Computer systems engineer jobs in London - Page 2Create job alerts

AI Engineer Location: London (Onsite - 5 days per week) Type: Permanent Salary: £200,000 + generous equity package Interview Process: 2-4 stages I'm hiring for two YC-backed startups building foundational AI infrastructure - one focused on advancing reasoning capabilities, the other on streamlining how teams deploy and monitor models in production. What we're looking for: • Strong academic background in Computer Science, Mathematics, or related field, • Founding engineer mindset with ownership mentality, • Series A-C scale-up experience (ideally in fast-growth environments) Role 1: AI Engineer • Expert-level Python with exposure to frontend technologies (TypeScript/React preferred), • Hands-on experience with LLMs, prompt engineering, and evaluation frameworks, • Ability to ship AI-powered features end-to-end, • Minimum 3 years of experience Role 2: Applied AI Engineer • Strong backend engineering experience (Python preferred), • Deep knowledge of CI/CD, Docker, Kubernetes, and Git workflows, • Experience building RAG pipelines and AI agent orchestration systems, • Minimum 5 years of experience 📩 Interested? Message me here or email

GCP Data Engineer Job Summary: We are seeking a highly motivated and experienced GCP Data Engineer to join our growing team. The ideal candidate will be responsible for designing, developing, and maintaining scalable and robust data pipelines and architectures on Google Cloud Platform. You will work closely with data scientists, analysts, and other stakeholders to ensure data availability, quality, and usability, contributing to our data-driven initiatives. Required Qualifications: • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related quantitative field., • Proven experience (typically 5+ years) as a Data Engineer, with a strong focus on Google Cloud Platform., • In-depth knowledge and hands-on experience with core GCP data services such as:, • BigQuery: For data warehousing, querying, and analytics., • Cloud Dataflow: For batch and stream data processing., • Cloud Pub/Sub: For real-time messaging and event ingestion., • Cloud Storage: For scalable and durable object storage., • Cloud Composer (Apache Airflow): For workflow orchestration and pipeline management., • Cloud Dataproc: For managed Hadoop and Spark clusters (good to have)., • Cloud SQL/Cloud Spanner/Cloud Bigtable: Experience with relational and NoSQL databases., • Strong proficiency in SQL for data manipulation, querying, and optimization., • Expertise in at least one programming language commonly used in data engineering, preferably Python. Scala or Java is a plus., • Solid understanding of data warehousing concepts, data modeling techniques (dimensional modeling, Kimball, Inmon), and ETL/ELT processes., • Experience with version control systems (e.g., Git)., • Strong analytical, problem-solving, and debugging skills., • Excellent communication and collaboration skills, with the ability to work effectively in a team environment. Preferred Qualifications: • Google Cloud Professional Data Engineer certification., • Experience with data visualization tools (e.g., Looker, Tableau, Power BI)., • Familiarity with CI/CD pipelines for data engineering workflows., • Knowledge of data governance frameworks and tools., • Experience with real-time data processing and streaming architectures., • Basic understanding of machine learning concepts and how to operationalize ML models.

Job Title: Embedded Software Engineer Location: London, United Kingdom Company: Chevalier Tech Job Type: Full-Time, Permanent About Chevalier Tech Chevalier Tech is a cutting-edge technology company based in London, focused on developing advanced embedded systems and smart hardware products across the automotive, IoT, and industrial sectors. We combine deep technical expertise with a relentless drive for innovation to build solutions that power the future. We are seeking an experienced and passionate Embedded Software Engineer to join our dynamic engineering team and help design, develop, and optimise software for our next-generation hardware platforms. Key Responsibilities • Design and develop embedded software for microcontrollers and system-on-chips (SoCs) used in Chevalier Tech’s products., • Write clean, efficient, and well-documented C/C++ code for real-time and bare-metal systems., • Work closely with hardware engineers to bring up new boards and validate hardware functionality., • Integrate and debug device drivers, communication protocols (e.g., SPI, I2C, CAN, UART), and sensors., • Optimise system performance, including memory usage, boot times, and power consumption., • Contribute to system architecture design and participate in code reviews and testing., • Support production and manufacturing teams in system diagnostics and troubleshooting., • Document software design, test plans, and procedures. Essential Skills & Experience • Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, or a related discipline., • 1+ years of professional experience in embedded systems development., • C and C++ for embedded platforms., • Experience with ARM Cortex-M or Cortex-A architectures., • Familiarity with RTOS environments (e.g., FreeRTOS, Zephyr, ThreadX) and bare-metal systems., • Understanding of low-level debugging tools such as oscilloscopes, logic analyzers, and JTAG/SWD., • Experience with version control systems (e.g., Git)., • Working knowledge of hardware schematics and the ability to interpret datasheets. Desirable Skills • Familiarity with safety-critical systems (e.g., ISO 26262, IEC 61508)., • Knowledge of wireless communication stacks (e.g., Bluetooth, LoRa, Wi-Fi)., • Experience with Python for test automation or scripting., • Understanding of secure boot, firmware update mechanisms, and embedded cybersecurity. Why Join Chevalier Tech? • Work on real-world, high-impact products used across multiple industries., • Be part of a collaborative, multidisciplinary team that values innovation and technical excellence., • Access to the latest tools, lab equipment, and development hardware., • Flexible working hours., • Competitive salary., • Opportunities for professional development and career growth.

Data Platform Engineer Location: London (Hybrid – 3 days per week onsite) Contract Type: 6 month Rolling Contract – Inside IR35 (Day Rate) Rate: £700–£750 per day About the Role We are seeking a Senior Software Engineer / Data Platform Engineer to support the ongoing evolution of a large-scale financial data platform. You'll be working with the technology team, supporting a core platform modernisation initiative. Our environment combines long-established enterprise systems and legacy components with modern cloud-based services running on AWS. The platform processes high-volume structured financial data and underpins both internal systems and customer-facing products. A substantial portion of the platform is built on large SQL Server data estates, making strong SQL expertise non-negotiable. You will play a key role in modernising core systems, improving performance and reliability, and delivering scalable services for the next generation of our platform. This role is ideal for engineers who can work confidently across both legacy and modern architectures, and who have deep experience designing and building robust APIs and data services. Key Responsibilities • Develop and optimise SQL Server queries, stored procedures, and data processing logic to handle high-volume structured data, • Design and implement backend services using modern programming languages (Python or C#), • Support and enhance existing legacy platforms, identifying opportunities for iterative modernisation, • Improve query performance through indexing strategies, query optimisation, and data processing efficiency, • Enhance platform reliability through automation, monitoring, and operational improvements, • Build and maintain services deployed within AWS environments, including API Gateway and scalable service architectures, • Design, build, and maintain reliable APIs for internal systems and integrations, • Use AI-assisted development tools (e.g., GitHub Copilot and IDE-integrated AI assistants) as part of the engineering workflow, • Collaborate with engineers, architects, and product teams across distributed locations, • Contribute to engineering standards, best practices, and platform-wide improvements Essential Skills & Experience • Significant professional software engineering experience (typically 8+ years), • Strong SQL Server skills, including complex queries, stored procedures, indexing, and performance tuning, • Experience working with large relational datasets, • Solid backend development experience in Python or C#, • Experience working in AWS environments, • Experience with complex enterprise or legacy systems, • Strong analytical and problem-solving abilities, • Ability to operate autonomously with minimal onboarding in a fast-paced environment, • Excellent communication across technical and non-technical stakeholders Desirable Experience (not required but if you have 1 or more it helps) • Experience designing and building APIs, • Strong mathematical or quantitative background, • Experience modernising legacy systems, • Experience designing data processing pipelines or ETL solutions, • Experience using AI-assisted development tools such as GitHub Copilot, • Experience in financial services, market data, or capital markets environments, • Degree in Computer Science, Software Engineering, Electronics, Electrical Engineering, or equivalent experience, • Exposure to regulated industries or complex data governance frameworks To apply, click the link provided. or email for a faster response.

We are seeking an exceptional C++ Engineer to join one of the world's most advanced high-frequency trading firms. This is a rare opportunity to work at the intersection of cutting-edge technology and global financial markets, where performance is measured in nanoseconds and innovation drives competitive advantage. You'll be part of a team that designs and builds ultra-low latency trading systems deployed across global exchanges. Your work will directly impact trading performance, and you'll be empowered to push the boundaries of what's possible in software and hardware optimisation. Key Responsibilities • Architect and implement high-performance C++ systems with extreme latency sensitivity., • Optimise every layer of the stack - from CPU cache and memory allocation to kernel bypass and network I/O., • Collaborate with traders, quants, and infrastructure engineers to deliver robust, scalable, and lightning-fast trading solutions., • Profile, benchmark, and tune systems using advanced tooling and custom diagnostics., • Contribute to the design of proprietary protocols, lock-free data structures, and real-time analytics pipelines. Ideal Candidate • Expert-level proficiency in modern C++, with a deep understanding of low-level systems programming., • Strong grasp of computer architecture, concurrency, and performance engineering., • Experience with kernel bypass technologies (e.g., DPDK, Solarflare/OpenOnload) and high-performance networking., • Familiarity with Linux internals, NUMA, CPU affinity, and custom memory management., • Proven track record of building latency-critical systems in trading, gaming, or telecom environments., • Bonus: Experience with FPGA acceleration, RDMA, or custom NIC firmware. Why Apply? • Work with some of the fastest systems and smartest minds in the industry., • Direct impact on trading performance and strategy execution., • Access to bespoke infrastructure, bleeding-edge hardware, and proprietary tooling., • Culture of excellence: flat structure, minimal bureaucracy, and relentless focus on performance., • Compensation at the top end of the market, with significant upside tied to impact. Apply Now!

Trading Desk Operations Engineer - Summer 2026 start Our client is a top tier global proprietary trading firm that blends advanced technology, quantitative rigour and deep market expertise. It is a place where sharp thinkers thrive. You will work alongside highly capable, intellectually driven people who enjoy hard problems, value precision and are keen to share what they know. This environment suits graduates who have excelled academically and want to apply their intelligence in a fast, practical and technical setting. As a Trading Desk Operations Engineer you sit directly within the trading and research group. You support live trading, improve operational workflows and help turn ideas into reliable tools and systems. You will work closely with traders, researchers and engineers, gaining direct exposure to how strategies are built, tested and executed. Day to day you may validate trade flows, automate processes, troubleshoot issues under pressure, analyse unexpected system behaviour and build quick tools that improve speed and accuracy. You will need to think clearly, act decisively and enjoy solving complex technical problems in real time. This position is well suited to graduates with a strong foundation in mathematics, engineering or computer science and a genuine appetite for analytical work. You must have: • STEM degree from a top ranked university with exceptional academic results, • A level Maths at grade A or equivalent, • Excellent logical reasoning and problem solving ability, • Strong attention to detail and consistency, • Interest in programming with basic proficiency in at least one language (Python, C++, Go, Scala, Ruby, Lua, VBA or similar), • Curiosity about trading, technology and how complex systems behave under pressure This opportunity is ideal for someone who wants a front-row view of how modern trading actually works. You will learn quickly, work with outstanding people and develop a rare combination of technical, analytical and operational skills that will set you up for a high-impact career.

Company Description DevSecAI is the creator of Arko, a cutting-edge IDE-integrated security engine for AI-powered development with our own AI models. With a focus on embedding security into the build process, Arko helps modern teams building Apps, APIs, Agents and AI models to ensure secure development practices. By analysing architectural elements, data flows, and vulnerabilities, ARKO provides real-time security insights directly within the IDE. This solves the limitations of traditional static security tools by offering contextual threat models, prioritisation of risks, and actionable remediation guidance. Based in London, DevSecAI bridges the gap between development, security, and compliance in one seamless workflow. We are also preparing for Mythos roll-out when the model is available - allowing quick deployment for our customers. Role Description This is a full-time hybrid role based in London for a Software Engineer focused on IDE and SaaS platform development. You'll be contributing to the successful VS Code and Cursor extensions that are Arko's front door - real-time analysis pipelines that have to be fast enough to not break developer flow, and sharp enough that engineers actually trust what they see. Your opinions will shape the future architecture. Your code will be in front of enterprise engineering teams within weeks. Qualifications • Strong foundation in Computer Science, with an understanding of fundamental concepts and systems, • Proficiency in Back-End Web Development and Software Development tools and methodologies, • Solid experience with Programming languages and paradigms, including Object-Oriented Programming (OOP), • Knowledge of DevSecOps concepts, security best practices, and compliance frameworks is highly desirable, • Familiarity with CI/CD pipelines and their integration into development workflows, • Excellent problem-solving skills and the ability to work collaboratively in cross-functional teams, • Bachelor’s degree in Computer Science or a related field, or equivalent practical experience, • Experience in AI, APIs, Agents or security-focused projects is a plus, • Experience with Bedrock and model deployments and training., • Experience with AI/ML environments or IDE-integrated tools is a plus, • 8 Years Experience In Software Development

Senior C++ Developer/Software Engineer - London Based in the City of London (2 days in the office)/6 months rolling/£650 per day (Inside IR35) A global leading fintech solutions company and member of the Fortune 500, seek an experienced Senior C++ Developer/Software Engineer, to be responsible for preparing programming assignments, including the design, planning and supervision of the implementation of large-scale system projects. This will include: Reviews, analysing, and modifying programming systems including encoding, testing, debugging and installing for a large-scale Mainframe computer system. Essential Duties and Responsibilities for the Senior C++ Developer/Software Engineer: • Maintains project estimates and project management timelines for multiple major projects., • Verifies completeness and accuracy of specifications for multiple major projects to be estimated (eg, report changes, control file changes, file fixes)., • Determines programming requirements for multiple major projects (eg, product updates, conversions)., • Develops requirements for system enhancements., • Conducts research and documents findings and recommendations by using analytical problem solving., • Provides client support, training, testing and vendor relations., • Recent Financial based industry experience., • Maintains and develops on-line and batch application programs., • Codes programs that interface with multiple applications., • Trains new employees on all aspects of an application or system product., • Develops complex procedural language routines., • Provides applications development and support and utilizes troubleshooting and diagnostic tools., • Monitors, measures, and optimizes individual and combined utilisation of hardware, software, and telecommunications components., • Responsible for software Installation and maintenance - may act as project leader., • 7+ years of commercial software development experience using C++, • SQL experience., • Relevant degree in a numeric discipline, or equivalent work experience., • Unix/Linux experience., • Experience of financial markets and the trade life cycle beneficial. Based in the City of London/6 months rolling/£650 per day (Inside IR35)

Our client is at the forefront of digital transformation, supporting the world’s most essential organisations through their most complex digital challenges. By providing visibility and insight at an unparalleled scale they help clients solve problems faster, secure what matters, and drive continuous innovation across their digital ecosystems. We are now seeking a Sales Engineer to support the growth of UK public sector accounts. This is a remote, client-facing role for a highly technical and experienced presales professional with a strong Government/Public Sector background and current SC clearance. Key Requirements SC Clearance is essential alongside strong client facing/presales experience from start to finish with hands on networking and designing skills, capable of operating in complex and secure environments. Essential skills and experience: • 5+ years’ experience in IT, with at least 2 years in presales, network engineering, or technical support, • Demonstrable success supporting UK Government or public sector clients, • Ability to translate technical challenges into clear commercial value, • Confident at C-Suite Level and able to hold customer meetings onsite, • Strong expertise in:, • Cisco routing, switching, gateways, and applications, • TCP/IP, SNMP, Netflow, VoIP, • LAN/WAN topologies (MPLS, Frame Relay, ATM), • Security concepts and network infrastructure design, • Network performance and fault/alert management, • Solid understanding of:, • Operating systems – Linux, Windows, • Cloud and virtualisation technologies – SDN/NFV, Public/Private Cloud, • Performance tools – HP/OV, Tivoli, EMC SMARTS, ArcSight, • Relevant certifications – CCNA, CCNP, CCIE, • Formal presales training (e.g. Sandler, Siebel, Afterburner), • Exposure to packet analysis, troubleshooting., • Comfortable with 60-70% UK travel Desirable qualifications: • Degree in Computer Science, Software Engineering, or equivalent technical military training, • MBA or relevant business/leadership qualification, • Knowledge of products such as Arbor, Radwhere, Riverbed, A10, ExtraHop, • Experience authoring whitepapers, contributing to product strategy, • Familiarity with security audits, RFP/RFI responses, • Exposure to security analytics tools and techniques, such as log analysis, anomaly detection, or traffic monitoring, with an interest in developing stronger skills., • Understanding of full packet capture and analysis concepts, or hands-on experience with tools like Wireshark, Zeek, or similar platforms., • Awareness of cybersecurity frameworks and best practices (e.g., NIST, ISO 27001) and how they apply to network assurance. Role & Responsibilities As Sales Engineer, you will play a vital role in driving revenue by delivering technical presales support, demonstrating product value, and shaping best-fit solutions. Reporting to the Regional Sales Director, you will act as a trusted advisor for public sector clients and internal stakeholders. Responsibilities include: • Leading technical discovery and supporting the full sales cycle, • Differentiating solutions from competitors using compelling value stories, • Acting as a technical expert across integrators, service providers, and Government, • Partnering with product and engineering to influence roadmaps and relay market feedback, • Contributing to technical documentation, RFPs, and whitepapers, • Building strong customer relationships and identifying upsell opportunities, • Representing customer needs internally and advocating for technical alignment, • Participating in industry events, speaking engagements, and strategic initiatives, • Helping customers use the product to find / troubleshoot problems in PoC etc. Additional Details Remote Working: • Officially home-based, • Must be comfortable with regular travel for:, • Client meetings 3-4 days per week, • Annual conference, • Quarterly convention for Sales Engineers

Title: Software Engineer Client: Elite Buy-Side Fund Salary: Up to £140,000 + Bonus + Benefits Location: London (Hybrid) The Opportunity: Step into a high-performance role at the intersection of finance and technology. As a software engineer you will develop and optimise critical trading systems, build data-driven solutions and work with cutting-edge technology to drive decision making at scale. Your Responsibilities (Full Spec. Available): • Develop and optimise high-frequency trading systems, • Write efficient code to minimise latency, maximise throughput and ensure seamless operation under high-pressure conditions, • Driving innovation by exploring new technologies, machine learning and cutting edge tools to advance competitive edge Who You Are: • Strong proficiency in any OO language (they are agnostic) - (low-latency or systems-level experience preferred), • Deep understanding of data structures, algorithms, and computer architecture, • Proven ability to tackle complex challenges with initiative and agility in high-pressure environments Apply now or reach out directly: for more details

Machine Learning Engineer | Python | PyTorch | OCR | Natural Language Processing | LLM | Large Language Models | Hybrid, London About Us Our mission is to improve the delivery and efficiency of healthcare. We are building a platform to model and manage the flow of information within healthcare organisations, improving outcomes for patients, payers, and providers. We believe data handling in current healthcare systems is often complex and disconnected, leading to isolated and inefficient decision-making. To demonstrate how this technology can advance healthcare delivery and improve lives, we build and deploy products for healthcare providers and payers in the UK and US markets. We are an energetic health-tech startup of around forty employees. Our team is growing as we explore new markets and opportunities. We are passionate about applying technology to meaningful challenges. New joiners will have a significant impact on the direction of the company as well as our culture. Our Products AI Platform Our products are built on a Semantic AI platform that enables payers and providers to access advanced AI capabilities for their own use cases and applications. Partners can use the platform APIs directly or collaborate with us to develop tailored applications. Primary Care Operations We develop a suite of products supporting healthcare operations, including an AI tool that helps practices reduce administrative burden in processing clinical correspondence. The system reduces staff time spent identifying codes for medical records and suggests follow-up tasks and workflow optimisations. It helps providers save time and cost, improve audit performance, and strengthen staffing resilience. The Role We are seeking an Machine Learning Engineer to join our Applied AI team and work on the clinical document understanding pipeline that underpins our operational AI products. This is a hands-on engineering role focused on building, improving, and maintaining production NLP systems. You will work on OCR-aware document processing, entity extraction and linking, and the safe integration of LLM components within a constrained, regulated architecture. The role is offered on a hybrid basis from our London office. Core Responsibilities • Design, build, and maintain NLP pipelines for clinical document processing using Python., • Develop and extend pipeline components, including training configurations, packaging, and versioning. Refactor and improve components for maintainability, scalability, and clarity., • Train, evaluate, and deploy NLP and OCR models for clinical concepts. Maintain evaluation datasets and implement regression testing for model and pipeline updates., • Improve document structure detection, sectioning, and layout-aware extraction, particularly for scanned documents., • Enhance handling of negation, temporality, and related concepts in clinical text., • Analyse production errors and implement targeted improvements to reduce recurring extraction and coding issues., • Integrate LLM-based components into the pipeline using structured inputs and validated outputs, including schema validation, rule-based checks, and other guardrails., • Optimise pipeline performance, including latency, throughput, and cost per document., • Collaborate with Engineering to support production deployment and monitoring of NLP components. Minimum requirement: A bachelor’s degree in computer science, computational linguistics, or equivalent educational attainment. Requirements Experience & Technical Background • Strong professional experience in applied NLP and machine learning engineering., • Advanced Python skills, including experience building and maintaining production ML systems., • Hands-on experience with common NLP frameworks., • Experience training and evaluating NER and/or entity linking models., • Experience working with noisy or unstructured text data, such as OCR-derived documents., • Familiarity with combining rule-based and statistical approaches in production systems., • Experience designing and implementing evaluation metrics, benchmarks, and regression testing for NLP systems. Desirable Experience • Experience working with healthcare or clinical text., • Familiarity with clinical terminologies (e.g., SNOMED CT)., • Experience integrating LLMs into structured application pipelines., • Experience working in regulated or high-assurance environments., • Exposure to hybrid symbolic and generative AI architectures. Personal Attributes • Detail-oriented with a strong focus on accuracy and reliability., • Pragmatic approach to problem-solving, selecting appropriate techniques for the task., • Comfortable working in a fast-paced startup environment., • Strong communication skills and ability to work effectively within a multidisciplinary team. Hiring Process • Introductory screening interview (30 minutes), • Technical deep-dive interview with Applied AI and Engineering leadership, • Final interview and offer Benefits • Competitive salary, • Company pension, • 25 days of paid annual leave (pro-rata), • Flexible hybrid working environment, • Employee Assistance Programme, • Modern office in central London with complimentary refreshments Machine Learning Engineer | Python | PyTorch | OCR | Natural Language Processing | LLM | Large Language Models | Hybrid, London

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 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 Recruitment Privacy Policy or contact .

This is an opportunity to work at the heart of a world‑class investment platform where risk, technology, and quantitative thinking intersect in real time. You’ll be building and owning systems that directly support portfolio managers and senior risk leaders, in an environment that values engineering excellence, speed, and thoughtful design. If you enjoy solving complex problems, working close to the business, and seeing your work used every day in high‑stakes decision‑making, this role offers both intellectual challenge and real impact. What You’ll Be Doing • Design and build low‑latency, high‑performance systems used in live trading environments, • Architect scalable solutions that support complex risk calculations across asset classes, • Work closely with risk managers, quants, and technologists to translate real‑world problems into elegant technical solutions, • Own production systems end‑to‑end, including contributing to robust end‑of‑day processes, • Drive engineering best practices to improve reliability, performance, and scalability What We’re Looking For • 8–10+ years’ experience as a software engineer in a fast‑paced, production environment, • Strong Computer Science fundamentals (data structures, algorithms, system design), • Commercial experience with Java, modern microservices, and the Spring ecosystem, • Solid SQL skills and experience working with large datasets, • A strong analytical mindset and a genuine interest in solving hard problems, • Comfortable working with ownership, autonomy, and responsibility, • Master’s degree or strong academic background, • Experience with multi‑threaded and distributed systems, • Cloud and modern infrastructure exposure (AWS, Kubernetes, Redis), • Messaging systems, service‑oriented architecture, or event‑driven design, • CI/CD pipelines, testing frameworks, and production monitoring tools, • Strong Linux experience and exposure to NoSQL technologies What’s on Offer • Work on mission‑critical systems, • High levels of ownership and visibility, • A technically strong, intellectually curious team, • Competitive compensation and strong long‑term growth potential

Senior Software Engineer (Full-Stack) 📍 Location: City-based (Hybrid/On-site options available) Role Summary We are seeking a highly experienced Senior Software Engineer to drive innovation and technical excellence across the full software development lifecycle. You’ll work across a modern tech stack, leveraging your expertise in full-stack development, cloud platforms, and distributed systems. Beyond hands-on development, you will play a critical role in guiding best practices, influencing technical decisions, and fostering a culture of continuous improvement. Key Responsibilities • Lead the design, development, and delivery of scalable full-stack applications, • Architect robust, maintainable solutions using modern design patterns and best practices, • Collaborate cross-functionally with product owners, designers, and engineers to deliver high-impact features, • Facilitate and contribute to Agile ceremonies (sprint planning, stand-ups, reviews, retrospectives), • Mentor and coach engineers, promoting high standards of code quality and craftsmanship, • Drive technical decision-making, ensuring scalability, reliability, and performance, • Design and implement RESTful APIs and microservices architectures, • Oversee and improve CI/CD pipelines, automation, and deployment strategies, • Define and champion testing strategies, including unit and integration testing, • Troubleshoot complex technical issues and optimise system performance, • Maintain strong version control practices, including code reviews and branching strategies, • Contribute to technical documentation and knowledge sharing across the team, • Promote a culture of continuous learning, innovation, and engineering excellence Required Experience & Skills • Strong experience building full-stack web applications using TypeScript/React and C#/.NET (or similar technologies), • Deep understanding of software engineering principles, including modular architecture and design patterns, • Proven experience designing and developing RESTful APIs and microservices, • Experience architecting end-to-end systems across frontend, backend, and data layers, • Strong knowledge of distributed systems and complex integrations, • Hands-on experience with cloud platforms (Azure preferred, AWS or GCP acceptable), • Familiarity with Docker, Kubernetes, and modern deployment patterns, • Experience with CI/CD pipelines, automated testing, and Infrastructure as Code (e.g., Terraform), • Solid understanding of database design (relational and NoSQL), • Experience working in Agile environments and contributing to engineering best practices, • Exposure to AI-assisted development tools is a plus, • Degree in Computer Science, Software Engineering, or equivalent experience

Investment Data Engineer London Hybrid We’re looking for a highly skilled Investment Data Engineer to help build and scale a private credit data and analytics platform. This is a rare opportunity to shape data infrastructure, analytics, and machine learning capabilities from the ground up—directly influencing investment decisions within a fast-growing private markets environment. About the Role You will take ownership of the private credit data ecosystem end-to-end—designing robust backend infrastructure, building intuitive user-facing tools, and delivering advanced analytics that power deal sourcing and portfolio monitoring. This is a hands-on engineering role with significant autonomy and visibility across the business. What You’ll Be Doing • Architect and build scalable data platforms using SQL Server and Azure, • Develop end-to-end data pipelines and front-end applications for business users, • Design and deploy machine learning models for text analysis, deal sourcing, and portfolio monitoring, • Expand and optimise data access across a growing portfolio of private credit deals, • Establish data governance frameworks and improve data quality processes, • Enable self-serve MI through tooling, training, and knowledge sharing, • Partner with internal teams and external vendors to deliver critical data solutions About the Platform • Backed by institutional capital with a growing European investment footprint, • Focused on private credit and direct lending strategies, • A developing Data & Analytics function evolving into a centre of excellence for data engineering and machine learning What We’re Looking For • Degree in Computer Science, Data Science, Software Engineering, or similar, • Strong programming skills in Python, SQL, and C#/.NET or JavaScript, • Experience building production-grade data platforms in Azure (Data Lake, Databricks), • Proven experience delivering ML models in production data pipelines, • Exposure to data governance and data quality frameworks, • Ability to work independently, drive projects, and operate in an evolving environment Desirable: • Experience with Alteryx, Microsoft Fabric, and Power BI, • Knowledge of Private Credit, Leveraged Finance, or Asset Management, • Familiarity with DealCloud Why Apply? • Opportunity to build systems that directly influence investment decisions, • Work at the intersection of data engineering, machine learning, and finance, • Join a lean, high-impact team with strong growth ambitions, • Play a key role in shaping the future of data within the organisation

Senior C# Engineer City of London (On-site) Permanent | £90,000 – £120,000 We’re partnered with an innovative proprietary trading firm in the City of London that is hiring a Senior C# Software Engineer. You’ll work on greenfield projects, cutting-edge technology, and play a key part in shaping systems that directly influence trading performance. Key Benefits • Competitive salary with a strong benefits package, • Work on greenfield projects where your ideas genuinely shape the outcome, • Exposure to the latest .NET technologies in a high-performance trading environment, • Clear opportunities for career growth and progression, • Collaborative, non-corporate culture where innovation and creativity are encouraged, • Great work-life balance supported by wellness perks, healthcare, and team socials Key Requirements • Strong background in C# and the .NET platform (working with the latest versions), • Database knowledge (SQL Server, Oracle, or equivalent), • Degree in Computer Science or related subject, • Fluent in English with excellent communication skills, • Detail-oriented, with a drive to deliver high-quality solutions Key Responsibilities • Develop and maintain high-performance trading applications in a C#/.NET/SQL Server environment, • Take ownership of new, greenfield projects, influencing design and implementation from the start, • Collaborate with a talented team of engineers and researchers in a supportive environment, • Continuously innovate and improve tools, processes, and systems, • Deliver solutions that directly contribute to trading success and business growth To apply, please use the link provided or reach out directly to arrange a confidential conversation:

Enterprise Software Engineer – London (Hedge Fund Environment) I’m partnering with a leading global investment firm to find a talented Enterprise Software Engineer to join their growing technology team in London. This team builds and supports critical systems used across Operations, Middle Office, Treasury, Fund Accounting, Investor Relations, and Compliance—offering broad exposure across the business and direct impact on decision-making. What you’ll be doing: • Building proprietary, high-performance software that supports investment strategies, • Designing and delivering scalable, reliable enterprise systems, • Working closely with operations and middle office teams to solve complex business problems, • Owning the full development lifecycle—from problem definition through to delivery, • Collaborating with a high-calibre global engineering team What we’re looking for: • Strong experience building production-grade software (Python and/or Java), • Solid SQL/database knowledge, • Excellent problem-solving and analytical skills, • Collaborative mindset with strong communication skills, • Degree in Computer Science or a related field Nice to have: • Experience with React or modern frontend frameworks, • Exposure to C# systems or stored procedures, • Familiarity with Linux environments, • Interest in automation and process optimisation, • Experience using AI-assisted coding tools (e.g. Copilot)

Job Title: Synthetic Data Engineer (Blender & XR) Company: Lumirithmic Location: London, UK (Hybrid) Company Description Lumirithmic, an Imperial College London spin-out, is redefining synthetic data for the next generation of immersive technologies. By combining advanced 3D computer graphics with AI, we create high-fidelity, large-scale datasets that power cutting-edge perception systems. Led by experts in computer graphics and machine learning, we’re building the infrastructure behind next-gen XR experiences,enabling robust hand tracking, eye tracking, and scene understanding for advanced XR platforms. Our mission is to bridge the gap between virtual data generation and real-world AI performance at scale. Role Description We are looking for a Synthetic Data Engineer (Blender & XR) to drive the creation and delivery of high-quality synthetic datasets. In this role, you will work with our in-house, Blender-based platform to design, build, and execute scalable data pipelines tailored to partner needs. You’ll combine existing modules, develop new pipeline capabilities, and collaborate closely with stakeholders to ensure datasets are accurate, efficient, visually high quality, and aligned with real-world use cases. This role sits at the intersection of synthetic data operations, Blender pipeline development, rendering workflows, and software engineering. Strong Blender experience is a mandatory requirement for this role. Candidates must have hands-on experience with Blender and the Blender Python API (bpy) in production or pipeline environments. Key Responsibilities Pipeline Execution & Delivery • Build, render, and deliver large-scale synthetic datasets (1M+ frames) reliably for partners across XR and AI teams., • Operate and optimize scalable rendering and visual data generation workflows., • Ensure delivery quality, consistency, and operational reliability across datasets and pipeline runs.Stakeholder Collaboration, • Work directly with partners to understand requirements, iterate on feedback, and ensure high-quality outputs., • Translate partner needs into scalable synthetic data generation workflows and rendering solutions., • Communicate progress, technical tradeoffs, and operational constraints clearly.Platform Development & Maintenance, • Develop new modular components, fix bugs, and maintain the synthetic data platform for performance and reliability., • Build and improve Blender-based automation tooling and pipeline infrastructure., • Support operational scalability and continuous improvements across rendering and dataset workflows.Required Skills & Experience, • Strong professional experience with Blender is required, • Strong expertise with the Blender Python API (bpy), • Solid software engineering fundamentals with experience writing clean, maintainable, and testable code, • Strong Python programming skills, • Experience building or maintaining Blender-based automation, rendering, or pipeline tooling, • Good understanding of human-centric computer graphics, including:, • modelling, • materials, • lighting, • animation, • rendering workflows, • Strong communication and stakeholder management skills, • Experience with rendering at scale (e.g. render farms), • Knowledge of computer vision, particularly real-time systems, • Experience with machine learning frameworks (e.g. PyTorch, JAX), • Familiarity with the Blender C++ codebase, • Experience with AI-assisted coding or agent-based workflows, • Strong visual judgment and attention to detail for high-quality renders, • Experience in synthetic data generation, VFX, games, XR, simulation, or technical art workflow

Manufacturing Systems & Automation Engineer London (Liverpool Street) | Hybrid (3 days onsite) | £60,000–£70,000 + benefits A globally recognised FTSE-listed technology group is driving an ambitious digital transformation across its portfolio of advanced engineering and manufacturing businesses. Their products play a critical role in improving safety, environmental sustainability, and healthcare outcomes worldwide. As part of a central digital function, this role offers a unique opportunity to operate as an internal consultant, working across multiple operating companies to design and deliver cutting-edge Industry 4.0 solutions. This is not a traditional plant-based role. You’ll be shaping how modern manufacturing environments evolve, bringing together data, AI, robotics, and automation to drive measurable improvements in efficiency, quality, and uptime. What you’ll be doing • Leading pilots and projects in AI-assisted visual inspection, predictive maintenance, robotics, and automation., • Identifying opportunities to improve efficiency, quality, and performance at cell, line, or departmental level., • Designing and delivering data-driven solutions across MES, SCADA, IIoT, and digital manufacturing technologies., • Working alongside operational and engineering teams to translate real-world problems into actionable technical solutions., • Creating scalable frameworks and reference architectures for repeatable adoption across multiple sites., • Supporting the implementation and adoption of modern manufacturing technologies across global operating companies. What they’re looking for • 4–6 years’ experience in digital manufacturing, automation, or Industry 4.0 environments., • Exposure to PLCs, MES, SCADA, IIoT, robotics, AI, or computer vision in a manufacturing context., • Strong understanding of production processes, quality control, and visual inspection., • Ability to bridge engineering and digital/technical solutions., • Comfortable working across multiple sites and stakeholders., • Proactive, solutions-focused mindset with hands-on problem solving and innovation. Nice to have • Experience implementing predictive maintenance or monitoring legacy equipment., • Familiarity with data analytics dashboards and visualization tools. Why this role stands out • Operate across a portfolio of highly innovative engineering businesses rather than a single site., • Hands-on application of emerging tech to solve real operational challenges., • Real ownership: lead pilots, shape solutions, and influence global manufacturing strategy., • Exposure to a wide range of technologies and manufacturing environments., • Strong long-term career trajectory into senior digital or operational leadership roles., • Stability of a global FTSE-listed group, combined with the agility of smaller businesses. For further information: call 02895213213 or simply apply! Reference: AMC/RKI

Lead Full Stack Engineer A Boutique Systematic Trading Firm is looking for Software Engineers to join and lead a brand-new greenfield program of work in developing bespoke applications end to end within the firms core greenfield engineering team. This role focuses on greenfield engineering within the front-office environment, developing performant, production-grade systems in close partnership with Quant Traders and Researchers. Your work will shape the foundational tooling that underpins trading performance. Everything is completely greenfield using cutting-edge technology and requires someone who is going to be involved with the technical strategy as well, from inception to production. The firm trade everything via a single in-house trading platform and are one of the few hedge funds that put technology at the fore front of the business, investing heavily into modernizing their systems and building out new applications and features. Required: • 8+ years React, TypeScript, Angular or JavaScript development experience., • Experience with leading a team whilst being involved in hands-on development., • Strong Computer Science, Engineering (or a related subject) background from a top university., • Experience with working on the lifecycle of full-stack applications., • Proficiency with Python., • Able to work in a modern software engineering environment, using Agile and DevOps methodologies and tools including Scrum, git and CI/CD. Benefits: • Market leading Compensation and Benefit packages., • The opportunity to work for a top Systematic Trading firm in an incredibly collaborative culture.

Founding AI Engineer | Early Stage AI Start-Up | London Founding AI Engineer required to join an extremely well funded, rapidly growing early-stage AI start-up with a world class founding team using AI to solve a real world problem. You’ll be one of the first technical hires, working directly with the founders to design, build, and deploy LLM-powered systems that meaningfully shape the product and the company. You are: • 2-6 years of professional experience, with strong software engineering fundamentals, • Proven hands-on experience building AI systems from scratch and deploying LLMs in production, • Proficiency in Python, • Academic Excellence: BSc, MSc or PhD in Computer Science, AI, Machine Learning, or related stem field from a top university, • Comfortable in chaos and thrive in fast paced environments Bonus points: • Experience as an early employee at a start-up, • Experience working closely with product or founders Why join? • Extremely competitive salary, meaningful equity, and benefits, • A genuine founding role with significant technical and product ownership, • Close collaboration with experienced, second-time founders who deeply understand the problem space, • Strong financial backing from top-tier investors, • The chance to help shape both the technology and culture from the ground up Looking to join early, play a key role, and build AI systems that solve real-world problems? Let’s chat. Founding AI Engineer | Early Stage AI Start-Up | London

If you're looking to join a company with a dynamic vision for the future, set your sights on a challenging career with Nikon Metrology. We develop a wide range of measurement systems for dimensional quality control deployed worldwide in automotive, aerospace, and other manufacturing industries. We are looking for an experienced and enthusiastic Field Service Engineer X-Ray based in the south of London. You will be working in the field. What is your role? A Field Service Engineer will be responsible for the troubleshoots, calibrations, services, installations and repairs of all Nikon Metrology systems at customer sites. The Field Service Engineer maintains documentation for each job carried out and ensuring the documentation is returned to the Service manager or coordinator, completed once the job is complete. They will have to provide assistance to the Technical staff and support to dealers. What are your key areas of responsibility? • Responsible for meeting daily service repair needs and driving customer satisfaction, • Installs, calibrate, repairs and maintains equipment in the field;, • Be a technical expert on his product domain, follow trainings, and provide trainings, • Documents all inspections, maintenance, repair work and submits paperwork in a timely basis, • Ensuring parts and consumables are available for jobs and return of parts if required making sure that serial numbers are logged of parts replaced., • Participates in service sales opportunities and assists with promoting and implementing revenue programs., • Ensures that tools and test equipment are properly maintained and calibrated, • Provide technical support to service customers., • Establishes and maintains a close relationship with departments in order to support the needs of the customer and remain aware of current technical trends., • Comply with and ensure department compliance with Company health, safety and environmental policies., • Identify product and process improvements., • Train junior colleagues, write service manuals and/or procedures to assist in this process, • Other duties as required., • Travel from Monday to Friday across the country What are your ancillary responsibilities? The service engineer needs to work on his own; he needs to solve the customer cases, and can ask advice. As the service engineer is most of the times alone at customers site, the service engineer needs to communicate well with the back office. The service engineer has to have a high level of problem solving skills, thinking out of the box What are your required qualifications and competencies? ESSENTIAL • Master or Bachelor degree in Engineering ( electronics, electro-mechanics) or equivalent through experience working on technical products, • Excellent knowledge of English, any other language is an asset, • Experience with technical products, • Excellent IT skills for working with Windows, Word, excel and outlook, • Computer literacy, competency in use of all programs within MS Office Suite, • Technical background : electricity, mechanics, electronics, pneumatics, • Electrical drawing ability and good technological watch level. DESIRABLE • Field service experience/ Customer oriented, • Customer service skills. Why Nikon Metrology? At Nikon Metrology, our success is achieved by our employees. Clearly defined common goals, objectives, and priorities, create a foundation to work with pride and confidence. Our employees highly value the supportive and collaborative working environment and we share our passion for technology and innovation. Interested? Do you see yourself as our new Field Service Engineer X-Ray? Please send your CV and letter of motivation to . We look forward to your application!

Field Operations Engineer (6 Month FTC) London Are you a hands-on IT professional who thrives in dynamic, fast-paced environments? We’re looking for a Field Operations Engineer to join our team and play a key role in delivering reliable, high-quality technical infrastructure across our sites. About the Role As a Field Operations Engineer, you’ll be responsible for executing technical deployments, maintaining IT infrastructure, and providing on-site support for end-user systems. You’ll collaborate with cross-functional teams to ensure seamless operations across visa application centres and other locations. This role involves both technical expertise and field-based work, including travel where required. What You’ll Be Doing Technical Deployment • Deliver on-site IT setups and support activities, • Perform racking, cabling, and installation of servers, switches, and equipment, • Work closely with network engineers on configuration and deployment, • Supervise contractors and ensure quality delivery, • Travel locally and internationally as needed Maintenance & Support • Maintain OS installations, applications, and security updates, • Monitor infrastructure (cooling systems, UPS, PDUs) to prevent downtime, • Troubleshoot and optimise IT systems and equipment, • Support printers, scanners, biometric devices, and kiosks Surveillance & Endpoint Management • Manage surveillance systems (e.g., QVR Pro, access control), • Oversee user accounts, devices, and compliance, • Ensure endpoints are secure and regularly updated Procurement & Asset Management • Coordinate procurement of IT equipment, • Maintain accurate asset inventory and records, • Collaborate with procurement teams for cost-effective sourcing Additional Responsibilities • Work with vendors for maintenance and service contracts, • Support audits and resolve findings, • Escalate incidents and ensure timely resolution What We’re Looking For • Bachelor’s degree in Computer Science or equivalent, • 2+ years’ experience in IT systems engineering, • Hands-on experience with deployments, cabling, and hardware setup, • Strong knowledge of:, • Routers & switches, • Virtualisation (e.g., VMware), • Microsoft Active Directory, • Familiarity with: Linux (RHEL/Debian), Windows Servers, PowerShell, Bash, MacOS, • Strong problem-solving and analytical skills, • Excellent communication and teamwork abilities, • Comfortable working in international, multicultural environments, • English proficiency (B2 level or above) Why Join Us? • Work on impactful international projects, • Be part of a collaborative and multicultural team, • Gain exposure to diverse technologies and environments, • Opportunities for travel and professional growth Interested? Apply now or reach out directly to learn more about this opportunity! At TLScontact, we are proud to foster an inclusive work environment where diversity is celebrated and valued. We are committed to equal employment opportunities and pay parity, regardless of factors like race, religion, gender, or disability. Please note that all successful applicants will be required to undergo an enhanced level Criminal Record disclosure. Please note TLScontact is unable to sponsor those without permission to work in the UK, therefore any applicant must already have permission to work in the UK. Under The Immigration, Asylum and Nationality Act 2006, you must have the right to work in the United Kingdom to be considered for this role. Please find below our Privacy Notice for Recruits:

🚀 AI Engineer – Agentic Systems / Applied AI 🚀 ✨ Backed Series A FinTech | Proven, repeat founders ✨ 📍 London, in office full time 💸 £100k – £200k base (level dependent) 💲 ~$160k equity vested over 4 years 💗 Extras: onsite chef, barber, breakfast, gym membership I’m partnering with a high-growth, AI-native fintech that has recently closed a significant Series A and is now building out a top-tier AI engineering function. They’re focused on developing production-ready agentic AI systems for the investment and financial services markets, designed to handle complex, high-impact workflows for enterprise customers. You’ll be working closely with founders and a small, high-calibre engineering team. This is the kind of environment where: 🔥 Ownership comes early ⚡ Decisions happen quickly 🧠 Strong engineers thrive What you’ll be doing: You’ll take responsibility for key parts of the AI stack, including: • Architecting and deploying multi-agent systems, • Building scalable RAG pipelines and retrieval systems, • Creating evaluation frameworks (performance, safety, reliability), • Shipping AI-driven products used in real-world enterprise settings, • Alongside this, you’ll stay close to the engineering fundamentals — Python backend (FastAPI/Django), infrastructure, and production deployment. Why people join environments like this: ✅ High talent bar across the team ✅ Direct access to founders and decision-makers ✅ Pace and exposure that accelerates your trajectory (12 months here won’t feel like a typical year) Background requred: – Degree in a relevant discipline (Maths, Engineering, Computer Science, etc.) – ~4+ years in AI/ML engineering, or strong software engineering with AI exposure – Experience taking LLM or agent-based systems into production – Strong understanding of system design: orchestration, memory, deployment, monitoring – Exposure to tools such as LangGraph, ReAct, CoT — or building similar systems from scratch – Familiar with PyTorch / TensorFlow, RAG architectures, vector databases, modern cloud infra – Experience in startup or consulting environments is a plus – Comfortable working autonomously in fast-moving, sometimes ambiguous settings With fresh funding and ambitious growth plans, this is a genuine scaling moment — and a chance to step into something high-impact early. #AgenticAI #AIEngineering #AIJobs

Semantic Architect | Knowledge Graphs | Natural Language Processing | LLM | Ontologies | London, Hybrid Mission We are a growing health-technology company building AI systems that improve how information flows within healthcare organisations. Our platform combines natural language processing, knowledge graphs, and generative AI to help healthcare providers and payers reduce administrative workload, improve decision-making, and deliver better outcomes. We are now hiring a Semantic Architect to lead the design and implementation of our graph-integrated generative AI architecture. This is a senior, hands-on technical leadership role focused on building production-grade AI systems that combine LLMs, NLP pipelines, and structured knowledge. The Role You will design and own the architecture that connects: • NLP pipelines processing clinical text, • Knowledge graphs and ontologies, • LLM reasoning and orchestration layers, • Evaluation and benchmarking systems, • Your goal is to ensure these components work together as a coherent, reliable, and explainable AI platform suitable for regulated healthcare environments., • You’ll also help scale the Applied AI function by setting technical standards and coordinating complex AI development across engineering teams. Key Responsibilities Architecture & Technical Leadership • Design end-to-end AI architectures integrating NLP, LLM orchestration, and knowledge graphs, • Define how structured semantics guide and validate generative outputs, • Set technical design standards for Applied AI systems, • Ensure AI features are robust, production-ready, and aligned with product goals Applied AI Delivery • Break product requirements into clear technical implementation plans, • Coordinate work across NLP, graph engineering, and product teams, • Design evaluation frameworks for:, • hallucination detection, • clinical concept extraction accuracy, • model regression testing, • Implement structured outputs and schema-constrained generation, • Build AI workflows with traceability and auditability by default, • Ensure systems align with healthcare regulatory requirements across UK and US contexts Requirements Core Experience • MSc in Computer Science, AI, or related field (or equivalent experience), • 3+ years building production AI systems involving structured knowledge, • Strong experience integrating LLMs with knowledge graphs or structured data, • Experience building NLP pipelines and semantic reasoning systems Technical Skills • Python for NLP pipelines, orchestration, and evaluation tooling, • Experience with LLM engineering and prompt design using structured outputs, • Familiarity with schema-constrained generation (JSON / ontology-driven outputs), • Experience designing evaluation frameworks for production LLM systems Knowledge Graphs • Experience designing AI systems grounded or validated by graph structures, • Ability to collaborate with knowledge engineers on ontology design, • Understanding of graph performance and scaling considerations Nice to Have • Experience in regulated environments (healthcare, fintech, gov, etc.), • Experience integrating AI systems into production services, • Interest in building reliable AI systems in high-impact domains What We’re Looking For • Systems thinker who values clarity and architectural coherence, • Pragmatic engineer focused on production impact, • Comfortable taking ownership of complex technical systems, • Strong communicator who shares and documents architectural knowledge Hiring Process • Introductory screening interview (30 mins), • Technical deep-dive interview with AI and engineering leadership, • Final interview and offer Benefits • Competitive salary, • Company pension, • 25 days annual leave, • Flexible hybrid working, • Employee Assistance Programme, • Central London office Semantic Architect | Knowledge Graphs | Natural Language Processing | LLM | Ontologies | London, Hybrid

An exciting opportunity has become available to be part of our fast-growing team and to be a key part of the Technology & Innovation function. This role provides an outstanding opportunity to join a growing global integrated marketing advisory and will provide an ambitious individual with valuable experience for progression and development. The Company mediasense is a global, independent advisor that brings the clarity, connection and confidence modern marketers need to fuel growth. We help marketers eliminate waste and maximize the impact of their most significant investments at scale. Our ambition is to define and own an entirely new category – recognized as the world’s most trusted, independent and impactful marketing advisor. We do this by elevating how clients operate, how agencies deliver, how platforms perform and how all parts of the ecosystem connect. Because progress doesn’t happen in isolation, it takes alignment, intelligence and trust. That’s what we enable. That’s what we stand for. That’s Unified Marketing Intelligence. mediasense is designed around how we help marketers optimize and transform through best-in-class structure and governance (Organization), partners and platforms (Ecosystem), governance and controls (Assurance), and measurement and effectiveness (Science). We have the proven ability to effectively support large, complex organizations and deliver multiple projects simultaneously. As evidenced through our strong track record with clients, we pride ourselves on the consistent high quality of service delivery and the ability to accelerate transformation and growth. mediasense has over 200 employees across London, New York, Singapore and New Delhi. For more information, visit ___ What We Offer • Hybrid working, • Initial 28 days holiday (before bank holidays) with an accrual of 4 days over first 4 years of service, • Day off for your birthday + 10 days annual leave purchase per year, • Length of service awards, • Work from any location in the world up to 4 weeks per year, • Bonuses: Discretionary company bonus scheme & new business bonus, employee referral bonus, • Pension & Group life insurance, • Private healthcare, enhanced parental, Employee assistance program,, • Annual season ticket loan, Cycle to work scheme + Tech & voucher schemes, • Eye test & contribution towards glasses for VDU, • Charity Day plus fund raising events for charity, • Learning & development opportunities, • Frequent events- such as summer, winter & bi-weekly socials, • Free fruit & snacks + building linked benefits such as being dog friendly, access to gyms & complementary gifts, classes or discounts The Role This role is for Data Platform Engineer, based in London. This role sits within our Data & Insights team, which provides the analytical infrastructure that underpins our advisory work. The team is building a modern data lakehouse on Snowflake, migrating legacy Alteryx and Tableau workflows into automated, versioned pipelines, and packaging outputs as software products with formal release cycles. We treat data engineering with the same discipline as product engineering: version-controlled, tested, continuously delivered, and documented. The role itself will involve a range of activities including: • Release lifecycle ownership (end-to-end): treat data products like software products by defining a clear release strategy (versioning, promotion through environments, rollback), and managing database/schema changes so delivery is predictable, low-risk, and repeatable, • CI/CD, testing & Git workflow: build and maintain automated test and deployment pipelines; establish branching and PR review discipline; write unit, integration, and data quality tests as a matter of course (not an afterthought), • Operational health of the data platform: own monitoring, logging, alerting, and incident response for data pipelines and platform services; administer and optimise Snowflake (compute, performance, cost management, and access controls), • Legacy maintenance & migration (supporting responsibility): maintain and gradually migrate legacy pipelines and applications across Alteryx, AWS, and Azure into the core lakehouse platform, • Infrastructure, security & data governance: contribute to reproducible, auditable environment management (Terraform or equivalent); help define and implement access controls, secrets handling, and data governance guardrails across CI/CD, Snowflake, and cloud services so security and compliance are built-in by default, • Interfaces, standards & collaboration: work with analysts and data scientists to define clean interfaces and data contracts; help establish and evolve shared engineering standards and ways of working so delivery is repeatable, low-friction, and resilient, • Documentation & runbooks: maintain clear technical documentation, operational runbooks, and post-incident learnings so knowledge is transferable and systems don’t rely on tribal memory The Candidate This is a hands-on role for someone who wants real ownership in a lean, fast-moving team. You bring software engineering discipline as a default behaviour: you default to automation over manual process, you question un-versioned or untested code, and you treat CI/CD, testing, and release management as core practice applied to data products. The ideal candidate will have the following: Required (core) • General project management - ability to manage timelines, communicate to stakeholders, and deliver to scope, • CI/CD & release management - practical experience owning automated build/test/deploy pipelines (GitHub Actions or equivalent), environment promotion, rollbacks, and change control, • Python - fluent for automation and pipeline/tooling development; writes clear, maintainable, testable code, • Git workflow & code review discipline - comfortable establishing branching strategy, pull request practices, and merge standards so a small team can ship safely, • Testing & quality mindset - writes tests as a default (unit/integration/data quality) and understands how to make failures visible and actionable (e.g., pytest, dbt tests, Great Expectations or equivalent), • Debugging, troubleshooting & maintainable architecture - comfortable finding root causes in production issues; has opinions on how to structure a codebase that three people can work in without stepping on each other; values documentation and runbooks Required (domain) • Snowflake - hands-on with data modelling, SQL optimisation, compute management, and access controls, • dbt - production experience building and deploying models, tests, macros, and documentation Desirable • AWS and/or Azure - comfortable navigating cloud environments to maintain and progressively migrate legacy workloads, • Orchestration - Airflow, Prefect, Dagster, or equivalent, • Infrastructure-as-code - Terraform or similar, • Data governance & observability - lineage, data quality frameworks, access policy, and monitoring/alerting practices Strong academic background in computer science, engineering, mathematics, or a related discipline preferred. More important than credentials: direct ownership, clear communication about what you know and don’t, and code you’re proud to have the next person read. Every application is reviewed by a human on our team (not AI), so it may take us a bit of time to get through them. Because of the large number of applications we receive, we’re not always able to reply to everyone individually especially via messages but we truly appreciate your interest. Please note that can only consider candidates who already have the right to work in the UK and do not require, now or in the future, visa sponsorship

Desktop support Engineer L 2 Experience Required: 3_7 years in IT infrastructure support, with focus on hardware, Software, and operating system issue resolution. Role Required: 5 days per week, 8 hours daily on-site support JOB DESCRIPTION Desktop JD: • strong experience providing IT Infrastructure field support which includes troubleshooting hardware, software, operating system issues and problems and fixing the issues without impacting / violating the hardware warranty or customer security compliance requirements., • Experience in installing, technical troubleshooting and fixing desktops, printers, laptop and other computer peripherals hardware problems as well as desktop applications., • Basic knowledge of enterprise LAN and WAN setups and concepts. Ability to perform smart hand activity under instruction based activities at sites., • Ability to lift / move computer equipment weighing up to 50Lbs., • Expert in desk side support and PC break/fix including basic administration of Windows O/S and MAC/Linux OS (preferred) and Mac OS/Apple device troubleshooting., • Usage Knowledge of TCP/IP networking, DNS, DHCP, VPN, and RDP., • Smart hand support for peripheral and networking hardware, including, but not limited to monitors, keyboards, mice, printers, fax machines, scanners, routers, wireless routers, switches, firewalls, racks, cabinets, multi-port data termination panels all under ‘Smart Hands’ capability. • Ability to troubleshoot issues with systems and networks using good deductive reasoning skill and troubleshooting & resolving issues related to end user network cabling., • Experience supporting RF devices troubleshooting and configuration, Thermal and Zebra printers, • Experienced in repeat call analysis and developing preventive actions, • Experienced in Problem management, • Excellent written and oral communications skills with clients and management as well as people skills., • Ability to work with deadlines and complete tasks on-time. Takes proactive ownership and works with sense of urgency, • Mobile Device Management –(MDM tools Mobile iron & Intune) - setup devices for email, RSA authentication, VPN connectivity and troubleshooting., • Good understanding and troubleshooting of Apple devices and apps., • Knowledge on VDI, SCCM/ LANDesk/ Altiris, Skype for Business, OneDrive., • Preferably with an Associate’s Degree in Electronics and CompTIA A+ Certification., • Experience of ticketing tools (ServiceNow), Non-Technical • Good Customer management skill,, • Good in oral and written communication, Bilingual resources (for non-English speaking) countires), • Able to interact and work with customer at different levels., • Self- Driven and result oriented., • Really passionate about the work

Platform Engineer Leading Technology-Driven Investment Firm London Up to £120,000 + Bonus/Benefits A leading technology-driven investment firm is seeking a Systems Specialist to join its infrastructure engineering team in London. This is an exceptional opportunity to contribute to the design, build, and operation of large-scale compute and storage environments that power a global trading platform. The successful candidate will be involved in every layer of the technology stack—from hardware and operating systems to automation and observability—while gaining exposure to how a world-class investment firm manages its technology infrastructure. Key Responsibilities • Manage a distributed compute environment and several petabyte-scale storage systems, • Install, configure, and monitor RHEL-based Linux environments, • Troubleshoot hardware and software issues across the stack, • Develop and maintain automation scripts and tools (Python, Ruby, or Bash), • Collaborate with internal teams and external vendors to resolve complex issues and improve systems reliability Required Qualifications • Up to 6 years of experience in a technology infrastructure or systems administration role, • Proficiency in Python, Ruby, or Bash scripting, • Bachelor’s degree in Engineering, Computer Science, or a related discipline Preferred Qualifications • Experience with modern software development practices (version control, agile methodologies), • Familiarity with infrastructure automation and configuration management tools (Chef, Puppet, or Ansible), • Exposure to distributed storage systems and related protocols, • Experience with observability and monitoring tools (Elasticsearch, Logstash, Kibana, Datadog, Prometheus, Grafana), • Strong written and verbal communication skills, • Demonstrated ability to learn quickly and adapt to evolving technologies, • Ability to work effectively in a fast-paced, collaborative environment

Founding Quantitative Engineer - HFT - Python, AWS, Crypto, Equities Early-stage, well-funded startup building high-performance, data-driven systems at the intersection of machine learning and complex, real-time environments. You will be one of the first hires, owning the design and development of core quantitative models and data systems from the ground up. What you’ll do • Design and implement quantitative models driving core product decisions, • Build and optimise large-scale data pipelines for model training and inference, • Work with real-time and batch data to improve prediction accuracy and system performance, • Partner closely with engineering to productionise models in low-latency environments What they’re looking for • Strong academic background in Computer Science, Mathematics, Statistics, or a related field from a top-tier university such as Oxford, Cambridge, Imperial etc..., • Strong programming skills in Python and at least one of C++, Go, or Rust, • Strong appreciation of platform engineering: understands how models interact with data pipelines, infrastructure, and production systems; able to design with scalability, reliability, and latency constraints in mind, • Experience building and deploying quantitative or ML models in production, • Solid understanding of statistics, experimentation, and data-driven decision making, • Experience working with large-scale, real-time or high-frequency data, • High ownership mindset, comfortable operating in an early-stage environment Nice to have • Experience in trading, optimisation, or ranking/recommendation systems, • Exposure to low-latency systems or performance-critical environments, • Background in startups or small, high-impact teams Why join • Founding-level role with direct impact on product and technical direction, • Small, elite team solving complex quantitative problems, • Strong compensation and meaningful equity

Knowledge Engineer | Knowledge Graphs | Ontologies | Semantic | RDF | OWL | Python | Hybrid, London About the Role Our mission is to improve the delivery and efficiency of healthcare. We are building a platform to model and manage the flow of information within healthcare organisations, improving outcomes for patients, payers, and providers. We believe data handling in current healthcare systems is often complex and disconnected, leading to isolated and inefficient decision-making. To demonstrate how this technology can advance healthcare delivery and improve lives, we build and deploy products for healthcare organisations in multiple international markets. We are an energetic health-tech startup of around forty employees. Our team is growing as we explore new markets and opportunities. We are passionate about applying technology to meaningful challenges. New joiners will have a significant impact on the direction of the company and its culture. Our Products AI Platform Our products are built on a Semantic AI platform that enables healthcare organisations to access advanced AI capabilities for their own use cases and applications. Partners may use platform APIs directly or collaborate with us to develop tailored applications. Operational AI Products We develop AI-powered tools that support healthcare operations, including solutions that reduce administrative burden in processing clinical correspondence. These systems help reduce staff time spent identifying coding requirements, suggest follow-up tasks, and optimise workflows. The goal is to save time and cost, improve audit performance, and build staffing resilience. The Role We are seeking a Knowledge Engineer to design, evolve, and operationalise the structured clinical knowledge that underpins our AI systems. This is a mid-to-senior individual contributor role focused on classical knowledge engineering and graph data curation. The role combines deep semantic expertise with real-world accountability: ensuring that clinical and administrative concepts are modelled correctly, knowledge graphs remain reusable across customers, and ontologies scale without becoming brittle or overly bespoke. You will play a critical role in ensuring clinical intelligence is durable, reusable, and transparent — embedding knowledge in structured systems rather than in individual expertise or ad-hoc code. This role includes collaboration with customers and internal teams and is offered on a hybrid basis from our London office. Core Responsibilities Ontology & Knowledge Graph Design • Lead the design, extension, and maintenance of medical ontologies, terminologies, and knowledge graphs., • Ensure semantic consistency and concept reuse across customers and products., • Model clinical and administrative concepts to support machine reasoning, not just human categorisation., • Ensure interoperability with relevant standards (e.g., SNOMED CT) and alignment with real-world workflows such as quality measures. Customer-Facing Knowledge Elicitation • Engage directly with customers to understand source documents, coding practices, and workflow nuances., • Translate customer feedback and AI failure modes into graph corrections, schema updates, or ontology extensions., • Identify when system errors reflect knowledge modelling gaps rather than model performance issues., • Act as a credible interface between operational realities and system structure. Knowledge Governance & Schema Authority • Own the representation, versioning, and evolution of clinical concepts within knowledge systems., • Define provenance and lineage requirements for clinical data., • Coordinate major ontology changes with Product and AI leadership while retaining execution ownership., • Ensure knowledge artefacts are well-documented, transparent, and reusable across teams. Automation & Tooling • Collaborate to design and build pipelines that ingest structured, semi-structured, or unstructured data into graph systems., • Work with engineers to automate ontology updates and reduce manual curation overhead., • Improve tooling to prevent knowledge bottlenecks., • Ensure robust documentation and knowledge transfer to support organisational adoption. Requirements Minimum requirement: A bachelor’s degree in computer science with a focus on logical systems (or equivalent education), plus at least two years of commercial experience delivering knowledge-based systems in production environments. Semantic & Ontology Expertise Strong experience in ontology engineering and semantic technologies, including: • OWL, • RDF, • SHACL Additional expectations: • Deep understanding of logical systems and knowledge modelling, • Experience with constraint validation and inference, • Ability to design ontologies that are expressive yet operationally practical Graph Infrastructure & Querying • Hands-on experience with triple stores such as Stardog, GraphDB, or Apache Jena/Fuseki, • Experience with graph databases (e.g., AWS Neptune) and hybrid storage models, • Advanced SPARQL skills, • Comfortable with SQL and NoSQL where appropriate, • Experience designing performant graph queries for production systems Automation & Data Engineering • Experience building ingestion pipelines to populate graphs at scale, • Ability to collaborate effectively with software engineers to operationalise semantic infrastructure, • Strong appreciation for documentation, versioning, and knowledge durability Domain & Operating Context • Experience working with healthcare data, clinical terminologies, or administrative coding systems is strongly preferred, • Ability to engage confidently with customers and translate domain knowledge into structured representations, • Comfortable working in a startup environment with high ownership and initiative Personal Attributes • Systems thinker with strong attention to conceptual clarity, • Pragmatic rather than academically purist, • Comfortable balancing theoretical correctness with real-world constraints, • Motivated by building durable, reusable knowledge systems that improve AI reliability Hiring Process • Introductory screening interview (30 minutes), • Technical and domain interview with Applied AI and Product leadership, • Final interview and offer Benefits • Competitive salary, • Company pension, • 25 days of paid annual leave (pro-rata), • Flexible hybrid working environment, • Employee Assistance Programme, • Modern office in central London with complimentary refreshments Knowledge Engineer | Knowledge Graphs | Ontologies | Semantic | RDF | OWL | Python | Hybrid, London

Senior Software Engineer Salary: Negotiable (Depending on Experience) Location: North London Area Schedule: 3-days on site and 2-days WFH per week The Opportunity We are supporting a globally recognised engineering business at the forefront of advanced radar and surveillance technology in the search for a Senior Software Engineer. This is an excellent opportunity to play a key role in the development of innovative, high-performance software solutions used within cutting-edge maritime navigation and defence systems. You will take ownership of software design across the full lifecycle, contributing to both new product development and the continuous improvement of existing systems. The Role As a Senior Software Engineer, you will be responsible for delivering robust, high-quality software from initial concept through to verification and release. You will also act as a technical mentor within the team, supporting the development of junior engineers and contributing to a collaborative engineering environment. Key responsibilities include: • Designing, developing, and delivering software solutions in line with project requirements, • Taking ownership of the full software development lifecycle, from specification through to testing and maintenance, • Supporting and enhancing existing software to meet evolving commercial and technical needs, • Collaborating with internal teams as well as external customers, suppliers, and partners, • Providing technical guidance and mentoring to junior engineers, • Contributing to continuous improvement and innovation across software development practices Experience & Skills • Strong experience in C++ software development, • Proven experience delivering projects across the full software development lifecycle, • Solid understanding of development environments such as Microsoft Visual Studio (2022/2026), • Experience with GUI/UX or Human-Computer Interaction (HCI), • Knowledge of scripting languages such as Python or PowerShell, • Degree in Software Engineering, Computer Science, or a related discipline, • Excellent communication skills, both written and verbal Why Apply? This is a fantastic opportunity to: • Work on genuinely advanced, real-world technology, • Join a well-established and growing engineering business with an excellent reputation, • Play a key role in shaping innovative software solutions, • Gain exposure across the full product lifecycle, from R&D through to delivery, • Access long-term career progression within a highly technical environment If this opportunity sounds of interest, please apply today or contact me directly for a confidential discussion. All applications will be handled with complete discretion.

Quantitative Developer - LNG - London THE ROLE We are seeking a highly skilled and motivated Quantitative Engineer with a focus on Commodities Trading, and ideally LNG .You will be part of a small but growing team where you will work directly with the business on complex technology trading problems. You will collaborate with Analysts, Traders and Software Engineers cross-functionally. KEY RESPONSIBILITIES • Work closely with the trading desks (traders, originators, structurers and analysts) to acquire in-depth business knowledge, identify their challenges, and capture specific needs., • Design and build scalable, high-performance end-to-end applications and implement quantitative models for structuring deal evaluations, trading, risk management and portfolio optimization., • Calibrate models to market data, including curves, volatilities, and correlations; perform back-testing, stress testing, and monitor model performance., • Implement robust applications to replace Excel-based processes where applicable, to enhance reliability, reduce operational complexity and minimise operational risk., • Contribute to the development of the shared quantitative platform designed to support all trading desks., • Utilise cutting-edge technologies, such as cloud computing, to drive improvements in efficiency and productivity for the trading desk., • Take ownership of the delivery and maintenance of high-quality code and provide prompt, effective support to resolve issues as they arise. Qualifications and Requirements: • Degree educated in either Computer Science, Mathematics, Statistics, Financial Engineering, or a related quantitative field., • Strong programming skills and advanced proficiency in Python., • Strong understanding of probability theory and derivative option pricing., • Experience with front-end frameworks such as Angular or React, and understanding of database management, including SQL or NoSQL systems., • Experience with Continuous Integration/Continuous Deployment (CI/CD) practices and cloud computing platforms., • Intellectual curiosity and willingness to learn new models and physical commodity markets., • Excellent problem-solving skills and a strong attention to detail., • Strong stakeholder communication skills., • Prior experience in commodities trading is beneficial but not required.

Role: Senior Software Engineer – Defence Location: North London Job Type: Permanent, Full Time, Hybrid We are partnering with a leading defence radar technology company to recruit a Senior Software Engineer. This is an exciting opportunity to work on cutting-edge systems, contributing to the full software lifecycle for advanced, high-performance products used in critical environments. The Role As a Senior Software Engineer, you will take ownership of software development from initial concept through to verification and delivery. You’ll play a key role in designing robust solutions, supporting existing systems, and mentoring junior engineers. Key Responsibilities • Develop high-quality software using best engineering practices for innovative and commercially viable products, • Own the full software development lifecycle: specification, design, implementation, testing, and maintenance, • Enhance and support existing software in line with business and customer requirements, • Collaborate with internal teams, customers, and external partners on technical solutions, • Provide guidance and mentorship to junior engineers, acting as a technical role model, • Contribute to additional project activities as required About You • Strong expertise in C++, • Proven experience delivering projects across the full software development lifecycle, • Proficient with Microsoft Visual Studio (2022 or later), • Strong communication skills (written and verbal), • Degree in a relevant discipline Desirable: • Experience with GUI/UX or Human-Computer Interaction (HCI), • Knowledge of scripting languages such as Python or PowerShell Why Apply? • Work on advanced defence technologies with real-world impact, • Be part of a highly skilled engineering team, • Opportunity to mentor and shape future talent, • Engage with complex, technically challenging projects SECURITY REQUIREMENTS: Candidates must be eligible/be willing to obtain SC clearance, and therefore hold British Citizenship.

SciPro is proud to be partnered with a leading respiratory imaging company whose unique cloud and AI platform enables large-scale analysis of patient and clinical data, accelerating research and improving outcomes in lung and heart disease. This health tech innovator is seeking a Senior Machine Learning Engineer to build, optimise, and deploy production-grade computer vision models on large 3D medical imaging datasets, with a strong focus on scalable training and high-performance inference. In this role, you will: • Parallelise training across multiple GPUs and GPU nodes, • Develop and containerise robust inference pipelines (Docker, ONNX/TensorRT), • Build cutting-edge ML infrastructure to be deployed at scale You should bring: • MSc or PhD, with 2+ years of industry experience, • Strong Python and PyTorch skills, • Experience with ONNX and/or TensorRT, • Hands-on experience with GPUs (multi-GPU / distributed) is a plus, • Experience with Docker, cloud platforms (e.g. AWS), and CI/CD, • A track record of delivering productionised, scalable ML systems This is a highly collaborative role with real ownership of state-of-the-art ML models. If you are a proactive, autonomous individual who thrives in fast-moving, purpose-driven environments, you will thrive in this position. This is a permanent role, requiring 1–2 days per week in London. Full right to work in the UK without restrictions, time limit, or sponsorship is required. Apply today to learn more!

To apply, please send the following to • Your resume / CV, • A short blurb introducing yourself and explaining why you are a good fit for the Hive, and confirming which location your're applying to (New York or London). Keep it short & real, no need for a fancy cover letter!, • Links to anything cool you’ve built with AI for work, school, or even just on your own time Position Overview The AI Hive is TowerBrook’s new fellowship for applied AI builders. This is not an analyst program and it is not a consulting role. Fellows do not produce slides about what AI could do. Fellows train intensively inside TowerBrook for six months, with the opportunity to progress into a twelve-month embed inside one of our portfolio companies as an Applied AI Engineer, working directly with CEOs and operating teams to ship AI-native solutions that move real numbers. The fellowship runs in two phases. In Phase 1 (six months), fellows are based at TowerBrook in New York or London, training with leading external AI partners and shipping high-priority internal projects across the firm. Fellows who excel in Phase 1 are considered for Phase 2 (twelve months): a full-time, onsite embed inside a TowerBrook portfolio company, working in person alongside the management team and reporting to the CEO, CTO, or Head of AI, and delivering milestone-based work with measured business outcomes. Fellows in this first cohort will have a unique opportunity to shape how TowerBrook builds and deploys AI talent across the portfolio Responsibilities Phase 1. Inside TowerBrook (Months 1 to 6) • Complete a three-week intensive training program with a leading AI-native training partner, covering prompt engineering, agent architecture, Claude Code and other coding assistants, workflow automation (n8n, Lovable), Python, and enterprise AI governance., • Pair with internal devs and senior engineers from best-in-class applied AI firms on live TowerBrook projects, shipping working prototypes within the first six weeks., • Lead at least two internal builds with named senior sponsors as business owners. Projects may span front, middle, or back office (investment teams, operations, finance, IR, compliance, knowledge management) depending on firm priority. Deliver shipped output, not recommendations., • Contribute to the shared Hive knowledge base (reusable agents, templates, playbooks) that compounds across future cohorts. Phase 2. Portfolio Company Assignment (Months 7 to 18) • Match into a portfolio company across TowerBrook verticals based on fit, and relocate as needed to work onsite at the company’s primary office for the duration of the twelve-month embed. Matching is jointly led by the Program Lead, the senior program sponsor, and TowerBrook’s Technology Operating Partners., • Run a four-week diagnostic sprint: map workflows, validate pain points, and produce a twelve-month build roadmap signed off by the company CEO and the TCP sponsor., • Execute three to five milestone-based build sprints of eight to twelve weeks, each delivering measured output (hours saved, revenue uplift, cost reduction, new capability shipped)., • Report directly to the company CEO, CTO, or Head of AI, while retaining ongoing connectivity to TowerBrook for the duration of the engagement., • Attend monthly Hive-wide cross-pollination sessions with other fellows and coordinators. Document learnings for the Hive knowledge base., • At the close of the twelve-month deployment, transition into one of four paths: a full-time role at the portfolio company, redeployment to a second company, a role at TowerBrook, or release into the TCP alumni network. Professional Qualifications & Experience • One to three years of post-university experience in a builder role. We read “builder” broadly: software engineering, data, product, operations with automation exposure, quantitative research, consulting with hands-on implementation, or early-stage startups. Candidates with fewer than one year or more than three years of experience are out of scope for the pilot cohort., • A technical or quantitative undergraduate background is welcome: computer science, engineering, physics, applied mathematics, statistics, computational biology, industrial engineering, operations research, information systems, or quantitative economics. We will also consider non-technical majors with visible builder evidence such as a GitHub portfolio, shipped side projects, or published technical writing., • Fluency with modern AI tools. You already use Claude or ChatGPT daily as a core part of your workflow, not as a novelty., • Working proficiency in Python or another scripting language is a plus — enough to prototype end-to-end without supervision is ideal, but not required. Formal ML engineering or data science experience is not required and is not what we are optimizing for., • Demonstrated evidence of shipped work outside a structured environment: a side project, an automation built at a previous role that nobody asked for, a product used by real users, or published writing with an audience. What you built matters more than where you built it., • Right to work in the United States (for New York candidates) or the United Kingdom (for London candidates) is preferred. Visa support may be available for exceptional candidates. Personal Qualifications • Stakeholder presence. At ease working with a company CEO or a TowerBrook partner, approaching business problems with curiosity and humility., • AI-native instinct. You reach for AI tools naturally during ideation and problem solving., • Builder disposition and bias for action. You try things rather than endlessly plan, and you pick up new tools quickly, including things outside your formal training., • Written communication. You can produce a crisp one-pager that a senior partner or a company CFO will actually read. Compensation & Benefits of working at TowerBrook • Private medical insurance, • Pension scheme with employer contribution, • Intensive applied AI training with a curated set of leading external partners across AI-native education and applied engineering, • Direct mentorship from senior TowerBrook partners, Technology Operating Partners, and portfolio company CEOs, • Guest seminar program featuring frontier AI lab teams, applied AI practitioners, and high-signal technical writers, • Clear post-fellowship pathways: full-time hire at the portfolio company, full-time role at TowerBrook (Applied Engineer, investment associate, or Hive coordinator), redeployment to a second portfolio company, or release into the TCP alumni network, • Access to cutting-edge AI tooling and early-access relationships with leading AI labs through TowerBrook’s partner networks, • A collaborative, entrepreneurial culture within a globally respected investment firm

Senior Data Engineer - Azure ROLE OBJECTIVE Our client is currently in the process of deploying its property management solution to the market and it is looking for a Senior Data Engineer to help with the implementation of new clients into their platform. The Senior Data Engineer will be responsible for creating and maintaining data pipelines, ensuring the smooth operation of data workflows, and providing analytical support to various departments. This role requires a strong understanding of data architecture, data modelling, and performance optimisation. The role will contribute significantly to the company’s success. There are opportunities for professional development, such as training programs, certifications, and career advancement paths. KEY RESPONSIBILITIES • Design, develop, and maintain scalable data pipelines, • SQL, Azure ADF, Azure Functions, DBT, • Collaborate with analysts and stakeholders to understand their data needs, scoping and implementing solutions, • Optimising and cleaning of data warehouse, cleaning existing codebase and creating documentation., • Monitor and troubleshoot data pipeline issues, • Provide technical support and guidance to junior team members, • Provide ongoing support for business applications., • Provide help with data analysis using SQL, Qube, Tableau, Hubspot and excel., • Perform systems analysis, business process analysis and design., • Project Management, developing project plans, and monitoring performance., • Monitoring deliverables and ensuring timely completion of projects., • Research and other ad-hoc tasks as needed., • Stakeholder Management This is not an exhaustive list of the duties that may be required of the post holder. Duties may be changed, after discussion, to suit the operational requirements of our client. KNOWLEDGE, SKILLS AND EXPERIENCE Technical • Educated to Degree Level, or equivalent, in Computer Science, Information Technology or related discipline., • Proven experience in software support and technical/business/data analysis., • Able to communicate effectively and clearly in writing and verbally, including drafting correspondence and documents and good presentation skills., • Experience with business intelligence and reporting tools like Tableau, PowerBI or similar., • Experience with version control systems (e.g. Git), • Ability to work in an Agile environment, • Experience with Microsoft SQL., • Experience with ETL Tools and Data Migration., • Experience with Data Analysis, Data mapping and UML., • Experience with programming languages (Python, Ruby, C++, PHP, etc)., • The ability to work with large datasets across multiple platforms with confidence., • A systematic and analytical approach to problem solving with the ability to communicate technical information to both technical and non-technical audiences., • Excellent skills with Microsoft Excel. Essential • Self-motivated, with high energy and enthusiasm., • Strict attention to detail., • Highly intuitive and tech savvy., • Ability to work in a varied and demanding role with appropriate supervision., • Ability to work to strict deadlines and be organised and efficient., • Pragmatic, creative and strategic approach to problem solving, with emphasis on fast and practical solutions., • Demonstrable experience of taking responsibility for own actions and development opportunities, maintaining high levels of integrity., • Strong leadership and teamwork, • Experience in working in an environment that is dynamic and fast paced., • Is personable and can easily building relationships to create consensus with internal and external parties (procurement, legal team, infrastructure, sales, back office, fund, etc)., • Ability to work effectively with senior management and cross-functional teams., • Commitment to equality, diversity, and mutual respect; accepting differences and treating everyone fairly., • The ability to think outside of the immediate task and constantly look at ways of improving processes. Desirable • Experience with Snowflake, Azure, AWS, • Experience with GA4, Search Console and Meta data sets, • Experience with property management software MRI Qube, Yardi or similar., • Experience with complex databases, • Experience in system support, monitoring & troubleshooting., • Experience of working in environments with high information security standards to meet needs of ISO27001, SOC2 and GDPR etc, • Experience with AI and/or Machine Learning, • Project planning and management experience., • Experience with finance systems i.e. Sage, Qube, IRIS or similar., • Experience with CRMs such as HubSpot or similar.

Software Engineer (Python / React) Location: London (Hybrid) Experience: 1-5 Years Sector: Elite FinTech Firm Compensation: Up to £140,000 Base + Industry Leading Bonus + Comprehensive Package A leading FinTech firm in London is seeking a talented Software Engineer to join its growing technology team. This is an opportunity to work in a fast-paced, high-performance trading environment where technology is central to the firm’s success across multiple asset classes. The Role They’ll find the best team to suit your skillset/interests but you could be working on: • Some of the world’s most performant ETL pipelines that deal with billions of data points every second, • Software solutions/products with scale, reliability and latency considerations in mind, • R&D work for functional programming (either pre-existing languages (such as Rust and Erlang), or purpose-built languages similar to OCaml, • Machine Learning Infrastructure and search models, • Quant Logic/Research models for Alpha Generation Key Responsibilities • Design, develop, and maintain scalable, high-performance applications, • Build robust backend systems using Python and/or modern frontend interfaces using React, • Collaborate with cross-functional teams including traders and quants Requirements • 1-5 years of professional software engineering experience, • Strong experience in Python and/or React, • Bachelors Degree in Computer Science (or similar) is preferred If the above is of interest, please apply or email me directly at

Machine Learning Engineer, ADMET, Drug Discovery | B2B AI Start-up | 3 Days PW in London | Up to £130,000 Plus Benefits I am currently representing an AI-native drug design scale-up that is solving the "sparse data" problem in pharmaceutical research. While most of the industry relies on public data, this company has built a proprietary platform fueled by curated, non-public experimental measurements—including potency, binding, and ADMET—aggregated from exclusive partners and patents. Since their 2023 launch, their platform has been adopted by hundreds of chemists globally to accelerate drug programs in oncology, dementia, and inflammation. They are now looking for a seasoned ML Engineer to join their high-performing team in Victoria House, Central London, to help supercharge the next phase of their product. The Role of Machine Learning Engineer, ADMET, Drug Discovery | B2B AI Start-up | 3 Days PW in London | Up to £130,000 Plus Benefits This isn't just a research role; it’s about building robust, production-grade systems at the intersection of biology, chemistry, and machine learning. You will be instrumental in shaping their technological framework from its inception. • Model Development: Build advanced molecular property prediction models and expand their AutoML pipelines., • Infrastructure & MLOps: Architect the core ML infrastructure, including training pipelines, experiment tracking, model registries, and CI/CD for models., • Data Curation: Curate and prepare specialized datasets of molecular properties., • User-Centric Innovation: Work closely with chemistry teams and stakeholders to translate scientific needs into actionable technical solutions. Who You Are The team prioritizes outcomes over outputs and values "Ownership". They are looking for someone who thrives in an environment where they aren't dictated to, but are held accountable for their impact. • Production Experience: You have demonstrable industry experience building and deploying ML systems in production, going beyond simple research prototypes. Experience working specifically with ADMET Data, • Engineering Excellence: Strong software engineering skills and hands-on experience with MLOps tooling, containerization, and model serving., • Cloud Fluency: Highly comfortable with AWS, GCP, or Azure and Infrastructure-as-Code., • Communication: Ability to collaborate across disciplines and present technical findings clearly., • Bonus Points: A PhD in Chemistry or Computer Science, experience with RDKit/PyTorch, or a track record of open-source contributions. Why Join? • Equity: A competitive option plan aligned with the early stage of the company., • Modern Benefits: Private medical insurance , a 5%/5% pension scheme , and the Cycle to Work scheme., • Flexibility: 1-week remote working allowed per quarter., • Culture: Frequent social events and off-sites with a team that values continuous learning and "Perseverance". If you are interested in the Machine Learning Engineer, ADMET, Drug Discovery | B2B AI Start-up | 3 Days PW in London | Up to £130,000 Plus Benefits drop over your CV and if we think you are a good fit, we will give you a call!

Distributed Compute Engineer (Python) Client: Frontier Infrastructure Scale-Up Salary: up to £225,000 P/A Location: London The role: We are looking for a Distributed Compute Engineer to help build the backbone of a next-generation compute platform designed to operate at extreme scale. In this role, you will design and develop the systems responsible for orchestrating, scheduling, and executing workloads across vast distributed environments. This is not simply backend development—this is engineering the machinery that turns thousands of machines into a single, cohesive, highly efficient compute engine. You’ll work on problems that sit at the core of modern infrastructure: resource allocation, fault tolerance, task scheduling, data locality, and system throughput. Expect to design services that remain performant under pressure, recover gracefully from failure, and scale without friction. Working closely with platform engineers, data teams, and research groups, you will identify inefficiencies across distributed workloads and build systems that eliminate them. From optimising execution pipelines to reducing latency at scale, your work will directly influence how compute is consumed across the organisation. As part of a high-calibre, early-stage team, you will take ownership of key architectural components—defining how systems communicate, scale, and evolve. You’ll contribute to a culture that values precision engineering, thoughtful design, and a deep understanding of how software behaves in production at scale. This is an opportunity for someone who enjoys building systems that are invisible when they work perfectly—but absolutely critical when they don’t. You’ll be shaping infrastructure that quietly powers everything around it. You will have: • 4+ years of experience building production systems using Python (experience with Go, Rust, or C++ advantageous), • Proven experience working with distributed systems at scale, • Strong understanding of system design, concurrency, and performance optimisation, • Experience with task scheduling, orchestration frameworks, or large-scale data processing systems, • Solid grasp of networking fundamentals and distributed system failure modes, • Excellent academic background – ideally Computer Science or a related discipline, • A naturally curious mindset with a tendency to dig deeper than necessary The organisation is building some of the most advanced compute infrastructure in the industry, and you can expect: • A genuinely world-class engineering environment, • Complex technical challenges that very few companies are equipped to tackle, • Highly competitive compensation and bonus structure, • Engineers who care deeply about craft, performance, and clean design, • Real ownership and influence over systems that operate at significant scale, • Technology that is not just current—but setting the pace for what comes next Please apply ASAP for more information.

Computer Vision Research Engineer About iProov iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance. This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose. The Role Reports to: Head of Biometric Platform Location: WeWork Waterloo - Hybrid Comp: Up to £60k (Base) + Company Performance Bonus (10%) + Share Options + UK iProov Benefits iProov is looking for a Computer Vision Research Engineer to join our Biometric Platform team. You will be responsible for working on the biometric systems, developing new techniques and algorithms ensuring security and performance. How you can make an impact • Research and prototype new biometric systems - by testing and integrating existing technologies or by designing a new solution, • Improve upon existing biometric functionality, looking for opportunities to improve the accuracy, interpretability and speed of biometric systems, • Work with the Platform developers to produce production code, • Provide Guidance and collaborate on Cross functional projects, • Understand the impact of changes, ensuring the best outcomes for our customers and end-users What we would like to see from you • Proficiency in Machine Learning, • Experience in Computer Vision, • Organised and driven, • Excellent communication with both technical and non-technical audiences, • Enjoys collaborating with cross-functional teams, • Python, • Docker/Github/Jira, • OpenCV, sklearn, pytorch/tensorflow Benefits • 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service), • Growth Shares allocated after passing probation (6 months of service), • Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme, • Nursery Sacrifice Scheme, • Work Overseas Perk - Work globally for up to 2 weeks, • Life Assurance, • SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family, • Benefit from personalized 1:1 career coaching with our in-house Occupational Psychologist, • Award winning L&D platform with personal allocated training budgets, • Enhanced paid family leave, • Pension - 5% employee, 3% employer, • Flexible hybrid working environment, • Free Barista Coffee/Tea, biscuits with fruit in the WeWork office, • Free access to WeWork discounts and free online well-being sessions, • Vitality Health - a range of options available on this below The Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example: • Private Health cover including Dental, Optical, and Audiology, • 50% off monthly gym memberships, • Apple watches significantly discounted based member vitality status, • Half price trainers with Runners Need, • Weekly rewards – Free coffee with Café Nero, • Monthly rewards – Free Cinema ticket, • Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status, • Amazon prime free months based on activity, • Up to 25% cashback at Waitrose when buying healthy foods, • 75% off stays at Champneys Health Spas, • Allen Carr’s £299 no smoking programme for free, • Access to Vitality Healthy Mind with 30% off Headspace subscriptions and the ability to earn Vitality points for using Buddhify, Calm and Headspace, • Discounts on Weight Watchers, • 50%-80% off Comprehensive Private Health screenings Our Culture & Recruitment Process At iProov, we're incredibly proud of the culture we've carefully curated. Our culture enables diverse thought, curiosity and innovation. Our team strives to do everything to the highest standard possible to achieve the remarkable. To do that we need different perspectives, experiences and ideas alongside an environment where these are welcomed - we want everyone to feel confident in bringing their full capabilities to work. We firmly believe psychological safety is key to building and nurturing great teams. We’re a small and dynamic company, that means having the right skills is important, and we know that our best work emerges when people feel secure, welcomed and respected. As an equal opportunities employer, we encourage applications from people of all backgrounds. We’re committed to building a workforce that is representative of the people we serve. We will not put someone at a disadvantage or treat them less favourably because of race, color, national origin, ancestry, age, disability, creed, religion or belief, sex, sexual orientation, gender reassignment, marriage or civil partnership, or pregnancy and maternity. Our goal is to find people who are passionate about creating a safer, more secure world. Our recruitment process is designed to be fair and transparent, focusing solely on your qualifications, competence, and suitability for the role. We review all applications carefully and will be in touch with shortlisted candidates regarding the next steps in our interview process. If you need an adjustment for a disability or any other reason during the hiring process, please send a request to

Role: Python Software Engineer Location: Remote (anywhere from Europe) Salary: Up to £90k / €100k base + equity We're partnered with a well-funded startup that's building AI agents to automate operations in the consumer goods space. Small team, strong backers, and real traction with customers. The Role As a Python Software Engineer, you'll be designing and building intelligent, autonomous systems that solve real operational problems for growing brands. You'll own solutions end-to-end - from architecture and scoping through to production - working closely with product and engineering leadership. This is a hands-on role with genuine ownership and direct influence over how the product evolves as the company scales. What You'll Be Doing • Designing and building agentic solutions that reason, act, and learn independently, • Owning the full solution lifecycle - architecture, MVP scoping, delivery, and iteration, • Writing and reviewing code across a modern Python-based stack, • Using AI coding tools as your primary development workflow, • Collaborating closely with Product to identify opportunities and challenge assumptions, • Keeping stakeholders aligned on progress, priorities, and trade-offs, • Spotting issues early and re-aligning fast to keep delivery on track The Ideal Candidate Will Have • 4+ years building products in fast-paced startup environments, • Python as a core language, with comfort working across the stack, • Experience using AI coding tools daily, • The ability to think in systems of intelligent, autonomous components, • Strong ownership mentality - resourceful, independent, and outcome-driven, • A relevant degree in Computer Science, Engineering, Mathematics, Physics, or similar Why Join • Competitive salary + equity in a fast-growing startup, • Fully remote across Europe, • 25 days holiday + local public holidays, • Small, tight-knit team where every contribution has direct impact, • Great benefits and regular team meetups Fast-moving, AI-native, and high-impact - this role is for engineers who want to build autonomous systems that solve real problems, not just write code.

Principal Power Systems Engineer - London RED are an expanding international M&E consultancy, with a proven track record in low energy design, focused on providing excellent design solutions to clients. Through our market leading technical expertise, we enable the world’s digital infrastructure and develop the built environment whilst also helping clients realise ambitious plans for zero carbon-built environments. We cover the entire life cycle of any building project, with our broad capability offering saving our clients time, money, and effort. Our approach is centred around listening to our clients and interacting energetically with our fellow project stakeholders. We add value with our people, client service ethos, global delivery strategy, technical ability, and attitude. We now seek a Principal Power Systems Engineer to be based out of our London office. Role Responsibilities As a Principal Power Engineer at RED Engineering, you will play a crucial role in the design and optimization of power systems within the data centre industry. Your primary responsibilities will include running computer simulations, supporting design teams, and ensuring the reliability and efficiency of power distribution systems. We are particularly interested in candidates with expertise in ETAP, although experience with DigSilent or SKM will also be considered. Key Responsibilities: Simulation Expertise: • Conduct load flow analysis to ensure optimal power distribution within data centre facilities., • Perform short circuit analysis to assess the integrity of the power system under fault conditions., • Coordinate protection systems to enhance the reliability and safety of the power distribution network., • Execute arc flash studies to mitigate risks and ensure compliance with safety standards., • Conduct harmonic studies to minimize power quality issues and optimize system performance. Collaborative Design Support: • Collaborate closely with the design teams to understand project requirements Transient Stability Studies: • Experience in Transient Stability studies would be an advantage, contributing to the resilience of the power systems under dynamic conditions. Documentation and Reporting: • Validate input data to ensure accuracy and reliability in simulation results., • Prepare comprehensive reports detailing simulation results, recommendations, and design considerations., • Maintain accurate and up-to-date documentation related to power system simulations and design support activities. Continuous Professional Development: • Stay abreast of industry trends, best practices, and emerging technologies., • Contribute to the continuous improvement of simulation methodologies and tools within the power systems team. Review: • Support Power Systems Engineers in their deliverables., • Review models and reports for Power Systems team. Role Requirements • Bachelor's or Master's degree in Power Engineering., • Proven experience in power systems engineering, preferably within the data centre industry, • Proficiency in simulation software, particularly ETAP (preferred), DigSilent, or SKM., • Experience with Load Flow, Short Circuit Analysis, Protection Coordination, Arc Flash, Harmonic Studies, and Underground Cable Sizing., • Experience in performing Transient Stability Studies is desirable., • Experience in performing Earthing Studies is desirable., • Demonstrate a deep understanding of the models of main electrical machines, including but not limited to generators, transformers, motors and UPS., • Experience in both LV and MV systems, ideally HV up to 132 kV., • Strong knowledge of power systems control and SCADA systems., • Excellent analytical and problem-solving skills., • Effective communication and collaboration abilities., • Background in consulting or construction preferred., • Good understanding of international working and business operations of a global consultancy. Benefits RED offers a variety of benefits, including but not limited to: • 23 days annual leave rising to 28 days annual leave over 5 years’ service, • Holiday purchase and buy back scheme, • Hybrid Working, • Contributory company pension scheme, • Healthcare Scheme (Company funded cover is dependant on level), • Non-contractual bonus awards, • Training sponsorship, • Charity volunteering leave, • Wellness days/ initiatives., • Salary commensurate with experience., • Our people work in friendly teams with a collaborative approach and mentoring support from talented leaders., • We offer a comprehensive benefits package and are an equal opportunities employer. *This role will ideally suit those with the right to live & work in the UK without restrictions.

Work Type : FTE Contract: B2B Language: English JOB DESCRIPTION Desktop Technician will provide day to day local\remote desktop support, receive inbound calls, answer questions, troubleshoot and document steps performed to resolve challenges with hardware, software and application issues in a ticketing system. The candidate will also need to facilitate customer resolution for calls and engage their supervisors and managers to ensure operational consistency across all shifts within the IT Support Centre. Desktop Support Engineer provides Break Fix, fault diagnosis and resolution. Providing fault analysis to customer’s various core operating systems and platforms, as well be able to provide support and apply desktop fault resolution for the approved application suite. Ideal candidate should have 2-3 Years’ experience in Windows Desktop support. Position Responsibilities and Functions • Provide first/second level contact and problem resolution for customer issues., • Work with vendors to remediate complex AV issues as needed., • Provide timely communication on issue status and resolution., • Maintain ticket updates for all reported incidents., • Install, upgrade, support and troubleshoot XP, Windows 7, Windows 8.1, Windows 10 and Microsoft Office 2010, Cisco Jabber, another authorized desktop application., • Should have basic knowledge of Mac operating system, to support Apple pc users., • Install, upgrade, support and troubleshoot for printers, computer hardware., • Performs general preventative maintenance tasks on computers, laptops, printers., • Performs remedial repairs on Desktops, laptops, printers and any other authorized peripheral equipment., • Use diagnostic tools to troubleshoot problems associated with network connectivity, and workstation hardware/software., • Broad experience of IT with basic understanding of Networks, Servers, Audio/Visual, Smart Devices and Telecoms., • This position requires the ability to work in a project-based environment requiring flexibility and teamwork. Performs other duties as assigned. Candidate Required Minimum Qualifications and Skills • Bachelor’s Degree or equivalent in Computer Science or related field., • CompTIA A+, Microsoft Certified Professional (MCP) or better., • Minimum of 2-3 years of IT experience., • Windows 7-10, Microsoft Active Directory, utilization of GPOs, MS Office 365, PC hardware installation and troubleshooting, Enterprise anti-virus solutions, Helpdesk ticketing systems., • Mobile device management including IOS and Android devices, Enterprise encryption solutions, Windows PC/laptop management via Active Directory., • Proven analytical, troubleshooting and problem-solving skills., • Proven ability to multi-task, effectively determine priorities and meet SLA’s., • Excellent communication relationship-building and internal customer service skills., • Adaptable and flexible in a fast-changing industry and work environment.

⚛️ React Engineer – Elite FinTech Firm 📍 London (Hybrid) 💸 Up to £180,000 + Bonus + Comprehensive Benefits 🚀 The Opportunity Join a world-class buy-side firm as a React Developer, building high-performance front-end systems that power sophisticated trading and pricing workflows. This is a rare opportunity to operate at the intersection of modern web engineering and quantitative finance — delivering scalable, low-latency applications that directly support real-time decision-making. You’ll collaborate closely with engineers, quants, and traders in a fast-paced, high-impact environment. 🔧 What You’ll Do • Design and build scalable, high-performance front-end applications using React, • Develop intuitive, data-rich UIs for trading, analytics, and pricing workflows, • Integrate seamlessly with backend systems and real-time data pipelines, • Partner with cross-functional teams to deliver robust, production-grade solutions 🌟 Why This Role Stands Out 🔧 Next-Gen Front Ends – Build cutting-edge UIs in a trading-focused environment 📊 Complex, Data-Heavy Systems – Work on high-performance, real-time applications 🧠 Elite Collaboration – Partner with top-tier engineers, quants, and traders 💼 Top-Tier Rewards – Strong compensation, bonuses, and a meritocratic culture ✅ What You Bring 🎓 Degree in Computer Science, Engineering, or a related STEM field 💻 1+ years of professional software development experience ⚛️ Strong expertise in React and modern front-end development 🔄 Familiarity with Agile workflows, Git, and CI/CD pipelines ➕ Bonus: Experience with Python or backend integration This isn’t just another front-end role — it’s a chance to shape the core technology driving one of the world’s most respected investment firms. Apply now or reach out directly:

Multi Skilled Engineer (Electrical & Mechanical) 12-month contract, 37.5/hrs week On-site White City 8:30am-5pm £23/hr About our Client: Our client is a clinical-stage biopharmaceutical company developing next-generation, programmed T cell therapies for the treatment of cancer. Using a broad suite of proprietary and modular T cell programming technologies. The company is engineering precisely targeted, controlled and highly active T cell therapies that are designed to better recognize cancer cells, break down their defense mechanisms and eliminate these cells. Role Summary: The Multi-skilled Maintenance Engineer will be responsible to maintaining specialist laboratory, analytical equipment, and facility installations to support our Research & Development, Process Development and Translational team at MediaWorks The engineer will be primarily responsible for equipment breakdown repairs & on-going maintenance work of laboratory & analytical equipment and associated utility systems. The engineer will help develop engineering processes and systems including asset management, maintenance, and continuous improvement. They will plan and complete a range of reactive & planned maintenance works associated within lab as well as supporting assessment, identification, ordering and maintaining critical spares. To ensure ongoing compliance with all EHS, quality and statutory regulations and best practices. They will work closely with Lab Operations, Facilities and Scientific Groups at MediaWorks to maximise equipment uptime and support organization's critical activities at MediaWorks. Key Responsibilities: • Complete a daily health check of laboratory equipment and monitoring systems and ensure non-compliances are reported and dealt with in a timely manager, • To provide first fix responding, diagnostics repair & improving equipment at MediaWorks, and handing back the equipment in a safe, reliable, and compliant state, • Respond to CAPA actions to ensure timely close out of all Quality issues associated with Engineering and Facilities, • Support equipment validation as needed, • Support control and monitoring systems, • Deliver improvement projects related to control and instrumentation as needed, • Act as main point of contact on assigned external service providers and manage their deliverables on behalf of the engineering team, • To maintain the asset care plan up to date, and ensure suppliers and contractors are booked in advance to attend site to maintain, calibrate, repair equipment., • To manage contractors on site, monitor, manage and review activities and subsequent paperwork and reports an archive accordingly into the engineering library., • Planning and undertaking scheduled maintenance., • Using manuals and failure history to develop preventative tasks., • Maintaining and recording reactive and planned maintenance records on to the CMMS and engineering library, • Providing operator training as necessary., • Provide liaison with Media Works engineering & building management team to ensure activities are performed effectively & safely and to address equipment and facility issues that impact operations at MediaWorks., • To own, manage and admin assigned engineering systems as needed, • Provide engineering support for wider project activities within the teams., • Provide in house cleaning, calibration, and maintenance activities for equipment (e.g flow cytometers, plate washers, incubators, fridges, freezers, pipettes, etc)., • Support engineering team in implementation and maintenance and upkeep up CMMS system., • Operate ERP system to raise requisition, deal with invoices when work is complete in a timely manner., • Own identification, risk assessment and plan implementation of control measures surrounding hazardous tasks at MediaWorks related to laboratory activities., • Own creation, implementation and training of emergency and on-call procedures to be followed on environmental monitoring systems & LN2 generation, • Support identification and storage of required spares, consumables, and tools for activities in the laboratories, • Managing stocks of critical engineering spares and equipment., • Provide status and look ahead reports related to laboratories and equipment as needed, • Write, review and update maintenance SOPs and one point lessons for equipment and monitoring and utility systems, • Work within the GLP requirements, • Support site projects as assigned, • Providing support to Facilities, lab operations and Capital Project Engineering as required., • Other activities as assigned Demonstrated skills and competencies E – Essential P – Preferred Experience • Knowledge and expertise working with laboratory and analytical equipment in a GLP environment – P, • Ability to provide diagnostics and first fix capabilities on a range of equipment system – E, • Ability to complete FMEA, create detailed SOPs and training end users on operations of daily upkeep of laboratory equipment – E, • CMMS experience – E, • Experience of managing and performing planned preventive maintenance – E, • Experience of completing in house calibration on wide range of instruments - P, • Computer literate – E, • Microsoft Excel - E, • Equipment validation lifecycle knowledge. – P, • Document generation and review. -E, • Knowledge of current standards, procedures, & controls for GxP facilities and equipment – P, • Pharmaceutical Utility systems knowledge – HVAC, Medical gasses (CO2, O2, N2) etc. – P, • Experience in GLP standard quality management systems – P, • Project management experience. – P, • Electrical, Instrumentation and Control system experience. - P

Software Engineer Tech Stack: C#, .NET, Python, AI Development, SQL, Azure London - Onsite Salary Range: £70,000 - £90,000 Harrington Starr has partnered with a boutique Investment Bank, with decades of experience and exceptional performance. They are currently seeking to hire a Polyglot Engineer possessing strong experience developing front office applications and systems, written in C# and Python. If you have a deep interest working with modern technologies, building reliable business applications this could be the role for you. Responsibilities: • Design and develop new front office application utilising C#, .NET, Python, • Working on internal systems to maintain quality and standards, • Utilising historical data for analytics, automation and strategic decision making, • Integration of modern technologies and use of AI, • Daily interaction to quickly solve any issues for front office Benefits: • The ability to convert essential business needs and support front office functions, • Excellent base salary up to £90,000 based on experience and domain knowledge, • Exceptional bonus and benefits (health and dental care, life insurance), • Working flexibility Key Requirements: • BSc Computer Science or related Mathematical degree, • Excellent knowledge and experience developing with C#, .NET, Python, • Good experience developing front office systems, interacting with various stakeholders, • Excellent communication, • Strong commercial development experience with AI technologies, • Un-restricted right to work in the UK If you would like to book in a confidential phone call to discuss this opportunity in further detail, please apply below or send through a copy of your up-to-date CV via email to

Customer Support Engineer A fantastic opportunity for a Customer Support Engineer to join a rapidly growing, cutting-edge technology company. This organisation is developing highly advanced software solutions used by leading global businesses, and they are looking for a proactive, highly organised and customer-focused individual to join their support team. This role is less focused on deep technical troubleshooting and more centred around managing customer queries, ensuring clear communication, and driving issues through to resolution. Location: London - 3 days per week in office Salary: Competitive + benefits Requirements for Customer Support Engineer: • Minimum of a 2.1 degree from a leading University, • At least AAB at A Level or equivalent, • Excellent communication skills, both written and verbal, • Highly organised with strong attention to detail, • Ability to manage multiple tasks and prioritise effectively in a fast-paced environment, • A customer-first mindset with a focus on clarity and responsiveness, • Strong problem-solving skills with the ability to assess and coordinate issue resolution, • A proactive and solution-oriented approach, • Ability to remain calm under pressure, • Experience in a customer-facing, support or service-based role is beneficial but not essential, • Exposure to technical environments, such as software or IT systems, is advantageous but not required, • Experience with tools such as Intercom or similar support platforms is beneficial Responsibilities for Customer Support Engineer: • Act as the first point of contact for customer support queries via phone and support platforms, • Manage incoming queries and incidents, ensuring each is clearly understood and actioned, • Resolve straightforward issues where possible, focusing on efficiency and clarity, • Coordinate and triage more complex issues, ensuring they are accurately logged and escalated, • Provide clear, professional and timely responses to customers at all stages of their query, • Keep customers informed of progress and next steps throughout the lifecycle of each request, • Maintain accurate records of incidents, communications and outcomes, • Follow internal processes and contribute to the continuous improvement of support procedures, • Collaborate closely with wider technical teams to ensure smooth handover of escalated issues What the role offers: • Opportunity to join a high-growth technology company working on advanced software products, • A fast-paced, collaborative and supportive team environment, • Clear opportunity to develop strong customer, operational and coordination skills, • Exposure to a wide range of technologies and business processes Applications: If you would like to apply for this unique Customer Support role, please send your CV via the relevant links! We’re committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by separately emailing (if this email address has been removed by the job board, full contact details are readily available on our website). Keywords: Customer Support Engineer / Customer Support Specialist / Support Analyst / Customer Operations Executive / Service Desk Analyst / Technical Support Analyst / Customer Success Associate / Customer Support Executive / Client Support Specialist / Helpdesk Analyst / Customer Experience Executive / Support Coordinator / Intercom / Customer Support Tools / Ticketing Systems / SaaS / CRM Systems / Incident Management / Customer Communication / Workflow Management / Process Improvement / Escalation Management / Computer Science / Information Technology / Business Systems / STEM Degree / Engineering Degree

Lynx Recruitment is partnering with a specialist data and AI consultancy to recruit an experienced AI Engineer to work on cutting‑edge Generative AI and agentic AI solutions. Our client delivers data platforms, advanced analytics and AI/Machine Learning solutions that drive tangible business outcomes. The focus is on designing, deploying and operating production‑grade GenAI and agentic systems on AWS, supporting organisations across multiple industries. Role Overview As an AI Engineer, you will design, develop and deploy production‑ready Generative AI solutions for enterprise clients. You will be involved across the full lifecycle of GenAI products—from proof of concept through to scalable production deployment and monitoring. Working with modern LLMs, RAG architectures and agentic frameworks, you’ll collaborate with data engineers, solution architects and business stakeholders to deliver secure, cost‑effective AI solutions on AWS. Key Responsibilities • Design and implement production GenAI applications using LLMs (e.g. Anthropic, AWS Bedrock models), • Build and deploy RAG systems using vector databases and semantic search, • Develop agentic AI workflows using frameworks such as LangChain, LangGraph, CrewAI or similar, • Create effective prompt engineering strategies with appropriate guardrails for production systems, • Implement monitoring, evaluation and continuous improvement frameworks for GenAI applications, • Build and maintain CI/CD pipelines for testing, deployment and version control, • Work directly with client stakeholders to gather requirements, demonstrate solutions and iterate delivery, • Document architecture designs, decisions and best practices Required Skills & Experience • 1+ year hands‑on experience deploying GenAI / LLM applications into production, • Experience with AWS services such as Lambda, SageMaker, Bedrock, S3, EC2 and ECS, • Strong Python development skills with modern AI/ML libraries, • Practical experience using at least one LLM API, • Solid understanding of prompt engineering, RAG architectures and vector databases, • Experience with LangChain, LangGraph, LlamaIndex or similar frameworks, • Familiarity with Git and CI/CD workflows, • Bachelor’s degree in Computer Science, Engineering or a related discipline (2.1 or above) Highly Desirable • Hands‑on experience building agentic AI systems with planning, tool use and multi‑step reasoning, • Experience fine‑tuning or adapting LLMs for domain‑specific use cases, • Familiarity with LLM evaluation frameworks (e.g. RAGAS, LangSmith), • Knowledge of LLM security, hallucination mitigation and responsible AI practices, • Master’s degree in AI, Machine Learning, Data Science or a related field