regulations and best practices for safety-critical software development, such as DO-178C, ISO 26262 and IEC 61508.? * Manage build configuration and CI/CD pipelines, using services such as Jenkins, CloudBuild or AWS CodePipeline.? * Develop and maintain Software-in-the-Loop and Hardware-in-the-Loop test environments, including automated deployment across multiple platforms.? * Integrate performance testing techniques across multiple types of simulation (e.g. Gazebo, rosbag-based workflows).? * Collaborate with hardware engineers, systems architects and AI/ML specialists to integrate embedded software and test frameworks into the overall system.? * Participate in code reviews, performance optimisation and comprehensive testing (unit, integration and system level) to maintain high quality standards.? * Develop, implement and execute test strategies and verification activities for safety-critical software, including static and dynamic code analysis using tools such as Rapita RVS, LDRA, VectorCAST or Polyspace.? * Define and maintain test cases, procedures and automation frameworks to ensure consistency and repeatability.? * Support compliance with safety standards (e.g. DO-178C, ISO 26262, IEC 61508, DEF STAN 00-55) through rigorous testing and documentation.? * Lead defect reporting, tracking and resolution through structured QA processes, and prepare and present test results, coverage metrics and assurance evidence for internal and external reviews.? * Contribute to continuous improvement of verification and validation processes, tools and best practices.? Candidate profile * Bachelor's or Master's degree in Computer Science, Electrical Engineering or a related field, or equivalent experience, with a strong focus on embedded systems QA and software development and/or testing.? * Hands-on experience in embedded software testing and QA, with a proven track record in delivering safety-critical systems.? * Solid understanding of software development methodologies such as Agile, Continuous Integration and Test-Driven Development.? * Experience with one or more CI/CD pipeline services (e.g. Jenkins, CloudBuild, AWS CodePipeline).? * Experience with infrastructure and automation techniques (e.g. bash, Python) and source control tools such as Git.? * Experience with at least one automated test framework (e.g. pytest, GoogleTest/gtest).? * Experience developing and executing test strategies and verification activities for safety-critical software, including static and dynamic analysis.? * Strong problem-solving, analytical and debugging skills.? * Excellent communication and collaboration abilities, with the ability to work effectively in cross-functional teams.? Rewards and benefits * Competitive compensation package, dependent on experience.? * Salary sacrifice pension scheme with a 5% matched company contribution.? * Generous holiday allowance.? * EV car scheme and cycle-to-work scheme.? * Additional benefits to be introduced as the company grows.? Candidates will have the opportunity to join a team that is enabling a future in which AI is not only intelligent but also assured, safe and trustworthy.? DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality

QA Automation Engineer London, Hybrid £65,000 plus benefitsThis is an opportunity to join a fast-scaling technology business building a next-generation financial platform. You will play a key role in shaping how quality engineering is done, introducing AI-driven automation and helping build a modern test architecture that removes manual work while improving reliability.The Company They are a growing technology organisation operating in the financial domain, creating a platform that helps users understand and manage their full financial picture. Their environment is modern, product-led and engineering-driven, working in small squads with a strong focus on innovation. Quality engineering is seen as a strategic capability and they are investing heavily in automation, data reliability, and AI-powered workflows. You will join a team where experimentation is encouraged and new ideas influence the product directly.The Role You will work as part of a cross-functional engineering squad, responsible for designing and delivering the automation that ensures the platform is fast, stable and accurate. Key responsibilities include: Building and maintaining automated tests for a new web platform. Developing automation for backend, API and data validation workflows. Introducing AI-assisted tooling to accelerate test creation, debugging and data generation. Reducing manual testing by expanding robust, scalable test coverage. Supporting regression and functional testing for product changes, including integrations with third-party systems. Helping shape test architecture, frameworks and best practices as the business scales.Your Skills and Experience Strong commercial experience in software test automation within modern engineering teams. Confident testing both frontend web applications and backend APIs. Hands-on experience with Java, Kotlin, TypeScript or Python in an automation context. Strong understanding of HTML, CSS, JavaScript and web application behaviour. Experience building UI tests with tools such as Selenium or Playwright. Working knowledge of test frameworks such as JUnit or TestNG. Understanding of APIs, HTTP, JSON and related testing tools. Comfortable working in data-rich environments and validating data accuracy. Experience using AI tools within your engineering workflow to accelerate development and reduce repetitive tasks. Familiar working with CI/CD pipelines, Jira and modern dev practices.What They Offer 25 days annual leave with the ability to carry over additional days. Salary sacrifice options including electric car scheme, cycle-to-work, nursery benefits and pension contribution options. Enhanced parental leave. Study support and allocated study time. Work-from-home equipment provided. Support for physical and mental wellbeing. * Dog-friendly office and regular team socials.How to Apply If you are a QA Automation Engineer looking to join a forward-thinking tech environment, apply now to discuss the role in more detail.

Overview We're looking for a skilled Generative AI Engineer to help build and scale a modern AI platform within a large, complex enterprise environment. This role combines hands-on Python development with DevOps practices and the integration of large language models into secure, production-grade systems. You'll be working on emerging technologies, solving real-world engineering challenges, and contributing to the evolution of AI capabilities in a regulated setting. Key Responsibilities • Design, build, and maintain backend services and APIs that provide secure access to AI capabilities, • Develop Python-based components for prompt orchestration, output validation, and evaluation workflows, • Integrate LLMs into existing enterprise systems, ensuring alignment with security and observability standards, • Implement and manage CI/CD pipelines in line with engineering best practices, • Collaborate with cross-functional teams (engineering, platform, and operations) to ensure reliable deployment and scaling, • Support experimentation, benchmarking, and cost/performance analysis of AI models, • Contribute to retrieval-augmented generation (RAG) solutions and data integration patterns, • Establish reusable API standards, frameworks, and documentation to support wider adoption, • Strong background in backend engineering using Python (additional exposure to Node.js or similar is beneficial), • Hands-on experience working with Generative AI and large language models, • Understanding of prompt engineering challenges and model evaluation techniques, • Solid DevOps capabilities, including CI/CD pipelines and monitoring practices, • Experience operating in secure, regulated environments with strict governance controls, • Proven track record of integrating AI into production applications or workflows, • Experience with API gateways, service meshes, or GitOps tooling, • Familiarity with cloud platforms and services (compute, containers, storage, messaging), • Experience building RESTful APIs (FastAPI or similar) and microservices architectures, • Exposure to infrastructure-as-code and automated deployment workflows, • Knowledge of prompt evaluation tooling, • Experience with both SQL and NoSQL databases, • Takes initiative and solves problems without needing heavy direction, • Comfortable navigating ambiguity in a fast-evolving technical landscape, • Strong communicator who can work effectively across technical and non-technical teams, • Curious and proactive in exploring new AI approaches responsibly, • High-quality, secure AI services delivered into production, • Improved team productivity through automation and streamlined processes, • Reliable, observable systems with performance and evaluation built in, • Solutions that are easy for other teams to adopt and build upon, • Clear, accessible documentation supporting rapid onboarding

Flight Software EngineerUp to £65,000 Competitive Benefits PackageRemote Working Permanent Candidates must be eligible to obtain a SC clearance. Candidates must have right to workin the Uk, no sponsorship is offered. We are looking for a talented Flight Software Engineer to join a fast-growing AI and robotics safety start-up. The business is expanding its engineering team as it continues to build cutting-edge assurance systems for AI-enabled robotics and autonomous systems. The company is developing advanced safety and assurance technology designed to ensure autonomous systems operate safely, predictably and with optimal performance. Their solutions focus on robotics and AI applications where reliability and safety are critical. You will play a key role in developing software components that enable safe and reliable operation of autonomous robotic systems within the company's robotics platform. Working closely with cross-functional teams across embedded systems, AI/ML and systems architecture, you will help design, develop and validate robotics software that meets high performance and safety standards. We are looking for someone who enjoys working in a startup environment and is motivated by solving complex technical problems. This is an opportunity to work on cutting-edge robotics technology while helping shape products from an early stage. Key Responsibilities: This company is an equal opportunity employer and values diversity. They do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Interested? Please submit your CV to Chrissie Rehman at DCS Recruitment via the link provided. Alternatively email me on or call on . DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality

The Role A leading organisation in the aviation sector is undertaking a major HR data transformation programme, migrating from a legacy Oracle environment into Snowflake to create a unified, scalable HR data platform. The core data model has already been designed. The next phase focuses on: • Building logical data layers, • Developing scalable ETL pipelines, • Delivering a centralised HR data product, • Designing and developing ETL pipelines within Snowflake, • Working at the logical data modelling layer, • Challenging and supporting existing data architecture, • Collaborating with architects, data engineers, and insight teamsOwnership & Leadership, • Driving delivery of the HR data product within tight 4-6 week timelines, • Acting as a technical sounding board for architecture decisions, • Providing guidance and support to other engineersTech Stack, • Snowflake, • DBT, • Python (including Lambda for AWS workflows), • AWS (data pipelines + infrastructure), • Oracle (legacy system exposure beneficial), • Power BI (understanding of downstream consumption)Domain Experience, • Experience working with HR / People data is highly desirable, • Strong understanding of HR data structures and business logic, • Ability to translate engineering work into real business impactData Migration Scope, • Migration from Oracle Snowflake, • Handling both current and historical datasets, • Supporting testing phases: CIT and UITDelivery Timeline, • Architectural design completing in 1-2 weeks, • Engineering build to begin immediately, • Initial HR core module delivery in 4-6 weeks, • Longer-term (up to 6 months):, • Feeding datasets into reporting, • Validation & analysis, • UAT beginning SeptemberEnd Goal, • A fully unified, centralised HR data platform, • Integrated seamlessly with Power BI, • Scalable, reliable pipelines for ongoing analytics Stage 2 - 45 mins Competency + technical deep dive covering: • DBT development & modelling, • Snowflake engineering, • AWS pipelines (Python / Lambda), • Strong hands-on experience with Snowflake + DBT, • Proven track record building AWS-based Python/Lambda pipelines, • Background in data migration projects, • Confident challenging architecture and taking ownership, • Experience with HR/People data strongly preferred, • Comfortable delivering at speed and under time pressure

Full Stack Software Engineer Location: London, in-person Salary: Up to £55,000 (DOE)Role overview As a Full Stack Software Engineer, you will help develop and scale the company’s core financial service platform and internal tools. You will work closely with product, operations, and wider business teams to translate practical requirements into reliable software. This role suits someone who can both build and communicate effectively. You should be comfortable writing solid code, explaining decisions clearly, asking the right questions, and collaborating with others.Technical stack • JavaScript/ TypeScript, • React.js, • Node.js with Express.js, • Next.js, • Tailwind CSS, • PostgreSQLKey responsibilities, • Collaborate with product and internal stakeholders to design, build, and deliver new features across the platform and internal systems, • Develop and maintain frontend and backend components using modern frameworks, • Translate product requirements into clear technical decisions and implementation plans, • Optimise performance, reliability, usability, and scalability, • Write clean, maintainable, and testable code aligned with engineering standards, • Troubleshoot and resolve technical issues with clear communication, • Contribute to architectural and process decisions to ensure security and adaptability, • Use AI-assisted tools appropriately for research, prototyping, debugging, and development tasks, • Stay up to date with relevant technologies and contribute to improving workflows and product qualityWhat we are looking for, • Minimum 2 years’ experience in full stack web development, • Strong understanding of modern web application development across frontend and backend, • Experience shipping production code and improving existing systems, • Degree in Computer Science, Engineering, or a related field is beneficial but not essential, • Clear written and verbal communication, • Ability to collaborate with technical and non-technical stakeholders, • Strong judgement and problem-solving approach, • Comfortable asking questions to clarify requirements, • Ability to use AI tools effectively, including prompt writing and output validation, • Collaborative, reliable, and easy to work withNice to have, • Experience building fintech platforms, • Experience developing SaaS or user-focused products, • Familiarity with DevOps practices, CI/CD pipelines, and containerisation, • Experience using AI coding tools such as GitHub Copilot, Cursor, Claude, or similarWhat will set you apart, • Ability to clearly explain technical trade-offs, • Thoughtful and effective use of AI as a productivity tool, • Focus on delivering practical, valuable software, • Strong collaboration and team mindsetWhy join, • Opportunity to work on a platform supporting innovative businesses, • Team culture focused on clarity, ownership, and continuous improvement, • Exposure to modern tools and AI-assisted development practices, • Professional development opportunitiesIf you are interested please apply ASAP. The People Network is an employment agency and will respond to all applicants within three - five working days. If you do not hear within these timescales please feel free to get in touch.

GCP Data Engineer • Contract Duration: 6 months initially, • Location: Farringdon, London (Hybrid - 3 days a week onsite) Day-to-day of the role: • Design and build scalable, resilient, reusable data pipeline templates across various domains and data products., • Standardise ingestion and transformation patterns using configuration-driven pipeline frameworks., • Embed data quality checks by default, including schema validation, completeness, freshness, thresholds, and automated alerting., • Enhance end-to-end pipeline resilience, monitoring, observability, failure handling, and recovery mechanisms., • Integrate AI/ML features to boost reliability, anomaly detection, and operational efficiency., • Collaborate closely with Data Product teams, Analytics Engineering, and Data Science to deliver production-grade data solutions., • Proficient in Python, Scala, and SQL., • Extensive experience in data modelling and ELT/ETL processes., • Strong hands-on experience with Google Cloud Platform, including BigQuery, Dataflow, Pub/Sub, Composer, and Cloud Run/App Engine., • Familiarity with CI/CD & DevOps practices, including automated testing and infrastructure as code., • Experience in implementing data quality frameworks, observability tooling, and production monitoring patterns., • Proven ability to build reusable data pipeline templates for large-scale, multi-domain platforms., • Exposure to AI-enabled pipeline capabilities, such as anomaly detection or intelligent monitoring., • Good understanding of MLOps or supporting deployment of ML models into production environments. To apply for this GCP Data Engineer position, please submit your CV and a member of the Reed Professional Services Talent Team will be in touch.

About The RoleTeam – Vitality ApplicationsWorking Pattern - Hybrid – 2 days per week in any Vitality Office. Full time hours.Top 3 skills required: • Expertise in Test Automation and Framework Engineering, • Leadership and Strategic Influence, • Multi-Specialism Technical ExpertiseWhat this role is all about:Join Vitality as a Principal Test Engineer and lead the technical direction of our automation landscape. From designing robust C# and Java frameworks to championing best-in-class practices across teams, your work will directly influence delivery speed, quality, and engineering culture. Key Actions, • Implement the software test life cycle:Own and refine the full software test lifecycle, from analysis and design through execution and reporting. You’ll ensure quality is built in from the start, driving efficient, automation-led approaches that scale across teams., • Recognised technical authority:Be the go-to technical expert for advanced automation and modern testing practices. You’ll provide direction, unblock teams, and set the bar for engineering excellence., • Adhere to testing standards:Champion Vitality’s Group test strategy, embedding modern engineering standards and ensuring teams consistently deliver high-quality, reliable solutions., • Subject matter expert in standards:Act as the SME for testing standards across Vitality. You’ll lead the adoption of best-in-class approaches, ensuring consistency, maintainability, and continuous improvement., • Engage stakeholders:Collaborate with a wide network of stakeholders including architects, developers, UX designers, product owners, analysts, and delivery leads to shape solutions. You will understand requirements, and ensure testing is tightly aligned to business outcomes., • Cross-team integration:Work closely with senior leadership, internal teams, and third-party partners to interpret requirements, align on test strategy, and ensure seamless integration across complex journeys and platforms., • Build and transfer knowledge:Invest in your own technical development while coaching and mentoring engineers. You’ll help shape a high-performing automation community with strong engineering discipline., • Specialist expertise:Demonstrate deep expertise in two testing specialisms (including automation) while continuing to develop capability in a third, strengthening both breadth and depth across the engineering landscape., • Collaborate within and across teams:Partner effectively with cross-functional teams, sharing knowledge and aligning on best practices to deliver reliable, scalable solutions at pace. What do you need to thrive?, • 7+ Years of hands-on Automation Testing experience with extensive knowledge of C#, Java & Selenium., • Minimum of 2+ years of mentoring Engineers in test automation projects, • Strong hands-on experience in API test automation, including scenario design, data setup, and validation., • Deep understanding of automation framework design and long-term maintainability., • Proven ability to lead test teams and mentor junior engineers., • Experience in defining test strategies and driving quality initiatives across teams., • Strong communication skills to collaborate with cross-functional stakeholders. So, what’s in it for you?, • Bonus Schemes – A bonus that regularly rewards you for your performance, • A pension of up to 12%– We will match your contributions up to 6% of your salary, • Our award-winning Vitality health insurance – With its own set of rewards and benefits, • Life Assurance – Four times annual salaryThese are just some of the many perks that we offer! To view the extensive range of benefits we offer, please visit our careers page.If you are successful in your application and join us at Vitality, this is our promise to you, we will:, • Help you to be the healthiest you’ve ever been., • Create an environment that embraces you as you are and enables you to be your best self., • Give you flexibility on how, where and when you work., • Help you advance your career by playing you to your strengths., • Give you a voice to help our business grow and make Vitality a great place to be., • Give you the space to try, fail and learn., • Provide a healthy balance of challenge and support., • Recognise and reward you with a competitive salary and amazing benefits., • Be there for you when you need us., • Provide opportunities for you to be a force for good in society.We commit to all these things because we want you to feel that you belong, and are supported to be happy and healthy.About The CompanyWe're really excited to announce that we have recently been awarded "Top 10 Best Places To Work" in The Sunday Times Awards 2024!Vitality is a multi-award-winning UK insurance brand, here to make the world a healthier, happier place. We’ve been a purpose and values-driven business from day 1- long before it became fashionable. Our core purpose is to make people healthier and enhance protect their lives. Vitality pioneered shared-value insurance. We incentivise people to live healthier longer lives – they benefit, our business benefits, and society benefits. We’re successful because we attract, develop, and retain the best people – and because we care.Plus, you get to join our 1.7+ million members with access to our unique health insurance and healthy living programme. Just to make sure you know our products inside and out.If we are fortunate in receiving a high volume of quality applications we may need to close this vacancy early. If you are interested, please submit your application as soon as possible.

Test EngineerActon £32,000 - £35,000 Basic + Stability + Clean Working Environment + Training + Progression + Holidays + Pension Are you looking for a Test Engineer role where you can develop your skills working on complex, high-value scientific equipment? This is a great opportunity to join a specialist engineering business where you'll work alongside experienced engineers in a supportive and technically driven environment. This company designs and manufactures advanced scientific systems and is continuing to grow due to increasing demand. As a Test Engineer, you'll play a key role in ensuring product quality while gaining exposure to cutting-edge technology and international projects. Your Role as a Test Engineer:* Testing a wide range of scientific instruments * Working to defined test schedules and specification* Completing Factory Acceptance Tests (FAT) * Fault-finding and diagnosing technical issues * Supporting packing and preparation of systems* Liaising with customers and supporting training on systems The Successful Test Engineer Will Have:* Strong mechanical skills * Good troubleshooting and fault-finding ability * Analytical mindset with attention to detail * Engineering or Physics degree or experience with low-temperature systems is desirable.*Ability to commute to the Acton areaPlease apply or contact Rebecka for immediate consideration. Keywords: Test Engineer, Testing Engineer, Mechanical Engineer, Electrical Engineer, Electronic Engineer, Electronics Engineer, Service Engineer, Field Service Engineer, Commissioning Engineer, Installation Engineer, Production Engineer, Manufacturing Engineer, Quality Engineer, Systems Engineer, Calibration Engineer, Validation Engineer, Fault Finding, Diagnostics, Troubleshooting, FAT, Factory Acceptance Test, SAT, Scientific Equipment, Laboratory Equipment, Instrumentation, Electro-Mechanical, Mechatronics, Engineering Technician, Graduate Engineer,Acton, West London, Ealing, Park Royal, Hammersmith, Chiswick, Shepherd's Bush, White City, Wembley, Greenford, Northolt, Brentford, Harlesden, Perivale, Hayes, Uxbridge, Southall, Hanwell, London This vacancy is being advertised by Future Engineering Recruitment Ltd. The services of Future Engineering Recruitment Ltd are that of an Employment Agency. Please visit our website at futureengineer.co.uk to view other positions we are currently handling. Future Engineering Recruitment Ltd can only accept applications from candidates who have a valid legal permit or right to work in the United Kingdom. Applications from candidates without this right will not be processed. We will endeavour to respond to all applicants; however, due to the volume of applications, only shortlisted candidates will be contacted.

Senior Data Engineer | High-Growth Data Platform | Hybrid Build the foundational data mesh architecture for a premier global intelligence firm. The Opportunity This is a high-impact individual contributor role at the heart of a leading intelligence platform’s data engineering capability. You will join a core team of senior engineers responsible for designing and evolving the foundational infrastructure and services that power data across the entire organisation. This is a deeply hands-on role that demands strong technical expertise and the ability to influence across teams without formal authority. You will drive the platform toward a data mesh architecture, establishing the standards that allow domain teams to operate autonomously while maintaining trust across the ecosystem. What You’ll Be Doing • Design and build core platform components that form the foundation of a scalable data platform., • Drive the progressive realisation of a data mesh architecture and self-service tooling., • Evaluate and evolve the data stack, making informed recommendations on tools and services., • Define architectural principles and standards for data formats to ensure interoperability., • Implement sophisticated access controls and data masking capabilities for security and privacy., • Build automated quality gates and data contract validation at ingestion and serving layers., • Develop an observability framework and alerting mechanisms for pipeline health and incident response., • Design strategies for data discoverability, lineage tracking, and metadata management. What They’re Looking For • Extensive experience building production-grade data platforms using dbt, Airflow, Spark, and Snowflake., • Practical knowledge of data mesh principles and federated data architectures., • Solid understanding of AWS cloud infrastructure, including networking, IAM, and compute., • Experience with data cataloging, lineage tools, and metadata management frameworks., • Ability to influence technical direction and drive alignment across teams without formal authority., • Strong prioritisation instincts, balancing deep technical work with organizational needs. Nice to Have • Familiarity with the Apache Iceberg table format., • Knowledge of data contract frameworks and schema validation tooling. Why Join? You will join a high-performance team where engineering quality is a priority and technical leadership is practiced through mentorship and shared standards. This role offers the chance to move beyond standard pipelines into advanced areas like data mesh and automated governance. You will have the autonomy to shape a modern architecture and the opportunity to see your work directly empower engineers across the business

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

Site Reliability Engineer (SRE) – GPU Infrastructure Data Centres Fully Remote Role - Work from home The Site Reliability Engineer (SRE) is responsible for the end-to-end validation, testing, and readiness of GPU compute clusters prior to production release. The role ensures that all hardware, networking, and system components meet operational and reliability standards before customer workloads are deployed. Working closely with global infrastructure and engineering teams, the SRE plays a critical role in maintaining the quality, stability, and integrity of high-performance compute environments. Key Responsibilities Cluster Validation & Testing • Validate GPU clusters of varying sizes to ensure hardware and system integrity prior to production release, • Perform functional and reliability testing of GPUs, servers, and associated components, • Verify network connectivity and performance, including high-speed interconnects where applicable Orchestration & Benchmarking • Provision and configure GPU clusters using automated workflows, • Execute and analyse performance and stability benchmarks orchestrated via a workload scheduler, • Validate results against expected performance and reliability thresholds Test Framework & Automation • Maintain and extend the automated validation framework built using Python and Ansible, • Integrate new test cases to support additional hardware platforms and GPU generations, • Improve test reliability, coverage, and execution efficiency Remediation & System Integrity • Diagnose and remediate unhealthy nodes through configuration changes or software fixes, • Coordinate with on-site support teams for hardware replacements when required, • Ensure all issues are resolved and documented prior to handover to production operations Documentation & Handover • Produce clear, accurate documentation of test results, hardware states, and remediation actions, • Ensure smooth handovers to operations and engineering teams, • Maintain up-to-date runbooks and validation procedures Team Collaboration & Training • Work as part of a distributed, international infrastructure and engineering team, • Participate in knowledge sharing, process improvement, and technical reviews, • The working language is English; additional language skills are beneficial Shift & Availability Requirements • Ability to work independently within a remote environment, • Reliable internet connection and suitable home working setup, • Role is fully remote; company hardware will be provided Skills & Experience Essential • Strong hands-on experience administering and troubleshooting Linux systems, • Confident use of CLI tools for diagnostics, including analysis of kernel logs, drivers, and system services, • Proven experience writing and maintaining Ansible playbooks, • Proficiency in Python for automation, test execution, and parsing results, • Strong analytical and problem-solving skills with attention to detail, • Excellent written and verbal English communication skills, • High standards for system reliability, consistency, and documentation Preferred / Desirable • Experience working with GPU-based or high-performance compute environments, • Familiarity with workload schedulers (e.g. Slurm or similar tools), • Understanding of data centre hardware lifecycle and server validation processes, • Exposure to high-speed networking technologies, • Experience working with distributed or remote infrastructure teams Performance & Success Metrics • Accuracy and completeness of cluster validation prior to production release, • Reduction in post-deployment hardware or configuration issues, • Quality and clarity of validation documentation and handover materials, • Effectiveness of remediation and coordination with on-site teams, • Reliability and maintainability of automated test frameworks, • Collaboration and communication quality with engineering and operations teams

About Us: Orchestrade is a global leader in providing sophisticated, complete cross-asset front-to-back trading and risk management platforms. Our innovative solutions are trusted by a diverse range of financial institutions, including investment banks, hedge funds, asset managers, private banks, as well as energy and utility companies. We pride ourselves on being a truly reliable technological partner that not only comprehends but also effectively addresses the intricate needs of our clients, ranging from rapidly growing businesses to the largest global enterprises. Our commitment to cutting-edge technology and unparalleled client service sets us apart in the financial software industry. Description As a Capital Markets Sales Engineer, you will play a pivotal role in supporting the sales and business development efforts of our cross-asset portfolio and risk management platform. Our platform is API-enabled, cloud-ready, and designed to provide best-in-class cross-asset, cross-instrument trade booking & lifecycle management, real time P&L, P&L explain, risk analytics, confirmations & reconciliations and overall portfolio management to our target clients of banks, hedge funds and energy trading firms. You will work closely with sales, product, and engineering teams to demonstrate the value of our technology to prospective clients and help drive revenue growth. Your primary responsibility will be to understand client requirements, provide tailored demonstrations, and articulate with Sales how our solutions can address their business needs. Acting as a trusted advisor, you will bridge the gap between client challenges and the technical capabilities of our platform, ensuring a seamless pre-sales / sales engineering experience. Through detailed product demos and presentations, occasional proof-of-concept (PoC) engagements, and technical deep dives, you will empower prospects to make informed decisions while shaping our go-to-market strategy with valuable client insights. Your work will directly impact sales success, client satisfaction, and the overall growth of the company. This role requires strong financial markets knowledge in the capital markets space, technical acumen, and excellent communication skills. You will thrive in a dynamic, fast-paced environment, working collaboratively with internal teams and external stakeholders to showcase our platform's potential and competitive advantages. Responsibilities • [Sales Engineering Strategy & Execution] Support the sales team in developing and executing strategies that position our platform as the leading solution in the capital markets space., • [Sales Engineering Strategy & Execution] Conduct pre-and post-demo in-depth discovery sessions to understand client workflows, pain points, and technology requirements. Protect Product Management, Engineering and Development resources to the “last mile” of deals., • [Sales Engineering Strategy & Execution] Tailor product demonstrations to showcase the platform’s value proposition effectively., • [Sales Engineering Strategy & Execution] Contribute and maintain standard tools for effective pre-sales activities, including call reports submission and distribution in Hubspot or other CRM tools, maintenance of a Demo Database which includes positions, trades and market data, Demo Scripts for various use cases, enrichment and validation of the RFI/RFP database, and other tools for the effective operations, • [Sales Engineering Strategy & Execution] Assist Sales in the population and enrichment of the Deal Term Sheet that represents the foundational terms of the legal contract between Orchestrade and the client., • [Client Engagement & Revenue Growth] Build strong relationships with prospective clients, acting as a trusted advisor throughout the pre-sales process., • [Client Engagement & Revenue Growth] Act as the point person whilst collaborating with sales and product teams to craft compelling proposals and respond to RFPs/RFIs., • [Technical Expertise & Product Demonstration] Develop and deliver high-quality product presentations, highlighting functionality and coverage of our platform., • [Technical Expertise & Product Demonstration] Occasionally lead PoCs (these are typically quite rare), ensuring a smooth and impactful evaluation process for potential clients., • [Market & Competitive Intelligence] Stay up-to-date with industry trends, market developments, and competitor offerings to refine our sales approach., • [Market & Competitive Intelligence] Provide feedback to product and engineering teams to help drive continuous improvement and innovation., • [Cross-Functional Collaboration] Work closely with marketing, sales, and implementation teams to align messaging, sales materials, and client onboarding processes., • [Cross-Functional Collaboration] Partner with engineering and development teams to ensure client requirements are effectively translated into product enhancements., • [Process Optimization & Continuous Improvement] Identify and implement best practices in the pre-sales process to improve efficiency and client engagement., • [Process Optimization & Continuous Improvement] Regularly assess and refine demo environments, PoC frameworks, and client-facing documentation to enhance the pre-sales experience., • [Team Player] Communicate knowledge with others and adhere to company tools and policies. Qualifications • 0-3+ years of experience working in FinTech space selling/implementing enterprise solutions to Hedge Funds, Banks, or Treasury OR direct experience at a buy/sell side financial institution., • Bachelor’s or Master’s degree in Finance, Financial Engineering, Economics or other quantitative discipline., • Strong knowledge of Capital Markets, including the capital markets ecosystem, trade lifecycle and commonly traded asset classes (rates, credit, equity, FX, commodities)., • Technical proficiency in C#, Python or other OOP languages a plus., • Clear communicator with strong documentation habits and cross-functional collaboration skills., • Excellent presentation skills, with the ability to distill complex topics clearly into effective insights to management and senior level stakeholders., • Willingness to travel onsite to meet with prospects and clients. This role offers an exciting opportunity to work at the intersection of finance and technology, helping leading financial institutions navigate the complexities of modern capital markets with cutting-edge solutions.

Agentic RAG Engineer / Architect Department: Global Markets — AI & Intelligent Automation Location: London City, Hybrid - Contract (Outside IR35) About the Team My client's Global Markets Division are building an enterprise-grade agentic platform that will transform how trading, sales, risk, and operations teams access, reason over, and act on information. A critical pillar of this platform is an agentic Retrieval-Augmented Generation (RAG) layer — not a simple "search and stuff" pipeline, but an intelligent, self-directing retrieval system that can plan queries, route across heterogeneous data sources, assess and refine its own results, and feed high-fidelity context to downstream agents. The data landscape is complex: unstructured research, regulatory documents, structured trade and risk data in relational and tabular stores, graph-based entity relationships, real-time market data, and internal knowledge bases. The RAG layer must unify all of this behind a coherent, agentic retrieval interface. Role Purpose They are hiring an engineer-architect who will own the design and build of the agentic RAG layer for Global Markets. You will architect a retrieval system where agents autonomously determine what data they need, plan retrieval strategies across vector stores, knowledge graphs, and tabular databases, evaluate the quality and relevance of retrieved context, and iteratively refine until the answer meets a quality threshold — all with full traceability and auditability. Key Responsibilities 1. Agentic RAG Architecture — Design an end-to-end agentic retrieval architecture where retrieval is not a static pipeline but an agent-driven process: query planning, source selection, parallel retrieval, result fusion, self-critique, and iterative refinement. Implement advanced patterns including corrective RAG (detect and recover from poor retrieval), adaptive RAG (dynamically adjust strategy based on query complexity), and self-reflective RAG (critique and refine answers before returning)., 2. Knowledge Graph Integration — Build and maintain graph-based knowledge representations (entities, relationships, hierarchies) for Global Markets domains (counterparties, instruments, legal entities, regulatory taxonomies). Implement graph-RAG patterns for multi-hop reasoning and relationship-aware retrieval., 3. Vector Database Engineering — Architect and optimise the vector storage layer — embedding model selection, chunking strategies (semantic, hierarchical, sliding window), index tuning (HNSW, IVF-PQ), metadata filtering, hybrid search (dense + sparse), and re-ranking pipelines., 4. Structured Data Retrieval — Design agentic text-to-SQL and text-to-query capabilities for structured/tabular data stores, enabling agents to autonomously formulate queries against trade, risk, P&L, and reference data in relational databases and Databricks lakehouse tables., 5. Databricks Integration — Leverage Databricks as a core data platform — Unity Catalog for data governance, Delta Lake for reliable storage, Databricks Vector Search for managed embeddings, and Spark/SQL for large-scale data processing and feature engineering., 6. Query Routing & Orchestration — Implement intelligent query routing agents that decompose complex user questions into sub-queries, determine the optimal retrieval source (vector, graph, tabular, API) for each, execute in parallel, and synthesise coherent answers., 7. Retrieval Quality & Evaluation — Build evaluation frameworks for retrieval quality: precision, recall, MRR, faithfulness, answer relevance, and hallucination detection. Implement online and offline evaluation loops, including LLM-as-judge and human-in-the-loop feedback., 8. Ingestion Pipelines — Design and build robust data ingestion pipelines: document parsing (PDFs, HTML, spreadsheets), intelligent chunking, metadata extraction, entity resolution, embedding generation, and incremental index updates. Handle Global Markets document types: term sheets, trade confirmations, risk reports, regulatory filings, research notes., 9. Guardrails & Data Governance — Enforce access control at the retrieval level — ensuring agents can only retrieve data the requesting user is authorised to see. Implement PII detection, data classification, and audit trails for every retrieval operation., 10. Observability & Performance — Instrument the RAG layer with comprehensive tracing: query decomposition traces, retrieval latency per source, relevance scores, token usage, cache hit rates. Optimise for sub-second retrieval on hot paths. Required Skills & ExperienceRAG Engineering (must-have) ● 6+ years of software engineering experience, with at least 2-3 years focused on information retrieval, search systems, NLP, or RAG architectures. ● Deep expertise in vector databases — production experience with at least one of: Pinecone, Weaviate, Milvus, Qdrant, Chroma, pgvector, or Databricks Vector Search. Understanding of index types, distance metrics, sharding, and performance tuning. ● Hands-on experience with embedding models — OpenAI embeddings, Cohere, sentence-transformers, BGE, or similar. Understanding of embedding dimensionality, fine-tuning, domain adaptation, and cross-encoder re-ranking. ● Production experience with chunking and ingestion pipelines — document parsing (unstructured.io, LlamaParse, Apache Tika), semantic chunking, contextual chunking (prepending document-level context to chunks), parent-child relationships, and metadata enrichment. ● Experience with hybrid search — combining dense vector retrieval with sparse retrieval (BM25, SPLADE) and implementing re-ranking (Cohere Rerank, cross-encoders, ColBERT). Graph & Knowledge Representation (must-have) ● Experience with knowledge graphs — design, construction, and querying of graph structures for entity-rich domains. Production use of Neo4j, Amazon Neptune, or TigerGraph (or equivalent). ● Familiarity with graph-RAG patterns — using graph traversal, community detection, or subgraph retrieval to provide relational context to LLMs. ● Understanding of ontology design and entity resolution for financial entities (counterparties, instruments, legal entities). Structured Data & Databricks (must-have) ● Production experience with Databricks — Delta Lake, Unity Catalog, Spark SQL, and ideally Databricks Vector Search or Databricks Feature Serving. ● Experience with text-to-SQL approaches — using LLMs to generate and validate SQL/Spark SQL queries against structured data, with schema-aware prompting and result validation. ● Solid understanding of relational data modelling for financial data — trade lifecycle, risk measures, reference data, and P&L. Agentic Patterns (must-have) ● Experience building agentic RAG systems — where retrieval is driven by autonomous agents that plan, route, execute, evaluate, and refine (not static pipeline RAG). Familiarity with patterns such as CRAG (Corrective RAG), Self-RAG, and Adaptive RAG. ● Proficiency with LangChain / LangGraph for building retrieval agent graphs, tool-augmented retrieval, and self-reflective RAG loops. ● Strong Python skills — async programming, type safety (Pydantic), and building production services. AI / LLM Fundamentals (must-have) ● Deep understanding of LLM capabilities — context windows, function calling, structured output, prompt engineering, and model selection trade-offs. ● Experience with RAG evaluation methodologies — RAGAS, custom evaluation pipelines, LLM-as-judge, and human annotation workflows. Financial Services (preferred) ● Prior experience in capital markets technology — understanding of the data landscape (trade systems, risk platforms, market data, regulatory reporting). ● Familiarity with data governance in banking — entitlements, data classification, regulatory data lineage (BCBS 239, GDPR). Preferred / Bonus Skills ● Experience with multi-modal RAG — retrieving and reasoning over charts, tables, images, and structured data alongside text. ● Familiarity with GraphRAG (Microsoft) or similar community-based graph retrieval approaches. ● Experience with Apache Kafka or streaming pipelines for near-real-time document ingestion and index updates. ● Knowledge of semantic caching strategies for reducing retrieval latency and LLM costs. ● Contributions to open-source RAG or retrieval projects (LlamaIndex, LangChain retrievers, Haystack, etc.). ● Experience with fine-tuning embedding models on domain-specific corpora (financial text, regulatory language). ● Familiarity with data mesh / data product architectures in the context of serving retrieval use cases. Technical Stack ● Retrieval Orchestration LangGraph - LangChain, Pydantic.AI ● Vector Databases - Databricks Vector Search, Pinecone / Weaviate / Milvus / pgvector ● Knowledge Graphs - Neo4j, Amazon Neptune, or TigerGraph ● Data Platform - Databricks (Delta Lake, Unity Catalog, Spark SQL, MLflow) ● Embedding models - OpenAI, Cohere, sentence-transformers, BGE ● Re-ranking - Cohere Rerank, cross-encoders, ColBERT ● Document processing - Unstructured.io, LlamaParse, Apache Tika ● LLM providers - OpenAI (GPT-4+), Anthropic (Claude), Azure OpenAI ● Languages - Python, Rust ● Evaluation - RAGAS, custom evaluation harnesses, LangSmith ● Observability - OpenTelemetry, LangSmith / LangFuse, Grafana ● Infrastructure - Kubernetes (AKS) Qualifications ● Bachelor's or Master's degree in Computer Science, Information Retrieval, Computational Linguistics, Data Science, or a related quantitative discipline. PhD in a relevant field (IR, NLP, knowledge graphs) is a strong differentiator. ● Relevant certifications are valued (Databricks Certified, AWS/Azure ML Specialty) but are secondary to demonstrated hands-on expertise. Agents notes: This role requires in-depth knowledge and experience. I will reply to every applicant. Thanks.

The Infrastructure Operations Engineer is responsible for supporting and maintaining enterprise infrastructure across on premises, virtualized, bare metal, and cloud environments. The role requires strong operational expertise in VMware vCenter, Linux systems, AWS cloud environments, automation, and monitoring platforms. The ideal candidate is hands on, capable of troubleshooting complex issues, making improvement recommendations, and working independently while providing clear reporting. Key Responsibilities Infrastructure and Virtualization • Administer and support VMware vCenter environments, • Manage virtual machine lifecycle including provisioning, maintenance, migration, and decommissioning, • Perform OS rebuilds and bare metal provisioning using Rebar, • Advanced Linux administration including troubleshooting, patching, hardening, and performance tuning, • Windows Server administration and operational support, • Provide operational support for AWS cloud environments, • Troubleshoot cloud infrastructure, performance, networking, and access issues, • Monitor cloud resources and recommend improvements for reliability, security, and cost efficiency, • Strong experience with Terraform for infrastructure provisioning and updates, • Experience with GitLab and CI CD pipelines, • Maintain and troubleshoot infrastructure as code deployments, • Strong working knowledge of Infoblox, • Solid understanding of DNS, DHCP, IPAM, routing, and firewall fundamentals, • Understanding of enterprise storage concepts, • Experience with Commvault for backup and recovery operations, • Experience with Datadog, BigPanda, xMatters, Grafana, and Cribl, • Respond to alerts, perform incident troubleshooting, and conduct root cause analysis, • Use Jira for incident, change, and request tracking, • Maintain documentation, runbooks, and operational procedures, • Provide infrastructure reporting and status updates to management

Allegis Global Solutions is recruiting for a contract position, and the assignment will be at Warner Bros. Discovery Role: Senior Data Analyst Contract: 6 months Payrate: £ 350 per day via PAYE Location: Leavesden Mode: Hybrid Senior Data Analyst – Analytics Engineer Role My notes; • Advanced PowerBI, Excel, SQL, Tableau and/or Power Automate, • Python (optional but good to have), • Previous, extensive experience requirements gathering, • Previous Business Analyst experience (good but not necessary), • Data cleaning and data transformation experience, • Great presentation skills, • Minimum 5 years experience, • Great team player, • Creative data visualisation and dashboard creation, • Power BI and/or Azure Certified, • Must be UK based and able to commute 3 days a week Draft 1 Responsibilities • Lead the design and delivery of dashboards and data visualisations using Power BI, Excel, SQL, Tableau, and/or Power Automate., • Experience of requirements gathering with stakeholders, translating complex business needs into robust analytics and data workflows., • Own data quality practices, including data cleaning, transformation, validation, and accurate models for reporting., • Establish and refine best practices for data modelling and visualisation standards., • Present analytical findings, trends, and recommendations to senior leadership and cross‑functional teams with clarity., • Partner with engineering, product, and operations teams to automate data processes where possible, optimise reporting infrastructure, and improve existing analytics frameworks., • Good team leader and member – foster a culture of technical excellence, creativity, and continuous learning. Requirements • Minimum 5 years of professional experience in data analytics, PowerBI engineering, analytics engineering, or closely related disciplines., • Advanced proficiency in Power BI, Excel, SQL, Tableau, and/or Power Automate, with a strong track record of delivering comprehensive dashboards., • Extensive experience in requirements gathering, stakeholder management, and translating business questions into analytical solutions., • Strong background in data cleaning, transformation, modelling, and preparing datasets for scalable analytics., • Excellent communication and presentation skills, for both technical and non‑technical audiences., • Demonstrated ability to create creative, user‑centric, visually compelling dashboards and data products., • Power BI and/or Azure certification strongly preferred., • Experience with Python is a plus., • Previous Business Analyst experience would be beneficial but is not essential., • Must be UK‑based and able to commute to the office 3 days per week., • Experience with Data bricks.

Novatus Global is a Series B scale-up RegTech SaaS provider and boutique advisory firm, helping financial institutions manage their most complex regulatory requirements. We combine deep consulting expertise with cutting-edge SaaS solutions, enabling clients to strengthen compliance, enhance resilience, and drive sustainable growth. Our flagship SaaS platform, En:ACT (short for Enabing Accurate Compliance in Transaction reporting), is a market-leading solution for regulatory transaction reporting and reconciliation across global regimes. En:ACT automates reporting, reconciles data across systems, and maps errors directly to regulatory rules, helping firms remediate quickly, reduce risk, and meet regulatory obligations with confidence. Already trusted by more than 30 firms worldwide, the platform is scalable, proven, and designed for both business and technical users. Alongside our SaaS offering, our unique model delivers consulting services across Risk & Compliance (including Transaction Reporting and Operational Resilience), ESG, Strategy, Data, and Operations. Unlike larger consultancies, we embed ourselves within client teams to deliver both insight and execution, taking ownership of outcomes and driving measurable impact. Since our launch in 2019, we have scaled rapidly, creating space for our people to grow with the business. Backed by North American private equity investment, and partnerships with the London Stock Exchange Group and Snowflake’s global data platform, we are shaping the future of regulatory compliance through innovation in both advisory and technology. Our growth plans do not stop here; we are on the lookout for top-tier talent to join us on our journey and enable our next phase of success. Job Overview As a Senior Data Engineer, you will be developing our configuration-driven data platform in Databricks, enabling non-engineers to define regulatory logic, and our Snowflake data warehouse, ensuring scalability, auditability, and fitness for client-facing regulatory use cases. You’ll be writing clean, maintainable and well-tested code that follows best practices. As a senior member of the team, you will be providing technical leadership and mentorship to your colleagues. You’ll join at a pivotal stage as we modernize our data infrastructure, migrating from Python scripts and MySQL to Databricks and Snowflake. Our systems power regulatory reporting for major financial institutions, requiring precision, traceability, and reliability. What You'll Do • Design and evolve our configuration-driven data framework in Databricks and our Snowflake warehouse., • Mentor Junior members of the team, aiding their growth and acting as a force multiplier through your technical leadership., • Design, build, and optimize data pipelines using Databricks, Kafka, Python and PySpark., • Ensure pipelines are auditable, lineage-aware, idempotent, and resilient in regulated environments., • Implement robust data quality controls including testing, validation, monitoring, and alerting., • Drive performance optimization across Spark and Snowflake workloads., • Partner with Product, Engineering, DevOps, and Regulatory teams to translate requirements into scalable technical designs., • Contribute to the continuous improvement of our development processes and tools. Must-Haves • Experience designing auditable, reproducible data pipelines in regulated or high-integrity environments using Python and PySpark., • Able to write and optimize complex SQL queries on large data sets., • Strong data modeling and warehouse design fundamentals., • Strong software engineering fundamentals (clean code, automated testing, CI/CD, observability), • Experience with modern cloud data platforms and orchestration tools., • Comfortable translating complex regulatory requirements into technical specifications., • Ability to work autonomously with a high degree of accountability for the systems you build and maintain. Nice-to-Haves • Experience with Kafka or other event streaming platforms., • Hands-on experience with AWS cloud infrastructure., • Experience building new data platforms or modernizing legacy systems., • FinTech, RegTech, or financial services background. Perks & Benefits • Private Medical Insurance (AXA) – includes mental health, dental, vision, and private GP access, • Life Insurance (4× salary) with Unum, • Unum’s Help@Hand: includes medical second opinions, physiotherapy, lifestyle coaching, savings and discounts, and cancer support services for you, your partner, and your child(ren), • Employee Assistance Program, • Enhanced parental leave (maternity & paternity), • Professional qualification sponsorship, • Accelerated career progression based on performance, not tenure, • Holiday entitlement increases with tenure, • Flexible hours with core collaboration time, • Paid volunteering leave, • Gym & fitness discounts, • Quarterly socials, and office snacks & drinks, • Interest-based working groups to collaborate and innovate Novatus Global’s Equal Opportunities Statement Novatus is an Equal Opportunity Employer. All employment decisions are made based on business needs, role requirements, and individual qualifications, without regard to race, age, religion or belief, sex, sexual orientation, gender identity or expression, marital or civil partnership status, pregnancy or maternity, socioeconomic background, disability, or any other characteristic protected under the Equality Act 2010. We maintain a workplace culture that is inclusive, respectful, and supportive. Our recruitment and selection processes are designed to ensure fairness and consistency for all candidates. Reasonable adjustments are available throughout the application and interview process, and candidates are encouraged to contact Human Resources to discuss any specific requirements. This commitment is embedded in all aspects of our employment practices, including recruitment, compensation, professional development, promotion, and workplace conduct.

As a Biopolymer Scientist / Materials Engineer at Sealeo, you will take a central role in the development of a cutting-edge biomaterial system at the heart of the company’s technology. This is a hands-on, applied materials role with real ownership and responsibility. You will work directly with the founders on polysaccharide-based and soft-matter systems, generating new experimental data, structuring and interpreting existing results, and guiding technical decisions that shape Sealeo’s development trajectory. Your work will directly influence how a novel biomaterial progresses from early-stage development toward industrial readiness. This role suits someone who thrives in fast-moving, ambiguous environments and enjoys tackling complex materials challenges that do not yet have established playbooks. You will balance rapid experimentation with deeper materials understanding, making informed judgement calls that matter. You will collaborate with leading academic and industrial partners, engaging with advanced testing, validation, and scale-up capabilities beyond a single lab. This offers rare exposure to the full journey of novel biomaterials, from bench-scale science to real-world application. The role is part-time (2-3 days per week) with high flexibility in working hours and an outcome-driven approach. As Sealeo grows, there is clear potential to transition into a full-time position within 12 months, with scope for expanded responsibility and long-term technical leadership for the right person. Responsibilities Material Development & Evaluation: • Take a central scientific role in the development of novel biopolymer-based material systems, working with polysaccharides and soft-matter materials., • Contribute to Sealeo’s work within a large funded consortium, supporting and coordinating material validation, characterisation, and scale-up activities across partners., • Identify, evaluate, and select suitable biopolymer inputs and functional material components based on performance, manufacturability, and scale-up considerations., • Design and execute bench-scale experiments to develop, optimise, and characterise biomaterials., • Correlate material chemistry and structure with macroscopic properties relevant to real-world performance., • Structure, consolidate, and critically analyse existing experimental data to support clear technical decisions., • Design and generate new experimental data to resolve open technical questions and reduce development risk., • Develop and validate analytical test methods to ensure consistency and reproducibility in formulation performance., • Communicate material insights and formulation changes internally and externally, enabling effective collaboration with research organisations, scale-up partners, and manufacturing stakeholders., • Ensure experimental work remains aligned with manufacturing constraints, cost considerations, and downstream deployment requirements., • Contribute to the development of intellectual property, including patents and trade secrets. Qualifications Must-have: • PhD (ongoing or completed) in Materials Science, Polymer Chemistry, Chemical Engineering, or equivalent hands-on industry experience., • Demonstrated hands-on laboratory experience working with polysaccharides (e.g. alginate, cellulose, chitosan, starch) in material or formulation contexts., • Proven experience developing and testing physical material systems, such as foams, hydrogels, porous materials, or biopolymer-based composites., • Strong experimental skills, including designing experiments, generating reproducible data, and analysing results., • Experience working in exploratory R&D environments, with comfort navigating ambiguity and incomplete data., • Ability to translate experimental findings into clear technical conclusions and recommendations that support decision-making., • Strong written and verbal communication skills for technical documentation and partner-facing discussions. Nice-to-have: • Familiarity with thermal properties, heat transfer, and insulation-related material performance., • Exposure to thermal cycling, stability testing, or durability studies under repeated operating conditions., • Experience interfacing with scale-up, pilot manufacturing, or process engineering teams.

Associate or Senior Associate – Building Physics London About us Hoare Lea is a human-centric and planet-conscious engineering consultancy. We offer intelligent and sustainable solutions to complex design challenges for the built environment throughout the UK and further afield. We provide a wide range of engineering and consultancy services, including acoustics, air quality, building services (MEP), fire, lighting, security and sustainability to name but a few. Together, our highly skilled teams use technical expertise and problem-solving skills to bring buildings to life. We ensure that whatever the building, its design is outstanding, and its operations meet the needs of the communities it serves. We are as committed to providing an environment where everyone can realise their unique potential. So, in joining Hoare Lea, you will experience a business that enriches your knowledge, supports your wellbeing, and welcomes your individuality. You’ll have the opportunity to participate in our 9-day fortnight scheme, thriving community groups, varied social and networking events, and extensive professional and technical development schemes. We also offer an extensive benefits package, including private medical cover, an electric vehicle salary sacrifice scheme, stock options, and 25 days of annual leave (increasing with service), alongside flexible and hybrid working. Whatever your ambitions or circumstances, our aim is to enable everyone to develop their knowledge, give their best, and enjoy what they do. About the role We’re hiring an Associate/Senior Associate to join our building‑physics team working on CFD, data‑centre thermal performance and whole‑building energy modelling. You will lead and deliver modelling studies, translate results into practical design and operational guidance, and help grow our technical capabilities and reproducible workflows across the team We are looking for an experienced, client‑facing engineer with hands‑on CFD and data‑centre modelling experience plus a strong grounding in building physics (heat transfer, ventilation/HVAC optimization, dispersion and wind‑microclimate analysis, and dynamic thermal modelling). You should be comfortable setting technical standards, leading projects, mentoring colleagues, and communicating results to clients and project teams. If you meet many of the criteria but not every bullet, we encourage you to apply. It's an exciting time to join our Building Physics team. Working alongside a range of specialist engineers and consultants, you will be joining a collaborative, knowledgeable, highly engaged team who love what they do, and offer a supportive, flexible, and high performing work culture. In this key and varied role, you can expect to: • Lead data‑hall CFD studies (rack‑ and room‑scale): containment and airflow strategies (hot/cold aisles, perforated‑tile & raised‑floor flows, fan walls, in‑row/rear‑door cooling, liquid‑cooling), transient resilience/time‑to‑critical analyses, hotspot mitigation, and assessment of re‑entrainment risks from plant equipment (generators, chillers)., • Oversee production CFD across sectors (Residential, Science & Research, Workplace): set meshing and solver standards, enforce convergence and QA/QC practices, and recommend higher‑fidelity approaches (e.g., LES) where justified., • Evaluate HVAC and ventilation strategies: model ventilation effectiveness and control strategies to improve thermal comfort, air distribution and energy performance., • Execute dispersion and wind‑microclimate studies: contaminant transport and tracer‑gas approaches, pedestrian wind comfort/safety assessments (Lawson criteria, City of London guidance), and interaction with site plant., • Integrate local CFD findings into whole‑building energy model., • Build and maintain automation and parametric workflows (Python; Rhino + Grasshopper/Ladybug/Honeybee), creating reusable components and batch‑run pipelines for scenario studies., • Define and implement model validation and uncertainty approaches: calibration, sensitivity analysis and reporting., • Provide technical leadership: review deliverables, mentor junior staff, support proposals and client presentations, and ensure projects are delivered on scope, schedule and budget., • A collaborative mindset, with the self-awareness and openness to work effectively within multi-disciplinary teams., • Support timely invoicing, debt chasing, management of WIP and forward workload/resource planning for your own projects., • Mentor and support our ‘next gen’ professionals including apprentices and graduates. About you To be successful in this role you’ll need: • BSc or MSc in Mechanical Engineering, Building Science, Thermal/Fluid Engineering, Physics, Mathematics, CFD or similar (or equivalent practical experience)., • Demonstrable CFD experience; data‑centre project experience is highly desirable., • Hands‑on experience with two or more CFD platforms (e.g., ANSYS Fluent/CFX, OpenFOAM, Star‑CCM+, Cadence DC) and meshing tools., • Practical experience in data‑centre thermal modelling (rack/room CFD, containment, transient resilience analyses)., • Experience into energy modelling tools like IES‑VE, TAS, EnergyPlus / OpenStudio)., • Automation skills: Python for scripting and data work; Rhino + Grasshopper and Ladybug/Honeybee for parametric workflows., • Strong communication and client‑facing skills; experience writing technical proposals and presenting to clients., • Ability to create clean, watertight geometry in Rhino, SpaceClaim or similar., • Commercial awareness and accountability, • A commitment to supporting the development of others Desirable: • Roles in data centre consulting and close collaboration with MEP teams., • Experience with LES and transient high‑fidelity studies for targeted investigations., • Familiarity with 1D flow network modelling for liquid‑cooling strategies., • Exposure to wind‑tunnel validation for CFD (boundary‑layer reproduction, instrumentation data processing, and CFD‑to‑experiment comparison)., • Professional registration (CIBSE or equivalent) or progressing toward registration. How to apply To apply simply complete a CV profile and submit your application, or for further information please contact . If shortlisted, one of our recruitment team will be in touch to arrange an introductory call (about 30 minutes) to discuss the role and your experience in more detail. From there, successful candidates will be invited to attend a panel interview, either via Microsoft Teams or in person at one of our offices. We aim to provide feedback at each stage of the process. Adjustments and accommodations If there are adjustments or accommodations that we can put in place to help you participate and give your best at any stage of the recruitment process (whether relating to disability, neurodivergence or anything else) please let us know. Data privacy We have updated our terms and conditions for candidates, click here to find out more. Recruitment agencies We have a Preferred Supplier List of trusted partners who assist us when required. We do not acknowledge speculative CVs or unsolicited candidate introductions from agencies not on the list. #LI-HYBRID

We’re looking for a Senior Data Engineer to help build and scale a modern, configuration-led data platform leveraging Databricks and Snowflake. The platform is designed to enable non-technical users to define and manage complex regulatory logic, while ensuring data remains scalable, traceable, and fit for client-facing use. This role sits within a key phase of infrastructure transformation, as the business transitions from legacy Python-based processes and MySQL databases to a more scalable cloud-native architecture. The systems underpin critical reporting workflows for financial institutions, where accuracy, transparency, and reliability are essential. You’ll be expected to produce high-quality, maintainable, and well-tested code, while also contributing to the technical direction of the team and supporting more junior engineers. Key Responsibilities • Develop and enhance a configuration-driven data platform using Databricks and Snowflake, • Build, maintain, and optimise data pipelines using Python, PySpark, and streaming technologies, • Ensure data pipelines are robust, traceable, and compliant, with strong lineage and fault tolerance, • Implement and maintain data quality frameworks, including validation, monitoring, and alerting, • Optimise performance across distributed data processing and warehouse environments, • Work closely with product, engineering, DevOps, and regulatory stakeholders to translate requirements into scalable solutions, • Support and guide junior team members, contributing to overall team capability and delivery, • Continuously improve development standards, tooling, and engineering practices Required Experience • Proven experience building scalable and auditable data pipelines in regulated or high-integrity environments, • Strong proficiency in Python and PySpark, • Advanced SQL skills, including working with large and complex datasets, • Solid understanding of data modelling and warehouse design principles, • Strong grounding in software engineering best practices (clean code, testing, CI/CD, observability), • Experience working with modern cloud-based data platforms and orchestration tools, • Ability to interpret and translate complex regulatory or business requirements into technical solutions, • Comfortable working independently with ownership of key systems and deliverables Desirable Experience • Exposure to event-driven architectures (e.g. Kafka or similar tools), • Experience with AWS cloud environments, • Track record of building new data platforms or transforming legacy systems, • Background in financial services or FinTech

Reward Gateway | Edenred is a global leader in benefits and employee engagement. We help businesses attract, engage, and retain top talent through strategic rewards, recognition, and well-being solutions. Guided by our shared missions of ‘Making the World a Better Place to Work’ and ‘Enriching Connections, For Good’, we are committed to transforming workplaces and improving people’s daily lives. Due to continued business growth, we are looking for a Lead AI Engineer who will report to the Director of AI Engineering. This role will be a subject matter expert for applied AI within our Engineering organisation. This role suits a hands‑on team lead who builds and ships customer‑facing, production‑grade AI, solving complex problems, shaping long‑term strategy, and rolling up their sleeves to help teams adopt practical, reliable AI every day. You will architect and build production-ready AI systems, guide technical decision-making, and ensure we deliver meaningful products for our clients and employees. Key Responsibilities • Architect, build, and ship production-grade AI / Generative AI products using LLMs, RAG, agents, strong context strategies, and responsible guardrails., • Lead a small team (initially 2 AI engineers) and scale it; partner with Product using a working backwards mindset; set objectives, run Agile/Scrum, coach, and make fast, high-quality decisions., • Drive 10x productivity with AI agents and AI coding assistants while maintaining high standards for code quality, testing, reviews, and observability, taking full ownership of AI outcomes., • Evolve POCs into measurable solutions with clear metrics, A/B tests, online evaluation, and lightweight models., • Own end-to-end workflows: data pipelines, evaluation and benchmarking, instrumentation, human-in-the-loop validation, and compliance., • Operate on AWS and Kubernetes with CI/CD, infrastructure as code, monitoring, performance, and cost control., • Make pragmatic choices, including LLMs, prompting vs fine-tuning, embeddings and vector search, hybrid search; ensure privacy, PII protection, and enterprise controls. Skills, Knowledge and Expertise • Hands‑on leader who has built and shipped production AI and full‑stack systems., • Python first; testing and CI/CD; fluent with AI coding assistants (Cursor, Copilot, Claude Code) and accountable for outcomes, • Applied LLMs: Claude or similar; RAG, agents, prompt engineering; embeddings + vector DBs; hybrid search; evaluation/benchmarking, • Data engineering: ETL; SQL/NoSQL design; data sourcing/ingestion with governance and quality, • Cloud/platform: AWS, Kubernetes, Docker; infrastructure as code; observability, • Advanced retrieval/reranking and context/chunking strategies; offline/online evaluation frameworks, • ML data lifecycle: feature engineering; train/val/test splits; dataset versioning; pipeline orchestration; production monitoring for drift/quality, • Ability to contribute to React, TypeScript, and PHP codebases, • Cost and performance at scale: model routing, caching, token/latency budgets; SLOs (e.g., p95 latency, availability) The Interview Process • Online interview with the Talent Partner and the Director of AI Engineering, • Technical interview with Director of AI Engineering, VP of Product Engineering, and VP of Product At Reward Gateway | Edenred, we are committed to ensuring an inclusive and accessible recruitment process for all candidates. If you have any specific requirements or need reasonable adjustments at any stage of the recruitment journey, please let your Talent Acquisition Partner know. Your needs are important to us, and we want to ensure an equitable experience for every candidate.

Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview This opportunity is for a Quantitative Analyst at the Vice President (VP) level within the Capital Analytics team within Citi's Markets Quantitative Analytics (MQA) in London. Team Overview The Capital Analytics team within Citi's MQA group in London develops and maintains the firm's regulatory capital calculation framework for counterparty credit risk. The team produces Standardised Approach for Counterparty Credit Risk (SA-CCR)-based RWA, Resolution metrics, and Global Systemically Important Banks (G-SIB) indicators across global derivatives and financing portfolios. Sponsored by the Head of Counterparty Trading and Risk, the team partners closely with Technology to deliver scalable batch systems that generate daily regulatory capital outputs for Front Office, Risk, Resolution Planning, and GSIB reporting. It also builds high-performance analytics and trade-level attribution tools that help Front Office quantify and optimise the capital impact of trading activity. Role Overview This role sits within the Capital Analytics function and involves developing quantitative models, analytics, and production systems that support Front Office capital transparency and regulatory capital compliance. It requires strong quantitative and programming skills, as well as the ability to work closely with trading, technology, and control functions. Responsibilities • Design, implement, and maintain cross-asset quantitative analytics supporting regulatory capital frameworks for Markets Front Office, including SA-CCR, Resolution metrics, and GSIB indicators, using advanced mathematical, statistical, and computer science techniques. Core implementation languages include Python and C++., • Engineer and optimise capital computation engines and production workflows, ensuring robustness, scalability, and computational efficiency across daily global regulatory capital runs., • Collaborate closely with trading desks, structurers, and Front Office quants to provide analytics, model insights, trade-level attribution, and support for capital-efficient structuring and pricing., • Partner with control groups such as Model Risk Management, Market Risk, and Compliance to ensure strong governance, model validation, documentation, and adherence to regulatory requirements., • Assess risk-reward trade-offs in model development and analytical decisions, reinforcing a culture of prudent risk management and reputational awareness across the team.Qualifications, • Relevant prior experience in a comparable quantitative modeling or analytics role in the financial sector., • MSc or PhD in a relevant quantitative discipline such as Mathematics, Physics, Engineering, Computer Science, or Quantitative Finance., • Excellent technical and programming skills in C++ and/or Python, with the ability to write efficient, maintainable, and production-quality code., • Financial product knowledge and familiarity with the quantitative methods used in pricing, risk, and analytics., • Clear and concise communication skills, demonstrated in both written and verbal form, with the ability to explain complex quantitative concepts to diverse stakeholders.By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:, • 27 days annual leave (plus bank holidays), • A discretional annual performance related bonus, • Private Medical Care & Life Insurance, • Employee Assistance Program, • Pension Plan, • Paid Parental Leave, • Special discounts for employees, family, and friends, • Access to an array of learning and development resourcesAlongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive. If you are actively working with clients, have a passion for relationships and want to be part of a successful global franchise - then apply today. This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. Job Family Group: Risk Management ------------------------------------------------------ Job Family: Model Development and Analytics ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Analytical Thinking, Business Acumen, Constructive Debate, Data Analysis, Escalation Management, Policy and Procedure, Policy and Regulation, Risk Controls and Monitors, Risk Identification and Assessment, Statistics.------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. 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Role Overview We are looking for a skilled Data Engineer to design, build, and maintain scalable data solutions that support business intelligence and analytics initiatives. You will work closely with stakeholders to transform raw data into meaningful insights, ensuring high data quality and reliability across platforms. Must have worked in the telecommunications domain. Key Responsibilities • Design, develop, and maintain robust data pipelines and ETL processes, • Build and optimise data models to support reporting and analytics requirements, • Develop and enhance dashboards and reports using Power BI, • Write efficient and scalable SQL queries for data extraction and transformation, • Perform data cleansing, validation, and quality assurance to ensure accuracy, • Collaborate with business and technical teams to understand data requirements, • Troubleshoot data issues and provide innovative solutions to complex problems, • Support continuous improvement of data architecture and processes Key Requirements • Strong experience in SQL for data manipulation and performance optimisation, • Hands-on experience with Power BI for dashboard development and reporting, • Proficiency in programming languages such as Python or R, • Experience in data cleansing, transformation, and data quality management, • Strong analytical and problem-solving skills, • Ability to work with large and complex datasets, • Good communication skills and ability to work in a collaborative environment Desirable Skills • Experience with cloud platforms (e.g., Azure, AWS, or GCP), • Knowledge of data warehousing concepts and architectures, • Exposure to big data tools or distributed systems, • Understanding of data governance and security best practices

We are partnering with a healthcare technology client developing software for regulated medical devices. They are seeking a Senior Software Engineer (AI) with a strong background in Machine Learning to support a critical medical device project. This role will play a key part in designing, developing, and guiding AI-driven software in a highly regulated environment, with direct input into regulatory and quality considerations. Contract details • Contract Length: Initial 3 months (strong likelihood of extension), • Start Date: Immediate, • Location: Fully remote (UK-based, ideally within commuting distance of London), • Rate: £400 per day (Outside IR35 if applicable) Key responsibilities • Design, develop, and maintain AI / Machine Learning software components used within a medical device context, • Implement robust, scalable Python-based ML pipelines, including model training, evaluation, and deployment, • Develop and integrate RESTful APIs to expose ML functionality, • Package and deploy applications using Docker and cloud-native patterns, • Work within AWS environments (e.g. EC2, S3, Lambda, SageMaker or equivalent), • Ensure software is developed in line with IEC 62304 and medical device software lifecycle requirements, • Provide technical guidance on regulatory compliance, including documentation, traceability, and risk management, • Collaborate closely with product, quality, regulatory, and clinical stakeholders, • Support preparation of software artifacts for medical device submissions (e.g. technical files), • Review code and mentor other engineers where required Required skills and experience • Strong Python development experience in production environments, • Proven experience developing Machine Learning models (e.g. classification, regression, image/signal processing, or NLP), • Solid understanding of ML model lifecycle: data preparation, training, validation, deployment, and monitoring, • Hands-on experience with APIs, Docker, and AWS, • Working knowledge of IEC 62304 and regulated software development, • 6–12 months experience working in healthcare and/or medical device software, • Exposure to software used in medical device regulatory submissions, • 3–5+ years professional software engineering experience, • Ability to advise and guide teams on regulatory and quality considerations within software development Nice to have • Experience with AI/ML in regulated environments (SaMD, diagnostics, imaging, wearables, etc.), • Familiarity with ISO 13485, ISO 14971, or FDA guidance for medical software, • Experience working alongside Quality Management Systems (QMS), • Background in cloud-based ML services (e.g. AWS SageMaker), • Strong documentation and technical writing skills Your recruitment consultant Cam Dalziel is a recruitment specialist in assembling teams in data, AI, design, and technology across Europe. He engages with top talent and is committed to providing a high-quality service that delivers results. If you’re looking for a new career opportunity or seeking the right addition to your team, contact .

Job Title: Commissioning Director – Hyperscale Data Centres Location: London (Flexible Working) – Extensive Travel across the UK & Europe Salary: £145,000 - £165,000 Per Annum + Enhanced Benefits Package Client: Our client is a Tier 1 main contractor delivering major mission-critical facilities across the UK and Europe. As demand for hyperscale data centres accelerates, they are expanding their leadership team and seeking a highly experienced Commissioning Director to shape, grow, and lead our commissioning capability across multiple regions. This is a senior leadership role suited to someone who combines deep technical expertise with strategic vision, commercial strength, and the ability to deliver world-class critical infrastructure. Key Responsibilities Hyperscale Commissioning Strategy • Develop and implement a portfolio-wide commissioning strategy aligned to hyperscale delivery models, • Establish standardised commissioning methodologies, templates, and governance to support rapid, repeatable deployment, • Drive early commissioning involvement from concept design through construction and handover, • Align commissioning plans with:, • Hyperscale client technical standards, • Modular and phased delivery strategies, • Campus and multi-building programmes Portfolio & Programme Leadership • Provide executive leadership across multiple concurrent hyperscale projects or campuses, • Oversee commissioning sequencing to support:, • Early energisation, • Partial handovers, • Phased operational readiness, • Manage and mentor regional commissioning leads and project teams, • Act as escalation point for technical, safety, and programme-critical issues Client & Stakeholder Interface • Serve as the senior commissioning interface with hyperscale clients, including:, • Owner’s engineering teams, • Operations & reliability teams, • Independent Commissioning Authorities (ICA), • Lead high-level technical workshops, design assurance reviews, and readiness gates, • Manage client witness testing and acceptance across phased handovers, • Support client-driven operational readiness reviews and turnover processes Technical Oversight – Mission Critical Systems • Provide technical governance and assurance across all hyperscale-critical systems, including: Electrical • Utility intake, HV/LV infrastructure, • Generators, paralleling systems, fuel systems, • UPS (static and rotary), batteries, and energy storage Mechanical • Air-cooled and liquid-cooled systems, • Chillers, cooling towers, CRAH/CRAC, • Direct-to-chip and rear-door heat exchanger solutions Controls & Integration • BMS, EPMS, SCADA, and DCIM interfaces, • Integrated Systems Testing (IST) and failure mode validation Life Safety & Compliance • Fire detection and suppression systems, • Integrated life safety testing, • Regulatory and AHJ compliance, • Ensure commissioning validates:, • Fault tolerance and redundancy, • Operational resilience, • Client-specific performance metrics Safety & Risk Leadership • Champion a zero-harm commissioning culture in live and energised environments, • Govern safe systems of work for:, • HV energisation, • Load testing, • Live failover testing, • Identify and mitigate commissioning-related programme, technical, and operational risks, • Ensure compliance with all local and international safety regulations Commercial & Preconstruction Input • Lead commissioning input during bid, preconstruction, and early works phases, • Define commissioning scope, resources, durations, and cost allowances, • Support commercial negotiations, variations, and risk reviews related to commissioning, • Drive continuous improvement based on lessons learned across hyperscale programmes Digital, Data & Standardisation • Promote use of digital commissioning tools, data capture, and analytics, • Ensure commissioning data supports:, • Asset information models, • Client operational platforms, • Long-term reliability and maintenance strategies, • Drive standardisation and automation where possible to support scale delivery Key Accountabilities • On-time commissioning and phased handover across hyperscale campuses, • Consistent delivery aligned to hyperscale client standards, • Safe execution of all commissioning activities, • Successful client acceptance and operational readiness, • Development of scalable, repeatable commissioning capability Required Experience Essential • 10+ years in mission-critical MEP delivery, • Proven leadership delivering hyperscale data centre projects (multiple buildings or campuses), • Experience managing commissioning across parallel, high-velocity programmes, • Deep understanding of hyperscale delivery models and client-driven standards, • Extensive experience with:, • Integrated Systems Testing (IST), • Live environment commissioning, • Phased handovers and early energisation Desirable • Direct experience working with major hyperscale clients, • International hyperscale programme experience, • Experience with modular and prefabricated data centre solutions Qualifications Essential • Degree in Electrical, Mechanical, Building Services Engineering, or similar, • Chartered Engineer (CEng) or equivalent professional status Desirable • Uptime Institute Accredited Tier Designer (ATD), • Data Centre Commissioning certifications, • Formal leadership or project management qualifications Personal Attributes • Executive-level presence and credibility with hyperscale clients, • Strong decision-making under programme pressure, • Highly structured, process-driven, and data-led mindset, • Collaborative leadership style with a focus on safety and quality

Senior LLM, RAG & Agentic AI Consulting Engineer - Lead / Senior FDE Remote First, some trips to client offices and HQ Lead the design and delivery of complex, AI-native client engagements, spanning agentic systems, retrieval architectures and semantic layers. This is a senior, hands-on consulting role combining deep technical leadership with strong client presence, shaping both client outcomes and the firm’s long-term AI engineering capability. As client demand for AI-native transformation accelerates, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution. The Consulting Engineer is a hands-on AI systems builder who combines deep engineering craft with commercial and product thinking to design, build and deploy agentic, retrieval and ontology-based systems for enterprise clients. You will work directly with senior client stakeholders and alongside consulting and orchestration roles, translating complex business challenges into safe, reliable and measurable AI solutions. Key Accountabilities Client-Facing AI Engineering & Agentic System Design You will design and deliver production-grade AI systems for external clients, including: • LLM applications using modern orchestration patterns, prompt frameworks and evaluation loops, • Multi-agent architectures, including planning, delegation, safety constraints and monitoring, • Retrieval and vector-based systems, embeddings, structured reasoning and semantic workflows, • Ontology and knowledge modelling literacy to enable precise reasoning and data alignment, • Integrations and automation via APIs, tools and enterprise systems, • Prompt engineering at scale, including pattern libraries, guardrails and explainability checks You will lead technical design within client engagements and set architectural direction across delivery pods. Technical Discovery, Feasibility & Solution Architecture Working closely with consulting counterparts, you will: • Translate ambiguous client problems into clear, feasible engineering approaches, • Assess client data, platforms, security constraints and operating models, • Contribute to framing, use-case shaping and technical scoping discussions, • Work directly with client domain experts to surface edge cases and operational realities, • Produce clear, lightweight technical artefacts for client and internal audiences Delivery Excellence, AI Ops & Reliability You will ensure client solutions are safe, observable and enterprise-ready by: • Implementing evaluation frameworks and safety checks across models and agents, • Designing monitoring, logging, tracing and incident-response patterns, • Applying governance, risk and compliance principles within client environments, • Supporting releases, environments and handover into client operations, • Ensuring reliability, reproducibility, performance and cost controls Experience & Skills This is a senior, hands-on consulting engineering role. Candidates should bring: • Solid experience in software engineering, AI engineering, or applied data engineering, • Strong hands-on experience with LLMs, embeddings, RAG, retrieval stacks and vector databases, • Experience designing or implementing multi-agent systems or tool-calling frameworks, • Strong Python skills with experience building production-grade systems, • Experience working across at least one major cloud AI ecosystem (e.g. Azure/OpenAI, GCP/Vertex, AWS, Anthropic), • Familiarity with semantic modelling, ontologies, or knowledge graph concepts, • Proven ability to rapidly prototype solutions for client validation, • Experience working directly with clients in consulting or professional services contexts Staffworx are a UK based Talent & Recruiting Partner, supporting Digital Commerce, Software and Business Consulting sectors across the UK & EMEA.

QA Automation Engineer London - 2 days in the office Up to £60,000 plus benefits This is an exciting opportunity to join a high‑growth technology environment where quality engineering plays a central role. You will help shape a modern test automation function, working with advanced tooling, AI‑assisted approaches, and a microservices architecture to improve reliability, performance, and delivery speed. The Company They are a fast‑scaling technology business developing an innovative digital product that empowers users through data, behavioural insight, and exceptional user experience design. Their teams work in cross‑functional squads, collaborating closely to deliver a product that is continually evolving. With strong investment and a culture built around innovation, they offer an environment where engineering decisions genuinely influence product outcomes. The Role • Develop and enhance automated test suites to reduce manual testing., • Contribute to the delivery of a modern financial technology product in a scale‑up setting., • Collaborate with product managers, developers, and QA peers to ensure clarity, consistency, and testability of requirements., • Use AI tools to accelerate test creation, debugging, and synthetic data generation., • Plan, design, and execute testing across smoke, regression, functional, and performance areas., • Create and maintain test documentation., • Work within Agile squads, contributing to planning, estimation, and continuous improvement., • Support the adoption and expansion of test automation across the wider QA community. Your Skills and Experience You bring • Strong commercial experience in QA automation using Java or Kotlin., • Hands‑on use of AI tools to enhance productivity., • A deep understanding of OOP principles., • Proficiency in HTML, CSS, JavaScript, and modern web architecture., • Strong API testing capability using tools such as RestAssured, Feign, Swagger, or Postman., • Experience writing UI tests with Selenium, Selenide, or Playwright., • Familiarity with TestNG, JUnit, and SQL for data validation., • Experience with monitoring and debugging tools such as Sentry or Elasticsearch., • Understanding of performance testing concepts and tools like JMeter or Gatling., • Experience using test management systems (for example TestRail) and project tools such as Jira and Confluence., • Knowledge of CI/CD pipelines, ideally GitHub Actions., • Experience working in an Agile, fast‑paced environment, ideally with microservices. What They Offer • Salary up to £60,000 depending on experience., • Hybrid working in London., • Private healthcare, wellbeing support, and family‑friendly policies., • 25 days annual leave plus inclusive, balanced team socials., • Pension contributions and optional salary sacrifice arrangements., • Support for professional development and access to a modern, welcoming workspace. How to Apply If this sounds like the right next step for you, please apply with your CV and we will be in touch.

Graduate Transport Planner/ Traffic Engineer September 2026 start - Hiring in our London and Bristol Office. About Us Our Values: Excellence; Innovation; Collaboration; Ethics; Sustainability We are a multi-disciplinary consultancy delivering services across the UK within the construction, transportation, highways, and infrastructure sectors. Our business has been built on exceptional people and commitment to service excellence. Our in-depth knowledge of the areas in which we work in, allows us to provide considered advice on development and investment strategies, risk management, procurement strategy and design development. As a business that designs and delivers projects, from office buildings and homes to entire public realms and streetscapes, we understand that reflecting the needs of the communities we serve is key to long-term success - not just for our clients but for those that use and interact with these spaces. We pride ourselves on our culture of supportive growth; providing mentoring opportunities and assisting with both professional and personal development. We know our people are the heart of our success and we really love what we do – we work smarter, together. Opportunity Our Traffic and Transportation team are based in our London and Bristol offices, specialising in undertaking transport planning studies, and developing traffic and transportation schemes for both public and private sector clients through services including design, transport planning and traffic modelling. In this role you will be providing valuable support to the team by undertaking Transport Statements, Transport Assessments, Travel Plans, design work, data analysis, model construction calibration and validation, report writing and scheme assessments. This is a permanent role to be based in our London or Bristol office. We have hybrid working where we aim for around two days per week in the office or on-site as required, and the remainder time working from home. Our full-time hours are 40 hours per week, but we embrace flexibility and welcome applications from those seeking part time work. About You Being in the earlier stages of your career, you are looking to enter the professional workforce, or you may be a recent post-graduate looking to take your first step into the working environment to put your learning and knowledge into practice. You will enjoy working as part of a close-knit team, and be confident with your communication through strong written, spoken and presentational skills. You will have good numerical and analytical skills, with high attention to detail, and be capable of effectively prioritising your workload to meet agreed deadlines. To be considered for this opportunity, you must: • Have the right to live and work in the UK, • Hold a degree in a relevant subject or have previous transport engineering or planning experience, • Be highly capable in using MS Office, especially Excel Additionally, the following are not essential but are highly beneficial to your application: • Post graduate qualification in transport planning As we use a variety of software packages, working experience of any of the below will also be advantageous: • AutoCAD, • GIS applications (e.g. ArcGIS or similar), • TRL Junctions 10 (ARCADY/PICADY), • TRICS, • JCT LinSig, • TRL TRANSYT, • PTV VISSIM, • PARAMICS, • PTV VISUM Salary and Benefits An excellent benefits package will be offered to the successful applicant which will include; • Competitive Salary, • Private Healthcare, • Workplace Pension, • Training and Development, • Sponsorship of Professional Membership, • Eligibility for a performance related bonus

Applied AI / Automation Engineer 📍 London (Hybrid) 💰 Up to £120,000 (Depending on experience) 📅 12-month FTC We’re partnering with a highly regarded investment-focused organisation to hire an Applied AI / Automation Engineer into their London team. This is a hands-on, high-impact role focused on building an intelligent automation platform that transforms complex operational workflows into scalable, production-grade systems. The Role You’ll take ownership of designing and delivering an end-to-end AI-driven reporting and automation platform, working closely with Data Science and operational stakeholders. This is a build-from-scratch opportunity — ideal for someone who enjoys solving real-world complexity and turning manual processes into robust, automated systems. What You’ll Be Doing • Designing and building an automated reporting platform from the ground up, • Creating intelligent workflows across data ingestion, validation, and reconciliation, • Implementing AI-driven and agent-based automation to streamline operations, • Introducing exception handling and human-in-the-loop systems where needed, • Ensuring systems are accurate, auditable, and production-ready, • Partnering closely with product and operations teams to translate business problems into scalable solutions, • Evolving tooling into a maintainable internal product, not just scripts What They’re Looking For • Strong experience in Python, SQL, and automation engineering, • Proven track record building data pipelines and production systems, • Experience integrating systems via APIs and structured data feeds, • Solid understanding of CI/CD, testing, and system reliability, • Strong systems thinking and end-to-end architecture capability, • Ability to work closely with non-technical stakeholders Nice to have: • Experience in financial services / regulated environments, • Exposure to reconciliation, accounting, or control processes, • Experience with workflow orchestration tools or internal platforms, • Frontend/tooling exposure (e.g. React / TypeScript) Why Join? • Opportunity to build a greenfield AI platform with real business impact, • Work at the intersection of AI, automation, and complex financial systems, • Highly collaborative environment with strong technical ownership, • Chance to shape how AI is applied to real-world operational workflows

Reed.co.uk is looking for an Analytics Engineer to join their Insights Team in Holborn, London. Job Description Reed.co.uk is looking for an Analytics Engineer to join their Insights Team in Holborn, London. Salary: £55,000 - £65,000 per annum Overview At Reed.co.uk, we believe the world should Love Mondays. We’re looking for an Analytics Engineer to help scale our modern data platform and enable high-quality, self-serve analytics across the business. You’ll partner with Commercial and Marketing teams to deliver reliable, impactful data solutions, owning key datasets and driving better decision-making. What success looks like in this role: Within 3 months: You’re contributing to dbt models and comfortable navigating our data stack Within 6 months: You’re owning datasets and delivering end-to-end projects with stakeholders Within 12 months: You’ve significantly improved data quality, modelling standards, and self-serve adoption across our Marketing and Commercial teams. Key Responsibilities • Design, build, and maintain scalable, well-tested data models using dbt, • Develop, optimise, and maintain reliable data pipelines within Snowflake, with a focus on performance and cost efficiency, • Translate business requirements into robust, maintainable, and reusable data products, • Partner with stakeholders and Analytics Business Partners to deliver impactful data solutions, • Build and evolve a semantic layer (e.g. Looker/LookML) to enable self-serve analytics, • Ensure data quality through automated testing, validation, and monitoring, proactively identifying, investigating, and resolving data issues, • Own data projects end-to-end, from discovery and design through to delivery and iteration, • Collaborate with Analysts and Data Scientists to deliver trusted datasets powering dashboards, insights and other data products, • Document data models and ensure clear data definitions to support consistency across reporting Skills and Experience • 3+ years’ experience as an Analytics Engineer, BI Engineer, or similar, • Strong hands-on experience with dbt (modelling, incremental models, macros, testing, documentation), • Advanced SQL skills and solid understanding of analytical data modelling (Kimball, Star schema, etc.), • Experience working with Snowflake or similar cloud data warehouses, including query optimisation, • Experience building data models that support business-facing analytics and reporting, • Familiarity with BI tools (Looker preferred; Tableau, Power BI, ThoughtSpot also relevant), • Strong stakeholder management and communication skills, with the ability to translate business needs into data solutions and present complex problems to a non-technical audience, • Strong attention to detail, with a proactive approach to testing, monitoring, and improving data quality, • Experience working with version control (git), CI/CD, and agile development practices, • Ability to manage multiple projects and work independently on well-defined problems Desirable Skills • Experience working with Salesforce, CRM and performance marketing data, • Experience working on large-scale data transformation or platform modernisation projects Tech Stack • Warehouse: Snowflake, • Transformation: dbt, • BI: Looker, • Orchestration: Airflow, • Version Control: GitHub, • Other Tools: Adverity, OpenMetadata, Jira, Confluence Benefits • Hybrid working (minimum of 3 days per week in office), • 25 days annual leave plus bank holidays, • Flexible holiday scheme, • Paid time off to move home, • Contributory pension scheme, • Enhanced family leave benefits, • Insurance benefits including life assurance, • Love Mondays events, • Discount scheme including gyms and popular retailers, • Range of wellbeing and mental health support avenues, • Office in a fantastic location, with countless bars, restaurants and theatres right on the doorstep, • These are just some great benefits we offer everyone working at Reed.co.uk!

I’m working with a well-backed, early-stage company in London building personalised cancer vaccines. They treat this as a deep technical challenge first: modelling the evolutionary arms race between tumours and the immune system, where signals are sparse, ground truth is costly, and predictions need to be trustworthy in the clinic. Small, driven team + real patient projects and data from day one - no waiting around. They’re hiring a Founding ML Engineer to own and build the core ML platform that designs these vaccines. The problem space is unusually interesting: • Sequence models + structured prediction for neoantigen targeting, • Evolutionary dynamics, selection pressures, inference from limited/noisy observations, • Game-theoretic thinking about tumour-immune interactions You’ll go from research ideas → production systems: standing up training infra, leveraging serious compute, prioritising clean abstractions. They want someone who: • Has strong mathematical foundations (reads methods sections in top papers comfortably), • Brings a genuine publication record in strong venues (NeurIPS, ICLR, ICML etc.), • Can independently build foundational models - mix of fine-tuning SOTA architectures + designing from scratch, • Is passionate about hard, high-stakes prediction problems (sceptical of pure leaderboard chasing), • Can ship fast without regrettable tech debt Biological domain knowledge helpful but not required - they’ll teach the oncology context. Why this role stands out • Backed by genuine industry leaders + top US VCs, • Strong initial funding and long runway, • Live customer projects - impact from week one, • Large R&D budget + fast experimental validation loops for models, • Flexible start dates (finishing PhD later in 2026? No issue) Hands-on founding role with real ownership. London-based. Salary: £100,000 - £200,000+ meaningful equity (they pay for impact). Central London (On-site)

Mechanical Design Engineer (CAD Tooling) – Greenwich – 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

Aurum Research Limited is looking to hire into its London based research office, based in Fitzrovia. Aurum Fund Management Ltd. is a hedge fund investment specialist investing client’s capital since 1994, focused on solely selecting hedge funds and managing fund of hedge fund portfolios. Aurum’s purpose as a business is to grow and protect not only client’s capital but also our environmental capital, our planet and our social capital and we express this through embedded impact. Aurum is a flexible and dynamic organisation, encouraging a collaborative and innovative working environment. At Aurum, we understand creating a culture of equality isn’t just the right thing to do, it’s also the smart thing. Diverse companies are more innovative and better positioned to succeed. Everyone is welcome – as an inclusive workplace, people can be themselves in an environment that both supports and includes them. Your Role: We are seeking a highly capable Applied AI / Automation Engineer to join our Data Science team, on a 12-month fixed-term contract. This role will focus on designing and building an intelligent reporting platform to support our Fund Administration team. The role reports directly to the Head of Data Science and will partner closely with a designated Product Manager within the Fund Administration team, to deliver measurable efficiency gains and scalable operational improvements. Day-to-day priorities will be operationally aligned in partnership with the Administration team, while maintaining technical ownership within Data Science. The objective is to incrementally transform reporting production and reconciliation workflows, using contemporary data engineering, AI, and agent-based technologies. This is a hands-on, high-impact engineering role focused on building robust, production-grade systems in a complex real-world financial environment. Key Responsibilities: • Own the design and delivery of an end-to-end automated reporting platform., • Design and implement intelligent workflows to automate data ingestion, validation, reconciliation, and NAV calculation — replacing manual operational processes with scalable, observable, and controlled systems., • Design exception-handling and human-in-the-loop mechanisms where full automation is not appropriate., • Ensure accuracy, auditability, and operational resilience of the NAV platform., • Partner with the Fund Administration Product Manager to translate operational complexity into structured technical solutions., • Evolve the system into a maintainable internal product rather than a collection of scripts, • Within 12 months, you will have delivered a robust, production-grade NAV automation platform that materially reduces manual reconciliation effort, improves operational transparency, and establishes a scalable foundation for future AI-driven enhancements Qualifications & Experience: • Strong automation engineering capability and ability to apply AI in real operational environments, • Strong hands-on experience in Python and SQL., • Experience designing and implementing data pipelines and automation systems., • Experience integrating multiple systems via APIs and structured data feeds., • Experience building reliable, monitored, and maintainable production systems., • Experience using version control (e.g., Git) and CI/CD pipelines., • Experience implementing testing strategies to ensure system accuracy and reliability., • Strong systems thinking and ability to architect end-to-end solutions., • Strong communication skills and ability to work cross-functionally with operations teams., • Exposure to reconciliation, accounting, or control-focused workflows, • Experience building systems in regulated or audit-sensitive contexts, • Familiarity with workflow orchestration tools, • Experience productising internal automation into scalable applications, including operational dashboards or internal tools (e.g., TypeScript, React, Next.js or similar) This is an interesting opportunity to design and build an AI-driven operational system from the ground up. With the application of AI agents and automation, the role has the potential to shape how modern AI augments and automates fund operations. Please note that all candidates must be eligible to work in the UK. We are committed to ensuring a fair and transparent recruitment process. As part of our efforts to efficiently review and analyse applications, we may use artificial intelligence (AI) tools to assist in processing the information provided in your CV. These tools are used solely to help us organise and identify relevant qualifications, experiences, and skills to match candidates with the requirements of the role. Please note that AI will not make any recruitment decisions on its own; all decisions will be made by our recruitment team, who will carefully review all applications and ensure that they are assessed fairly. If you have any concerns or questions about our use of AI in the recruitment process, please do not hesitate to contact us. The information on your CV, your application, and any other information you submit to us directly or via a recruitment company or similar online service will be used by the Aurum group for the purpose of considering you for employment and processing your application in accordance with our privacy policy at .

Title: Senior Process Engineer or Process Engineer Location: Watford, England Full-Time About the Role We are seeking a Process Engineer with strong process design and project delivery experience to support engineering projects across the pharmaceutical and life sciences sectors. This role focuses on the design, development, and optimisation of GMP manufacturing processes and facilities, supporting projects from concept and feasibility through FEED and detailed design. The successful candidate will contribute to the design of pharmaceutical production systems, clean utilities, and process infrastructure, ensuring compliance with regulatory standards while delivering efficient, scalable solutions. Working within a multidisciplinary engineering team, you will play a key role in translating process requirements into robust engineering designs that support pharmaceutical manufacturing operations. Key Responsibilities • Develop process engineering designs for pharmaceutical and life sciences manufacturing systems, • Produce and review Process Flow Diagrams (PFDs), P&IDs, and process design documentation, • Perform mass and energy balances, process calculations, and equipment sizing, • Prepare equipment specifications and datasheets for process systems and utilities, • Support concept, feasibility, FEED, and detailed engineering design stages, • Contribute to the design of GMP manufacturing facilities and cleanroom process environments, • Participate in design reviews, HAZOP studies, and risk assessments, • Work with multidisciplinary teams including mechanical, automation, and validation engineers, • Support process scale-up, technology transfer, and process validation activities, • Provide technical input during installation, commissioning, and start-up Requirements • Degree in Chemical Engineering, Process Engineering, or Biochemical Engineering, • Experience working in life sciences engineering environment or consulting environment, • Demonstrable experience delivering process engineering design documentation, • Strong understanding of GMP manufacturing and regulated environments, • Experience performing process calculations, equipment sizing, and system design, • Ability to work within multidisciplinary project teams delivering engineering projects Desirable Experience • Experience designing biopharmaceutical, sterile, or API manufacturing processes, • Experience with CIP/SIP system design, • Familiarity with pharmaceutical facility design projects or capital expansions, • Exposure to process modelling or simulation tools Looks interesting? Apply direct or reach me on. 020 3967 2338 | ext 1133

About Native Native is a VC-backed AI startup building the world’s most accurate AI for database reasoning. This is hard. This is an unsolved problem that, once solved, will change how every enterprise operates. We recently published our results, achieving rank #1 on the industry-standard benchmark. Our research team is based in London. Everyone has high agency, is obsessed with the problem we are solving, embraces the intensity of a 6-day week, and has the ambition to build something world-changing. We are exceptional engineers and researchers taking a novel approach to accurate database reasoning. About the role This is a founding Data Engineer role, with the opportunity to shape our data and backend architecture from day one. • Productionise research into robust, scalable data and backend systems, • Design and build data pipelines and APIs used by internal systems and customers, • Work deeply with databases (SQL, complex schemas, real-world, messy enterprise data), • Design and operate data ingestion, transformation, and validation workflows, • Own scaling, performance, reliability, and correctness of data systems, • Design for observability, reproducibility, and data quality, • Think through edge cases, failure modes, and system boundaries in real-world data, • Help shape the data and backend architecture of the company from its earliest days Required experience • Strong experience with Python in production data or backend systems, plus familiarity with at least one additional backend language (e.g. Rust, Java, Go), • Experience building and running production data systems (pipelines, storage layers, APIs), • Deep comfort working with SQL, schemas, and complex relational data, • Experience with real-world data issues: missing data, inconsistencies, schema drift, scale, • Comfortable turning ambiguous research ideas into reliable data infrastructure, • Solid understanding of APIs, databases, and distributed systems, • Engineering taste: you care about clarity, correctness, and trade-offs, • High ownership mindset. You ship, you own, you improve Why join us This is a rare chance to join a founding team operating at the frontier of AI, with the resources to win. • Impact: You will help push the frontier of AI-native data systems in an under-explored, massively valuable domain, • Team: A small, collaborative, world-class research and engineering team based in central London, • Founding-level equity + competitive salary: Meaningful ownership alongside a salary that lets you focus on building something great, • Direction: Shape the data foundations of a new class of AI system from day one Culture At Native, we look for people with exceptional engineering ability who want to win. Everyone loves building and is ambitious enough to want to change how the world operates for the better. • We run towards hard problems, • We are creative problem solvers who keep going until we find the underlying principle, • We build systems that must be correct, robust, and trusted, • If you have an entrepreneurial spirit, are intrinsically motivated, and want to have a huge impact, we are a great fit

We are seeking an RF Electronics Engineer to support the design and development of high-performance RF hardware used in advanced electronic systems. You will work with multidisciplinary engineering teams to design, test, and validate RF circuits and subsystems across the product development lifecycle. This role is based in Sydney, Australia, and relocation will be required. The company will sponsor work visa sponsorship for suitable candidates. Key Responsibilities • Design and develop RF electronic circuits and subsystems, • Contribute to schematic and PCB design using industry standard tools, • Develop RF signal chains including filters, amplifiers, low noise amplifiers (LNA), and RF front-end circuitry, • Perform RF testing and validation using lab equipment such as vector network analyzers (VNA), spectrum analyzers, and signal generators, • Troubleshoot hardware issues and support root cause analysis, • Assist with system integration, validation, and production support, • Collaborate with systems, firmware, and mechanical engineering teams Requirements • Degree in Electronics Engineering, RF Engineering, or related discipline, • 5+ years experience in RF hardware or electronics development, • Experience working with RF test equipment (VNA, spectrum analyzer, signal generator), • Familiarity with schematic and PCB design tools (Altium or similar), • Understanding of RF design principles including RF amplification, filtering, impedance matching, and receiver front-end design, • Experience with low noise amplifiers (LNA) and RF front-end circuitry is highly desirable, • Experience with RF power amplifiers or RF front-end design Nice to Have • Knowledge of antenna systems or antenna integration, • Experience with RF simulation tools (ADS, Microwave Office, or similar), • Exposure to software defined radio (SDR) Don’t miss out, Apply now! If you want to discuss further, contact Princes at Profound People 📧

Department Tech Employment Type Full-time, London Office Attendance Expectation Hybrid About the role At &Dine, we’re building a community of food lovers, connecting exceptional independent makers with teams who want better food at work. We’re looking for a Senior Software Engineer who cares about quality, performance, and product impact - someone who enjoys solving real-world problems at scale and shaping how a platform grows, not just writing code. You’ll work across front-end, back-end, and infrastructure, partnering closely with product, operations, and design to deliver reliable, elegant solutions across ordering, payments, logistics, and internal tools. What you'll be doing • Lead development across key product areas from concept to production, • Build high-quality front-end features using a modern JS stack (Vue/Nuxt or similar), • Design and maintain scalable APIs and services in Node.js with SQL/Sequelize, • Mentor junior engineers through code reviews, pairing, and technical guidance, • Help shape our technical roadmap and introduce new tools, frameworks, and practices where they make sense, • Own technical decisions around architecture, performance, and reliability, • Collaborate with product and operations to translate business needs into robust solutions, • Improve system observability, monitoring, and incident response, • Identify technical debt and proactively drive refactors, • Support CI/CD, deployment pipelines, and environment management What we're looking for • Strong experience as a Senior Software Engineer or equivalent, • Proven ability to guide and support junior developers, • Deep knowledge of modern front-end frameworks (Vue, React, or similar), • Solid back-end experience with Node.js and relational databases (Postgres/MySQL) using ORMs such as Sequelize, • Confidence in evaluating and adopting new technologies pragmatically, • A product-led mindset: you care about outcomes, not just implementations, • Comfortable in a fast-moving startup environment, • Clear communicator across technical and non-technical teams, • A genuine interest in food, hospitality, or building better workplace experiences Front-end Experience with some of the following, or a strong willingness to learn: • JavaScript / TypeScript – modern ES standards, async patterns, clean architecture, • Frameworks – Vue / Nuxt (or React / Next.js), component-based development, • State management – Vuex, Pinia, or equivalent patterns, • API integration – REST/JSON, error handling, loading states, • Performance – bundle optimisation, code splitting, rendering strategies, • Accessibility & UX – semantic HTML, responsive design, usability best practice, • Testing – unit and component testing (Jest, Vitest, Testing Library, Cypress/Playwright), • Version control – Git workflows, PR reviews, and collaboration Back-end Experience with some of the following, or a strong willingness to learn: • Node.js – building scalable, maintainable services, • APIs – RESTful design (GraphQL a plus), authentication, validation, rate limiting, • Databases – PostgreSQL / MySQL, schema design, indexing, query optimisation, • ORMs – Sequelize or similar (migrations, associations, transactions), • Business logic – handling payments, scheduling, pricing, permissions, and workflows, • Testing – unit, integration, and API testing, • Security – data protection, authentication, role-based access, and best practices DevOps/Infrastructure Experience with some of the following, or a strong willingness to learn: • CI/CD – GitHub Actions, GitLab CI, or similar automated pipelines, • Cloud platforms – AWS, GCP, or Azure, • Containerisation – Docker and environment configuration, • Deployments – staging/production environments, rollback strategies, • Monitoring & logging – error tracking, performance monitoring, alerting, • Reliability – uptime, backups, and incident response Engineering Practices • Writing clean, maintainable, well-documented code, • Code reviews and constructive technical feedback, • Coaching juniors and helping them level up technically, • Evaluating new technologies and introducing them where they deliver clear value, • Designing systems with scalability, performance, and security in mind, • Pragmatic decision-making in a startup environment Bonus points if you • Have led or owned major product areas or technical initiatives, • Have introduced new tools, frameworks, or processes that improved delivery or quality, • Have experience with Nuxt, server-side rendering, or marketplace platforms, • Have any of the certificates LPIC-1, LPIC-2 or AWS associate, professional or specialist, • Have experience being Security Champion and knowing STRIDE, PASTA and Hybrid, • Have worked on B2B, payments, logistics, or operationally complex systems, • Care deeply about food, hospitality, and how shared meals bring people together Benefits of working at &Dine • Join our options pool and be a business owner!, • £250 learning and development budget. Here we’ve got some courses that may be beneficial to your development at &Dine., • Charlie HR. Secure great offers too from top retailers such as John Lewis and Samsung via our HR Platform., • Enjoy your birthday. Take a day off for your birthday - on us!, • £500 referral bonuses. If you bring in a new face to the business, once they have passed their probation period, you will receive £500!, • Team socials. We’re big foodies, so you’ll be sure to enjoy some food and drink with us, as well as some great activities!, • Work abroad for 1 week

COSTAR GROUP - SENIOR SALES ENGINEER, MATTERPORT - LONDON OVERVIEW CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index and the NASDAQ 100, CoStar Group is on a mission to digitize the world’s real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives. We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We’ve continually refined, transformed, and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate. ABOUT MATTERPORT Matterport, part of CoStar Group, is leading the digital transformation of the built world. Our groundbreaking spatial computing platform turns buildings into data making every space more valuable and accessible. Millions of buildings in more than 177 countries have been transformed into immersive Matterport digital twins to improve every part of the building lifecycle from planning, construction, and operations to documentation, appraisal, and marketing. Learn more about Matterport. DESCRIPTION We are seeking a Senior Sales Engineer to support the accelerating global demand for Matterport’s platform and solutions. This role represents a senior level of individual technical leadership within the Sales Engineering organization and is designed for a deeply experienced technical sales professional who operates as a strategic advisor, internal authority, and external thought leader. This position owns the most complex and business-critical technical engagements, shapes how Matterport sells and deploys solutions at scale, and materially influences product direction, go-to-market strategy, and enterprise customer success. The role reports to the regional Sales Engineering leader and operates with a high degree of autonomy and accountability across regions, accounts, and teams. RESPONSIBILITIES Enterprise & Strategic Technical Leadership • Serve as the primary technical authority for complex, high-value, and strategically significant sales opportunities, including channel, enterprise and global accounts., • Advise executive-level customer stakeholders on architectural decisions, security posture, integrations, and long-term platform strategy., • Act as a trusted technical advisor to internal sales leadership on deal strategy, risk assessment, and solution positioning., • Define and lead advanced solution architectures, custom integrations, and proof-of-concept engagements that address ambiguous, multi-system customer requirements., • Set technical standards for demonstrations, pilots, and solution validation efforts across the Sales Engineering organization., • Own and guide resolution of non-standard, high-risk technical challenges with accountability for outcomes that impact revenue and customer trust., • Organizational Thought Leadership, • Establish best practices, methodologies, and technical frameworks used by the broader Sales Engineering team., • Influence company-wide technical selling strategy, including how Matterport positions security, integrations, data workflows, and platform extensibility., • Serve as a recognized internal subject matter expert across 3D capture, spatial data workflows, cloud architecture, and enterprise integrations. Cross-Functional Influence • Provide authoritative field insight to Product Management, Product Marketing, Security, and R&D to shape roadmap prioritization, enterprise readiness, and competitive differentiation., • Translate customer and partner needs into actionable product and platform recommendations with clear business rationale., • Contribute to broader organizational initiatives that require deep technical and commercial judgment. Enablement & Technical Mentorship • Design and deliver advanced technical training programs for Sales Engineers, Account Executives, and strategic partners., • Mentor junior and mid-level Sales Engineers, raising the overall technical bar of the organization., • Guide onboarding and development frameworks to support scale, consistency, and technical excellence. Security & Risk Leadership • Lead enterprise-level security, privacy, and compliance discussions with customers and partners., • Act as a technical escalation point for security-related inquiries and solution reviews., • Partner with internal security and legal stakeholders to align customer requirements with Matterport’s policies and capabilities., • External Representation, • Represent Matterport as a technical thought leader at industry events, executive briefings, webinars, and conferences., • Engage with strategic partners and ecosystem vendors to define joint solution approaches and integration strategies. Leadership Continuity • Provide leadership coverage and decision-making support during manager absences., • May direct or coordinate the activities of other Sales Engineers on complex initiatives without formal people-management responsibility. QUALIFICATIONS • Bachelor’s degree or equivalent experience, • In-depth experience supporting B2B SaaS solutions in a pre-sales or technical consulting capacity, with demonstrated enterprise-level impact., • Proven history of long-term commitment and progression within prior organizations., • Exceptional executive-level communication skills, with the ability to influence technical and non-technical stakeholders across functions and seniority levels., • Experience with APIs, SDKs, and custom integrations, including hands-on prototyping using technologies such as JavaScript and GraphQL., • Advanced understanding of 3D data types (models, point clouds, imagery) and the workflows customers use to operationalize spatial data., • Strong knowledge of cloud platforms, security architecture, and authentication technologies (e.g., AWS, SAML, OAuth)., • Working understanding of machine learning and AI concepts as applied to data-driven products., • Willingness and ability to travel up to 50% as business needs require., • In addition to requirement for English, either French or German is highly preferred, Spanish or Italian would also be advantageous. Preferred Qualifications • Extensive expertise in reality capture technologies and the competitive landscape., • Deep knowledge of the Matterport platform, ecosystem integrations, and partner offerings., • Advanced familiarity with 3D modelling, visualization, and construction/engineering platforms such as Autodesk, SketchUp, Procore, PlanGrid, Unity, Unreal Engine, or similar., • Experience shaping technical strategy for large partners or enterprise customers., • Recognized externally or internally as a subject matter expert in spatial data or related technologies. WHAT’S IN IT FOR YOU? Working at CoStar Group means you'll enjoy a culture of collaboration and innovation that attracts the best and brightest across a broad range of disciplines. As well as having an outstanding working environment based in the Blue Fin or one of our key UK-wide hubs. Other perks include full private medical cover, dental cover, Life Assurance and member rewards, 28 days annual leave, a competitive pension, season ticket loans, enhanced maternity and paternity pay and much more! At CoStar, we recognise the positive value of diversity and promote equality. We aim at all times to recruit the person who is most suited to the job and welcome applications from people of all backgrounds including but not limited to; people of all genders, of all ages, sexual orientations, ethnicities, nationalities, religions and beliefs. #Matterport #LI-ST3 CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing

Robotics Software Engineer – Flight Software Location: Oxfordshire or London (remote first, monthly office visit) Salary: up to £55,000 + benefits I’m supporting a fast-growing UK start-up that is building cutting-edge assurance systems to make AI-enabled robotics and autonomous systems operate safely and reliably in safety‑critical environments. They are looking for a Robotics Software Engineer to join the team developing core robotics software components that underpin perception, planning, control and decision‑making in complex autonomous platforms. You will: • Design, develop and implement robotics software components within a core robotics product., • Support algorithms and systems for perception, planning, control and decision‑making., • Work closely with embedded software, systems and AI/ML engineers to integrate components into the wider system., • Contribute to testing, validation and optimisation to meet performance and reliability requirements., • Help improve development processes, tooling and testing practices., • Stay current with the latest robotics software frameworks, tools and algorithms. What you’ll need • Degree in Computer Science, Robotics, Aerospace, Electrical Engineering or similar., • Experience developing software for robotics, embedded or autonomous systems (industry, research or substantial projects)., • Proficiency in C/C++ and/or Python., • Familiarity with robotics tools such as ROS, Gazebo or MoveIt., • Understanding of core robotics concepts (perception, planning, control, state estimation)., • Experience with modern software practices: version control, testing, CI., • Strong problem-solving and debugging skills, and the ability to collaborate in a multidisciplinary team., • Eligibility to obtain UK SC clearance. Nice to have • Exposure to safety‑critical software standards (e.g. DO‑178C, ISO 26262, IEC 61508)., • Experience with simulation environments and/or robotic hardware. Culture and benefits You’ll be joining a small, ambitious start-up where you can take real ownership, work across boundaries, and help shape both the product and the engineering culture. It’s an environment for people who are curious, proactive and motivated by solving challenging problems in AI, robotics and autonomy. Benefits include: • Up to £55,000 salary (depending on experience)., • Salary sacrifice pension with 5% matched contribution., • Generous holiday allowance., • EV car scheme., • Cycle to Work scheme., • Additional benefits as the company grows. If you’re excited about working at the intersection of robotics, autonomy and safety – and want to help set the standard for safe autonomous systems – I’d love to hear from you.

BMS Commissioning Engineer - 6 Month Contract Edison Smart are currently supporting a leading BMS provider with immediate commissioning requirements across multiple critical facilities projects in and around London. This role is suited to experienced BMS Commissioning Engineers with a strong background in delivering projects within high-spec environments such as data centres, pharma, or other mission-critical sites. Key Responsibilities • Commissioning of BMS systems across new and existing critical facilities, • Working with Tridium Niagara (Niagara N4) for integration, testing and optimisation, • Point-to-point checks, functional testing, and system validation, • Supporting FAT/SAT and site acceptance processes, • Diagnosing and resolving commissioning issues across HVAC and plant systems, • Working closely with project managers, controls engineers, and site teams, • Ensuring systems are delivered in line with project specifications and timelines Required Experience • Proven background in BMS commissioning within critical or high-value environments, • Strong experience with Tridium Niagara (N4 essential), • Good understanding of HVAC plant, control strategies, and system integration, • Ability to work independently on-site and manage commissioning phases, • Experience working on live or fast-paced construction/upgrade projects Contract Details • 6-month initial contract with strong likelihood of extension, • London-based projects, must be commutable, • Immediate or short notice availability preferred Why this role • Opportunity to work with one of Europe’s most established BMS specialists, • Exposure to large-scale, technically complex critical facilities, • Strong pipeline of ongoing and upcoming projects

PaymentGenes is proud to be partnering with a high-growth, international technology business to appoint a Lead AI Automation Engineer. This is a rare opportunity to design and deploy enterprise-grade, AI-native automation at scale within a complex global environment. If you are excited by building intelligent agent systems that move beyond experimentation into real operational impact, this role is for you. This is not a chatbot role! This is about designing intelligent, production-grade AI systems that transform how businesses operate. You will work hands-on with cutting-edge foundation models and orchestration platforms to build autonomous agents, copilots, and intelligent workflows that integrate directly into core enterprise systems. If you think in systems, move fast, and love turning AI capability into measurable business impact — we want to hear from you. What You’ll Do Design AI-Native Workflows • Architect intelligent agents using advanced reasoning models, • Structure prompts for reliability, determinism, and auditability, • Build multi-step agent workflows using orchestration frameworks, • Develop autonomous and human-in-the-loop systems, • Deliver production workflows in Power Automate, • Connect AI agents to CRM, ERP, Finance, Support, and internal systems, • Automate document processing, approvals, reconciliations, and reporting, • Modular task decomposition, • Guardrails and validation layers, • Structured output validation (JSON schemas, rule checks), • Logging, observability, fallback logic, and confidence scoring, • Ensure explainability and traceability, • Design compliant automation aligned to enterprise standards, • Identify high-ROI use cases across departments, • Develop reusable AI automation templates, • Help establish internal AI standards and best practices Tech Environment AI & Agents • Advanced reasoning models (e.g. Claude), • Code generation models (e.g. Codex), • Prompt engineering & evaluation frameworks, • RAG architectures, • Agent orchestration frameworks (e.g. Antigravity), • Power Automate, • API-first integrations, • Python, • REST APIs, • SQL, • Git-based version control, • Secure secrets handling What We’re Looking For • 5–8+ years in automation engineering, AI systems, or solutions architecture, • Experience deploying LLM-powered workflows in production, • Proven ability to automate complex business processes end-to-end, • Experience integrating AI into enterprise environments at scale You’ll Thrive If You Have: • Strong systems thinking, • An AI-first mindset, • High execution velocity, • Comfort operating across business and technical domains, • The ability to balance bold automation with responsible risk control Example Projects You Might Deliver • AI-powered contract review & extraction pipeline, • Autonomous finance reconciliation assistant, • Support triage agent integrated via enterprise workflow tools, • Internal knowledge copilot with RAG, • CRM enrichment and proposal generation workflows This is a high-impact opportunity to shape how AI operates inside a global business environment. You’ll be empowered to experiment, build, ship, and scale real systems that matter. If this excites you, please reach out to the PaymentGenes team directly via LinkedIn, who can provide more detail and insight into this company's journey into AI and the opportunity.