Validation engineer jobs in United Kingdom

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., • Provide technical leadership and mentoring to junior engineers in the design, analysis, and commissioning of protection systems. What we’re looking for: • 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., • Candidate should have good knowledge & experience working with AutoCAD. Qualifications: • 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

Job Title: Principal Systems Engineer Location: Frimley, Hybrid, 3 days on site weekly We offer a range of hybrid and flexible working arrangements – please speak to your recruiter about the options for this particular role Salary: £47,241+ (Commensurate with skills and experience) Who we are: Join BAE Systems and you’ll be part of something bigger. As a valued member of our global colleague network, you’ll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You’ll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow – shaping a safer future, for all of us. From the depths of the ocean, to the far reaches of space – there’s no limit to where a career at BAE Systems could take you. What you’ll be doing: In this role, you will provide technical ownership of CCS design, supporting the Engineering Manager in delivering in-service programmes and leading key design decisions. You will oversee project scope, manage design changes and work closely with stakeholders and suppliers to identify and address risks early. You will lead programme-level design reviews, coordinate stakeholders and manage design baselines while ensuring design governance is maintained and Certificates of Design are produced where required. You will also review and influence technical requirements and architecture to support effective system integration across sub-systems and specialist areas, while providing subject matter expertise in the integration, validation and verification of systems. Core duties: • You’ll have extensive experience in network or software engineering, ideally with a background in operations, • You’ll have the ability to take the lead on technical matters and provide expert guidance, • You’ll have Chartered Engineer status or be working towards it, • You’ll have familiarity with DOORS and prior hands-on experience using it, • You’ll have proven experience in change management processes The In-Service Programme team: You will be joining the In-Service Programme team, working on the V Class, where you’ll thrive in a fast-paced environment, delivering high-quality results within tight enterprise timelines. As part of a medium-sized core team of 6-12, you’ll also collaborate with a wider group of around 30, engaging with a broad stakeholder network. This role demands technical leadership, owning challenges, proactively solving problems, and working with the right stakeholders to drive solutions forward. We offer relocation support packages across all Submarines roles, subject to meeting eligibility criteria. Why BAE Systems? Here you’ll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work – this is a place where you can grow your career with confidence and be empowered to be your best. You’ll be recognised for your contribution and enjoy rewards tailored to what’s most important to you and your family – support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive. We’re committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks. Closing Date: 31st May 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible. #LI- KI1 #LI-Hybrid

Job Title: AI Engineer Location: Remote / Onsite / Hybrid Job Type: Full-time / Contract About the Role We are seeking an experienced and forward-thinking AI Lead Engineer to join our AI Ops delivery team. In this role, you will lead the design, development, and delivery of GenAI-powered agentic systems that automate complex business processes across domains such as HR, Payroll, SAP, and Client Delivery. You’ll serve as the technical lead within a Business/Core Pod, responsible for mentoring engineers, shaping solution architectures, and ensuring delivery excellence. This role combines deep hands-on engineering with architectural ownership and close collaboration with product managers and domain experts. Key Responsibilities • Own the technical design and architecture of GenAI agent workflows within the Business Pod, • Serve as a hands-on developer, actively contributing to the design, coding, and delivery of production-grade agents and tools, • Lead code and design reviews, ensuring alignment with architectural standards and platform best practices, • Collaborate with the AI Ops Core Pod to adopt and influence reusable assets, frameworks, and integration patterns, • Design and implement LLM-powered agent workflows using frameworks such as LangChain, LangGraph, or CrewAI, • Develop prompt chains, agent tools, and custom modules that support reasoning, summarization, and multi-step task execution, • Integrate agents with enterprise systems (e.g., Workday, SAP, Salesforce) via REST APIs, SDKs, or message queues, • Build and manage agent lifecycle components, including initialization, memory/state handling, and fallback logic, • Implement and consume vector store integrations, prompt templates, and retrieval-augmented generation (RAG) techniques, • Ensure workflows are robust, secure, and observable, with proper logging, monitoring, and exception handling, • Partner with Product Managers, SMEs, and QA to translate business processes into agentic workflows and iterate based on feedback, • Contribute to the automation of testing, deployment, and validation pipelines for AI agents, • Maintain thorough documentation of agent behavior, design decisions, and integration logic for operational readiness and knowledge transfer Preferred Qualifications • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field, • 4+ years of experience in developing and deploying production-grade AI/ML or automation solutions, • Strong proficiency in Python, with hands-on experience using FastAPI, REST APIs, and background task orchestration, • Deep familiarity with agentic frameworks such as LangChain, LangGraph, CrewAI, ReAct, or similar, • Understanding of LLM orchestration, including prompt design, tool usage, context management, and agent memory, • Experience integrating with enterprise systems via APIs, event/message queues (e.g., Kafka, Service Bus), and webhooks, • Solid foundation in distributed system design, including state management, retries, error handling, and resilience, • Experience with business process automation or workflow automation in real-world environments, • Comfortable working with SQL/NoSQL databases, including data modeling and validation, • Knowledge of containerization (Docker), orchestration platforms (Kubernetes), and deployment to cloud platforms (Azure, AWS, or GCP), • Understanding of security concepts including authentication (OAuth2), authorization, and secure API integration, • Exposure to multi-agent patterns (e.g., supervisor-worker, planner-executor, judge-critic) is a strong plus Nice to Have • Contributions to open-source agent frameworks or AI tooling., • Experience working with observability and monitoring tools to track agent performance., • Exposure to knowledge graphs, memory management systems, or retrieval-augmented generation (RAG) pipelines.

Job Title: Front End Engineer - AI Location: Remote / Onsite / Hybrid Job Type: Full-time / Contract About the Role We are seeking an experienced and forward-thinking Front End Engineer to join our AI Ops delivery team. In this role, you will lead the design, development, and delivery of GenAI-powered agentic systems that automate complex business processes across domains such as HR, Payroll, SAP, and Client Delivery. You’ll serve as the technical lead within a Business/Core Pod, responsible for mentoring engineers, shaping solution architectures, and ensuring delivery excellence. This role combines deep hands-on engineering with architectural ownership and close collaboration with product managers and domain experts. Key Responsibilities • Own the technical design and architecture of GenAI agent workflows within the Business Pod, • Serve as a hands-on developer, actively contributing to the design, coding, and delivery of production-grade agents and tools, • Lead code and design reviews, ensuring alignment with architectural standards and platform best practices, • Collaborate with the AI Ops Core Pod to adopt and influence reusable assets, frameworks, and integration patterns, • Design and implement LLM-powered agent workflows using frameworks such as LangChain, LangGraph, or CrewAI, • Develop prompt chains, agent tools, and custom modules that support reasoning, summarization, and multi-step task execution, • Integrate agents with enterprise systems (e.g., Workday, SAP, Salesforce) via REST APIs, SDKs, or message queues, • Build and manage agent lifecycle components, including initialization, memory/state handling, and fallback logic, • Implement and consume vector store integrations, prompt templates, and retrieval-augmented generation (RAG) techniques, • Ensure workflows are robust, secure, and observable, with proper logging, monitoring, and exception handling, • Partner with Product Managers, SMEs, and QA to translate business processes into agentic workflows and iterate based on feedback, • Contribute to the automation of testing, deployment, and validation pipelines for AI agents, • Maintain thorough documentation of agent behavior, design decisions, and integration logic for operational readiness and knowledge transfer Preferred Qualifications • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field, • 4+ years of experience in developing and deploying production-grade AI/ML or automation solutions, • Strong proficiency in Python, with hands-on experience using FastAPI, REST APIs, and background task orchestration, • Deep familiarity with agentic frameworks such as LangChain, LangGraph, CrewAI, ReAct, or similar, • Understanding of LLM orchestration, including prompt design, tool usage, context management, and agent memory, • Experience integrating with enterprise systems via APIs, event/message queues (e.g., Kafka, Service Bus), and webhooks, • Solid foundation in distributed system design, including state management, retries, error handling, and resilience, • Experience with business process automation or workflow automation in real-world environments, • Comfortable working with SQL/NoSQL databases, including data modeling and validation, • Knowledge of containerization (Docker), orchestration platforms (Kubernetes), and deployment to cloud platforms (Azure, AWS, or GCP), • Understanding of security concepts including authentication (OAuth2), authorization, and secure API integration, • Exposure to multi-agent patterns (e.g., supervisor-worker, planner-executor, judge-critic) is a strong plus Nice to Have • Contributions to open-source agent frameworks or AI tooling., • Experience working with observability and monitoring tools to track agent performance., • Exposure to knowledge graphs, memory management systems, or retrieval-augmented generation (RAG) pipelines.

The Mission Being honest: the "final mile" delivery in logistics is a mess of technical bottlenecks and fragmented networks. Most companies just accept it; Synkka is deleting the problem entirely. You’re joining a team building the AI-native infrastructure that allows global vendors to design and deploy delivery networks using AI & human language. One year in, the tech is already supporting some of the world’s largest brands. Now, the engine needs more fuel, and that’s where you come in. The Role: Architect of the Ecosystem This isn't a "check-in on existing accounts" kind of job. You are the high-energy relationship builder responsible for securing the supply-side partners that make our AI-driven promise a reality. You’ll spend your time as the face of the company at global events, turning "chats" into high-stakes commercial partnerships. If you have the executive presence to engage a CEO and the technical curiosity to grill a CTO, you’ll fit right in. Your Priorities: • Finding Strategic Partnerships: Identifying and securing the vendors that Merchants actually use. You know how to navigate a company to reach the decision-makers who matter., • High-Stakes Networking: Representing the brand at global conferences. You don't just attend events; you engage the room and leave with strong follow ups., • Ecosystem Validation: Collaborating with Product and Engineering teams in London and Poland to ensure the partner network is ready for scale., • Moving Fast: In this environment, momentum is everything. If you prefer a slow-burn corporate pace, this will be a shock to the system. Are You the One? You don't need a 20-page playbook; we'll build it with you as things scale. • The Connector: You have a track record in Partnerships, Enterprise Sales or Product within Logistics. You thrive in high-pressure social environments and actually enjoy the intensity of the travel circuit., • The Translator: You can explain Synkka to a non-technical COO just as easily as you can discuss API bottlenecks with an engineer., • The Outcome-Obsessive: You’re motivated by results (new partners signed), not by how many meetings are on your calendar., • AI-Native: You’re genuinely excited about a future with "limited humans in the loop" and want to build the infrastructure that makes it happen. Why Bet on Synkka? • Founding-Stage Impact: You aren't a cog in a machine. You’re helping to rewrite the tech stack for a £50B+ industry., • Elite Company: Work alongside a concentrated group of experts in AI and logistics across Europe., • Autonomy by Default: High-trust, hybrid, and flexible. You’re expected to deliver, but how and where you do it is up to you., • Zero Fluff: No 9-to-5 boredom here. This is about building the future of physical goods movement. The Culture Fit: The team is ambitious, and values candour. If you’re looking for a traditional account management / partner management role, this might not be a fit. But if you want ownership and your fingerprints all over the next generation of global logistics. Let’s talk. Note: Strictly no recruiters and no anonymised CVs.

Senior FPGA / DSP Firmware Engineer Hybrid / Remote (UK) | Contract (OUTISDE IR35) or Permanent We are looking for a highly capable FPGA Firmware Engineer to join a team developing advanced high-performance digital signal processing and RF systems. This role would suit an engineer who thrives on solving technically complex challenges across SDR, DSP and high-speed digital design. You will work on sophisticated FPGA-based platforms used in demanding real-world applications, contributing to architecture, implementation, verification and system integration. Key Responsibilities • FPGA firmware development using VHDL/Verilog for complex DSP and RF systems, • Design and implementation of SDR and digital RF processing chains, • Development of DSP algorithms including IQ modulation, filtering, mixing, correlation and FFT processing, • FPGA verification, simulation and hardware bring-up, • Work with modern Xilinx platforms including RFSoC, MPSoC and Ultrascale devices, • Collaborate across firmware, hardware and systems engineering teams, • Support automated test and validation environments using Python and related tooling, • Contribute to technical leadership, standards and architectural decisions Required Experience • Strong commercial FPGA development experience using VHDL and/or Verilog, • Experience with Xilinx FPGA technologies including Vivado toolchains, • Strong DSP knowledge including RF signal processing techniques, • Experience working on SDR, communications, radar, aerospace or high-performance embedded systems, • Understanding of high-speed digital interfaces and system integration, • Experience with verification and test methodologies, • Comfortable working in Agile engineering environments using Git/JIRA/Confluence Desirable Skills • RFSoC or MPSoC experience, • MATLAB-based DSP or filter design, • Ethernet, memory controller or comms protocol experience, • Exposure to embedded software or Python scripting, • Hardware design or board-level debugging experience, • Team leadership or mentoring background Ideal Candidate The successful engineer will be technically curious, highly adaptable and comfortable operating in fast-paced engineering environments where innovation and initiative are valued. You should enjoy solving difficult technical problems and be capable of contributing across both firmware and system-level challenges. This is an opportunity to work on genuinely advanced DSP and FPGA technology within a strong engineering team tackling cutting-edge projects. The opportunity is paying either a high salary or Contract rate for the right person. Majority remote is fine with occasional visits to London. Please reply with an up to date CV if it could be of interest.

PURPOSE As part of its 2026-2030 Exploration Strategy, Endeavour Mining is strengthening its enterprise management of exploration and geoscience data to accelerate discovery, improve decision quality, and enable advanced analytics and AI. As part of this journey, EDV is recruiting a Geoscience Data & Automation Engineer plays a critical role in industrializing exploration data flows across all sites. The position is accountable for designing and maintaining automated systems, data transformation, and quality control pipelines for drilling, logging, sampling, assay, survey, and geospatial datasets. The objective is to eliminate manual uploads, spreadsheet dependency, and fragmented QA/QC processes, while ensuring that exploration data is structured, historised, reliable, and analytics ready. The role contributes directly to AI-readiness by enabling clean, standardized, and scalable exploration datasets to be consumed by geological modelling, analytics, and machine learning initiatives. KEY ACCOUNTABILITIES Exploration Data Ingestion & Automation • Design, build, and maintain end-to-end automated data exchanges for exploration systems, including:, • Drilling and logging systems (e.g., LogChief, IMDEX), Assay laboratory datasets (CSV, XML, API based feeds), • BoxScan imaging datasetsAnalytics & AI Readiness, • Survey and geospatial datasets Central Geoscience Data Management Systems (GDMS) • Ensure secure, scalable, and reliable data flows from field systems to the enterprise data platform, • Reduce manual handling and eliminate duplicate or inconsistent data uploads. Data Transformation & Historisation • Implement transformation logic to standardise, harmonise, and historise exploration datasets., • Ensure data models support longitudinal analysis, geological interpretation, and AI-driven use cases., • Maintain clear separation between raw, curated, and analytics-ready datasets. Data Quality & QA/QC Automation • Design and implement automated QA/QC checks across exploration datasets, including:, • Drillhole validation rules, Assay consistency checks, Referential integrity controls, • Schema validation and completeness checks, • Monitor data quality metrics and collaborate with site geologists and QA/QC managers to resolve data issues., • Ensure datasets are certified before use in resource modelling or advanced analytics. Systems Integration & Architecture • Collaborate with Enterprise Architecture and Data Platform teams to:, • Integrate exploration systems with the central data platform, • Ensure metadata, lineage, and documentation standards are respected, • Design scalable and resilient data pipelines, implement monitoring, logging, and incident resolution mechanisms, Support hybrid architectures where required (site systems + cloud platform) Data Capture, Validation & Quality Assurance • Design and supervise data capture workflows from field to system: site geologists, samplers, contractors., • Implement automated QA/QC processes to ensure data accuracy, completeness, and consistency. Coordinate with: Regional Exploration QA/QC Managers, Site Data Stewards / Field Geologists, GIS Geologists, to ensure data is validated at each stage before use in interpretation or modelling. Collaboration & Stakeholder Enablement • Work closely with:, • Site geologists and data stewards, • Regional Exploration QA/QC Managers, • GIS geologists, • Data Scientists and Data Engineers SKILLS, KNOWLEDGE & EXPERIENCE Education: • Master’s degree in computer science, Data Engineering, Information Systems,, • or a related technical field. Exposure to geoscience or mining domain is highly desirable. Exploration Data & Domain Knowledge • Strong understanding of exploration data workflows, including drilling, logging, assays, and survey data., • Familiarity with drillhole data structures and QA/QC processes., • Exposure to exploration systems such as GDMS, LogChief, IMDEX, BoxScan, or similar platforms. Data Engineering & Automation • Proven experience designing and maintaining ETL/ELT pipelines., • Strong scripting capabilities (Python preferred)., • Experience handling heterogeneous data formats (CSV, XML, JSON, APIs)., • Experience implementing batch and incremental ingestion patterns, • Understanding of data transformation, standardisation, and historisation techniques. Data Quality & Governance • Experience implementing validation rules and automated data quality frameworks., • Understanding referential integrity and structured data models., • Familiarity with metadata management and data lineage principles., • Ability to balance governance controls with operational usability. Cloud & Platform Experience • Experience with enterprise data platforms (cloud preferred), • Understanding of orchestration tools and pipeline monitoring, • Familiarity with security, access control, and secure data transfer protocols (SFTP, APIs, token based authentication) Personal Competencies • Strong analytical and problem-solving mindset., • Structured, detail-oriented, and quality-driven., • Ability to work across IT and Exploration stakeholders., • Capable of managing multiple priorities in a transformation environment., • Proactive and solution-oriented, with a strong ownership mindset. TYPE OF CONTRAT: LONG TERM

IXICO plc (AIM: IXI), is a global leader in neuroscience imaging and biomarker analytics, using its proprietary AI-driven platform to help advance the treatment of neurological disorders and reduce the uncertainties associated with drug discovery, development and monitoring. As a key part of the global neurological disease research community, the Company has built a global reputation and 20-year track record as an end-to-end Imaging Contract Research Organisation (iCRO) working with leading pharma companies, innovative biotech's, disease consortia and non-profit organisations. IXICO has supported hundreds of neurological clinical trials, analysed hundreds of thousands scans and built an expansive network of expert imaging centres around the world. The IXICO Platform is tailor-made for neurological disease, reliably processing data from global trials, precisely measuring key imaging biomarkers associated with the identification, progression and treatment of diseases such as Alzheimer's, Huntington's and Parkinson's. Image data is interrogated by the Platform and IXICO's expert scientists translating complex data into clinically meaningful while minimizing data variability and increasing reproducibility. Our people are empowered to enable us to achieve our company goals and their own personal development through the “4A” values at the heart of our culture: Aspiration, Ability, Agility and Accountability. To help us deliver our medical image analysis solutions to large clinical trials we are hiring a dedicated Imaging Applications Engineer on a permanent full-time capacity. Purpose of the Role: This role is focused on supporting our pharma clients’ clinical trial projects by implementing and deploying production-grade medical imaging data processing and analysis solutions within our proprietary IXICO data management platform. The job holder is experienced in the medical image domain and is responsible for executing the configuration of IXICO platform(s) in accordance with project requirement specifications, and for the design, development, validation and deployment of bespoke image analysis workflow features that are required for an allocated portfolio of projects. The job holder works hand-in-hand with Analysis Product, Image Analyst, Biomarker Science and Technology teams to ensure that requirement specifications are fully and clearly documented, implemented, and tested at project start-up, meeting project start-up timelines agreed with IXICO’s Project Managers. The role further supports Project Managers with defining and implementing features to fulfil workflow change requests arising during a clinical trial project. As part of the Technology team, the role holder is responsible for supporting internal users with data processing and analysis issue resolution and contributes to continuous process improvement. Essential Duties and Responsibilities: The duties and responsibilities listed below are representative, but not exhaustive of the role. There may be some variation and/or development of these duties and responsibilities without changing the general nature of the role: • Responsible for the configuration and deployments of clinical trials on the IXICO platform, including change controls and corrections to existing studies., • Receive handover of processing and analysis pipelines from Science and Technology and manage these to completion in operational deployments., • Design and develop, validate and deploy allocated image processing and analysis features and workflows to the IXICO platform., • Support Project Managers in defining solutions for projects within an allocated portfolio, creating clear and complete requirements specifications., • Provide second line support for processing and analysis pipelines, maintaining ticketing for IXICO platform support., • Work closely with Research, Technology and Development teams on best practices and process improvements., • Participate in Agile Scrum team and promote continuous improvement., • Create and maintain necessary documentation, compliant with IXICO procedures and quality framework. Qualifications and skills required for the role: Essential • Masters/Postgraduate degree from an accredited educational institution in a technical discipline e.g., Computer Science/Compute Vision/Medical Imaging., • Experience in at least one medical imaging modality (e.g. MRI, PET) and relevant image analysis., • Strong academic background., • Proven experience in programming using scripting languages (Bash/Python)., • Proven experience of Linux/Unix command line., • Understanding and working knowledge of Database concepts and technologies (RDBMS/SQL/PostgreSQL)., • Understanding of Object-Orientated development., • Excellent written and spoken communication skills across all levels of the business – fluent in the English language., • Strong organisational skills and great attention for detail., • Ability to prioritise effectively., • Strong team-player, who is acting in a professional and personable manner., • Highly motivated and driven to improve and develop processes. Desirable • Commercial or Academic experience in the neuroscience domain., • Knowledge of GCP, ISO13485, ISO27001 and/or other similar quality systems., • Understanding of Design Patterns., • Understanding of Agile concepts., • Knowledge of Git and DevOps., • Knowledge of Docker and Kubernetes. Benefits • Competitive remuneration package including benchmarked salaries., • Staff Annual Bonus Plans and Annual Salary Review., • Generous employer pension contribution of 6%., • 25 days annual leave, increasing up to 28 days with every year at IXICO., • BUPA private medical insurance scheme., • Life Assurance of 4x annual salary., • Employee Benefits Portal, offering various discounts in retail, food & drink, and entertainment., • Engaging and social environment, with fundraising and sporting activities and seasonal events such as Summer and Christmas parties., • Wellbeing initiatives such as eye tests, flu jabs, and Mental Health Awareness Training., • Employee Assistance Programme offering advice and support on a wide range of topics., • Hybrid working model pattern split between working in the City of London and remotely., • Reimbursement allowance to purchase equipment to support working from home., • Generous employee referral scheme offering £2,000 for referring a successful candidate to the company., • Financial assistance for professional qualifications., • Opportunity to contribute to an industry where your work has an impact every single day. How to Apply IXICO is working hard to create a representative, inclusive and empowered team, because we believe different experiences, perspectives and backgrounds make a better workplace, and ultimately better services. IXICO doesn’t discriminate on the basis of race, colour, religion or belief, gender, national origin, age, sexual orientation, marital status, disability or any other protected class. This is a great opportunity for a dedicated Imaging Applications Engineer to thrive in an engaging and fast-paced environment, to make a difference on an everyday basis. If you think IXICO should meet you, please send us your CV and covering letter by email to careers@ixico.com or apply directly via LinkedIn. We are looking forward to your application. Please note that our entire business is operating under a Hybrid-Working Model, where UK-based employees are required to attend our London office 2 days a week. If you have got any questions, please reach out to our careers team. Please note that IXICO will process the data provided by you only in order to perform the outlined recruitment exercise. For more details on what data we process and on what legal basis this happens please view our _ or contact careers@ixico.com.

This is a hybrid role requiring you 4 days on-site in Camden Kick-start your career in the online gaming world and experience the very latest in technology and innovation. Do you see yourself as one of those “out-of-the-box thinkers”, “Technical masterminds”, “Outstanding creatives”, or “Mind-boggling number crunchers”? If so, we want to welcome you to the Betway family and celebrate what makes you unique! Our global customer base is exploding and we need your skills to support us on this exciting journey! Don’t look back and submit your application before the opportunity passes you by.. Who we are We’re Super Group, the NYSE-listed digital gaming company behind some of the world’s leading Sports and iGaming brands, including Betway and Jackpot City. We’re a powerhouse built on decades of expertise across 22 countries – and with over 2,800 bright minds, we’re changing the game for good. Our mission is to give our customers a superclass entertainment experience. Who we’re looking for We’re on a thrilling journey of growth and innovation, and we need passionate, driven individuals to join us. At Super Group, every day is action-packed, and we expect you to bring your A-game. In return, you’ll find a supportive environment where your skills can flourish and your career can soar. Ready to become a game-changer? Supercharge your career with us and be part of something extraordinary. Why we need you We’re building experiences that wow our customers – and that starts with bold, curious people who want to do work that matters. If you’re hungry to grow, excited by impact and ready for a challenge that will supercharge your career, this could be your moment. As our DevSec Engineer you’ll play a key part in delivering secure applications and hands-on security support to our developers to ensure they are fixing the right things. Your drive and ideas will help us move faster, improve smarter, and stay ahead of the game. Acting as a technical authority across development, platform, operations, and information security, the DevSec Engineer is a multi‑disciplinary engineering role with a focus on application and platform security controls, working closely with development teams to improve security outcomes. What you’ll do You’ll take ownership of work that gives us our competitive edge, including: • Development and Application Security‑by‑Design, • Integrate and operate application security controls within CI/CD pipelines, including:, • Static Application Security Testing (SAST), • Dynamic Application Security Testing (DAST), • Software Composition Analysis (SCA), • Secrets detection and dependency risk scanning, • Support secure SDLC practices such as:, • Branch protection and quality gates, • Secure build and release controls, • Artifact integrity and validation checks, • Assist with threat modelling and secure design reviews in collaboration with architecture teams., • Support developers in vulnerability triage and remediation., • Tune security tools to reduce false positives and developer friction., • Support audit, compliance, and evidence generation activities., • Participate in security incident investigation related to application flaws., • Ensure secure, compliant approaches are the default and easiest options for development teams to adopt., • Configure and maintain security tooling integrations within CI/CD systems (e.g. GitHub Actions, GitLab CI, Jenkins, Azure DevOps) under agreed architectural standards, • Ensure security controls operate consistently across teams and repositories., • Governance, Risk & Assurance, • Define and document DevSec security standards, patterns, and decisions., • Provide evidence and control mappings to support audits, risk assessments, and regulatory reviews., • Identify and track DevSec‑related risks and technical debt, driving remediation through process improvements rather than manual controls., • Stakeholder Collaboration, • Influence security outcomes through collaboration and technical leadership rather than enforcement., • Contribute to security enablement, awareness, and uplift initiatives focused on cloud‑native and container security practices. This list covers your core responsibilities – with plenty of room to stretch, explore and take on new challenges as we grow. What you’ll bring You’re someone who brings: • Clear, confident communication (written and verbal), and the ability to breakdown complex ideas, • A collaborative mindset, working smoothly with cross‑functional teams to hit shared goals, • Strong organisational skills and the ability to manage multiple projects without dropping the ball, • Exceptional attention to detail and a commitment to high‑quality work, • Adaptability – you stay sharp, productive and positive in fast‑moving environments, • Strong grounding in application security concepts., • Secure coding knowledge (OWASP Top 10, API security, dependency risk)., • Strong knowledge of SAST, DAST, SCA, and software supply‑chain security concepts., • Strong advocate for enablement‑first security. Ability to influence engineering teams through collaboration and technical credibility., • Hands‑on expertise with containers and orchestration platforms (e.g. Docker, Kubernetes)., • Demonstrated experience implementing container security across build, registry, and runtime., • Proven experience securing CI/CD pipelines and developer toolchains., • Knowledge of:, • Infrastructure as Code (Terraform, Bicep, CloudFormation, etc.), • Secrets and key management, • Cloud identity and access management, • Solid understanding of information security frameworks (e.g. ISO 27001)., • Experience operating in regulated or audited environments., • Able to design controls that are auditable without slowing delivery. Desirable skills you’ve got up your sleeve It would be great if you also have some of the following skills: • In-depth knowledge of sports betting markets, including odds calculation, betting types and market trends, • Previous experience in the online gaming or casino industry, with a strong understanding of player behaviour and industry regulations, • Familiarity with gambling regulations and compliance requirements in various jurisdictions, ensuring adherence to legal standards, • Experience in developing and executing customer retention strategies, • Experience operating at scale in multi‑team or multinational environments., • Prior involvement in audits, regulatory reviews, or formal assurance activities. Our values are non-negotiables Our culture is underpinned by core values that are linked to key behavioural competencies. Along with the below behavioural competencies, these are essential for all employees in order for you to embed in and drive our culture forward. These competencies are: • Adaptability, • Ownership and accountability, • Initiating action, • Resilience, • Team orientation, • Integrity, • Innovation What you’ll get back We invest in your growth and wellbeing, so you can bring your best: • Supergrowth is real here. Our learning and development programmes give you the tools, training and opportunities to level up fast., • Your progress matters. Our Performance tool ensures you get meaningful feedback to support your development and superdrive your career., • Support that has your back. Our Employee Assistance Programme offers resources for you and your family. Ready to feel superclass? At Super Group, your experience matters. We’re honest, fair, and focused on helping you succeed – and your work will have real impact from day one. Game on! Should you not hear from us within 2 weeks, please assume your application has not been successful.

About Us: Solirius Reply, part of the Reply Group, delivers technical consultancy and application delivery to our clients in order to solve real world problems and allow our clients to respond to an ever-changing technical landscape. We partner closely with our clients, embedding our consultants into their businesses in order to provide a bespoke service, allowing us to truly understand our clients’ needs. It is this close collaboration with our clients that has enabled us to grow rapidly in recent years and will drive our ambitious future growth plans. We currently have over 300 consultants working with a variety of key clients from both the public and private sectors such as the Ministry of Justice, Department for Education, FCDOS, UEFA, International Olympic Committee and Mercedes Benz; with plans to increase our client base further in the near future. We operate as a flat organisation and believe in trusting and supporting our team to operate independently. We pride ourselves on being specialists at what we do, making the most of our consultants’ expertise in their fields in order to provide a best-in-class service to our clients. All our consultants have the opportunity to work on a range of different projects, providing a broad range of knowledge on which to develop their careers and progress in the direction they choose. About You: You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you’re comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. You understand and align with Solirius Reply Values. The Role: We are seeking an experienced SC Cleared Data Engineer to design, build, and maintain secure, scalable data platforms and pipelines within a high-security environment. The successful candidate will work closely with data architects, analysts, software engineers, and stakeholders to deliver robust data solutions that support operational and strategic objectives. This role requires active Security Check (SC) clearance Key Responsibilities • Design, develop, and maintain ETL/ELT pipelines for structured and unstructured data sources., • Build scalable data ingestion and transformation frameworks using cloud-native and on-premise technologies., • Develop and optimise data models, warehouses, and lakehouse architectures., • Implement data quality, validation, governance, and security controls., • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions., • Monitor, troubleshoot, and optimise data workflows and platform performance., • Support CI/CD practices and infrastructure automation for data platforms., • Produce technical documentation, architecture diagrams, and operational runbooks., • Ensure compliance with security policies, governance standards, and best practices within secure environments., • Participate in agile ceremonies including sprint planning, stand-ups, and retrospectives. Required Skills & Experience • Active SC Clearance or eligibility to obtain SC clearance., • Strong experience as a Data Engineer in enterprise or government environments., • Proficiency in SQL and Python for data engineering tasks., • Experience with cloud platforms such as: AWS, Azure, Google Cloud Platform (GCP), • Hands-on experience with data technologies such as: Apache Spark, Databricks, Kafka, Airflow, Snowflake, Hadoop ecosystems, • Experience designing and maintaining data warehouses and data lakes., • Knowledge of DevOps and CI/CD tooling (e.g. Git, Jenkins, Azure DevOps, Terraform)., • Strong understanding of data governance, security, and compliance., • Experience working within Agile delivery teams. Desirable Skills • Experience in public sector, defence, or regulated industries., • Knowledge of data mesh or modern data architecture principles., • Experience with containerisation technologies such as Docker and Kubernetes., • Familiarity with machine learning pipelines and MLOps., • Certifications in cloud platforms or data engineering technologies. What We Offer: • Competitive Salary, • Bonus Scheme, • Private Healthcare Insurance, • 25 Days Annual Leave + Bank Holidays, • Up to 10 days allocated for development training per year, • Enhanced Parental Leave, • Paid Fertility Leave (5 Days), • Statutory & Contributory Pension, • EAP with Help@Hand, • Gym Membership Benefits, • Flexible Working, • Annual Away Days/Company Socials Equality & Diversity: Solirius Reply is an equal opportunities employer. We are committed to creating a work environment that supports, celebrates, encourages, and respects all individuals and in which all processes are based on merit, competence and business needs. We do not discriminate on the basis of race, religion, gender, sexuality, age, disability, ethnicity, marital status or any other protected characteristics. Should you require further assistance or require any reasonable adjustments be put in place to better support your application process, please do not hesitate to raise this with us.

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 louiescottodiperta@hoarelea.com . 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, _ 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

Mid-Level AI/ML Engineer – Automation & Delivery - £450 per day (Inside IR35) 6 month contract Fully Remote UK Based SC Clearance required We’re looking for a Mid-Level AI/ML Engineer to design and deliver automation solutions that drive efficiency across the business. This role sits at the intersection of AI, engineering, and operational delivery—working closely with technical teams to identify manual bottlenecks and translate them into scalable, AI-driven solutions. What you’ll be doing • Attend technical and IT meetings to identify inefficiencies and automation opportunities, • Translate business pain points into clear AI/ML use cases and delivery plans, • Design and build LLM- and ML-based solutions to improve internal processes, • Deploy automation tools and AI agents that enhance quality, speed, and consistency, • Collaborate with architects and stakeholders, owning delivery of well-scoped initiatives What you’ll bring AI / ML (2–4 years experience) • Hands-on experience delivering ML solutions in production or advanced prototypes, • Strong understanding of:, • Supervised learning, evaluation metrics, overfitting/regularisation, • NLP fundamentals (embeddings, classification, summarisation) Experience with: • PyTorch or TensorFlow, • LLM APIs or open-source models, • Strong Python Skills and APIs (FastAPI, Flask, Django), • Working knowledge of SQL and relational databases, • Experience with data ingestion, transformation and validation, • Understanding of handling sensitive data and PII To find out more please apply via the advert.

Senior QA Engineer - Mobile Applications Location: London, UK Working Mode: 3 days a week on site, London Description We're looking for a Senior Quality Engineer - Mobile Applications to join our team in London, UK, in a hybrid working model. In this role, you will ensure the quality of mobile products that serve millions of global users. You will work in a fast-paced environment as part of a collaborative engineering team focused on delivering high-quality, intuitive mobile applications. This position combines strong technical testing skills with a creative mindset and an interest in emerging technologies, including AI-driven testing practices. Responsibilities • Design, develop, and maintain automation test strategies and scripts for iOS and Android applications using Espresso (Android) and XCUITest (iOS), • Collaborate with product, design, and development teams to define testing requirements and strategies, • Execute functional, integration, regression, and end-to-end testing for mobile applications, • Integrate automated testing frameworks into CI pipelines for continuous validation during development cycles, • Participate in PR reviews, submit recommendations, and contribute to reaching full regression automation coverage, • Analyze technical feasibility for automation and adopt best practices for maintainable test automation frameworks, • Conduct performance, compatibility, accessibility, and exploratory testing as needed, • Identify and document defects, ensuring timely discussion and resolution with development teams, • Drive early testing integration strategies by adopting mocking and simulation techniques, • Mentor team members on AI-assisted testing workflows, leveraging tools for prompt generation and coding support, • Continuously improve test processes, frameworks, and delivery approaches for mobile quality engineering excellence Requirements • 7+ years of experience in software testing with significant focus on mobile platforms (iOS/Android), • Strong hands-on automation experience (3+ years) with tools such as Appium, Espresso, MonkeyTalk, Selendroid, Katalon, • Expertise across multiple testing types: Functional, Regression, Integration, End-to-End, Accessibility, • Knowledge of Continuous Integration tools and integration of tests into CI/CD pipelines, • Familiarity with AI tools within testing workflows, prompt design knowledge, and VS Code scripting, • Strong knowledge of iOS and Android SDK testing practices and automation frameworks Nice to Have • Experience building generic prompts to optimize AI workflows in test automation, • Familiarity with data validation testing for APIs and backend services, • Previous exposure to AI productivity tools and code generation for testing frameworks About Korn Ferry Korn Ferry unleashes potential in people, teams, and organizations. We work with our clients to design optimal organization structures, roles, and responsibilities. We help them hire the right people and advise them on how to reward and motivate their workforce while developing professionals as they navigate and advance their careers. To learn more, please visit Korn Ferry at www.Kornferry.com

We’re looking for a Senior Data/Software 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

Lead Engineer/ Market Data Team Lead (Hands on) – C++ / Python We’re supporting a Capital Markets FinTech hiring a Market Data Team Lead/ C++ Developer to build and optimise market data systems. You’ll work across high-performance data pipelines, cloud environments, and large-scale tick data storage, with a strong emphasis on C++ engineering. Key Responsibilities • Build and optimise high-performance tick data pipelines using C++, • Remain hands on before stepping into managerial/ leadership position of small team of engineers, • Work with timeseries databases for fast storage and retrieval of market data., • Use Parquet-based storage formats for efficient large-scale data handling., • Collaborate with engineering teams to define and deliver market-data requirements., • Implement strong data-validation, monitoring, and reliability mechanisms., • Continuously reduce latency and improve throughput for workflows. Requirements • 5+ years in software engineering, ideally within market data or trading systems., • Strong skills in C++ (and Python is a plus)., • Experience with timeseries data pipelines., • Familiarity with AWS cloud and containerised environments (e.g., Kubernetes)., • Knowledge of exchange protocols, • Background in capital markets or trading systems beneficial. £100-£120,000 base + bonus 2 days in London office per week

Data Engineer | Python | SQL | Data Pipelines | Data Infrastructure | Snowflake | AWS | London, Hybrid Position Overview We are seeking an experienced Data Engineer to help build and maintain the data infrastructure powering a large-scale AI-driven clinical monitoring platform. You will design and operate robust data pipelines that ingest, transform, and distribute sensitive healthcare data originating from Electronic Health Record (EHR) systems, medical devices, and hospital information systems. Working closely with backend engineers, ML engineers, clinical teams, and customer integration partners, you will ensure the reliable, secure, and compliant flow of patient data across operational and analytical systems. Your work will directly support predictive analytics and machine learning models that identify early signs of clinical deterioration, helping clinicians intervene sooner and improve patient outcomes. This is a hands-on role where production-grade data engineering, reliability, and healthcare compliance are critical. Key Responsibilities Data Pipeline & Integration Development • Design, build, and maintain scalable data pipelines to ingest healthcare data from customer EHR systems and hospital databases., • Develop integrations using:, • REST APIs and webhook-driven workflows, • Database log shipping and change data capture (CDC) mechanisms, including Microsoft SQL Server–based systems, • Transform, validate, and normalise incoming clinical data before loading it into operational and analytical data platforms., • Ensure pipelines are robust, fault-tolerant, and capable of handling large-scale data volumes. Healthcare Data & EHR Integrations • Integrate and manage healthcare data domains including:, • Admissions, Discharges, and Transfers (ADT), • Conditions, medications, and allergies, • Clinical notes and progress notes, • Vital signs and physiological measurements, • Work with healthcare interoperability standards and protocols such as:, • HL7 v2, • FHIR, • Partner with customer technical teams to support onboarding, troubleshooting, and ongoing data reliability. Data Platforms & Warehousing • Take ownership of operational databases and analytical data warehouses., • Design schemas and transformations that support both real-time application requirements and downstream analytics and ML workloads., • Optimise performance, cost, and scalability across cloud-based data platforms. Cloud Deployment & Operations • Deploy and operate data pipelines and services in AWS., • Implement monitoring, logging, alerting, and operational dashboards for data workflows., • Support production reliability, incident response, and continuous improvement initiatives. Security, Compliance & Data Quality • Ensure all data pipelines meet healthcare security and privacy requirements., • Apply best practices for handling sensitive healthcare data, including access control, encryption, and audit logging., • Maintain clear documentation of data flows, transformations, and operational processes. Collaboration & Enablement • Work closely with Data Science and ML teams to support:, • Model training and evaluation, • Feature generation and data labelling workflows, • Collaborate with backend engineering teams to develop tooling for data ingestion, validation, and monitoring., • Participate in architecture discussions to ensure scalability and reliability as the platform grows. Required Qualifications • 5+ years of experience in Data Engineering, Backend Engineering, or a related role., • Strong proficiency in Python for data pipeline and backend development., • Strong proficiency in SQL., • Hands-on experience with relational databases and cloud data warehouses, including schema design and performance optimisation., • Experience integrating data from Microsoft SQL Server, including log shipping or CDC-style approaches., • Experience building high-throughput data pipelines from ingestion through transformation and storage., • Experience deploying and operating production systems within a major cloud provider environment (AWS preferred)., • Familiarity with APIs, webhooks, and event-driven architectures., • Experience working with sensitive or regulated data. Preferred Qualifications • Experience integrating with EHR systems., • Familiarity with healthcare interoperability standards such as HL7 and FHIR., • Experience supporting machine learning or data science teams., • Experience with data orchestration, workflow management, or streaming systems., • Background in healthcare, medical devices, or clinical data systems., • Exposure to healthcare compliance and security best practices. What You Bring • Strong ownership mindset across the full data lifecycle, from ingestion through analytics., • A focus on data quality, reliability, and operational excellence., • Comfort operating within complex customer integration environments., • Strong communication skills across engineering, data, and clinical stakeholders., • Motivation to work on technology that directly improves patient care. Why Join Us You will have the opportunity to: • Work on real-world healthcare challenges with measurable patient impact., • Build data systems that support clinical-grade AI and ML applications., • Take ownership within a fast-growing, mission-driven environment., • Collaborate with a highly skilled, multidisciplinary team. Data Engineer | Python | SQL | Data Pipelines | Data Infrastructure | Snowflake | AWS | London, Hybrid

MEP Project Engineer - UAE Are you a hands-on professional with a passion for precision and performance? Join us in delivering high-quality MEP systems for landmark projects in the UAE. We are building a talent pipeline and are interested in connecting with potential candidates for future opportunities. This posting is to gather expressions of interest for upcoming roles. Who We Are ALEMCO, a trusted leader in integrated MEP and facilities services, is part of the ALEC Group. We are known for our innovative solutions, commitment to excellence, and ability to deliver complex projects on time and within budget. With expertise spanning design, procurement, and execution, we are building a legacy of iconic projects that define the region. Discover how your skills can make an impact. Why Join Us? As a Project Engineer at ALEMCO, you’ll take ownership of engineering deliverables, ensuring that every aspect of your scope is compliant, cost-effective, and aligned with project timelines. This role offers a unique opportunity to work on groundbreaking projects while advancing your technical expertise. About Your Team You’ll report to the Technical Manager and oversee Technical Engineers in delivering high-quality MEP solutions. Your team operates in a collaborative environment, integrating design, procurement, and site operations for seamless project execution. Your Role • Ensure compliance with project specs, codes, and regulations., • Oversee material submittals, procurement, and long-lead item management., • Coordinate designs with drafting teams and offshore resources., • Lead on-site supervision, ensuring quality, safety, and progress., • Collaborate with subcontractors and support testing/commissioning phases. What We’re Looking For • Experience: 10+ years in MEP engineering/project execution, • Knowledge: Local & international codes, BIM 360, Revit, • Skills: QA/QC, design validation, procurement, MS Office, • Qualifications: BSc in Mechanical, Electrical, or Electronic Engineering What We Offer • The opportunity to contribute to iconic infrastructure projects in the UAE., • A supportive environment that values innovation, teamwork, and technical excellence., • Opportunities for professional development and career progression., • Tax-free earnings & relocation package Ready to Engineer the Future? If you’re inspired by what you’ve read and believe you’re the right fit, we’d love to hear from you. Join ALEMCO and play a key role in delivering high-performance MEP solutions for transformative projects. Apply today and be part of something extraordinary.

About HCL: One of the fastest-growing large tech companies in the world and home to 220,000+ people across 60 countries, supercharging progress through industry-leading capabilities centered around Digital, Engineering and Cloud. The driving force behind that work, our people, are diverse, creative, and passionate, raising the bar for excellence on a regular basis. We, in turn, work hard to bring out the best in them as we strive to help them find their spark and become the best version of themselves that they can be. If all this sounds like an environment you’ll thrive in, then you’re in the right place. Join us on our journey in advancing the technological world through innovation and creativity. Role Summary: We are seeking a hands-on Senior Network Engineer with deep expertise in Routing & Switching , ACI and VxLAN/EVPN (must-have). The ideal candidate will lead design, deployment, and operations of modern data center and campus networks, and bring strong capability in either NetDevOps/Automation (Python, Ansible, CI/CD) or VMware NSX for overlay/SDN. Key Responsibilities: · Architecture & Design: o Design and implement L2/L3 networks across DC and campus environments. o Lead ACI/VxLAN/EVPN fabric designs (Multi-pod/Multisite, route types, control-plane considerations). o Create high-availability designs (ECMP, MLAG/vPC, BGP/OSPF/IS-IS). · Deployment & Operations: o Configure and maintain leaf-spine architectures, border gateways, and interconnects. o Troubleshoot complex issues across underlay/overlay, control plane, and data plane. o Perform capacity planning, performance tuning, and proactive monitoring. · Security & Segmentation: o Implement micro/macro segmentation (EVPN, NSX policies), firewall integration, and route filtering. o Ensure compliance with internal and industry standards. · Automation / NSX (one or both): o NetDevOps/Automation: Build network automation for config/validation (Python, Ansible, Nornir, Git). o VMware NSX: Design and manage NSX-T overlays, T0/T1, segments, distributed firewall, and integrations. · Documentation & Governance: o Produce HLD/LLD, SOPs, runbooks, and maintain accurate network diagrams and CMDB entries. o Own change requests, risk assessments, and rollback plans. · Collaboration: o Partner with cloud, security, and platform teams on hybrid networking (AWS/Azure/GCP, SD-WAN). o Mentor junior engineers; contribute to standards and best practices. Must-Have Skills · Routing & Switching: BGP, OSPF/IS-IS, eBGP/iBGP, route redistribution, policy-based routing, QoS. · Data Center Fabrics: VxLAN/EVPN (mandatory) with practical experience in DC leaf-spine design. · Vendor Proficiency: One or more—Cisco (Nexus/IOS-XE), Arista EOS, Juniper QFX/EX. · Troubleshooting: Packet analysis, control-plane convergence, FIB/ARP/ND, MTU/MSS, ECMP. Preferred: NetDevOps / Automation · Python (requests, netmiko/paramiko, NAPALM, pyATS), · Ansible (Jinja2, inventories, roles), · Version control (Git), CI/CD (GitHub Actions/GitLab CI), · Network source of truth (Nautilus/NetBox), · Telemetry/observability (SNMP, gNMI, streaming telemetry, Prometheus, Grafana). VMware NSX (SDN) · NSX-T design and operations: T0/T1 gateways, segments, overlay transport zones, · Distributed firewall, security groups, micro-segmentation, · Integration with physical gateways, north-south routing, · Edge clusters, load balancer, policy automation. Nice-to-Have: · EVPN route types (RT-2/RT-5), IRB, symmetric/asymmetric routing, · Multisite/Multipod EVPN, DCI, MPLS L3VPN, · SD-WAN (Viptela, Prisma, Fortinet), · Cloud networking (AWS TGW, Azure vWAN, GCP VPC), · Firewalls (Palo Alto, Fortinet, Cisco ASA/FTD), NAC (ISE/Aruba ClearPass). Qualifications: · Bachelor’s in CS/EE/IT or equivalent experience. · Certifications (preferred): CCNP/CCIE, JNCIP/JNCIE, Arista ACE, VMware VCP-NV. · Experience: 8+ years in network engineering; 4+ years hands-on VxLAN/EVPN.

Data Engineer | London Hybrid | £70,000–£100,000 + 30–40% Bonus I’m currently working with a well-established and growing business in the insurance market that is looking to hire a Data Engineer into its London team. This is a strong opportunity for a Data Engineer with 3+ years of experience who enjoys working at the core of a business’s data estate — particularly where there is a need to modernise legacy SQL Server / on-prem data environments into a more scalable Azure-based platform. The role will suit someone who is confident across Azure data engineering, pipeline development, data modelling and stakeholder engagement, and who wants to play a hands-on role in shaping a more modern data infrastructure. There is also the opportunity to support broader AI and LLM-related initiatives over time. The role You will play a key role in helping to evolve and modernise the business’s data environment, with a particular focus on moving away from more traditional / legacy data processes into a more robust, scalable and cloud-based architecture. This role will involve: • Designing, building and optimising scalable ETL / ELT pipelines, • Helping modernise and migrate traditional SQL Server / on-prem data processes into Azure, • Working across Azure Data Factory, Synapse / Fabric, Azure SQL / data lake environments, • Building and improving data models to support reporting, analytics and business decision-making, • Improving data quality, validation, monitoring and overall reliability of core datasets, • Supporting integration work across internal systems, third-party platforms and APIs, • Working closely with business stakeholders to translate operational requirements into scalable technical solutions, • Contributing to reporting and dashboard capability through tools such as Power BI, • Supporting current and future AI / LLM-related projects where relevant What they’re looking for • 3+ years’ experience in Data Engineering or a closely related role, • Strong hands-on experience with SQL and Python, • Experience building and maintaining production-grade data pipelines, • Strong exposure to Azure data services, ideally including tools such as Azure Data Factory, Synapse, Fabric, Azure SQL or Azure Data Lake, • Experience working on or supporting the modernisation of legacy / on-prem / SQL Server-based data environments, • Good understanding of ETL / ELT, data modelling, data warehousing and reporting workflows, • Experience with Power BI, modern data tooling and version control / CI/CD, • Someone comfortable working with non-technical stakeholders and gathering requirements from the business, • Insurance, London Market or insurance broking data experience would be beneficial, but is not essential, • Interest in emerging AI / LLM / AI-assisted tooling is a bonus Package • £70,000–£100,000 base salary, • 30–40% bonus, • Hybrid working, • 33 days holiday, plus the option to buy 5 additional days, • Excellent pension, double matched by the company up to 10% This is a genuinely strong opportunity for a Data Engineer who wants: • real ownership across data platform modernisation, • the chance to work on Azure-based transformation work, • exposure to a complex, business-critical data environment, • a strong overall package and benefits offering, • involvement in both current data engineering priorities and future AI initiatives, • If this looks of interest, please apply with your most up-to-date CV. If this looks of interest, please apply with your most up to date CV

Analytics & Data Engineer Location: Hybrid - London Package: Negotiable + Benefits The day to day: As a Analytics & Data Engineer within the Data Team, you will sit at the intersection of data engineering and analytics—designing robust, scalable data foundations while generating insights that support operational and strategic decision‑making. The role provides end‑to‑end ownership of data workflows, including ingestion, transformation, modelling, analysis, and testing. Core Purpose To build and maintain scalable data pipelines and platforms, and to analyse and interpret data to generate insights, reports, and recommendations that deliver business value. The day to day: Data Engineering: • Design, build, and maintain ETL/ELT pipelines for ingesting, transforming, and storing data from multiple sources., • Ensure data quality, integrity, and reliability through automated testing and validation., • Manage and optimise databases, data warehouses, and cloud data environments (e.g. Azure/AWS)., • Collaborate with Data Operations to ensure platform stability and operational excellence. Analytics & Insight • Collect, clean, and analyse structured and unstructured data to identify trends and actionable insights., • Develop dashboards and reports using BI tools such as Power BI or Tableau., • Communicate findings clearly to both technical and non‑technical audiences., • Prepare datasets for AI/ML use cases, including feature engineering, dataset shaping, and data labelling. Collaboration & Delivery: • Work closely with Data Operations and Data Services Leads to balance priorities and resource allocation., • Partner with Technical Leads to ensure solutions align with established technical guardrails and best practices., • Engage with business stakeholders to understand requirements and translate them into deliverable solutions., • Collaborate with Data Scientists and AI Engineers on model deployment, vector database integration, and monitoring. Continuous Improvement: • Champion a culture of learning, innovation, and process optimisation., • Proactively introduce new tools, automation opportunities, and analytical approaches., • Explore emerging frameworks and implement practical improvements. Governance & Compliance: • Ensure all data activities comply with governance, privacy, and security standards., • Contribute to data management initiatives, documentation, and best practices. About you: • Degree in a STEM subject or equivalent experience., • Strong programming skills (Python, SQL, R, or similar)., • Experience with cloud data platforms (Azure, AWS, GCP) and big data technologies (Spark, Hadoop)., • Knowledge or experience with Denodo is an advantage., • Proficiency in BI and data visualisation tools (Power BI, Tableau)., • Solid understanding of data modelling, ETL/ELT processes, and database management., • Analytical mindset with strong problem‑solving and communication skills., • Ability to work collaboratively across multidisciplinary teams and engage with stakeholders at all levels., • Commitment to continuous learning and professional development., • Awareness of modern AI/LLM concepts and the ability to support AI‑ready data engineering of value but not essential., • Experience shaping data for advanced analytics or ML, including feature extraction and dataset quality checks. The rewards: • A negotiable basic salary and all the normal benefits you’d expect (Holiday, company pension etc.), • A collaborative, open and honest environment that is designed to deliver the best outcomes to our clients and staff, • A flexible working methodology to enable you to be where you need to be, if you don’t need to be in an office then don’t, if you want to be in an office your welcome to use one., • An environment built around supporting and developing our staff with funding available for relevant professional qualifications.

Fullstack Engineer - AI Hybrid - London £70,000 - £80,000 Immersum are working with a medical-grade AI HealthTech company transforming clinical workflows across the UK. Their platform helps clinicians eliminate documentation burden through clinically safe and reliable AI systems already used in over 1 million consultations. They’re hiring AI focused Full Stack Product Engineers to help build production grade AI systems used in high-stakes healthcare environments. What you’ll do: • Build and ship full-stack product features integrating deeply with LLMs in production, • Design systems resilient to hallucinations, output instability, and distribution shift, • Work closely with AI research teams to implement new architectures and model enhancements, • Contribute to AI output validation approaches, including multilingual clinical documentation quality, • Help maintain engineering quality, reliability, and safety standards in a regulated environment, • Work closely with product and design teams to deliver clinician-facing tools at scale Tech stack: React · TypeScript · Node.js/NestJS · Python/FastAPI · GCP · Kubernetes · Terraform · PostgreSQL · Redis · Pub/Sub · LLMs · AI Systems Looking for: • Strong full-stack engineering background with React + TypeScript, • Production experience building systems around LLMs - beyond simple API integration, • Deep understanding of failure modes in probabilistic systems, • Experience with output validation, fallback strategies, confidence thresholds, and human-in-the-loop workflows, • Familiarity with prompt engineering, RAG, fine tuning, or LLM evaluation frameworks, • Product minded engineers who enjoy ownership and shipping Nice to have: • Experience in clinical AI or other high-stakes AI domains, • Exposure to AI safety concepts in production, • Experience with internal AI evaluation or red-teaming exercises, • Familiarity with FHIR/HL7 integrations or event-driven architectures Please note you must have full right to work for this position.

About the Company Applied Intuition is powering the future of physical AI. Founded in 2017, the company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition supports customers across automotive, defence, trucking, construction, mining, agriculture, robotics and other industries through tools and infrastructure, operating systems and autonomy. Our products help teams build, test and deploy autonomy across real-world systems. Applied Intuition is headquartered in Silicon Valley, with offices across the US, Europe and Asia, including London. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognise the importance of flexibility and trust employees to manage their schedules responsibly where needed. About the Role We are looking for a hands-on Systems Engineer to join Applied Intuition’s growing London team. This is not a traditional documentation-heavy systems engineering role. The role sits at the intersection of systems architecture, software engineering, hardware integration, simulation/testing and customer delivery. You will work on real-world autonomy and defence-related projects, helping design, integrate and deliver complex systems where software meets physical hardware. This could include supporting system architecture, building and integrating hardware/software environments, working with simulation and test systems, and engaging directly with customers to understand requirements and deliver technical outcomes. The ideal candidate will be systems-minded, but still genuinely hands-on with code. Strong C++ is preferred, although strong Python experience may also be relevant. You may have started your career in systems engineering, aerospace, defence, robotics, autonomy, UAS or mission systems, but will now be close enough to software to build, debug and contribute technically. Responsibilities • Own or contribute to systems architecture across complex autonomy and defence-related projects., • Work hands-on with software, ideally C++ or Python, to build, debug and support technical delivery., • Integrate software with real-world hardware, including sensors, compute, networking, embedded systems or physical test environments., • Support simulation, testing and deployment workflows across customer-facing projects., • Work directly with customers and external stakeholders to understand requirements, shape technical solutions and support delivery., • Collaborate closely with autonomy engineers, software engineers and wider technical teams., • Help build and integrate physical systems where required, such as deployable edge environments with screens, compute, networking and hardware used for simulation, testing and customer demonstrations., • Operate across a broad technical landscape, moving between architecture, integration, software, hardware and delivery depending on the project. Qualifications • 5+ years of relevant engineering experience., • Strong hands-on coding ability in C++ or Python, with C++ preferred., • Experience across systems architecture, systems integration or hardware/software integration., • Exposure to physical hardware, such as sensors, embedded systems, edge compute, robotics platforms, test rigs, displays, networking, cabling or compute hardware., • Experience in aerospace, defence, robotics, autonomy, UAS, mission systems, safety-critical or mission-critical environments., • The ability to work directly with customers, technical stakeholders or external partners., • Strong systems thinking and the ability to move between big-picture architecture and hands-on technical detail., • A broad, ambitious and practical engineering mindset., • The ability to work onsite in London 5 days a week. Required Skills • Experience working on defence or aerospace programmes., • Experience with robotics, autonomy, UAS/UAVs, mission systems or deployable systems., • Experience with simulation environments, test environments, field trials or customer demonstrations., • Exposure to edge compute, ruggedised hardware, command-and-control systems, control rooms or physical integration environments., • Experience working across requirements, architecture, integration, verification, validation or deployment., • Prior experience in a customer-facing technical role, such as solutions engineering, field engineering, forward-deployed engineering or technical architecture. Pay range and compensation package • Location: London, UK, • Working pattern: Onsite 5 days a week, • Compensation: Firmly in the six-figure range, • Employment type: Full-time Equal Opportunity Statement Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification, we encourage you to apply anyway. You may be the right candidate for this or another role at Applied Intuition.

Job title: Network Performance/QA Validation/Network Test Lead Client: Telco Salary: £50,000-£60,000 + Bonus Location: London Skills: Network Testing, QA, Network Validation, IMS, Packet Switching, CS, Telco Network Protocols, Leadership The role: My client are seeking a Network Performance/Network Test/QA Validation Lead to join their team. You will likely be in a Lead position currently, and will either have managerial experience, or have the ability to manage a small team of Junior Engineer (2-4). Offices are Central London based, with expectations being 3 days a week in the office and 2 from home. You will need to have a valid driving license. There will be limited travel required with the position, likely once a month to parts of mainland Europe for short trips. The successful candidate will stem from a Telco background and have strong hands on experience around the Core Network. You should come from either a Mobile Network Operator (MNO), Mobile Virtual Network Operator (MVNO), or Tier 1 Supplier, and will have worked largely operated in Europe. Skills required: • Strong experience around Core Telco Networks, • Experience working for an MNO/MVNO/Tier 1 Supplier, • Good understanding of Network Validation, Testing, Performance and Quality, • Experience with Drive Testing useful, • CS (MSS/MGW, SBC, STP, SMSC, HLR, IVR), • PS (SGSN/SGW, PGW, PCRF, DNS, AAA), • IMS (CSCF, MRF, TAS, ePDG), • Good understanding of standards and architectures (3GPP, IETF, GSMA etc.), • Core Network Protocols (GTP, Gi, Sy, Gx, Gy, Ro, MAP, SIP, RTP, SMPP etc.), • Working through logs to debug issues Desirable: • SIM/eSIM/BAP Testing, • Oracle/SQL, • Unix/Linux

Senior Python Developer Watford, Hertfordshire (Hybrid) £70,000 - £75,000 per annum + Excellent benefits On behalf of an industry Leading organisation, I am seeking a Senior Python Developer with strong production experience building high-throughput, message-driven platforms. This role suits someone comfortable working on real-world, always-on systems where reliability, performance, and clear engineering judgement matter as much as clean code. The business is pleased to offer this role on a hybrid basis with a non-negotiable 3 days in office; therefore, you must be within easy reach of their Watford-based offices. Responsibilities: • Collaborate closely with Principal Engineers., • Provide technical guidance, insight, and mentorship to other engineers., • Participate in peer reviews and offer constructive feedback., • Support product stakeholders in shaping the roadmap., • Contribute to best practices and engineering standards across the wider engineering organization., • Participate in modern software development practices including pairing, code reviews, documentation reviews, testing, and continuous delivery., • Translate requirements into implementable technical specifications and tasks., • Maintain accurate and reliable technical documentation., • Provide regular updates on progress, timelines, risks, and dependencies., • Lead troubleshooting and incident resolution, including occasional out-of-hours support., • Ensure unit tests are implemented and fit for purpose., • Research and evaluate new technologies that could benefit the organisation., • Design and develop high-quality Python software that meets complex business needs., • Ensure code, documentation, and testing align with engineering standards., • Deliver solutions that meet acceptance criteria, performance expectations, and operational reliability., • Integrate products with monitoring and support tooling. Experience/Skills required: • Experienced Senior Engineer who can make sound trade-offs, design for scale, and contribute to complex systems without over-engineering., • Strong engineering judgement and real-world delivery experience., • Senior-level experience designing and building production Back End services in Python (3.10+)., • Strong background in high-throughput, message-based or event-driven systems., • Proven experience building API-first services, with a focus on performance, reliability, and maintainability., • Python Back End development, primarily using FastAPI and modern API patterns., • Strong understanding of RESTful API design, schema validation, and OpenAPI/Swagger., • Experience working with messaging and eventing platforms such as Kafka, RabbitMQ, Azure Service Bus, MQTT, or similar., • Cloud-native development experience is essential (ideally on Azure)., • Hands-on experience with containerisation (Docker) and orchestration platforms such as Kubernetes., • Exposure to building and supporting shared or internal libraries used across multiple services.

Full-time position. Onsite 5 days a week – Chiswick, London. We’re hiring a Mid Embedded Engineer to help develop, test, debug, and integrate the electronics and firmware systems at the heart of the HoloDrive platform and help bring our ambitious first product to market. About HoloMem At HoloMem, we’re building the next generation of mass data storage hardware; highly efficient, long life, and ultra durable. Our pioneering and patented holographic technology encodes data as light within advanced polymers, enabling a resilient and future fit alternative to today’s short lived and energy intensive data storage infrastructure. Over the past 24 months HoloMem has graduated from both the Intel Ignite and Deeptech Labs accelerators, been awarded two Innovate UK Smart Grants, closed a seed+ funding round, and most recently deployed a working HoloDrive prototype to a live data centre to prove the robustness of our system. Off the back of our breakthrough partnership with BDT, the world’s largest tape library manufacturer, we now begin the transition from prototype to product, maturing our validated system into a mass-produced technology platform that enables state of the art data storage performance at scale. We have ambitious plans, and we are now scaling up our West London based team to enable them. Join us. What You’ll Be Doing You will work hands-on across embedded software, electronics, test rigs, and prototype systems in a fast-moving R&D environment. You will develop and maintain embedded systems and tooling that enable reliable experimentation, rapid iteration, and repeatable system performance. Working at the interface of electronics, firmware, optics, and software, you will lead bring-up, debugging, and preventative maintenance for defined rigs, boards, and prototype subsystems. You will also contribute to HoloDrive product integration by helping translate experimental systems into more robust, scalable, and maintainable engineering solutions. This role requires practical embedded engineering judgement, strong debugging discipline, and the ability to make progress when requirements are still evolving. The Specifics About the Role This role is suited to a mid-level embedded engineer who can demonstrate the ability to: • Develop, test, and debug embedded software for prototype and product-adjacent systems, • Own defined embedded workstreams from implementation through bring-up, validation, and documentation, • Support the design, integration, and maintenance of precision electronic and electromechanical systems, • Work with microcontrollers, sensors, motors, encoders, drivers, and communication interfaces, • Improve the repeatability, reliability, and maintainability of experimental platforms, • Create practical tools, scripts, or test routines that improve engineering speed and system visibility, • Diagnose issues across firmware, electronics, mechanical interfaces, and lab setup, • Collaborate with electronics, optics, software, and product teams to integrate embedded systems into wider prototypes, • Work hands-on in our Chiswick office and R&D lab Who You Are You are a practical, curious embedded engineer who enjoys working at the boundary between electronics and software. You are comfortable debugging real hardware, writing reliable firmware, and taking responsibility for defined technical deliverables. You are not expected to have solved every problem before, but you should be able to reason clearly, test systematically, communicate uncertainty, and make sound engineering decisions without needing constant direction. You are likely to enjoy this role if you like building things that have to work in the real world: motors that move repeatably, sensors that produce trustworthy data, rigs that stay reliable, firmware that fails predictably, and test tools that help the wider team move faster. Required Experience • 2–3 years’ industry experience in electronics, embedded systems, mechatronics, robotics, instrumentation, automation, or a related field, • Degree-level background in electronics, embedded systems, mechatronics, physics, robotics, or a related technical discipline, or equivalent practical experience, • Experience writing, testing, and debugging C/C++ for embedded systems, • Hands-on experience with microcontroller-based systems such as ESP32, STM32, Teensy, Raspberry Pi, or similar, • Experience integrating peripherals and bringing up embedded systems on real hardware, • Practical experience working with motors, encoders, sensors, or other electromechanical systems, • Understanding of precision, timing, control, and repeatability considerations in embedded systems, • Familiarity with Linux fundamentals, preferably Debian-based systems, • Ability to read schematics and support electronics bring-up using tools such as oscilloscopes, logic analysers, and multimeters, • Working knowledge of common communication protocols such as I²C, SPI, UART, or CAN, • Experience debugging across hardware and embedded software in an R&D, prototyping, robotics, instrumentation, automation, or product development environment, • Clear communication skills and the ability to collaborate effectively within a multidisciplinary engineering team Desirable Skills • Experience using electronics design tools such as KiCad, Altium, or EasyEDA, • Exposure to PCB design, schematic capture, layout, or design-for-bring-up considerations, • Exposure to digital signal processing, • Exposure to FPGA design or integration, • Familiarity with PCIe, SAS, or other high-speed serial interfaces, • Experience with Python or other high-level languages for automation, testing, data analysis, or hardware control, • Exposure to optics, photonics, imaging systems, precision instrumentation, or scientific hardware, • Experience improving reliability, maintainability, or repeatability of lab rigs or prototype platforms, • Experience working in a fast-paced R&D, prototyping, or hardware startup environment Benefits At HoloMem • Competitive salary, • 25 days annual leave, • Employer pension contributions, • Cycle-to-work scheme, • A collaborative, knowledgeable team working on deeply technical, world-positive problems How to Apply Click apply or send your CV to careers@holomem.co.uk. Show us what you’ve designed, built, or tested. If you’re excited about the mission, even if you don’t meet every requirement, we’d love to hear from you. HoloMem is an equal opportunity employer. We value diversity and are committed to building an inclusive environment for all.

Electronics Design Engineer – Power Electronics (HVDC) - Contract: 12 Months (Limited / Umbrella / PAYE, Rate DOE) - Location: Greenwich About the Role: We are seeking a highly skilled Electronics Design Engineer to join our team on a 12-month contract. You will be responsible for the design, development, validation, and documentation of high-voltage Power Transmission Equipment used to supply undersea communication cable systems. This role focuses on high-voltage DC-DC conversion, thermal/mechanical integration, and ensuring designs meet the highest reliability and compliance standards. Key Responsibilities: • End-to-end hardware design, from concept through to production release, • Design and development of DC-DC converters (50–400VDC → 3–5kV DC, up to 5kW) and high-voltage circuits, • Perform thermal management and mechanical integration for high-power electronics, • Conduct HV testing, insulation resistance, partial discharge validation, and ensure compliance with IEC 62368-1, • Define test plans, schematics, and manufacturing documentation, • Apply FMEA, risk analysis, EMC/EMI design, and reliability engineering practices Required Experience & Skills: • Degree in Electrical/Electronic Engineering with 8+ years relevant experience, • Strong grounding in core electrical engineering fundamentals, with the ability to apply theory to practical design challenges, • Proven experience designing and releasing high-power DC-DC converters and HV systems, • Expertise in SMPS design, closed-loop control, thermal/mechanical integration, and high-voltage design standards, • Hands-on experience with simulation tools (LTspice, PLECS) and PCB design tools (Altium), • Proven ability to approach new or unconventional problems from first principles, • Experience working in environments where solutions are not predefined, requiring a proactive and analytical mindset, • High level of autonomy and ownership in previous roles, • Familiarity with ISO9001, TL9000, and regulated hardware development processes, • Strong communication and teamwork skills, with the ability to work across multidisciplinary engineering teams Why Join Us: This is a unique opportunity to work on mission-critical undersea communication technology in a collaborative and innovative environment. You will take ownership of complex high-voltage hardware projects and contribute to the next generation of Power Feeding Equipment. Apply Now If you are a hands-on Power Electronics Engineer with HVDC expertise and a passion for solving complex engineering problems, we would love to hear from you.

All3 is transforming how buildings are conceived, developed, and delivered. We combine AI-powered design with robotic prefabrication and on-site assembly to build custom architecture at the cost and speed of mass production - unlocking even the most complex sites. We’re currently seeking a Principal Platform Software Engineer to join our team, focused on shaping the system architecture and delivering software that defines the mobility, manipulation, autonomy, and reliability of our robotic systems. Responsibilities: • Defining software architecture for robotic mobility, manipulation, autonomy, and platform tooling;, • Developing and maintaining production-grade software in Modern C++ and Python for embedded Linux environments;, • Designing APIs, abstractions, and reusable libraries that support reliable and scalable robotic systems;, • Building software for task and behaviour orchestration, including state machines, behaviour trees, mission planning, and fault handling;, • Developing tooling for visualisation, logging, telemetry, performance analysis, and debugging;, • Supporting distributed communication systems, message-passing middleware, and data marshalling pipelines;, • Integrating device drivers and middleware across heterogeneous compute architectures;, • Setting technical standards, reviewing designs, and making pragmatic trade-offs to meet business goals;, • Leading technical discussions across robotics, hardware, controls, and product teams;, • Applying systems engineering principles to requirements analysis, architecture design, verification, and validation. Expertise: • Expert-level experience in production-grade software development with Modern C++ and Python;, • Strong experience working in embedded Linux environments;, • Deep understanding of API design, software abstractions, and library development;, • Experience designing reliable and scalable software for industrial operating environments;, • Advanced experience in robotic software development, ideally in legged robotics;, • Knowledge of locomotion, whole-body control, or state estimation systems;, • Experience with distributed heterogeneous compute architectures, including GPGPU and CUDA;, • Strong understanding of pub/sub communication systems, telemetry, logging, and visualisation pipelines;, • Experience with task orchestration, behaviour trees, state machines, mission planning, or fault handling;, • Strong systems engineering knowledge, including requirements analysis, architecture design, verification, and validation;, • First-principles approach to problem-solving;, • Strong communication and technical leadership skills, with the ability to work across functional boundaries. We offer: • Chance to be a part of a large-scale project;, • Team driven by impactful cause;, • Hybrid format of work with the lab located in Park Royal;, • Private dental or full medical (dental treatments aren’t covered) insurance;, • Flexible working schedule;, • 28 days of annual leave.

Role – Senior RF Engineer Location - London, UK My client is seeking a Senior RF Engineer who will be responsible for significant work packages of RF/Microwave module development, test, and support as well as antenna design, modelling, and requirements. They support other areas of the business with RF/antenna design expertise. Key Responsibilities • Proactively lead antenna and RF equipment development, via internal or sub-contracted work packages., • Maintain antenna and RF designs – e.g., for product Improvements and obsolescence. Management, • Oversee derivation of requirements and specifications and their verification & validation, • Provide technical support to Supply Chain, Quality, Suppliers and Customers., • Support external antenna and RF designs and maintain antenna/RF Production Tests., • Support RF module manufacture – responding to technical issues, undertaking trend analysis and root cause analysis., • Ensure that Engineering Procedures are correctly followed, and the quality is maintained through design and manufacture., • Generate estimates, plan and generally manage small work packages., • Ensure adequate documentation is maintained. Requirements • PCB Design at microwave frequencies - comfortable with manipulating schematics and defining/reviewing required layout., • RF Component selection; knowledge of High Power RF amplifier, Low Noise Amplifiers, Limiters, Circulators, Filters, Mixers and Phase Locked Loop usage., • RF System Design (e.g. Cascade Analysis)., • Familiarity with RF test equipment (e.g. Spectrum Analysers, Vector Network Analysers)., • Antenna theory and design and test including array antennas, including slotted array and printed antennas, • Design for test and design for manufacture., • Experience of a Production Environment (e.g. good understanding of processes such as SMT)., • Self-motivated and enjoys working within a team., • Good command of written and verbal English. Looking forward to hearing back from you!

We are GlobalLogic, a Hitachi Group Company and a leader in digital engineering. We help brands across the globe design and build innovative products, platforms, and digital experiences for the modern world. By integrating experience design, complex engineering, and data expertise - we help our clients imagine what’s possible and accelerate their transition into tomorrow’s digital businesses. At GlobalLogic, we have a strong track record of successfully delivering ground-breaking Cloud, Data & Digital Transformation programmes and we have an international reach working with a wide variety of projects and customers. Our approach enables companies to “build the exceptional” and be fit for purpose in the 21st century. We are seeking a Contract Data Integration Engineer within a niche team to provide data/integration, data quality, pipelines and integration layers to clients' platforms. Entailing pipeline development and maintenance, data quality profiling and monitoring, reconciliation and enrichment workflows, graph modelling, and stakeholder reporting on metrics. Ideally you will possess data quality analyst capabilities and/or focus on pipeline architecture, Kafka integration patterns, and export service development. These roles will entail writing production code, both will engage with data quality, and both will contribute to the broader service codebase. Our Contract Assignments are Inside IR35, hybrid working. Initially 6-9 months. About the role/Experience with: • Experience with Python for data pipelines, export services, ETL, reconciliation, profiling scripts, • Data quality assessment, • Apache Kafka, • PostgreSQL for data modelling, query design, migrations etc, • Data modelling and schema design, • REST API design Ideally you will have: • Experience of C# to be able to contribute to existing service/integration codebase, • Memgraph or other graph databases / Cypher, • Jupyter notebooks; ETL/ELT; Git/GitHub workflows and automated testing, • Elasticsearch, Data visualisation, CI/CD About you (ideally): As a Data Integration Engineer you’ll be integral to our client facing delivery teams, working with clients to design and build their technology enabled platform solutions. ● You will be responsible for providing technical thought leadership on client engagements ● You will actively contribute to development team activities and technical solutions where strong attention to detail is required ● You will be hands on in projects, taking a lead in the design and development of solutions as well as providing technical guidance and validation to the wider team, working on critical cloud-based complex application solutions that can be deployed automatically ● You will be responsible for stakeholder management, building client relationships and identifying new opportunities We hire based on expertise, potential and enthusiasm to make a difference, then we give you the tools and skills you need to create impact. This role is based in our UK&I region. Why work at GlobalLogic. Our goal is to build an inclusive, positive culture where everyone can feel comfortable being themselves, empowering our people to create their own high standards and therefore more value. We work together to promote fairness while recognising, valuing and embracing differences – providing a transparent support structure and generous training budget to help our people develop skills to progress their career. Our region also supports a hybrid model which can flex across a wide spectrum of working options determined by our business, customer and individual needs. We are an equal opportunities employer. It is our policy to promote an environment free from discrimination, harassment and victimisation.

Job title: Network Performance / QA Validation / Network Test Lead Client: Telco Salary: £50,000-£60,000 + Bonus Location: London Skills: Network Testing, QA, Network Validation, IMS, Packet Switching, CS, Telco Network Protocols, Leadership The role: My client are seeking a Network Performance / Network Test / QA Validation Lead to join their team. You will likely be in a Lead position currently, and will either have managerial experience, or have the ability to manage a small team of Junior Engineer (2-4). Offices are Central London based, with expectations being 3 days a week in the office and 2 from home. You will need to have a valid driving license. There will be limited travel required with the position, likely once a month to parts of mainland Europe for short trips. The successful candidate will stem from a Telco background and have strong hands on experience around the Core Network. You should come from either a Mobile Network Operator (MNO), Mobile Virtual Network Operator (MVNO), or Tier 1 Supplier, and will have worked largely operated in Europe. You will have skills around as many of the following as possible: • Strong experience around Core Telco Networks, • Experience working for an MNO / MVNO / Tier 1 Supplier, • Good understanding of Network Validation, Testing, Performance and Quality, • Experience with Drive Testing useful, • CS (MSS/MGW, SBC, STP, SMSC, HLR, IVR), • PS (SGSN/SGW, PGW, PCRF, DNS, AAA), • IMS (CSCF, MRF, TAS, ePDG), • Good understanding of standards and architectures (3GPP, IETF, GSMA etc.), • Core Network Protocols (GTP, Gi, Sy, Gx, Gy, Ro, MAP, SIP, RTP, SMPP etc.), • Working through logs to debug issues Desirable: • SIM / eSIM / BAP Testing, • Oracle / SQL, • Unix / Linux Please apply ASAP for more information.

Exciting opportunity at one of the fastest growing financial services firms around the world. They offer prime brokerage, clearing and financing across traditional and digital assets, and are now looking to hire world-class engineers to help build on their success. This is a unique role, blending Level-1 support responsibilities with advanced DevOps engineering tasks, ensuring robust operational efficiency and technical excellence. The successful Production Engineer will have outstanding communication skills, a collaborative, customer-focused mindset and be passionate about continuous learning & enhancing team capabilities. Responsibilities • Provide production environment support, quickly diagnosing and resolving problems (offline & real-time) and keeping internal customers informed, • Design, develop & maintain advanced reconciliation applications, ensuring consistency across digital & traditional finance trade-capture processes, • Develop monitoring dashboards and alerts using DataDog, Grafana (or similar) to proactively identify and address production issues, including end-to-end system latency, • Build tooling & monitoring solutions to facilitate comprehensive post-release validation, • You will be the incident coordinator for operational incidents on the core engineering production platform (tech comms, uphold best practices, post-incident follow-up, etc.) Skills & Experience Required • 5+ years' experience in L1 Support, DevOps, SRE (or similar roles), ideally in fintech environments, • Proven experience designing and implementing monitoring and alerting tools (DataDog, Grafana), • Strong understanding of and experience troubleshooting REST APIs and WebSockets, • Proven track record of handling multiple priorities effectively and ability to deal with ambiguity, • Experience with incident response protocols, • Strong technical expertise with Python, Unix, PostgreSQL, • Knowledge of Kafka, CockroachDB, FastAPI, GraphQL, Snowflake, Redis, and QuestDB (or equivalent), • Strong experience with automation and reconciliation processes Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful. Contact If you feel you are suitable for this role, drop me an email or give me a call: Jack Peck [e] jack.peck@oxfordknight.co.uk [t] +44 20 3745 6537 linkedin.com/in/jack-peck-448a70131

This is an energy trading and infrastructure asset investment firm, powered by deep fundamental research and advanced analytics. Now seeking a skilled senior data engineer to support the Intraday Short-Term Power business within the Data Science & Technology team in London. This team is pivotal in giving the firm a competitive edge, and this high-impact role focuses on engineering the availability, quality and performance of real-time data feeds that drive execution strategies, analytics and decision-making. You'll integrate & manage feeds from multiple sources, including fundamental market data, grid operations, weather providers and internal trading systems. This is an exciting opportunity to work within a fast-paced, data-driven trading environment, making a direct impact on systematic trading and risk management efforts. Requirements • 5 -10 years as a data engineer, ideally in Intraday Short-Term Power trading (or similar real-time energy market environments), • Experience with energy commodity time-series datasets is a must-have, • Understanding of systematic trading workflows (signal generation, back-testing, model validation), • Demonstrable ability to work in a high-frequency, intraday trading environment with tight feedback loops, • ETL/ELT frameworks experience writing pipelines to load millions/billions of records, • Advanced skills in writing highly optimized SQL code & relational databases, • Hands-on experience developing data solutions in Python, Pandas, Numpy, etc. Desirable • Exposure to AWS & Snowflake technologies, • Familiarity with short-term power market data sources, such as EPEX, ENTSO-E or Nord Pool, is strongly preferred Rewards and Incentives • Competitive base salaries + bonuses, • Generous benefits program, including, • parental and family leave policies, • comprehensive insurance (medical, dental, retirement, life), • charity volunteering allowance + charitable contribution match program, • tuition assistance & reimbursement + continued learning opportunities Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful. Contact If you feel you are suitable for this role, drop me an email or give me a call: Jack Peck [e] jack.peck@oxfordknight.co.uk [t] +44 20 3745 6537 linkedin.com/in/jack-peck-448a70131

At Sahaj Software, we’re not just shipping pipelines - we’re designing purpose-built data platforms that solve complex challenges for some of the UK’s most forward-thinking organisations. We believe in craftsmanship, autonomy, and trust. No hierarchies and no bureaucracy, just small teams solving big problems with modern tech. Why this role? Working as a Lead Data Engineer, you’ll own the design and delivery of scalable data platforms, pipelines, and architectures that power real business decisions. You’ll work closely with data scientists, engineers, and stakeholders to transform messy data into clean, reliable, and production-grade systems. This is a hands-on, high-impact role where you’ll influence technical direction while staying close to the code. Perfect if you want scope for growth without going “post-technical.” What you’ll do • Design and build modern data platforms using Databricks, Apache Spark, Snowflake, and cloud-native services (AWS, Azure, or GCP)., • Develop robust pipelines for real-time and batch data ingestion from diverse and complex sources., • Model and optimise data for performance, visibility, and downstream analytics/ML use cases., • Champion best practices: CI/CD, TDD, GitOps, observability, schema validation, and data quality., • Collaborate with data scientists and ML engineers to deploy production-grade AI/ML systems., • Guide clients on data strategy, architecture, and platform modernisation., • Mentor and influence engineers across Sahaj, helping grow our collective data engineering capability. What we’re looking for • Must have solid experience as a Senior/Lead Data Engineer in complex enterprise environments., • Can demonstrate strong coding skills in Python (Scala or functional languages a plus)., • Expertise with Databricks, Apache Spark, and Snowflake is a must (HDFS/HBase also useful)., • Has experience integrating large, messy datasets into reliable, scalable data products., • Strong understanding of data modelling, orchestration, and automation., • Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerisation (Docker, Kubernetes)., • A craftsman’s mindset: you care about code quality, maintainability, and doing things the right way. What you’ll get at Sahaj • Unlimited annual leave – we trust you to manage your time., • Open salaries & stock options – transparency from the ground up., • Private health & life insurance – covered by us., • Flat structure, no hierarchy – you own your work, and your voice counts.

We are GlobalLogic, a Hitachi Group Company and a leader in digital engineering. We help brands across the globe design and build innovative products, platforms, and digital experiences for the modern world. By integrating experience design, complex engineering, and data expertise - we help our clients imagine what’s possible and accelerate their transition into tomorrow’s digital businesses. At GlobalLogic, we have a strong track record of successfully delivering ground-breaking Cloud, Data & Digital Transformation programmes and we have an international reach working with a wide variety of projects and customers. Our approach enables companies to “build the exceptional” and be fit for purpose in the 21st century. We are seeking Contract Full-stack Platform Engineers to join a dedicated niche team delivering and evolving our clients' technology platforms. Entailing full lifecycle development with Kanban or Scrumban, with ability to communicate and consult, lead where required, on implementation, quality and operability. Our Contract Assignments are Inside IR 35, hybrid working. Initially 6-9 months About the role: • Experience with C#/.NET, • Additional languages highly desirable ie Java, Python, • React/TypeScript, • RESTful API design, • Apache Kafka, • PostgreSQL, • Git/GitHub workflows, • Experience with Kubernetes deployments; able to build CI/CD pipelines About you (ideally): As a Senior Software Engineer/Platform Engineer you’ll be integral to our client facing delivery teams, working with clients to design and build their technology enabled platform solutions. ● You will be responsible for providing technical thought leadership on client engagements ● You will actively contribute to development team activities and technical solutions where strong attention to detail is required ● You will be hands on in projects, taking a lead in the design and development of solutions as well as providing technical guidance and validation to the wider team, working on critical cloud-based complex application solutions that can be deployed automatically ● You will be responsible for stakeholder management, building client relationships and identifying new opportunities We hire based on expertise, potential and enthusiasm to make a difference, then we give you the tools and skills you need to create impact. This role is based in our UK&I region. Why work at GlobalLogic. Our goal is to build an inclusive, positive culture where everyone can feel comfortable being themselves, empowering our people to create their own high standards and therefore more value. We work together to promote fairness while recognising, valuing and embracing differences – providing a transparent support structure and generous training budget to help our people develop skills to progress their career. Our region also supports a hybrid model which can flex across a wide spectrum of working options determined by our business, customer and individual needs. We are an equal opportunities employer. It is our policy to promote an environment free from discrimination, harassment and victimisation.

ABOUT US Sing King is on a mission to delight millions of singers around the world through our portfolio of games and singing experiences across multiple platforms. Our successful flagship YouTube channel welcomes over 14 million subscribers and 30 million unique viewers each month, and along with our latest Mobile Game release we are continuing to build innovative and exciting products that spread joy to singers wherever and whenever they sing. We are a team of music lovers, game enthusiasts and entrepreneurial spirits. We are passionate about our vibrant and growing community of global singing fans. This is a unique opportunity to play a key role in the growth of an ambitious, nimble and fast-growing entertainment business. Join us! ABOUT THE ROLE As our full-time Software Engineer, you will help transform processes and develop fast, reliable web-based tools and apps that deliver impact. This role is a great fi t if you enjoy taking ownership of areas that don’t yet have clear answers, and turning problems into scalable, forward-thinking solutions. You connect points of commonality across the business and wrap them into combined or complimentary solutions. This role sits within the Data & Tools function, responsible for building the systems that allow Sing King’s data, content, and products to operate reliably and scale intelligently. At the heart of Sing King is our CMS. It’s responsible for orders, data validation, third-party reporting, distribution, and more. Under your guidance, you’ll evolve us from our existing combination of backend and frontend systems into a new bespoke solution incorporating an API currently being developed in Python (FastAPI with PostgreSQL) and a web-app frontend in React.js or similar. WHAT YOU’LL DO ● Lead the CMS architecture, the heart of the creation and distribution of our assets and data. In collaboration with the Senior Leadership you’ll defi ne, scope, and plan improvements, new features, anticipating business needs before they happen. ● Maintain and develop our internal REST API that centralises business logic for the CMS, tools, asset management, data validation, and publishing of Karaoke content. ● Transform the CMS frontend to deliver a fast, intuitive experience, built around how people actually work. ● Design and build automation workflows that remove manual toil from content production, such as thumbnail generation, media transcoding, uploading, scheduling, playlist generation, web-scraping and more. ● Prototype and develop simple light web-apps and services that empower internal teams or service our fans, whether that’s Discord/Slack bots, or simple ways for the public to request songs and submit user-generated content. ● Collaborate with Data experts to turn models and research into internal tools and help solve data quality challenges through fuzzy matching, LLM-assisted enrichment, or other solutions. WHAT YOU’LL BRING ● Organisation - Ability to manage multiple technical priorities with excellent time and project management. ● Agile approach - Can develop scrappy Proof of Concepts to pitch new ideas and generate buy-in, as well as making swift pivots if business priorities change. ● Attention to detail - Can deliver accurate results that are key to decision-making and maintaining high quality deliveries with our music industry partners. ● Creativity to solving problems - Able to translate complex business requirements into novel and practical designs, that make sure every need is taken care of. ● Security conscious mindset - Solid understanding of software engineering fundamentals, data privacy, and secure coding practices. DESIRED SKILLS ● Strong programming skills – Proficient in languages such as Python, Node.js, and JavaScript, with a solid understanding of core engineering principles. ● Version control & deployment practices – Strong experience with Git/GitHub and CI/CD workflows, with a focus on clean, reliable releases. ● Cloud & backend systems – Experience working with cloud platforms (e.g. Google Cloud Platform) and backend systems, including deploying and maintaining production-ready web applications. BONUS POINTS ● Passion for karaoke, rhythm games, or community-led mobile games ● Experience with no-code, low-code platforms such as Retool. ● Experience with popular web scraping methods. ● Experience with PostgreSQL and BigQuery HOW WE WORK ● We’re a small team, so we move fast and experiment often ● We believe in creative exchange and collaborative ownership ● We prioritise ideas that make our players feel something - joy, energy, expression ● We operate a hybrid working policy at Sing King and expect a balance of office and home working for this role - our office is in Farringdon, London ● We offer a competitive salary and benefits package We’re committed to building a diverse and inclusive team. We strive to create an environment where everyone feels they belong, and we welcome applications from people of all backgrounds, experiences, and identities. If this role excites you, we encourage you to apply, even if your experience doesn’t align perfectly with every requirement. We are dedicated to making our recruitment process accessible to all. Please let us know if you require any adjustments (for example, interview location, structure, or materials in an alternative format).

ABOUT US Sing King is on a mission to delight millions of singers around the world through our portfolio of games and singing experiences across multiple platforms. Our successful flagship YouTube channel welcomes over 14 million subscribers and 30 million unique viewers each month, and along with our latest Mobile Game release we are continuing to build innovative and exciting products that spread joy to singers wherever and whenever they sing. We are a team of music lovers, game enthusiasts and entrepreneurial spirits. We are passionate about our vibrant and growing community of global singing fans. This is a unique opportunity to play a key role in the growth of an ambitious, nimble and fast-growing entertainment business. Join us! ABOUT THE ROLE As our full-time Full Stack Engineer, you will help transform processes and develop fast, reliable web-based tools and apps that deliver impact. This role is a great fi t if you enjoy taking ownership of areas that don’t yet have clear answers, and turning problems into scalable, forward-thinking solutions. You connect points of commonality across the business and wrap them into combined or complimentary solutions. This role sits within the Data & Tools function, responsible for building the systems that allow Sing King’s data, content, and products to operate reliably and scale intelligently. At the heart of Sing King is our CMS. It’s responsible for orders, data validation, third-party reporting, distribution, and more. Under your guidance, you’ll evolve us from our existing combination of backend and frontend systems into a new bespoke solution incorporating an API currently being developed in Python (FastAPI with PostgreSQL) and a web-app frontend in React.js or similar. WHAT YOU’LL DO ● Lead the CMS architecture, the heart of the creation and distribution of our assets and data. In collaboration with the Senior Leadership you’ll defi ne, scope, and plan improvements, new features, anticipating business needs before they happen. ● Maintain and develop our internal REST API that centralises business logic for the CMS, tools, asset management, data validation, and publishing of Karaoke content. ● Transform the CMS frontend to deliver a fast, intuitive experience, built around how people actually work. ● Design and build automation workflows that remove manual toil from content production, such as thumbnail generation, media transcoding, uploading, scheduling, playlist generation, web-scraping and more. ● Prototype and develop simple light web-apps and services that empower internal teams or service our fans, whether that’s Discord/Slack bots, or simple ways for the public to request songs and submit user-generated content. ● Collaborate with Data experts to turn models and research into internal tools and help solve data quality challenges through fuzzy matching, LLM-assisted enrichment, or other solutions. WHAT YOU’LL BRING ● Organisation - Ability to manage multiple technical priorities with excellent time and project management. ● Agile approach - Can develop scrappy Proof of Concepts to pitch new ideas and generate buy-in, as well as making swift pivots if business priorities change. ● Attention to detail - Can deliver accurate results that are key to decision-making and maintaining high quality deliveries with our music industry partners. ● Creativity to solving problems - Able to translate complex business requirements into novel and practical designs, that make sure every need is taken care of. ● Security conscious mindset - Solid understanding of software engineering fundamentals, data privacy, and secure coding practices. DESIRED SKILLS ● Strong programming skills – Proficient in languages such as Python, Node.js, and JavaScript, with a solid understanding of core engineering principles. ● Version control & deployment practices – Strong experience with Git/GitHub and CI/CD workflows, with a focus on clean, reliable releases. ● Cloud & backend systems – Experience working with cloud platforms (e.g. Google Cloud Platform) and backend systems, including deploying and maintaining production-ready web applications. BONUS POINTS ● Passion for karaoke, rhythm games, or community-led mobile games ● Experience with no-code, low-code platforms such as Retool. ● Experience with popular web scraping methods. ● Experience with PostgreSQL and BigQuery HOW WE WORK ● We’re a small team, so we move fast and experiment often ● We believe in creative exchange and collaborative ownership ● We prioritise ideas that make our players feel something - joy, energy, expression ● We operate a hybrid working policy at Sing King and expect a balance of office ce and home working for this role - our office is in Farringdon, London ● We offer a competitive salary and benefits package We’re committed to building a diverse and inclusive team. We strive to create an environment where everyone feels they belong, and we welcome applications from people of all backgrounds, experiences, and identities. If this role excites you, we encourage you to apply, even if your experience doesn’t align perfectly with every requirement. We are dedicated to making our recruitment process accessible to all. Please let us know if you require any adjustments (for example, interview location, structure, or materials in an alternative format).

My client is a leading diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. They value autonomy and the ability to quickly pivot to capture opportunities, so they operate using their own capital and trading at their own risk. Headquartered in Chicago with offices throughout the US, Canada, Europe, and Asia, they trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. They have also leveraged their expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. Operating with respect, curiosity and open minds, the people who thrive here share the belief that it's not just what you do that matters-it's how you do it. This is a place of high expectations, integrity, innovation and a willingness to challenge consensus. As an AI Engineer, you will be an integral member of a collaborative multi-asset trading team. You'll work on high-impact machine learning (ML) and artificial intelligence (AI) initiatives that are central to the business strategy. In this role, you will build critical infrastructure and tooling that leverages AI and ML technology to enhance productivity, efficiency, and discover innovative paths to challenging business and technology problems. Surrounded by cutting-edge technology and experienced trading teams, you will have the opportunity to tackle fascinating new projects while becoming a subject-matter expert in a critical and innovative role. Key Responsibilities: • Drive end-to-end development of AI infrastructure and AI-driven applications: from initial proof-of-concept to production deployment and ongoing maintenance., • Collaborate with technologists, traders, quantitative researchers, and data scientists to identify high-impact opportunities for integrating AI and machine learning into technology and business use cases., • Implement automated systems for continuous training, validation, and monitoring of models, minimizing downtime and ensuring reliability., • Provide technical leadership in selecting, integrating, and optimizing AI and ML frameworks, libraries, and tools across diverse hardware and software environments., • Create and maintain feature pipelines, feature stores, and model stores., • Develop frameworks to enable scalable, reproducible research., • Proactively troubleshoot performance bottlenecks, conduct root-cause analyses, and implement solutions to optimize GPU or CPU resource usage. Qualifications: • Bachelor's or advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field., • 3+ years of experience working with machine learning and artificial intelligence technology., • Strong understanding of core machine learning and artificial intelligence concepts., • Excellent programming skills in Python., • Demonstrated experience in building, validating, deploying, monitoring, and updating production ML and AI models., • Hands-on experience with MLOps and AIOps infrastructure and tooling., • Proficient in problem-solving and analytical reasoning., • Exceptional communication and collaboration skills., • Experience with ML frameworks, such as TensorFlow, PyTorch, TensorRT, or ONNX., • Experience with Large Language Models, including RAG and fine-tuning techniques., • Familiarity with compute infrastructure necessary to support operating AI and ML technology. Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful. Contact If this sounds like you, or you'd like more information, please get in touch: George Hutchinson-Binks george.hutchinson-binks@oxfordknight.co.uk (+44) 07885 545220 linkedin.com/in/george-hutchinson-binks-a62a69252

About Pyxos Pyxos is the agentic operating platform for data privacy compliance. Where incumbents sell workflow tracking tools and dashboards, we ship agents that execute compliance work — RoPA, DSARs, DPIAs, vendor risk, breach response, cross-border transfers — under human oversight. Our benchmark is an 80%+ reduction in manual privacy work. Pyxos was incubated at NEOM in Saudi Arabia. KSA is our first market; we expand from there across the GCC, then into the EU, UK, and US. We have one paying enterprise customer and six design-partner pilots launching with enterprise customers in KSA and the UAE. The founding team is senior. Pyxos is led by a six-time Silicon Valley venture-backed technology CEO with four significant exits, now based in London, alongside operating leaders with deep enterprise software and AI experience. The position You will own the technical direction of our agent surface, the proprietary build environment behind it (our Agentic Studio), and the evaluation, observability, and safety layers that make the system trustworthy enough for regulated enterprise deployment. We build with AI: agentic development tooling is core to how Pyxos ships, and we expect the person in this position to extend that approach, keeping the team deliberately lean. You will be part of the founding team, the most senior technical person, reporting to the CEO as part of the founding leadership team, and architectural authority over the AI layer. You will work closely with our VP, Product & Operations (based in the US), who owns product and operational engineering. This is a hands-on role. You inherit one strong engineer and a working production system, and your job is to ship — writing code, designing agents, owning the evaluation work, making the architectural calls. Hiring happens in parallel, deliberately and slowly, with a strong bias toward keeping the team small and leveraging AI tooling to extend its output. The first 90 days Your first ninety days are defined by an in-flight commitment: delivering v1 of the Pyxos platform to our design-partner pilots by September 1, 2026. The work is underway. You will step into it, take ownership of the AI engineering path to that milestone, and make the technical calls needed to land it on time. Concretely, that means hardening the agent surface across the pilot workflows; tightening the evaluation discipline to a standard that holds up under regulated scrutiny; and resolving the architectural decisions — model routing, memory, guardrails, audit trail — that define how the platform scales beyond v1. You will be writing code, not just directing it. Hiring is a parallel activity, paced to the work and held to a high bar; we would rather stay small longer than scale headcount ahead of need. What we expect you to have done before: • Shipped agentic systems in production. Multi-step LLM systems with tool use, sub-agent orchestration, persistent memory, and human-in-the-loop steps. You can describe specific failure modes and how you instrumented your way out of them., • Evaluation as a discipline. You have designed and operated eval harnesses measuring faithfulness, hallucination rate, instruction-following, latency, and cost across model versions and prompt changes. For us, this is the clearest indicator of someone who has shipped LLM systems in production., • Deep, current LLM engineering practice. System-level prompt design, RAG, structured generation, fine-tuning trade-offs (SFT, DPO, LoRA), and working knowledge of the frontier model landscape., • LLM safety and security. Prompt injection mitigation, dual-LLM or plan-then-execute patterns, output validation, tool-use restrictions, policy enforcement., • Production engineering rigor. Strong Python; cloud fluency (AWS, GCP, or Azure); CI/CD, observability, cost attribution., • Engineering leadership at startup pace. You have hired, managed, and grown teams — not just been an individual contributor. Nice to have: regulated-industry experience (privacy, finance, healthcare, legal tech); BYOC or on-prem deployment experience; familiarity with the EU AI Act or GDPR Article 22; Arabic language capability. What we are not looking for This is not a research role; we are not training foundation models or publishing papers as a primary output. We are building production systems where the cost of a wrong answer is a regulatory fine, which calls for a different set of disciplines and a different kind of engineer. Logistics Remote, UK or EU. Working pattern overlaps reasonably with European and Gulf time zones. Occasional travel to customer sites and team gatherings. Competitive base for an early-stage startup with meaningful founding-team equity; specifics in early conversations. Process Initial CEO conversation → technical deep-dive on agentic systems and evaluation → architecture working session on a Pyxos use case → references → offer. Three weeks, first conversation to decision. Pyxos is an equal opportunity employer. We hire on the basis of capability, judgment, and fit with what we are building. We welcome applications from candidates of all backgrounds and will make reasonable adjustments through the interview process on request.

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

Job Title: SRE Location: London, UK(onsite) Mode of Engagement: Permanent /Contract JD: SRE Role description We need an experienced SRE to focus predominantly on automation, optimization, and process re-engineering using AI for the Market Risk Platform. Success is measured by capacity created 9toil eliminated, fewer manual steps, faster recovery, safer/faster changes) not by being the primary BAU support resources. Strong Python and provable agentic AI delivery Primary Objectives: Eliminate Operational toil and recurring manual work through durable automation Re-engineer support/change processes to reduce handoffs, approvals friction and rerun complexity Industrialize reliability operations so existing SREs spend less time firefighting and more time engineering Key Responsibilities (Automation & Process first) Automation Engineering (Core) Build production grade automation in Python(tools, services, workflows) to remove repetitive work: environment checks, dependency validation, automated reruns/reprocessing, safe restarts, drift detection, remediation actions, and standardized operation tasks Create self-service capabilities for common requests(guard railed, auditable, repeatable) Implement “automation with Safety”: idempotency, dry-run modes, approval gates where needed, rollback/undo strategies, and clear audit trails Process Re-engineering (Core) Map current operation processes (incident/problem/change, release readiness, rerun/recovery, access/entitlements, environment onboarding) and redesign them to remove waster and reduce cycle time. Standardize runbooks/playbooks into executable workflows, reduce tribal knowledge via templates, checklists, and automated pre-flight controls Defined and track operation KPIs (toil hours removed, alert volume reduction, MTTR improvements, change failure rate reduction, rerun time reduction). Agentic AI Design and implement agentic workflows that take action using tools/runbooks(e.g., diagnostics, evidence gathering, correlation, guided remediation, change-risk checks, automated rerun orchestration) Put strong controls in place: soped permissions, deterministic fallbacks, human-in-the-loop approvals for risky actions, evaluation harnesses and measurable outcomes. Productionize with monitoring, logging and post incident learnings feeding back into the agent/tooling Observability (enablemen for automation) Required skills & Experience Senior SRE experience on distributed systems and batch/intraday workloads in a production environment. Strong Python Provable agentic AI experience showing o Tool integration, guard rails, evaluation approach o Measurable impact (toil reduction, MTTR reduction, alert reduction etc) Demonstrated process optimization ability (removing steps/handoffs, standardizing workflows, implementing light weight controls with metrics) Strong Linux and troubleshooting fundamentals across application/system/network layers Experience working across mixed estates ( On Pre VMs + Cloud, with some Kubernetes exposure for operational monitoring/reruns) Differentiators Exposure to Banking/Finance Market Risk Domains Experience and knowledge of Athena eco system familiarity or similar (Sec DB Quartz)

Location Various locations across Europe Contract 12-Month Freelance Contract Start Date: June 2026 Overview We are currently seeking an experienced Freelance Protection Relay Commissioning Engineer to support the delivery of multiple large-scale data centre projects across Europe. This is an excellent opportunity to join a fast-paced and growing sector, working on critical infrastructure projects for leading developers, EPC contractors, and hyperscale clients. The successful candidate will play a key role in the testing, commissioning, troubleshooting, and energisation of HV/MV electrical systems, with a strong focus on protection relay systems and associated commissioning activities. Responsibilities • Commissioning and testing of HV/MV electrical systems within live and greenfield data centre environments, • Configuration, testing, and fault-finding of protection relays, • Carrying out secondary injection testing and relay validation, • Protection scheme testing including interlocks, trip circuits, and logic checks, • Review and interpretation of electrical drawings, schematics, and protection philosophies, • Support energisation activities and switching operations where required, • Liaise with clients, OEMs, subcontractors, and commissioning teams on-site, • Produce commissioning documentation, test records, and punch lists, • Ensure all works are completed in line with project specifications, safety standards, and commissioning procedures Requirements • Proven experience commissioning protection relay systems on mission critical, data centre, substation, or industrial projects, • Strong knowledge of protection relays including:, • Siemens SIPROTEC, ABB Relion, Schneider MiCOM, GE Multilin, SEL relays, • Experience with secondary injection testing equipment, • Strong understanding of HV/MV systems and electrical protection principles, • Ability to read and interpret electrical schematics and protection drawings, • Previous experience working on data centre projects is highly desirable, • EU passport or valid right to work in Europe preferred, • Fluent English communication skills Package • Competitive daily rate, • Long-term 12-month contract, • Opportunity to work on high-profile hyperscale data centre projects across Europe, • Flights, accommodation, and rotation package available depending on project location If you are interested in hearing more about this opportunity, please apply directly or reach out for a confidential discussion.

Electronics Engineer West London On Site Role £55,000-£65,000 We are currently partnering with an innovative deep-tech hardware company developing next-generation data storage technology. Following recent investment and continued technical success, the business is now scaling significantly and expanding its engineering teams across multiple disciplines. The company is developing highly advanced storage systems focused on long-life, energy-efficient, and resilient infrastructure solutions designed to meet the increasing demands of modern data environments. As part of this growth, they are now looking to hire an Electronics Engineer to support the continued development of complex PCB-based hardware systems. This is a fantastic opportunity for an ambitious Engineer who enjoys working across the full hardware lifecycle — from schematic capture and PCB design through to bring-up, debugging, validation, and manufacturing support. You will join a highly collaborative R&D team working on cutting-edge electromechanical and electronic systems in a fast-paced environment. The role will involve hands-on lab work, PCB development, validation testing, and close collaboration with multidisciplinary engineering teams to support the transition from prototype hardware into manufacturable products. The role is based in West London and requires onsite working 5 days per week. Key Responsibilities • Develop and update PCB schematics for subsystem electronics., • Support PCB layout activities directly or alongside layout engineers., • Select components with consideration for performance, availability, cost, and manufacturability., • Bring up, debug, and validate PCB assemblies using lab equipment and structured testing methods., • Work across analog, digital, sensor interface, motor driver, and power electronics systems., • Prepare fabrication and assembly documentation for prototype and production builds., • Support EMC, reliability, and validation testing activities., • Investigate and resolve PCB assembly and manufacturing-related issues with suppliers and partners., • Collaborate closely with multidisciplinary engineering and technical teams. Experience Required • Minimum of 2 years’ industry experience developing PCB-based electronic hardware., • Degree-qualified in Electronic Engineering, Electrical Engineering, Mechatronics, or a related subject., • Strong experience with schematic capture and PCB design., • Hands-on experience bringing up and debugging PCB assemblies in the lab., • Understanding of analog and digital electronics design., • Experience using PCB design tools such as Altium, KiCad, or similar., • Knowledge of high-speed PCB layout considerations including signal integrity and controlled impedance., • Experience with sensor interfaces, control electronics, or motor driver systems., • Exposure to power electronics and mixed-signal hardware design., • Experience preparing fabrication and assembly packs for manufacturing. Bonus Skills • Experience working with PCB manufacturers or assembly partners., • Exposure to production test, test fixture design, or DFT considerations., • Experience supporting component sourcing, substitutions or lifecycle management. Benefits: Bonus, 25 days Holiday, Pension, Cycle to Work Scheme. If this role sounds of interest, please apply and I can give you a call. Tim Stock 01182284223 | 07980610737 tstock@pg-rec.com https://www.linkedin.com/in/tim-stock-recruitment/

Job: Senior Python Quant Developer – Pricing & Analytics Location: London, UK Hybrid working – 2 to 3 days on-site (Canary Wharf) Full time Who We Are Looking For • 6+ years’ experience as a Quant Developer or Quant Engineer within an investment bank or similar financial institution, • Proven exposure to front-office pricing, risk, or analytics platforms (Rates, FX, Equities, Credit, or XVA), • Experience working closely with traders, quants, and risk teams in a production environment, • Strong academic background in Mathematics, Physics, Engineering, or Financial Engineering Your Technical Competencies • Advanced Python development (object-oriented design, performance optimisation, testing), • Hands-on experience with pricing models, risk analytics, or P&L systems, • Strong understanding of numerical methods, statistics, and financial mathematics, • Experience with SQL and data-intensive systems, • Familiarity with distributed systems, APIs, and cloud environments is a plus, • Exposure to C++ or other low-level languages is advantageous Your Ideal Behavioural Traits • Comfortable operating in a front-office, fast-paced environment, • Strong ownership mindset with the ability to deliver under pressure, • Clear and confident communicator with technical and non-technical stakeholders, • Collaborative and able to bridge the gap between quantitative and technology teams Your Ideal Personality Traits • Curious and analytical, with a passion for financial markets and quantitative problem-solving, • Detail-oriented while maintaining a pragmatic, delivery-focused approach, • Proactive, self-motivated, and comfortable working with minimal supervision, • Resilient and adaptable in a constantly evolving trading environment Your Responsibilities • Design, build, and maintain Python-based pricing and analytics libraries used by front-office teams, • Implement and optimise models supporting risk, valuation, and P&L analysis, • Ensure robustness, scalability, and performance of production systems, • Partner with traders, quants, and risk teams to deliver high-impact solutions, • Contribute to the evolution of quantitative platforms and best engineering practices Who We Are Our Expertise We provide high-impact consulting across five key domains: • Quantitative Finance — Model design, implementation and validation., • Risk & Regulatory — Risk frameworks and regulatory transformation., • Data & AI — Data optimisation and AI adoption with strong governance., • Digital & Technology — Cloud, engineering, automation and digital solutions., • Transformation — Change management and large-scale delivery programmes. Our Commitment Built on excellence, collaboration and innovation, Quanteam partners with clients to strengthen resilience, accelerate transformation and build future-ready capabilities.

£Up to £90,000 GBP Onsite WORKING Location: Guildford, Central London, Greater London - United Kingdom Type: Permanent Senior Hardware Design Engineer (RF & High-Speed Electronics) Our client is a specialist engineering organisation delivering advanced wireless and electronic hardware solutions for use in highly demanding, secure environments. As a Senior Hardware Design Engineer, you will take ownership of the design and development of complex RF and high-speed electronic hardware, working on products deployed globally in safety-critical and mission-critical settings. Based onsite in Guildford, this role offers the opportunity to see your designs progress through the full end-to-end engineering lifecycle, from concept and architecture through to deployment, within a secure engineering environment that prioritises technical excellence. You'll have the opportunity to: • Design and develop high-speed and RF electronic hardware for real-world deployment, • Own design decisions and lead hardware through full development lifecycle, • Work closely with systems, firmware, and mechanical engineers, • Contribute to the development of wireless and hardware solutions used in challenging environments, • Solve complex technical challenges requiring strong analytical and problem-solving skills, • See concepts translated into fully realised, deployable hardware products, • Work within a secure, technically focused onsite engineering environmentYour Responsibilities As a Senior Hardware Design Engineer, you will: • Design RF and high-speed digital PCBs, including schematic capture and component selection, • Own hardware architecture and design choices across assigned products, • Take designs through the full lifecycle including design, bring-up, test, and deployment, • Support system integration and validation activities, • Collaborate closely within multi-disciplinary engineering teams, • Ensure designs meet performance, reliability, and security requirements, • Operate effectively within export-controlled and security-sensitive environmentsKey Requirements As a Senior Hardware Design Engineer, you should have: • Strong experience in high-speed or RF PCB design and circuit design, • Proven experience taking hardware products through full end-to-end development, • Ability to work independently and take ownership of design decisions, • Experience working in complex or regulated engineering environments, • Willingness to work fully onsite to support secure development activities, • Eligibility for full, unrestricted UK Security ClearanceYou will gain exposure with: Working as a Senior Hardware Design Engineer, you will be involved in: • RF and wireless hardware product development, • Complex electronic systems deployed in challenging environments, • Full lifecycle engineering from concept to deploymentYou will work in an environment that combines:, • Deep technical engineering challenges, • Secure, mission-critical development, • Hands-on hardware ownership and deliveryWhy Join?, • Work on technically challenging RF and hardware designs with real-world impact, • Own and deliver complex hardware from concept to deployment, • Operate in a highly capable onsite engineering environment, • Competitive salary range £75,000 - £90,000 depending on experience, • Stable, long-term engineering programmes with clear technical ownershipInterested? Apply now.

Lead Machine Learning Engineer Location : London Days in office : 2 days onsite Contract length : 6 months Contract engagement: inside IR35 We are looking for a Lead Machine Learning Engineer (SageMaker, MLOps, Explainability) to design, build, and productionise machine learning models that power our new matching platform. You will work across the full ML lifecycle - feature engineering, model development, training pipelines, deployment automation, inference optimisation, monitoring, and explainability. In this role, you will make strong hands-on technical contributions, take ownership of key components of the ML platform, and collaborate closely with data scientists, platform engineering, and product teams. You will help improve our MLOps practices, enhance observability, and ensure that our ML systems meet standards for security, performance, and compliance. This role is suited to an experienced engineer who can deliver production-grade ML systems, influence design decisions, and maintain high technical standards, while still working primarily as an individual contributor. Feature Engineering • Build and maintain scalable feature pipelines within data lakehouse architectures., • Develop fallback feature flows (e.g., export paths)., • Implement robust data quality checks and contribute to the adoption of feature store patterns. Model Development & Scoring • Develop ranking, scoring, and entity-similarity models fit for the matching platform., • Implement calibrated confidence scores, thresholds, and model scoring logic., • Use modern ML Model frameworks such as PyTorch, TensorFlow, or XGBoost., • Collaborate with data scientists on model design and performance improvements. Explainability & Reason Codes • Apply SHAP or similar techniques to generate interpretable model explanations., • Produce reason codes suitable for business, operational, or regulatory consumption., • Ensure explainability outputs are versioned, tested, and integrated into inference workflows. ML Deployment & MLOps • Build and maintain training, processing, and inference pipelines using AWS SageMaker., • Integrate models with model registries and implement automated deployment patterns., • Support rollback and redeploy mechanisms for weight updates or model iterations., • Contribute to CI/CD improvements for ML-specific workflows. Inference Runtime & Cross-Account Serving • Deploy and optimise low-latency, real-time inference endpoints., • Implement secure AWS IAM patterns supporting cross-account inference access., • Build telemetry for request logging, performance tracking, and latency monitoring., • Solve runtime issues and optimise throughput and cost. Monitoring, Drift Detection & Telemetry • Implement feature drift and concept drift monitoring., • Build dashboards, alerts, and critical performance metrics to detect model degradation., • Develop telemetry and logging frameworks that respect data minimisation principles. Security, Compliance & ML Governance • Apply procedures for data handling, encryption, PII minimisation, and auditability., • Produce Model Cards, documentation, and lineage artefacts needed for governance., • Ensure that ML pipelines meet internal standards for reproducibility and traceability. Testing, Validation & Performance • Conduct validation of models using golden datasets, baseline tests, and regression testing., • Optimise models for latency-sensitive inference paths., • Support A/B tests, shadow deployments, and progressive rollout strategies. Essential • Strong experience delivering production ML systems end-to-end., • Proficiency with AWS SageMaker (training jobs, processing, endpoints, Model Registry)., • Excellent Python skills and experience with ML Models such as PyTorch, TensorFlow, or XGBoost., • Hands-on experience with model explainability tools such as SHAP., • Understanding of low-latency, real-time inference patterns and optimisation techniques., • Experience implementing drift detection, monitoring, and telemetry., • Working knowledge of ML governance, data privacy, and secure ML practices., • Strong understanding of MLOps, CI/CD, and automation for ML workflows. Nice to Have • Experience working with feature stores or Lakehouse data architectures., • Previous experience with ranking, matching, or similarity models., • Familiarity with cross-account AWS IAM patterns and multi-account design., • Bachelors in a STEM subject, e.g. mathematics, physics, engineering, computer science, or adjacent, • degrees.

Staff ASIC Design Engineer This is a rare opportunity to apply your silicon design expertise to truly cutting-edge technology. Innovation sits at the core of this organisation, which develops foundational IP for market-leading graphics processors used in next-generation mobile, smart, and connected devices. As a Staff GPU Hardware Design Engineer, you will play a pivotal role in the design, debug, and optimisation of complex hardware modules, delivering best-in-class performance, power efficiency, and reliability. The Role You will join a highly skilled engineering team working at the forefront of GPU development. In this role, you will take ownership of sophisticated hardware designs, contribute to architectural decisions, and help drive technical excellence across projects. What you’ll do • Collaborate with design, verification, and validation teams to deliver advanced silicon solutions., • Define and document detailed micro-architecture specifications and execution plans aligned with project objectives., • Analyse and optimise complex designs, balancing frequency, area, power, and performance trade-offs., • Participate in design reviews, providing clear, constructive, and technically sound feedback., • Maintain and improve the design environment, while tracking, debugging, and resolving design issues., • Plan, schedule, and deliver assigned work packages to agreed timelines., • Stay current with emerging tools, methodologies, and best practices in silicon design., • Mentor graduate engineers and early-career colleagues, supporting their technical development and professional growth. Experience You’ll have • Strong knowledge of digital IC design techniques and methodologies., • Hands-on experience with RTL design at IP or SoC level using SystemVerilog., • Proven ability to optimise designs across performance, power, and area constraints., • Experience with ASIC or FPGA design tools and environments., • Exposure to formal verification or proof methodologies to capture and validate design intent., • Knowledge of CPU, DSP, or FPU architectures, including debug and test strategies., • Proficiency in C, SystemC, C++, Python, Perl, or TCL., • Understanding of verification requirements derived from architectural and functional specifications., • Experience with GPU or CPU design methodologies, including UVM. On offer is a competitive base salary and bonus scheme.

Design Quality Engineer CY Partners are partnering with a growing and innovative diagnostics organisation to appoint a Design Quality Engineer into their Regulatory Affairs team. This is a key role supporting the development of IVD products, with a strong focus on Design History File (DHF) ownership, design controls and audit-ready documentation. It is a great opportunity for someone who enjoys combining technical quality expertise with cross-functional collaboration in a fast-paced, project-driven environment. The Opportunity You will take ownership of DHFs from project initiation through to completion, ensuring all design and development activities are planned, documented and compliant with regulatory standards. Working closely with the programme management function as well as the wider technical teams, you’ll play a central role in ensuring projects are delivered with robust traceability, strong documentation and right-first-time quality. Key Responsibilities • Own and manage the end-to-end DHF lifecycle for IVD projects, • Author and coordinate key documentation including design plans, inputs/outputs, verification & validation and design reviews, • Ensure full traceability across requirements, risks and testing activities, • Support and facilitate design reviews, ensuring clear documentation and action tracking, • Collaborate cross-functionally to ensure DHF deliverables align with project timelines, • Ensure compliance with ISO 13485, design control requirements and internal QMS processes, • Support audit readiness, including preparation of DHF evidence packs and participation in inspections, • Contribute to continuous improvement of SOPs, templates and quality processes About You • Degree qualified in a Life Sciences or related discipline, • Experience in Quality Engineering or Design Quality within medical devices or IVD, • Proven experience owning or contributing to Design History Files (DHF), • Strong understanding of design controls and ISO 13485, • Confident working with controlled documentation systems (eQMS/SharePoint), • Able to work cross-functionally and manage competing priorities in a fast-paced environment Desirable experience includes: Exposure to FDA 21 CFR 820 and/or IVDR/UKCA requirements Risk management (ISO 14971) and audit support experience This is a chance to join a business at an exciting stage of growth, where quality and regulatory excellence are central to product development. You’ll have real ownership, visibility across projects and the opportunity to contribute to impactful diagnostic programmes. For more information or a confidential discussion, please get in touch. CY Partners is acting as an Employment Agency in relation to this vacancy. Applicants must have the full right to work in the UK.

🚀 Member of Technical Staff (Software Engineer / Product Engineer) 🚀 AI Evaluation & Data Infrastructure Startup (Stealth Mode) 📍 London | Full-time, On-site 💸 Highly Competitive Package + up to 0.5% equity (level dependent) Omnis Partners is working with an early-stage, stealth AI infrastructure startup building a foundational layer of the AI ecosystem, the systems that define how frontier models are assessed, trusted, and continuously improved in production environments. Rather than building models themselves, the team focuses on the infrastructure that surrounds model performance: establishing evaluation frameworks, producing high-quality structured datasets, and enabling rigorous testing across mission-critical domains such as finance, healthcare, and legal services. At its core, the company is developing a “trust and evaluation layer” for AI, combining expert-led data creation, structured assessment environments, and tooling that makes model behaviour transparent, measurable, and continuously optimisable. ⚙️ The Role As a Member of Technical Staff, you’ll take ownership of the internal platform powering the company’s data generation and evaluation engine. You’ll design and build the systems that allow small teams of engineers and domain experts to produce high-quality structured datasets at scale, including workflow orchestration, annotation tooling, review pipelines, and data integrity systems. This is a deeply hands-on role with significant product ownership. You’ll work closely with founders and domain specialists to turn complex, often manual workflows into robust, scalable software products. Expect full-stack responsibility, architectural input, and meaningful influence over product direction from day one. 🧩 What You’ll Be Doing • Build and maintain the end-to-end platform for data creation and model evaluation workflows, • Design systems for task routing, expert allocation, review loops, and quality control, • Develop pipelines incorporating LLMs for assisted annotation and automated validation, • Convert real-world, manual processes into scalable internal software products, • Collaborate directly with founders and subject matter experts on product decisions, • Help define engineering standards, system architecture, and tooling as the company scales 🧠 What They’re Looking For This is a high-ownership environment where execution speed and product impact matter more than pedigree or job titles. They’re looking for engineers who: • Have independently delivered complex, production-grade systems, • Thrive in ambiguous environments without fully defined requirements, • Can operate across backend, frontend, and data infrastructure comfortably, • Actively use AI tools to accelerate engineering workflows, • Enjoy tight feedback loops with users and rapid iteration cycles 💡 Typical Backgrounds That Fit Well • Early-stage startup or founding engineering experience, • Product-driven full-stack engineers with strong systems design skills, • Platform or infrastructure engineering backgrounds, • Experience building internal tooling, workflow systems, or data platforms, • Exposure to LLM applications, evaluation systems, or AI tooling (strong advantage)