Research engineer jobs in United Kingdom

MUST BE BASED IN THE UK TO BE ELIGIBLE. Are you an experienced Back-end Engineer seeking new and exciting opportunities? While we may not have an immediate vacancy, we’re always on the lookout for talented individuals to join our Talent Pool. Who We Are GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together. What We’re Looking For We want to connect with Back-end Engineers who demonstrate expertise in a broad range of core skills and experience, including but not limited to: • A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering) or equivalent professional experience., • Strong Python skills, with experience in back-end development and unit testing., • Familiarity with generative AI concepts, particularly Large Language Models., • Experience with cloud platforms (Google Cloud preferred), including core web application infrastructure., • Knowledge of agile practices and ability to thrive in collaborative, iterative environments., • Proficiency with modern development tools and workflows (e.g., git/GitHub, DevOps practices), with a mindset of commit early and deploy often., • Understanding of web development best practices, modern design principles, and continuous integration workflows., • Experience with automated testing tools and building robust test suites. What You Might Be Doing As an Back-end Engineer at GSK, you could get involved with: • Backend development for Python-based web applications., • Integration of AI/ML components with backend systems, data pipelines, and compute infrastructure., • Delivering high-quality implementations following best practices, including automated testing and documentation., • Participating in code reviews and collaborating with technical teams across disciplines., • Supporting evaluations and insights on generative AI datasets. Why Join Our Talent Pool? • Be the first to hear about new back-end roles as soon as they go live., • Gain access to exclusive insights about GSK’s roles, projects and company culture., • Receive updates on training, development opportunities, and industry trends. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Inclusion at GSK GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. Important notice to employment businesses/agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting For the Record site.

MUST BE BASED IN THE UK TO BE ELIGIBLE. Are you an experienced Full-stack Engineer seeking new and exciting opportunities? While we may not have an immediate vacancy, we’re always on the lookout for talented individuals to join our Talent Pool. Who We Are GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together. What We’re Looking For We want to connect with Full-stack Engineers who demonstrate expertise in a broad range of core skills and experience, including but not limited to: • Experience in front-end development, with expertise in frameworks such as React., • Experience in Python development (e.g., using FastAPI) for backend services., • Comfortable working with modern, cloud-native technologies and continuous deployment practices., • Strong skills in JavaScript/TypeScript and similar., • Understanding best practices for scalable, maintainable code and automated testing., • Curious, collaborative, and passionate about applying technology to improve health outcomes., • Familiarity with agile methodologies and ability to thrive in collaborative, iterative environments., • Experience in AI/ML or life sciences is a plus, but not required - what matters most is a commitment to continuous learning and a desire to make an impact. What You Might Be Doing As an Full-stack Engineer at GSK, you could get involved with: • Developing front-end applications and interactive data visualizations., • Integrating AI/ML components with backend systems and data pipelines., • Building and maintaining cloud-based infrastructure for large-scale applications., • Collaborating with designers and scientists to create intuitive user experiences., • Driving best practices in software development, testing, and deployment. Why Join Our Talent Pool? • Be the first to hear about new full-stack roles as soon as they go live., • Gain access to exclusive insights about GSK’s roles, projects and company culture., • Receive updates on training, development opportunities, and industry trends. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Inclusion at GSK GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. Important notice to employment businesses/agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting For the Record site.

Job title: Senior Full-Stack AI Engineer Location: GSK HQ Team: Enterprise AI - Data Science UK Contract: 6 months Overview GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together. Role Overview GSK are seeking a Senior Full Stack AI Engineer with a strong focus on frontend engineering, user experience and product delivery. You will lead the design and implementation of immersive, interactive web experiences that leverage large language models (LLMs) as core product capabilities. In this role you will collaborate closely with product, UX/design, ML research and platform teams to translate user needs into elegant, reliable AI-powered experiences, and drive agile delivery from prototype to production. Key Responsibilities • Deliver highly interactive frontends (involving text based and video based chat experiences) built with modern frameworks like React that integrate LLM-driven features (conversational interfaces, tool-assisted workflows, structured editors, visualizations) to boost marketing productivity., • Enable measurement / analytics to track usage of the app and of LLM features, • Own the end-to-end product experience for LLM-enabled features: collaborate with UX/design to craft flows, run rapid prototypes, and iterate based on user testing and analytics., • Integrate LLMs into the application stack, handling prompt design, response parsing, tool use, chaining, and RAG strategies while balancing latency, cost and reliability., • Implement frontend architectures and state management patterns that scale for complex, real-time, and collaborative UIs (React hooks, Context, Redux/Zustand/Recoil, server-state patterns)., • Build responsive, accessible, and performant UI components and design systems (component libraries, theming, design tokens) to ensure consistent product quality and fast iteration., • Implement real-time and progressive UX patterns (WebSockets, SSE, streaming LLM responses, optimistic updates, incremental rendering) that make AI interactions feel fast and human-centered., • Collaborate on frontend work with UX designers and researchers, follow standard coding conventions, and implement best practices for design, accessibility, testing and observability., • Work with backend and platform engineers to define APIs, ingestion pipelines, vector retrieval, caching and rate-limiting strategies that support robust LLM behavior., • Drive agile delivery: break down features into deliverable increments, run sprint planning, pair with the tech PM on prioritization, and ensure production readiness through CI/CD, feature flags and canary releases., • Define and instrument UX and model-level metrics (engagement, latency, hallucination rates, user satisfaction) and use those signals to prioritize improvements., • Ensure security and privacy are integrated into the UX (PII handling, consent flows, data minimization, redaction and access controls). Minimum Requirements • 6+ years building production web applications with proven ownership of user-facing features; significant experience in frontend engineering and product delivery., • Deep expertise with React (functional components, hooks) and modern frontend ecosystems including CI/CD., • Demonstrable experience building highly interactive, immersive frontends (rich state, animations, canvas/visualizations, streaming UIs or collaborative editing)., • Strong UX sensibility and experience working directly with designers to translate wireframes and prototypes to polished, accessible product UIs., • Hands-on experience integrating LLMs / generative models into applications (OpenAI, Anthropic, local/open-source LLMs): prompt engineering, response handling, safety guardrails, RAG architectures., • Good understanding of how large language models work, including transformer architecture, tokenization, attention mechanisms, decoder/encoder-decoder variants, fine-tuning/few-shot approaches, and common failure modes (hallucinations, bias, context-window limitations)., • Solid backend experience (Node.js/TypeScript, Python, or similar) to collaborate on APIs, authentication, ingestion, and retrieval layers — enough to design pragmatic interfaces and own cross-stack features., • Practical experience building retrieval-augmented generation pipelines (embeddings, vector stores, chunking/indexing)., • Proven track record delivering features in agile teams: sprint planning, incremental delivery, feature flagging, A/B tests and operationalizing metrics., • Strong software engineering fundamentals: testing (unit/integration/E2E), observability, performance profiling, and security-aware development., • Excellent communication skills and experience mentoring engineers and collaborating across product, design and ML teams. Preferred Requirements • Familiarity with LLM orchestration and tools (LangChain, LlamaIndex, Haystack, OpenAI/Anthropic SDKs)., • Advanced visualization/graphics skills or experience building interactive applications, • Experience with design systems and component libraries (Figma workflows, design tokens), • Background in regulated industries (healthcare, pharma, finance) with awareness of compliance and data governance constraints., • Contributions to open-source projects, public talks or technical writing about LLM-enabled UX or frontend engineering. How to Apply Please submit your CV via the application form. If your initial application is successful, one of our recruiters will be in touch. Should you reach this stage, you will likely be required to submit the following in addition to your CV: • One or two recent projects where you led the frontend/UX for an LLM-enabled product (provide links, screenshots, architecture diagrams or repos where possible)., • The primary UX decisions you made and why (trade-offs, accessibility/performance considerations)., • Key technical challenges you faced (model behavior, latency, security) and how you solved them. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Inclusion at GSK GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. If you need any adjustments in the recruitment process, please get in touch with our Recruitment team () to further discuss this today. Important notice to employment businesses/agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting ___ site.

Bachelors in Science (IT/Computer Science/Engineer).Designing and implementing the systems of the software.Load operations by using Extract Transform (ETL Process).Developing systems for collecting and processing the data.Should have the ability to research new methods for gaining valuable data and

We are looking for an AI engineer who wants to become the world’s expert in AI memory and context engineering. You should also be able to blend the long term thinking necessary in AI research with the urgency required for a startup to maintain the lead. AI memory and context engineering.

Job Title: AI/ML Research Engineer (London, UK).Our client (international) is a collection of engineers and designers who want the world to connect beautifully.Their team first came together to build one of the world's first Massive MIMO 5G networks from the first base station to the first 5G custom

We’re seeking a Deep Learning Engineer with an exceptional research pedigree, proven expertise in neural networks, and substantial industry experience with time series analysis and forecasting. Design, develop, and deploy advanced deep learning architectures for time series forecasting, decision i

Hybrid – London | Global FinTech Innovator Our client is an established yet fast-growing FinTech specialising in high-performance market data analytics. Their platform ingests and processes terabytes of global trading data daily, powering decision-making for leading investment firms, exchanges, and research institutions. They’re now seeking a C++ Engineer to join their equities data team, helping scale the next generation of data-processing systems within a collaborative engineering leadership team. This role ideal for someone who thrives on solving deep engineering challenges in C++. The Role • Development for the firm’s equities data processing platform, working alongside other engineers and a senior architect.., • Develop and refine C++ market-data parsers and processing engines that handle high-frequency and reference data at scale., • Enhance system performance, fault-tolerance, and scalability, leveraging modern AWS-based distributed infrastructure., • Participate in a light-touch support rotation to ensure smooth daily operation of the firm’s data feeds. About You • Strong C++ development experience on Linux, delivering robust, performant systems into production, ideally 2 years or more., • Solid Python capability for orchestration, data tooling, and process automation., • Experience with large-scale financial or market data, particularly equities or other exchange-traded products., • Familiarity with modern engineering practices — CI/CD, source control, automated testing, and containerised deployment., • Excellent communication, organisational, and problem-solving skills. Contact: For further details or a confidential discussion about this opportunity, please reach out to Ciara Clarke.

🚀 Full-Stack Product Engineer - AI-Powered Inspections Startup 📍 London Helping a well funded startup (backed by investors behind Stripe, Lime, Discord) revolutionize a billion-dollar industry still running on pen and paper. They're automating industrial inspections with AI - think factories, infrastructure, and critical safety assessments that currently waste billions due to manual processes. The role: • Build full-stack features solving real enterprise problems (TypeScript, Next.js, NestJS), • Own product decisions from user research to deployment, • Work directly with major TIC companies reshaping their operations, • Move fast - ship, iterate, and see immediate impact, • Get hands-on with customers (site visits to plants, factories, real inspections) You have: ✅ Strong full-stack skills (frontend + backend) ✅ Eye for design and product quality ✅ High agency - you figure out the 20% that drives 80% results ✅ Comfort with ambiguity and fast-paced environments Bonus: • Early-stage startup experience, • 0-1 product building (side projects count!), • B2B SaaS or enterprise product experience, • LLM/AI implementation experience Why this matters: This isn't another AI chatbot. You'll build something people genuinely need while working alongside future founders in one of London's best early-stage startup. Pre-Series A timing = massive upside potential 📈 Note: This role is fully in office at the moment as the team are rapidly building out their product. Ready to build? Apply now! #ProductEngineering #AIStartup #FullStack #TypeScript #London #StartupJobs #TechJobs #EnterpriseAI #B2BSaaS

As a GPU Software Engineer, you’ll be translating innovative research into high-performance, high-quality GPU compute solutions—playing a key role in delivering next-generation media technology to the market. Hybrid working, 3 days onsite and 2 days working from home. Key Skills & Qualifications: • Degree in Electronics Engineering, Computer Science, or a related field., • Proven experience in video processing or similarly performance-critical applications., • Hands-on experience with Vulkan or other modern GPU APIs., • Strong background in C/C++ development, both in building new systems and enhancing existing ones., • Translate high-level mathematical models and research into production-ready encoder implementations using C++ and GPU compute technologies., • Develop cross-platform solutions for operating systems including Windows, Linux, iOS, and Android., • Enhance, maintain, and expand existing codebases (C/C++/Python)., • Integrate third-party commercial and open-source software components., • Produce clear and well-structured technical documentation, including specifications, APIs, and integration guides., • Support external partners and customers in integrating SDKs., • Test and evaluate complex signal processing code to ensure performance and reliability in production releases., • Manage your own workload with accurate time estimates, effective task prioritisation, and a focus on high-quality design

This elite trading firm is seeking a Network Engineer to join a small, high‑impact engineering group supporting ML/AI‑driven trading and research. You will work closely with teams running massive simulation, HPC, and network production workloads that depend on ultra‑reliable, ultra‑fast netw

The Trading Infrastructure Support Engineer will be part of a highly talented team of support engineers responsible for ensuring high availability of Squarepoint’s mission critical services such Infrastructure as a Service (IaaS), Build & Deploy, Research and Trading. Trade Infrastructure/Reliabil

Machine Learning Engineer | Early Stage Deep Tech Start Up | London I am partnered with an early stage, London based start up that is building an AI native intelligence layer for private market investing. The platform transforms fragmented documents, deal histories, and proprietary investment data into structured, searchable intelligence for private equity, venture capital, and private credit teams. They are hiring a Founding Machine Learning Engineer to join at early stage, with real ownership over both the core technology and the product direction. This role suits someone with a strong academic background from a leading university, alongside clear evidence of success in high ownership projects: Responsibilities • Design and build machine learning models for document understanding, knowledge graphs, and data extraction, • Develop generative AI systems for research, summarisation, and investment memo drafting, • Solve complex problems involving unstructured and proprietary private company data, • Contribute to technical architecture and applied research direction, • Work closely with the founders on product decisions and feature delivery On offer • The opportunity to build a deep tech AI model and conduct original, applied research, • Founding engineer responsibility with high visibility and influence, • Hybrid working model in London, • Salary up to £70k plus substantial equity, • Genuine ownership over what is built from day one If you meet the above criteria and want to help build foundational AI technology within a small, ambitious team, please get in touch.

Join an innovative AI start-up transforming manufacturing – London This fast-growing technology company is building intelligent edge systems that bring AI-powered machine vision directly onto factory floors. The team are now looking for an Embedded Edge Systems Engineer to take ownership of the design, optimisation and productisation of edge platforms — spanning embedded hardware, Linux-based software and real-world deployment. You’ll work closely with AI, hardware and deployment teams, helping turn cutting-edge research into robust, scalable systems deployed across customer sites. For this Embedded Edge Systems Engineer role, we are looking for someone with: • Strong experience building and shipping embedded or edge systems end-to-end, • Solid experience with Linux-based embedded platforms, • Hands-on experience with edge hardware such as Raspberry Pi, Nvidia Jetson, cameras or similar, • Ability to work close to hardware — installation, optimisation and troubleshooting, • Experience supporting OTA updates and system reliability in the field, • Ideally, experience with video pipelines, machine vision or high-throughput data systems Please note, you must have full unrestricted working rights in the UK for this position - VISA sponsorship is not possible What Next? If you’re an engineer who enjoys working at the intersection of hardware, embedded software and real-world deployment, then please apply today to learn more! For more information on this role, or any other jobs across Embedded, Edge Computing, Linux, IoT or Systems Engineering, please contact me, Callum Allen, today.

If you are a Front End-leaning Principal engineer who wants to combine your experience in web and AI to help unlock other engineering teams, this might be the role for you. This role will also be an opportunity to apply AI to real-world problems inside a healthy, profitable, and rapidly growing business. No need for start-up chaos. This business already has millions of customers and has built an engineering culture that ensures those customers experience a speedy, seamless online experience every. single. time. You will help them stay ahead of the curve by solving both technical and sociotechnical problems. You would be joining a squad of Principal engineers with different expertise that serves as a centre of excellence to the 16+ engineering teams in the wider engineering function. Your domain? Everything front-end. What are the challenges here? • Culture. Embody the standards of the existing engineering culture and help firmly embed them across the different teams. Showcase technical excellence by doing is the idea., • Technical. How to build systems that deliver delight for millions in a way that feels as if everything is built for the individual., • Innovation. How will they remain the top-of-mind business in their domain when customers use AI instead of Google to do their research?, • AI (External) how to build amazing hyper-personalised journeys for millions of customers in near real time., • AI (Internal) how to apply the efficiencies of AI to how teams build and deliver front ends FAQ's • Salary? Up to £145 000 + 20% bonus, • Flexible working? Hybrid: 3 days a week (TWT) in a London office Does that sound like your next role? If yes; Send me an email to with “Straight to the Principal's Office” in the email title. In 2 lines, tell me about the impact you have had in your current role, and include a CV. A link to your LinkedIn profile is more than fine if you have not written a CV yet. All CVs received this way will be reviewed by a human and get a reply. LinkedIn applications may not be all be reviewed.

Do you want to build production GenAI systems used daily by legal professionals globally? Are you interested in shipping AI products end to end? Are you excited by complex, high-precision problems where quality truly matters? A fast-growing LegalTech AI scale-up is applying GenAI across the full intellectual property lifecycle. Their platform is used by IP teams globally to automate drafting, litigation workflows, and document analysis. With over £50m in funding from institutional investors, and rapid revenue growth into eight figures, the company is scaling aggressively. The role They are hiring AI Engineers to design, build, and deploy production-grade GenAI systems in a high-stakes legal environment. This is a deeply hands-on engineering role focused on shipping reliable systems used by real customers. Key responsibilities • Build and deploy LLM-powered features across drafting, prosecution, and litigation workflows, • Design and maintain RAG pipelines over large, complex legal and technical corpora, • Own systems from prototype through to production, • Focus on robustness, evaluation, and reliability in precision-critical use cases, • Collaborate closely with full-stack engineers and domain experts What they’re looking for • Strong AI research background with top publications or a strong software engineering background, • Excellent production engineering fundamentals regardless of background, • No data-science-heavy profiles, • Comfortable being scrappy and hands-on in a fast-scaling environment, • Ideally 2+ years of experience, but open to exceptional graduates or more senior engineers, • Infrastructure or deployment experience (AWS, Terraform) is a bonus, • Happy working onsite five days per week Tech stack • Python, FastAPI, • React, TypeScript, • Postgres, • AWS, Terraform Compensation & details • up to £185k base + equity (flexible for exceptional profiles), • Visa sponsorship available, • Standard pension, • Five meals per week provided in office, • Location: City of London, • Working policy: in-person, five days per week Interested? Please apply below.

About Us We are a VC-backed startup focused on hyper-personalisation, currently in stealth. Inspired by the latest in recommender systems, we leverage transformers and graph learning alongside decision-making models to build the most engaging customer experiences for in-store retail. Our mission is to change retail forever through hyper-personalised experiences that are both simple and beautiful. About the Job – Machine Learning Engineer We are looking for a Machine Learning Engineer with strong software engineering fundamentals to join our team of domain experts and researchers. You will be responsible for building robust, scalable ML systems that bring our foundation models for retail from prototype to production. Key Responsibilities • Design and build production-grade ML infrastructure, including training pipelines, model serving, and monitoring systems., • Collaborate with research engineers to translate experimental models into reliable, maintainable software., • Optimise ML systems for performance, scalability, and cost-efficiency in cloud environments (distributed clusters, GPUs)., • Month 1: Onboard to existing ML codebase and infrastructure; identify technical debt and reliability gaps; ship incremental improvements to model serving latency or pipeline robustness., • Month 3: Own and deliver a major infrastructure component (e.g., feature store, training orchestration, or model registry); improve system observability with logging, metrics, and alerting., • 3–5+ years building and maintaining ML systems in production environments, • BSc or MSc in Computer Science, Software Engineering, or a related field, • Strong software engineering skills: clean code, testing, debugging, version control, and system design, • Proficiency in Python with experience in ML frameworks (PyTorch, TensorFlow, or JAX), • Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes), • Experience with MLOps tooling (MLflow, Kubeflow, Weights & Biases, or similar), • Building data pipelines (real-time or batch) using tools like Apache Spark, Kafka, Airflow, or dbt, • Familiarity with recommender systems, transformers, or graph neural networks, • Opportunity to build technology that will transform millions of shopping experiences., • Real ownership and impact in shaping product and company direction., • A dynamic, collaborative work environment with cutting-edge ML challenges., • Competitive compensation and equity in a rapidly growing company.

Robotics & Computer Vision Engineer Location : London Salary : £50,000 - £80,000 + Equity About the Role We are seeking a Robotics Software Engineer to design, develop, and optimize intelligent robotic systems that tightly integrate perception and control. This role focuses on building reliable, real-time software that enables robots to perceive their environment and act on it effectively in real-world scenarios. You will work across robotic control, perception, and simulation, contributing to systems that move from research and prototyping to deployment on physical robots. Responsibilities • Design and implement robotic control software that bridges perception and actuation, • Integrate computer vision and perception systems with robotic control pipelines, • Develop and maintain simulation environments for testing and validation, • Implement and deploy real-time computer vision algorithms for robotic applications, • Optimize system performance for low-latency, real-time operation, • Collaborate with cross-functional engineering teams on end-to-end robotic systems, • Research and prototype new approaches to robotic perception and visual understanding, • Debug, profile, and optimize complex software systems for real-world deployment Requirements • Strong programming skills in C++ and Python, • Experience with ROS and real-time robotic systems, • Understanding of robotics fundamentals and control theory, • Strong background in computer vision and image processing, • Experience with OpenCV and PyTorch or TensorFlow, • Experience building or optimizing real-time systems, • Strong debugging and performance optimization skills Nice to Have • Experience with robot hardware integration, • Knowledge of motion planning algorithms, • Familiarity with embedded systems, • Experience with ROS2, • Knowledge of 3D vision techniques, • Prior experience applying computer vision in robotics contexts, • Publications in top-tier computer vision or machine learning conferences

This role is with one of Dex’s trusted Partner companies. We work closely with their teams to truly understand their culture, goals, and what they’re looking for, so we can match you with the right opportunity for your goals! If you’re interested, apply here, or head to the website, where you can sign up and speak to Dex. After your call, you'll be sent the full match details. We’ll help manage your applications, and find other great matches to work you'll love. The Opportunity Dex is partners with some of the world’s most prestigious quantitative trading firms and systematic hedge funds. These organizations operate at the absolute bleeding edge of technology, treating the global financial markets as a complex data science problem. They are deploying massive compute clusters and proprietary machine learning models to trade billions of dollars daily. If you're an engineer who cares about nanoseconds, cache locality, and architecting petabyte-scale infrastructure, this is the pinnacle of technical challenge. What You’ll Work On • Architect Low-Latency Infrastructure: Design and implement the critical path for trading execution, building order management systems and market connectivity layers where performance is measured in microseconds., • Scale Data Pipelines: Engineer elegant, distributed systems capable of ingesting and processing petabytes of market and alternative data, ensuring absolute consistency for research teams., • Operationalize Machine Learning: Bridge the gap between research and production by deploying complex ML models into live environments under strict latency constraints., • Optimize the Stack: Go "close to the metal" to optimize performance across networking, I/O, and compute layers, squeezing maximum efficiency out of hardware., • Build World-Class Observability: Create robust monitoring and telemetry systems to provide real-time insights into pipeline health, trading activity, and model behavior., • Work with the Best: Work side-by-side with world-class researchers and mathematicians to translate theoretical strategies into production-grade code. What You'll Have • Polyglot Mastery: Exceptional command of at least one major systems language (C++, Rust, Java) for low-latency components, or Python for data and ML workflows., • Distributed Systems Expertise: Deep experience building high-throughput, fault-tolerant systems using modern messaging standards (e.g., Kafka, ZeroMQ, NATS)., • Systems-Level Intuition: You are comfortable debugging and profiling at the OS level, understanding memory management, CPU architecture, and network stack optimization., • Data Infrastructure: Familiarity with the modern data stack, including time-series databases, object stores, and streaming frameworks like Apache Flink or Spark Streaming., • Engineering Rigor: You write clean, testable, and reliable code. You understand that in this environment, a system failure can cost millions in seconds., • Bonus - ML Engineering: Experience with model serving, feature stores, or integrating ML pipelines into live production systems is highly valued. (Note: Previous finance experience is not required). To be considered for this role and others like it apply directly, or sign up to Dex and we'll help find the work that matters to you!

At Solve Intelligence, we aren’t just "using" AI - we are building the proprietary algorithms that define the future of Intellectual Property. We have real paying users, massive traction, and a mission to build a billion-dollar company. 🏗️ The Role: AI Engineer We are looking for a super-talented engineer to help us build state-of-the-art AI products extremely fast. You will lead the development of algorithms that push the envelope of what is possible with LLMs. What you’ll own: • Production-Ready AI: Develop and deploy proprietary algorithms that significantly increase the quality of generated patents., • SOTA Evaluation Pipelines: Build a robust, high-scale evaluation framework to benchmark our proprietary models and steer the direction of our R&D., • Advanced Prompt Engineering: Research and implement cutting-edge prompting methods to maximize model efficacy., • Full-Stack Impact: While focused on AI, you’ll work across the stack (Python, Postgres, React) to ensure our research translates into a seamless user experience. 💡 About Solve Intelligence We are the fastest-growing startup transforming the IP landscape. Our AI platform manages everything from invention harvesting to patent generation. • Growth: 20-30% MoM revenue growth; selling to 300+ global IP teams (DLA Piper, tech giants, and boutiques)., • Impact: Users report 50-90% efficiency improvements., • Backing: Recently featured in______ following our $40M Series B announcement, bringing our total funding to $55M from elite investors including Y Combinator, 20VC, Visionaries and others. 👋 Co-Founders & Team You will work directly with a founding team of AI PhDs and elite engineers: • ___ (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired)., • ___ (CEO): PhD in AI (UCL), published researcher, ex-Dyson and Alan Turing Institute., • ___ (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard). 🚀 Who You Are We are a young company of highly motivated "hackers" building at a relentless pace. • Speed is your default: You want to put things in the hands of customers in days, not months., • You are a grinder: You have a strong work ethic and are willing to go the extra mile (long nights/weekends) to achieve excellence., • You are an optimist: You thrive in a high-energy, positive environment and take extreme ownership of your outcomes. 🛠️ What You Bring Must-Haves: • Expert Python Skills: Deep experience building and shipping AI solutions., • Production Experience: A history of shipping algorithms and/or evaluation pipelines into live environments., • LLM Mastery: Practical experience with prompt engineering and modern LLM architectures., • Technical Versatility: Familiarity with the full stack (Postgres, TypeScript, React)., • Clear Communication: Ability to articulate complex technical decisions clearly. Nice-to-Haves: • Publications at top ML conferences (NeurIPS, ICLR, ICML)., • Familiarity with frameworks like OpenAI Evals., • A history of interesting GitHub contributions or "impressively difficult" side projects. 🎁 What We Offer • Competitive Salary + Significant Equity: We want you to have true ownership in our success., • Growth: Opportunity to work with a world-class team on a genuine rocket ship trajectory., • Support: Full visa sponsorship and private medical insurance., • The Goods: Free meals and a high-performance office culture in London. Ready to build the future of AI? Apply now. 🚀

We're partnered with a Series A startup creating a new category of AI software that helps companies automate operations by capturing and operationalising their institutional knowledge. The team is engineering-led, with a culture built on technical rigor, ownership, and sustainable impact. This role sits at the intersection of applied AI research and production engineering - a role that is ideal for builders who want to push the boundaries of what's possible with LLMs while shipping real systems that customers depend on. The Opportunity: As AI Engineer, you'll be responsible for the design and deployment of LLM-powered systems that solve genuine operational challenges. Your work will span the full development cycle: from prototyping and experimentation to production deployment, monitoring, and continuous improvement. You'll need to be versatile - you might be refining an evaluation harness; the next, scaling async workflows or investigating why an agent made an unexpected decision in production. Responsibilities: • Design and implement LLM-based systems and agentic workflows that solve real customer problems, • Build robust evaluation frameworks to measure, track, and improve model behavior, • Develop scalable asynchronous systems for AI orchestration and task execution, • Work on RAG pipelines, multi-agent architectures, and production LLM infrastructure, • Collaborate across engineering, research, and product to define what gets built, • Shape AI strategy and contribute to long-term technical direction About You: • Proven experience building and shipping production AI systems (not just prototypes), • Strong foundations in machine learning and deep learning principles, • Hands-on experience with LLMs, agents, RAG systems, or large-scale inference pipelines, • Comfort moving between research papers and production codebases, • Natural curiosity, strong sense of ownership, and drive for continuous improvement Research indicates that men will apply to a role when they only meet 50-60% of the descriptions, however, when looking at women and other minority groups, they can look for up to a 99% match in order to apply to a role. If you feel you are a fit for our role, please still apply, don’t worry if you don’t tick every single box. We’d still love to hear from you. We encourage underrepresented talent to apply to all our roles & support accessibility needs.

An exciting opportunity for a Forward Deployed Engineer has arisen with a rapidly growing AI company transforming manufacturing, based in London. This is a unique opportunity for a Forward Deployed Engineer who thrives on variety and real-world problems to deploy and support the AI systems on factory floors across a range of industries, owning the customer journey end to end. This a highly collaborative, customer facing role, working closely with research and engineering teams. You should expect to travel to customer sites and trade shows cross the UK and internationally, with no 2 weeks looking the same. You will commit to an onsite working model, required in the office when not out at customer site. Experience of the Forward Deployed Engineer will include: • Strong engineering background, • Experience deploying or supporting software and hardware systems, • Comfort working directly with customers and acting as the face of the company, • Ability to quickly understand unfamiliar manufacturing processes, • Experience taking projects from concept to deployment (startups a bonus), • Bonus: background in manufacturing, automotive, aerospace, or industrial systems If you’re a Forward Deployed Engineer looking for a high-impact role at the intersection of AI, hardware, and manufacturing, please apply today to learn more.

About the role I’m working with a well-funded early-stage BioAI startup applying machine learning to a hard, underexplored biological problem with real implications for climate resilience and food security. They’re building an ML-first platform where research doesn’t sit in isolation. Models are expected to ship, be used by scientists, and influence real experimental decisions. They’re looking for an ML Engineer who: • Has a strong grounding in modern ML (generative models, representation learning, geometric deep learning, etc.), • Has expertise in building and managing ML infrastructure for large-scale training, inference, and deployment, • Has worked with biological or molecular data in some form… proteins, molecules, structure, interfaces, • Can work closely with chemists and biologists, and actually make the models useful, • Has experience delivering in a fast-paced environment You don’t need prior experience in the exact problem space. Almost nobody has. Adjacent domains and an engineering mindset matter more than perfect overlap. Fully remote (UK), with 1/4ly London meetups, long runway, real scientific ownership. Salary: £90,000 - £120,000 + generous equity

Who We Are Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world’s largest, with nearly 300 million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours. We are feeding the world’s curiosity! Job Description Our vision for the role We are searching for an experienced Senior Cloud Infrastructure Security Engineer with an unquenchable thirst for automation and a passion for DevSecOps methodology. You'll be working with a team of other engineers to build out and secure our expanding cloud infrastructure in AWS. While this is a hands-on engineering position (not a CISO or a consulting role), you will need the confidence and gravitas to heavily influence engineers and managers across a wide technical function. The team holds itself accountable to a high standard of build quality. We have recently completed the first major phase of a completely green-field infrastructure and platform rebuild that is designed to underpin Cint’s business applications for the next decade, while scaling to support a 10-fold growth in revenue. We are compulsive about infrastructure as code (nothing in our platform is created or deployed unless via a code change) and driven to achieve a full end to end continuous deployment pipeline. Major elements of our platform include AWS (we make significant use of S3, RDS, Kinesis, EC2, EMR, ElastiCache, ElasticSearch and EKS). Elements of the platform will start to expand into GCP (Compute Engine, Cloud Storage, Google Kubernetes Engine and BigQuery). Other significant tools of the platform include Linux, Terraform, Kubernetes, Docker, Packer, Ansible and Jenkins. We support applications and services written in Golang, Python, Java, Scala and .Net. We monitor and alert on everything we deploy via Grafana, Prometheus, Graphite and ELK stacks. You will be someone that shares our values and ambitions and can bring security best practices and specific cloud security expertise to the party. You will additionally be the kind of person that is energised by complex challenges, teamwork and problem solving. In return, we can offer a great tech culture, highly competitive compensation packages and employment benefits. Qualifications Responsibilities • Work as part of the Infrastructure team defining and improving our general security posture across legacy and green field resources including data, applications and networks, • Provide point of expertise on application, data and network security to our wider engineering teams - engaging with them in order to ensure consistent adoption of security policies and best practice, • Participate in the automation of software to our cloud platform and embed security into our methodology, embracing DevSecOps, • Improve our monitoring and alerting systems to enhance them with specific and relevant security data points, • Participate in an on-call rotation and assist with troubleshooting issues that arise, • Three years or more experience in Cloud Infrastructure roles (predominantly AWS) working within teams that practice DevSecOps, • Ability to interact comfortably with AWS via CLI and/or API, • Proficient in managing Infrastructure exclusively with Terraform, • Specific expertise in threat assessment, attack surface management, data security, the network stack at L4 and L7, DNS, VPC security, IGW, WAF and CloudFront, • Experience designing and managing IAM policies, roles and trust policies, • Good knowledge of most of VPN, MFA, SAML, OAuth2, KMS and TLS, • Good knowledge of some IdP (Okta, OneLogin, Auth0) frameworks and integrations, • Experience building and running Docker images/containers securely, including container orchestration security, • Experience of code security audit, static and dynamic analysis, defensive programming techniques and visualisation and measurement of security KPIs, • Expertise in at least one scripting or programming language (Python, Bash, Ruby, Node, Golang, Java), • AWS Certified Security Specialist, • Hands on experience designing and implementing security controls within GCP, • Experience defining and operating a Security Incident Response process, • Good knowledge of monitoring and alerting using one or more of: Graphite, Statsd, Prometheus, Grafana, OpenSearch, • Any experience of ISO27001 certification processes, • Understanding of “cloud native” and 12-Factor applications, • Offensive or defensive penetration testing experience Additional Information Our Values Collaboration is our superpower • We uncover rich perspectives across the world, • Success happens together, • We’re pioneers in our industry, • Our curiosity is insatiable, • We’re accountable for our work and actions, • Excellence comes as standard, • We learn from each other’s experiences, • Stop and listen; every opinion matters, • We embrace diversity, equity and inclusion. More About Cint We’re proud to be recognised in Newsweek’s 2025 Global Top 100 Most Loved Workplaces®, reflecting our commitment to a culture of trust, respect, and employee growth. In June 2021, Cint acquired Berlin-based GapFish – the world’s largest ISO certified online panel community in the DACH region – and in January 2022, completed the acquisition of US-based Lucid – a programmatic research technology platform that provides access to first-party survey data in over 110 countries. Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. () Additionally, in a world of AI, we want our candidates to understand our approach to the use of AI during the interview and hiring process, so we'd appreciate you reading our ___.

Fire – Principal or Associate Engineer Glasgow, Bristol, Manchester or London Competitive salary + benefits We have an exciting opening for a Principal or Associate Fire Engineer to join our firm in our Glasgow, Bristol, Manchester or London offices. About us Hoare Lea is a human-centric and planet-conscious engineering consultancy. We offer intelligent and sustainable solutions to complex design challenges for the built environment throughout the UK and further afield. We provide a wide range of engineering and consultancy services, including acoustics, air quality, building services (MEP), fire, lighting, security and sustainability to name but a few. Together, our highly skilled teams use technical expertise and problem-solving skills to bring buildings to life. We ensure that whatever the building, its design is outstanding, and its operations meet the needs of the communities it serves. We are as committed to providing an environment where everyone can realise their unique potential. So, in joining Hoare Lea, you will experience a business that enriches your knowledge, supports your wellbeing, and welcomes your individuality. You’ll have the opportunity to participate in our 9-day fortnight scheme, thriving community groups, varied social and networking events, and extensive professional and technical development schemes. We also offer an extensive benefits package, including private medical cover, electric vehicle salary sacrifice scheme, stock options, and up to 30 days of annual leave. Whatever your ambitions or circumstances, our aim is to enable everyone to develop their knowledge, give their best, and enjoy what they do. Hoare Lea’s Fire Engineering group is a leading team of experienced fire safety experts, many of whom are Chartered Engineers through the Institution of Fire Engineers. Being part of one of the UKs largest building engineering consultancies, we benefit from collaborating with some of the best engineers in the business, with access to state-of-the-art technical support, and have the opportunity to work on some of the UKs largest and most high profile projects as part of a multi-disciplinary team. However, the fire team also works independently on fantastic projects, with many in our team having developed long-term relationships with many great clients. Heathrow’s Terminal 2, Doha’s new metro, the vast £1billion Elephant and Castle redevelopment in London, the extension to the ExCeL centre and the Royal Hospital for Children and Young Persons in Edinburgh are examples of some of the amazing projects where we have led the Fire Engineering design with other Hoare Lea disciplines. As part of long standing Fire Engineering relationships with external clients, we have led the fire safety design on seven of Manchester’s ten tallest buildings (including the UKs tallest residential tower), developed the current fire strategies for most of the UKs largest airport terminals, and designed two world cup stadia. A particular area where we have invested heavily is training and research. We have numerous research groups within the team to ensure that we remain at the cutting edge of our discipline; this includes computational and numerical modelling, emerging fire risks, new techniques and even fire testing – we recently led the design and implementation of two of the world’s largest ever cross laminated timber (CLT) compartment fire tests in France, to successfully validate our detailed calculations for a highly sustainable timber office building project. In addition to Hoare Lea’s best-in-class training, the fire group have developed extensive additional training and development opportunities – weekly training sessions for everyone, regular training away-days, innovation days and access to external training and conferences. We place a particular emphasis on enabling our team to achieve Chartered Engineer status – we have developed a programme for this and numerous fire engineers have obtained their CEng with us over the years. This is all enabled by our very experienced and highly qualified team. We are active in a number of key organisations such as the Society for Fire Protection Engineers (SFPE), Smoke Control Association, BSI Group and Institution of Fire Engineers. Why Work For Us? The Fire Engineering group’s strategy is simple, we want to do world-class fire engineering on the best projects with great clients. We want the team to enjoy the projects they do and who they work with, so our portfolio is of high quality, varied and really interesting. As part of Hoare Lea’s larger team of built-environment specialists, we have access to some of the UKs largest and highest profile projects. However, we also work independently and have developed long-term relationships with some great clients – there is no greater personal satisfaction from winning repeat projects from clients who think you’ve done a great job and like working with you. We are strong because we recognise that everyone has different skills to offer – our team includes ex fire service, building services and building control professionals, and engineers with degrees in physics, mechanical engineering, chemical engineering, materials science, forensics – oh, and fire engineering. The opportunities we provide for training and development are second-to-none. We invest significantly in this, and our aim is to ensure our team can achieve Chartered Engineer status. We have a highly experienced and qualified team to ensure that this can happen. We really want everyone to have the right work-life balance and to enjoy their work. We enable this by having a great benefits and flexible working package – including the ability to work a 9-day fortnight, and by choosing only the best projects for great clients, supported by extensive training and experienced colleagues. We are a really friendly, supportive and inclusive team, and enjoy numerous socials with our office colleagues and with the fire engineering team. The Role • Hoare Lea’s Fire Engineering team focuses on the fire safety design of buildings., • We work with colleagues within Hoare Lea as part of a multi-disciplinary team, and also have a significant portfolio of long-term external clients., • Our projects are principally based in the UK, and a detailed understanding of UK regulations and design guidance is desirable., • Able to work with, and have an appreciation of the integration of, other construction professionals’ requirements for the project., • Ensuring open communication among all project team members so that feedback is provided and acted upon efficiently in a timely manner., • Attending design team meetings, design workshops, client meetings and site meetings., • Travel to clients or projects in the UK, and occasionally internationally, according to project demands., • Working knowledge of software analysis tools – evacuation, smoke and fire modelling, heat radiation models and structural fire modelling. What We Are Looking For • Experience working within a fire engineering consultancy role., • A relevant degree or equivalent qualification in Engineering, Building Services, Maths, Architecture, or Physics, with a keen interest in Fire Engineering. You will have a good technical knowledge in the primary discipline of fire safety design., • You will be IT literate with a working understanding of fire modelling software analysis tools., • You should have excellent communication skills and an interest in working in a team environment., • You will have the ability and commitment to effectively deliver to demanding timescales, and have good organisational and planning skills. How to apply To apply simply complete a CV profile and submit your application, or for further information please contact . If shortlisted, one of our recruitment team will be in touch to arrange a introductory call (about 30 minutes) to discuss the role and your experience in more detail. From there, successful candidates will be invited to attend a panel interview, either via Microsoft Teams or in person at one of our offices. Adjustments and accommodations If there are adjustments or accommodations that we can put in place to help you participate and give your best at any stage of the recruitment process (whether relating to disability, neurodivergence or anything else) please let us know. Data privacy We have updated our terms and conditions for candidates, click here to find out more. Recruitment agencies We have a Preferred Supplier List of trusted partners who assist us when required. We do not acknowledge speculative CVs or unsolicited candidate introductions from agencies not on the list.

Software Engineer London / Hybrid | Perm Role £80,000 - £100,000 Harrington Starr has partnered with a fast-growing fintech that’s transforming how businesses manage foreign exchange and treasury operations. Their technology enables clients to access institutional-grade execution, automate manual workflows, and gain greater transparency across their financial processes. Handling billions in transactions each year, they continue to expand their product offering and deliver cutting-edge solutions that help clients manage risk more effectively. The Role This is an excellent opportunity for an experienced Software Engineer — ideally with a background in financial technology or FX — to join a high-performing engineering team within a scaling fintech. You’ll be instrumental in developing and enhancing the company’s core trading and treasury systems, building new features, improving performance, and driving integration across their technology stack. Key Responsibilities • Develop and maintain software across the full stack, • Contribute to architecture and design decisions, • Support, optimise, and maintain production code, • Research and integrate new technologies, • Foster a culture of engineering excellence and continuous improvement Key Requirements • 5+ years’ experience working with C#/.NET, • Experience developing front and middle office systems, • Strong SQL skills, • Experience with cloud-native solutions (Azure or AWS), • Knowledge of event-driven, microservices architectures, • Full SDLC experience — from design through delivery and support Key Benefits • Join a fast-scaling fintech building next-generation financial technology, • Work on complex, high-impact systems handling large-scale transactions, • Collaborative, innovative, and growth-oriented team culture, • Hybrid working model with flexibility and autonomy Please apply via the link provided or reach out to me directly to book in a confidential phone call -

The Challenge Cardiometabolic conditions will impact 80-90% of people throughout their lifetimes, representing the leading cause of death globally and an important risk factor for neurodegenerative diseases and cancer. Sustainably addressing these diseases requires breakthrough therapeutics, AI/ML innovation, and transformative business models that translate clinical outcomes into economic value. The Opportunity This is an opportunity to build the ML and AI foundations of Onsera Health's breakthrough healthcare platform. Backed by Population Health Partners (PHP)—the proven venture platform behind Metsera and Corsera Health—we're building the future of population health management. As a Senior Machine Learning Engineer, you will sit at the intersection of data science, platform engineering, and production systems. Your mission is to design and operate the foundations that allow ML, analytics, and agentic AI systems to move safely and reliably from experimentation into regulated healthcare production environments on Google Cloud Platform. You will be the primary interface between Data Science and Platform Engineering, enabling rapid iteration while enforcing production and compliance standards. Responsibilities • Design and implement Onsera's agentic AI platform – architect LLM/agent framework selection, standardized patterns for tools, memory, guardrails, evaluation, and observability, • Define MLOps protocols for agentic systems – environment separation, versioning of prompts, tools, and policies, cost controls, rate-limiting, and fail-safe mechanisms, • Bridge data science and platform engineering – translate experimentation needs into GCP infrastructure, scalable compute patterns, and reproducible development environments, • Productionize data science code – convert research-grade notebooks into tested, modular, production-grade Python services, batch and streaming pipelines, and scheduled workflows, • Build production-grade data pipelines – develop idempotent, observable, and cost-efficient pipelines using BigQuery, Airflow, Google Workflows, and Cloud Run, • Implement CI/CD for ML workloads – automated validation, monitoring, rollback strategies, and model lifecycle management, • Mission-driven work addressing critical public health and healthcare economics challenges, • Ground-floor opportunity to build the ML/AI infrastructure for a breakthrough healthcare platform, • Partnership with a world-class team of industry leaders, innovators, technologists, bioscientists, and clinicians from PHP and beyond, • A fast-paced, dynamic, and highly collaborative work environment, • Competitive salary and benefits package, including participation in our equity program Minimum Qualifications • 5+ years of experience in machine learning engineering, data engineering, or a related field, • Strong Python engineering skills with production-quality, typed, and tested code, • Track record productionizing ML models in batch and/or real-time environments, • Hands-on experience with analytical data warehouses (BigQuery or equivalent) and workflow orchestration (Airflow or similar), • Experience deploying ML systems on GCP, including Cloud Run, GCS, and IAM, • Infrastructure-as-Code experience (Terraform or equivalent), • Experience with feature engineering, model lifecycle management, and ML evaluation, • Experience with LLMs, agent frameworks, or AI orchestration systems in production, • Familiarity with prompt management, tool calling, evaluation, and AI safety patterns, • Healthcare or regulated-industry experience, including familiarity with HIPAA or SOC-2 compliance, • Experience with claims data, EHR-derived datasets, or real-world evidence We are an early-stage health AI company revolutionizing cardiometabolic care and population health economics connected to weight loss. Our unique position within the PHP ecosystem provides: • Venture track record: A proven track record of success in building biotech and healthcare companies, • Deep capital: Funding and resourcing to support deep tech and scientific R&D—and to drive growth, • Strategic guidance: Direct access to industry pioneers (including founders of The Medicines Company and Metsera), healthcare experts (including leaders in virtual care, former FDA commissioners), strategists (McKinsey/QuantumBlack alumni), and world-class scientific talent, • Expert network: Established connections across pharma, payers, and providers Population Health Partners (PHP) is a premier investment firm established in 2020, aimed at transforming health outcomes for large populations. With offices in New York and London, PHP combines financial resources with industry-leading capabilities and technology. The firm's incubation portfolio includes Metsera and Corsera Health. Leadership: Led by industry veterans including Clive Meanwell (The Medicines Company), Chris Cox (The Medicines Company), and Whit Bernard (Metsera), bringing decades of founder experience and operational excellence in biopharma and healthcare, and Roy Berggren, 30+ year McKinsey Healthcare leader.

FOUNDING DATA ENGINEER REMOTE (OPTION TO RELLOCATE) £110K + EQUITY THE COMPANY This innovative AI start up is redefining safety and reliability in AI models. While competitors like GPT and DeepMind struggle with hallucinations and illegal content generation, this company adds safety control layers to ensure AI outputs are trustworthy and compliant. Working with high-profile, they’re building AI models that can even generate entire websites. As a Founding Data Engineer, you’ll be at the heart of their mission—building real-time data pipelines from scratch to power their cutting-edge AI research. THE ROLE As the Founding Data Engineer, you’ll design and implement real-time data pipelines that feed high-quality data to their AI research team. This isn’t about ETL maintenance or analytics. t’s about building scalable, high-throughput systems that handle millions of events per day. You’ll work autonomously, collaborate closely with the ML/AI team, and help shape the company’s data architecture as they expand. Specifically, you can expect to be involved in the following: • Technical tasks: Building real-time streaming pipelines using AWS (S3, PostgreSQL), with a focus on scalability and performance., • Other key responsibilities: Maintaining internal systems, choosing modern data tools, and ensuring seamless collaboration with the AI research team. SKILLS AND EXPERIENCE The successful Founding Data Engineer will have the following skills and experience: • Proven experience building data pipelines from scratch, with a focus on real-time streaming ingestion., • Strong SQL, data architecture, and storage design skills., • Experience with cloud environments (AWS preferred, GCP acceptable)., • Ability to choose and implement modern data tools independently., • Experience with high-throughput systems (millions of events/day is ideal)., • Strong collaboration skills with ML/AI teams—understanding their data needs is critical., • Autonomy, problem-solving, and excellent communication—this is a founding role. BENEFITS The successful Founding Data Engineer will receive the following benefits: • £110,000 salary + equity., • Relocation support to Paris (or future offices in London/ Netherlands)., • Quarterly in-person meetups in Paris (travel covered)., • The opportunity to shape the data infrastructure of a fast-growing AI startup, working with industry leaders. HOW TO APPLY Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.

Applied AI Engineer Location: Bristol or London (In-person + hybrid option) Employment Type: Full-time Start Date: June-September 2026 Salary: £35,000 to £55,000 Application: Rolling About GenFinance.AI GenFinance.AI is the UK's emerging leader in bringing generative AI to finance and accounting professionals. Our mission: To accelerate the world's finance professionals through rapid, reliable and responsible AI. We work with the institutions that matter: the ICAEW, finance teams in £20m to £150m businesses, and accounting practices navigating the AI transition. We do not build AI models. We deploy them, train people to use them, and advise leadership on adoption strategy. Since launching in June 2024, we have achieved 72% operating margins and repeat contracts with blue-chip clients. Our work includes developing the ICAEW GenAI Accelerator Programme, accessible to 200,000+ members with 250+ videos and 500+ practical use cases. We are building the founding team that will make GenFinance the definitive name in AI for finance. About the Founder Peter Beard has over ten years of experience in finance and accounting. At Ernst and Young (EY), he managed a range of audits (including FTSE and EURO Stoxx 50-listed), contributing to EY's AI research and leading technology transformation projects. Peter was awarded twice by EY UK for his "Significant contributions to innovation initiatives" and "Exceptional technical proficiency and quality commitment". The ICAEW GenAI Accelerator Programme has been produced in collaboration with Peter and GenFinance.AI. He now sits on two ICAEW Advisory Boards (Audit and Assurance Faculty, Members and Commercial Board) and is an Advisory Board Member for the FD Show launching at ExCeL London in 2026. He holds a Perplexity AI Fellowship, connecting him with leaders from Perplexity, Nvidia, Ramp, and other technology companies. LinkedIn: linkedin.com/in/peterbeardaca What We Believe Rapid, reliable, responsible Generative AI needs all three to be successfully implemented. Miss one and it fails. We do not compromise on any of them. Trust is a precious commodity In finance and accounting, trust is the currency that matters most. It takes years to build and seconds to destroy. Everything we do must earn, protect and extend that trust. Speed of thought Generative AI is the step closer for humans to work at the speed of thought. That is the standard we are building towards. From cost centre to value maker Finance teams should make money, not just count it. We help them make that shift. First principles thinking This is the bedrock of effective decision making. No assumptions. Solve from the ground up. The back office is neglected Everyone is chasing the prize for the front office. Meanwhile, the back office of GenAI adoption is largely ignored, despite real demand from business owners. That is where we focus. Lasting change, not demos Value is created through lasting work with customers that truly changes their results and work patterns. It means they can go home slightly earlier. It means they can take that project off the shelf because they have saved the time. It means they can cut prices to consumers so everyone benefits. That is what success looks like. How We Work We operate with a flat organisational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritisation skills are important. This is not a place where you wait to be told what to do. If that does not excite you, this is not the right role. About the Role This is a founding team role. We are a lean company, just a handful of people building something that matters. You will be joining at the ground floor, not as employee number fifty. You will be the person who knows our tools better than anyone. How they work, where they break, and how to connect them to real business data. You will work directly with the founder to build GenFinance's technical capability from the ground up: mastering Model Context Protocol (MCP), testing every serious AI tool on the market, and creating the playbooks that let us deploy AI for clients rapidly and reliably. Everything you build will be used. By clients, by the team, and by the thousands of finance professionals who will come to rely on our guidance. Here is what you will actually do: • Become an expert-level user of generative AI platforms (Claude, ChatGPT, Gemini, Copilot, Perplexity, Grok), • Master Model Context Protocol (MCP), API, and build our library of data integrations, • Test, evaluate, and grade AI tools for finance, • Participate in research, both field and desk, to help disseminate signal from noise. We are the ones who help our clients decipher what matters, with the trust that has been earned., • Create setup guides, scripts, and documentation for rapid client deployment, • Conduct research on AI developments and translate findings into practical insights, • Contribute to published thought leadership content, • Support client engagements by handling technical integration questions, • Help develop proprietary AI tools, from proof-of-concept to client demos, • Represent GenFinance in our online community, fielding technical questions This is a startup. The nature of a founding team role means there will be ancillary tasks beyond your core remit. You will need to be open to what the business needs. It is a varied role, and that is part of what makes it valuable. Why This Role Matters (For You) If you are hungry to grow, this is your shot. You will get exposure to every major AI platform before most people know they exist. You will work directly with a founder who has Big 4 technology and AI advisory experience. You will shape a company's technical direction, not just execute someone else's vision. Your skill set will grow exponentially faster here than it would inside a larger company. You will develop more in one year than in three elsewhere. More importantly, you will help an entire profession work better. If you find meaning in that kind of work, you will love this role. If you are not ready for a fast-paced environment where you figure things out yourself, this is not the role for you. To Win In This Role, You Need Required: • Demonstrated obsession with generative AI tools. Daily usage, pushed limits, informed opinions., • Deeply curious about the world and likes to connect dots, • Technical ability to work with APIs, read documentation, and figure out integrations independently, • Strong written communication. You can explain complex concepts to non-technical audiences., • Self-directed learning. You do not wait to be told what to explore., • Comfort working hard and solving hard problems, • Excitement for the challenge of a founding team, not looking for structure handed to you Preferred: • BSc or MSc in a related field (Computer Science, Mathematics, Engineering, or similar), • Experience with MCP or similar data integration approaches, • Background in a technical role (software development, data engineering, technical consulting), • Familiarity with finance or accounting concepts, • Previous use or experience with accounting software (Xero, Sage, Oracle NetSuite, SAP), • Experience producing technical content (blogs, documentation, tutorials) Not Required: • Machine learning research experience. We deploy models, we do not build them. Results You will be measured on outcomes that matter: • Build and maintain GenFinance's integration capability. The playbooks, documentation, and tooling for any client deployment., • Create the industry's most trusted AI tool directory for finance professionals, • Produce published content that establishes GenFinance as a technical authority, • Support successful client deployments with zero integration failures, • Contribute to product development that results in working prototypes in front of real clients, • Help secure technical partnerships with major AI platform providers Location and Environment Bristol or London. In person We come to the office because the best work happens in unexpected moments of collaboration. We will give you focused work zones and the assets you need to succeed. Quality equipment, proper setup, the tools to do your best work. Work from home can be offered. Once we know your capability to get the job done, flexibility follows. Visa sponsorship is possible for exceptional candidates who also demonstrate exceptional technical English speaking ability. Benefits • £35,000 to £55,000 base salary (dependent on experience), • £1,500 annual learning and development stipend to focus on your interests in the field, • Pension contributions, • Free gym membership, • Quality equipment (Mac, etc.), • Various discounts and perks, • Equity participation discussed with exceptional candidates Interview Process • Application review. CV, LinkedIn, and application form (see below), • Initial chat. Get to know each other, discuss basic qualifications and mutual fit, • Project. Demonstrate your hands-on capability with generative AI, and your ability to explain something complex clearly, • Final conversation. Meet the founder, discuss the role in detail Our goal is to complete the process within two weeks of first contact. We believe recruitment should be a good experience regardless of outcome. Every candidate who completes an interview will receive specific feedback and a decision within 14 business days. To Apply Apply via LinkedIn AND complete the application form. Application form: We will only consider applications that include both. If you have only clicked "Easy Apply" without completing the form, your application will not be reviewed. This is not bureaucracy. It is how we identify candidates with genuine interest versus passive applicants. This is a rolling application. We will review applications on an ongoing basis until the role is filled.

Backend Staff Engineer / Developer (Java AWS PostgreSQL) London / WFH to £120k Are you a backend focussed technologist with leadership skills? You could be progressing your career, in a senior, hands-on technical leadership role at a technology driven market research company that is scaling rapidly, having raised Series B funding of $60m, whilst enjoying hybrid working and a huge range of perks and benefits. What's in it for you: • Salary to £120k, • Ability to work from anywhere for up to 80 days per year, • 25 days holiday plus extra time over the festive period, • Enhanced parental leave, up to 12 weeks paid leave for premature births and neonatal care, paid leave for IVF and fertility treatment and pregnancy loss, • £40 per month wellbeing budget, • £20 per month learning and development budget, plus access to larger budgets for qualifications, • Private medical care, access to free therapy, • X2 days per year for volunteering, • Excellent career development opportunities Your role: As a Backend Staff Engineer you will take a lead role in architecting, developing and scaling the core platform with a focus on backend engineering with Java (there are also some services in Python and Golang) and rearchitecting the PostgreSQL database. As the most senior engineer you'll take project ownership, providing hands-on technical leadership to a small team to drive improvements in a collaborative team environment with high engineering standards and multiple releases per day. You will also collaborate with the Platform, Support and DevEx teams on the wider technical strategy, reporting to the Director of Engineering in an influential role. Location / WFH: There's a flexible hybrid work from home policy with two days a week in the Shoreditch office where you can enjoy a diverse and supportive team culture. About you: • You're a hands-on technical leader with a focus on backend Java engineering, • You have a strong knowledge of databases and PostgreSQL knowledge, • You're delivery focussed, • You're happy to mentor and develop others whilst leading projects and remaining hands-on with architecture and development, • You have experience with AWS, • You're familiar with Python, Golang, Kafka, Kubernetes, • You're collaborative and pragmatic with great communication skills Apply now to find out more about this Backend Staff Engineer / Developer (Java AWS PostgreSQL) opportunity.

We are working in partnership with a leading main contractor based in London for an Engineering & Technical Director. This individual would be responsible for the ‘Technical function’, a team of in-house personnel who support the business with specialist consultancy and expertise. Accountabilities include ensuring the technical risks are being proactively managed, though pre-construction, delivery and aftercare, while working alongside other functional leads (Design, H&S, Supply chain & Quality, Sustainability, Planning & Project Controls) within the business whilst helping to actively and positively reinforce the collective effort. The candidate would also be encouraged to develop the in-house engineering capability of the company, recruiting suitably competent personnel to bolster our broader operational capability. Linked to this, the business is hoping to attract new, civil / structural chartered engineers to the business, helping to increase the depth of our day to day ‘Construction Engineering’ capability, thus enhancing the roles currently held by site / package managers. Knowledge: • Chartered Civil / Structural engineer with minimum of 15 years’ experience working within Industry, leading across engineering and technical., • Experience of managing and providing in house engineering design services and temporary works designs. Demonstrable knowledge of working across a variety of sectors and a range of project values from minor works to major projects., • Similarly, equal technical knowledge and experience, secured through either relevant technical qualifications or demonstrable experienced based routeways. Qualifications: • Chartered Civil/ Structural Engineer or equivalent, although applications will be reviewed also on merit. Skills: • Strategic thinking and leadership skills., • Fully conversant with BS5975 (the code of practice for temporary works), plus any other relevant codes related to Civil & Structural engineering, permanent works and technical expertise., • Interpersonal communication and presentation skills., • Advanced level of innovation and problem solving., • Advanced technical knowledge in structural engineering and temporary works, working with a range of different materials., • Design management and coordination skills., • Ability to research, create and deliver technical training., • Strong technical hands-on experience with current engineering codes of practice and software packages., • Advanced skills in written communication for technical report writing and technical submissions.

Fire – Engineer or Senior Engineer Glasgow, Bristol, Manchester or London Competitive salary + benefits We have an exciting opening for a Fire Engineer or Senior Fire Engineer to join our firm in our Glasgow, Bristol, Manchester or London offices. Hoare Lea is a human-centric and planet-conscious engineering consultancy. We offer intelligent and sustainable solutions to complex design challenges for the built environment throughout the UK and further afield. We provide a wide range of engineering and consultancy services, including acoustics, air quality, building services (MEP), fire, lighting, security and sustainability to name but a few. Together, our highly skilled teams use technical expertise and problem-solving skills to bring buildings to life. We ensure that whatever the building, its design is outstanding, and its operations meet the needs of the communities it serves. We are as committed to providing an environment where everyone can realise their unique potential. So, in joining Hoare Lea, you will experience a business that enriches your knowledge, supports your wellbeing, and welcomes your individuality. You’ll have the opportunity to participate in our 9-day fortnight scheme, thriving community groups, varied social and networking events, and extensive professional and technical development schemes. We also offer an extensive benefits package, including private medical cover, electric vehicle salary sacrifice scheme, stock options, and up to 30 days of annual leave. Whatever your ambitions or circumstances, our aim is to enable everyone to develop their knowledge, give their best, and enjoy what they do. Being part of one of the UKs largest building engineering consultancies, we benefit from collaborating with some of the best engineers in the business, with access to state-of-the-art technical support, and have the opportunity to work on some of the UKs largest and most high profile projects as part of a multi-disciplinary team. However, the fire team also works independently on fantastic projects, with many in our team having developed long-term relationships with many great clients. Heathrow’s Terminal 2, Doha’s new metro, the vast £1billion Elephant and Castle redevelopment in London, the extension to the ExCeL centre and the Royal Hospital for Children and Young Persons in Edinburgh are examples of some of the amazing projects where we have led the Fire Engineering design with other Hoare Lea disciplines. As part of long standing Fire Engineering relationships with external clients, we have led the fire safety design on seven of Manchester’s ten tallest buildings (including the UKs tallest residential tower), developed the current fire strategies for most of the UKs largest airport terminals, and designed two world cup stadia. A particular area where we have invested heavily is training and research. We have numerous research groups within the team to ensure that we remain at the cutting edge of our discipline; this includes computational and numerical modelling, emerging fire risks, new techniques and even fire testing – we recently led the design and implementation of two of the world’s largest ever cross laminated timber (CLT) compartment fire tests in France, to successfully validate our detailed calculations for a highly sustainable timber office building project. In addition to Hoare Lea’s best-in-class training, the fire group have developed extensive additional training and development opportunities – weekly training sessions for everyone, regular training away-days, innovation days and access to external training and conferences. We place a particular emphasis on enabling our team to achieve Chartered Engineer status – we have developed a programme for this and numerous fire engineers have obtained their CEng with us over the years. This is all enabled by our very experienced and highly qualified team. We are active in a number of key organisations such as the Society for Fire Protection Engineers (SFPE), Smoke Control Association, BSI Group and Institution of Fire Engineers. Why Work For Us? The Fire Engineering group’s strategy is simple, we want to do world-class fire engineering on the best projects with great clients. We want the team to enjoy the projects they do and who they work with, so our portfolio is of high quality, varied and really interesting. As part of Hoare Lea’s larger team of built-environment specialists, we have access to some of the UKs largest and highest profile projects. However, we also work independently and have developed long-term relationships with some great clients – there is no greater personal satisfaction from winning repeat projects from clients who think you’ve done a great job and like working with you. We are strong because we recognise that everyone has different skills to offer – our team includes ex fire service, building services and building control professionals, and engineers with degrees in physics, mechanical engineering, chemical engineering, materials science, forensics – oh, and fire engineering. The opportunities we provide for training and development are second-to-none. We invest significantly in this, and our aim is to ensure our team can achieve Chartered Engineer status. We have a highly experienced and qualified team to ensure that this can happen. We really want everyone to have the right work-life balance and to enjoy their work. We enable this by having a great benefits and flexible working package – including the ability to work a 9-day fortnight, and by choosing only the best projects for great clients, supported by extensive training and experienced colleagues. We are a really friendly, supportive and inclusive team, and enjoy numerous socials with our office colleagues and with the fire engineering team. The Role • Hoare Lea’s Fire Engineering team focuses on the fire safety design of buildings., • We work with colleagues within Hoare Lea as part of a multi-disciplinary team, and also have a significant portfolio of long-term external clients., • Our projects are principally based in the UK, and a detailed understanding of UK regulations and design guidance is desirable., • Able to work with, and have an appreciation of the integration of, other construction professionals’ requirements for the project., • Ensuring open communication among all project team members so that feedback is provided and acted upon efficiently in a timely manner., • Attending design team meetings, design workshops, client meetings and site meetings., • Travel to clients or projects in the UK, and occasionally internationally, according to project demands., • Working knowledge of software analysis tools – evacuation, smoke and fire modelling, heat radiation models and structural fire modelling. What We Are Looking For • Experience working within a fire engineering consultancy role., • A relevant degree or equivalent qualification in Engineering, Building Services, Maths, Architecture, or Physics, with a keen interest in Fire Engineering. You will have a good technical knowledge in the primary discipline of fire safety design., • You will be IT literate with a working understanding of fire modelling software analysis tools., • You should have excellent communication skills and an interest in working in a team environment., • You will have the ability and commitment to effectively deliver to demanding timescales, and have good organisational and planning skills. How to apply To apply simply complete a CV profile and submit your application, or for further information please contact . If shortlisted, one of our recruitment team will be in touch to arrange a introductory call (about 30 minutes) to discuss the role and your experience in more detail. From there, successful candidates will be invited to attend a panel interview, either via Microsoft Teams or in person at one of our offices. Adjustments and accommodations If there are adjustments or accommodations that we can put in place to help you participate and give your best at any stage of the recruitment process (whether relating to disability, neurodivergence or anything else) please let us know. Data privacy We have updated our terms and conditions for candidates, click here to find out more. Recruitment agencies We have a Preferred Supplier List of trusted partners who assist us when required. We do not acknowledge speculative CVs or unsolicited candidate introductions from agencies not on the list.

About Us Every business needs to know who they’re really working with whether it’s suppliers, investors, partners, or third parties. At Xapien, we’re reinventing how organisations do that, combining speed, scale and accuracy with cutting-edge AI. Since 2018, we’ve grown from a deep-tech startup to a global player in AI-driven due diligence and risk intelligence. 2024 was a landmark year as we closed a $10M Series A, earned recognition in the Chartis RiskTech100® and Everest Group’s Leading 50™, and expanded our products, markets and customer base. 2025 was even bigger: With new regulations, rising compliance pressure and growing reputation risks, organisations everywhere are demanding smarter, faster ways to work and they’re turning to us. Customers worldwide from global law firms and private banks to universities and nonprofits rely on Xapien to turn days of manual research into trusted insights, delivered in minutes. Our momentum so far Customers in a diverse range of industries, with particular growth in wealth management, financial services and supply chain onboarding. Demand accelerating beyond our UK headquarters, across multiple continents with new customers in the Middle East, Asia, and Oceania. Why this is an exciting time to join This isn’t just another tech role; it’s an opportunity to shape the future of the due diligence industry with a market-leading product trusted by global organisations. Whether you’re in marketing, communications, sales, or finance, you’ll play a critical role in driving growth, building credibility, and defining how we connect our product to a rapidly evolving market. We’re scaling fast with more customers, more releases, and bigger regulatory and market challenges. Expectations are rising, due diligence now means real-time insight, delivered efficiently and with impact. You won’t just be executing campaigns, closing deals, or managing numbers, you’ll be influencing strategy, optimising processes, and helping position a brand that’s setting the new standard for trust and transparency. For people who love learning, innovating, and making an impact that matters now is the moment to be a part of Xapien. The Role We're looking for an Engineering Manager to lead one of our engineering teams, managing a group of engineers building features that directly impact our customers. This is a people-first leadership role focused on delivery, team performance, and engineering excellence. As our second EM hire, you'll help us continue to embed effective engineering management practices across the organisation. You'll be responsible for your team's delivery cadence, quality, and growth while working closely with Product, QA, Research, and Design to ship great software. This role is not hands-on coding focused. Instead, you'll spend your time on people development, process improvement, and ensuring your team delivers high-quality work consistently and sustainably. Key Responsibilities People Leadership & Development: • Manage and develop a team of engineers, fostering a culture of continuous learning and high performance, • Conduct regular 1:1s, provide coaching and feedback, and support career growth, • Build psychological safety and team cohesion, • Support hiring as the team and company scales, • Create an environment where engineers can do their best work Delivery & Process: • Own your team's delivery, ensuring consistent, predictable output, • Work closely with Product Managers, QA, and Research to scope, prioritise, and deliver work, • Drive continuous improvement in delivery cadence and quality, • Reduce incidents and improve system reliability, • Embed and refine engineering processes that scale with the organisation, • Remove blockers and create clarity for the team Technical Engagement: • Participate in technical scoping and design discussions, • Understand the technical challenges your team faces well enough to know when to escalate or seek help from senior technical staff, • Maintain enough technical awareness to make informed trade-offs between speed and quality, • Contribute to architectural discussions without needing to write the code yourself Cross-functional Collaboration: • Partner with Product to align on roadmap and priorities, • Collaborate with QA to ensure quality standards, • Coordinate with Design on user experience, • Communicate effectively with other Engineering Managers and leadership What We're Looking For Essential: • 2+ years of engineering management experience, ideally in a scale-up or high-growth environment, • Proven track record of improving team delivery cadence and reducing quality issues, • Strong people management skills with experience developing engineers at different career stages, • Experience working in cross-functional product teams with Product, Design, and QA, • Ability to contribute to technical scoping and design without being hands-on in code, • Excellent communication and stakeholder management skills, • Comfortable operating in a fast-paced, evolving environment, • Track record of building sustainable, healthy teams that deliver consistently Desirable: • Experience in SaaS or B2B product companies, • Previous experience as a strong software engineer, • Familiarity with modern engineering practices and tooling, • Experience hiring and scaling engineering teams What Success Looks Like In your first 6 months, you will have: • Built strong relationships with your team and cross-functional partners, • Improved your team's delivery predictability and cadence, • Contributed to reducing incidents and improving quality metrics, • Embedded effective processes for planning, retrospectives, and continuous improvement, • Supported team members' growth through regular coaching and feedback, • Made meaningful progress on at least one significant team improvement initiative Here’s our promise to you: • We are going to work with you - to build a rewarding and fulfilling career with the opportunities, challenges and resources you need to do you your best work., • We succeed together- you will own a meaningful part of the business through our employee shares & equity programme., • Private health insurance to keep you in tip-top condition., • Life Insurance – let's hope nobody ever needs this!, • Unlimited holidays – yes, it really is uncapped – take the time you need, when you need it., • Everyone is learning, developing and challenging themselves so we have a £1k professional development fund per year if you want to learn new skills, even new things outside of work., • Most importantly of all, we will work with you, to help you realise your fullest potential, always.

A world-leading global quantitative hedge fund are looking for a Data Engineer to support their systematic trading and research platform, with a focus on building, managing, and scaling datasets used directly by quants and traders. You will be responsible for developing automated ETL pipelines, integrating new and alternative datasets, implementing data quality checks, and contributing to the firm’s core data framework while working closely with research and trading teams. Stack: Python, Databases/Datalakes, Git The firm offers a highly collaborative, global environment with strong ownership, close interaction with quants and traders, and the opportunity to work on data systems that directly impact trading performance. Please get in touch if this is of interest.

Lead Frontend Engineer - London - Up to £120k 🌙 The company: Join a Series A Fintech who are building an AI-native research platform. The founding team come from the likes of Google DeepMind and Meta AI where they are shaping the future of AI design principles. 🧠 The Role: As the Lead Frontend Engineer you will lead and manage 3 frontend engineers whilst setting coding standards. Part of your role will also consist of being able to jump back into hands-on code to build and optimise the front end applications. 🌍 Requirements: • You have 8+ years experience in front end, • 2+ years in a technical leadership role where you've managed a team, • Tech stack experience: React, Next.js, TypeScript, • You are comfortable in startup environments and have previously been at a startup that saw growth., • As en engineer you hold a product mindset with a strong eye for detail in design., • Startup-friendly mindset: comfortable with ambiguity, rapid iteration, and wearing multiple hats. 📍 Location: London, 2-3 days a week onsite 💰 Salary: £110k - £120k This role does not provide visa sponsorship.

We are partnering with a leading hedge fund that is hiring a full stack engineer to join a high performing technology team supporting one of their key trading groups. The team builds advanced analytics platforms and internal tools using Python on the backend, with modern React and TypeScript driven frontends that help traders analyse markets, manage risk, and make informed investment decisions. In this role, you will work closely with traders, investment professionals, quantitative researchers, and technologists to design and deliver new trading and research applications. Projects span the full development lifecycle, from backend services and data processing in Python through to user facing interfaces built with React and TypeScript. This is a hands on position offering real ownership and responsibility, suited to someone who is proactive, technically strong, and motivated by seeing their work have a direct impact on investment outcomes. The role is based in London with one of the most prestigious financial firms in the world. The package on offer is extremely competitive and includes a strong base salary and a guaranteed bonus. Technology Stack Core backend language Python Frontend and UI TypeScript and React

About MosaiQ MosaiQ is a fast-growing AI company transforming the way professional-services firms operate. We help consulting teams, private equity funds, investment advisors, and other knowledge-driven organisations turn their expertise and workflows into AI-powered systems — in days, not months. Our uniqueness: • We reverse-engineer real work, map knowledge, and build hybrid AI + human workflows, • We augment experts rather than replace them, • We deploy custom AI into real business processes with measurable impact, • We work directly with decision-makers who value speed, quality, and judgment The Role We are looking for a Business Operations Intern to help transform MosaiQ into a fully AI-augmented organisation. This role is ideal for someone who is curious, proactive, and excited about applying AI to real work — not talking about it. You will observe how the company operates, identify repetitive work, break it into steps, and build AI-powered automations and internal tools that make us faster, smarter, and more efficient. You will work closely with the founder and collaborate with senior engineers who can support your builds. You will own execution and help the company operate as though it has twice the headcount. Responsibilities Process Identification & Mapping • Observe and document recurring manual tasks, • Identify bottlenecks and opportunities to automate, • Translate messy internal workflows into structured steps AI Tools & Automation Build • Use modern AI tools to automate repeated tasks, • Build workflows, internal assistants, and AI agents, • Test and iterate based on performance and feedback Internal Tooling • Create templates, dashboards, and internal utilities, • Support automation for research collection, CRM enrichment, content generation, etc. Company Enablement • Help ensure internal knowledge is captured, • Train the team on tools you build, • Track adoption, usage, and areas for improvement Who You Are You will thrive here if you: • Are curious, resourceful, and hands-on, • Enjoy figuring out how things work behind the scenes, • Use AI tools actively to improve your own workflow or output, • Think in workflows and systems rather than individual tasks, • Want responsibility early rather than watching from the sidelines Bonus points if: • You have used workflow or automation tools (Zapier, Make, Langflow, Replit, Claude Projects, Copilot Studio, Notion automations, etc.), • You have built a bot, script, dashboard, automation, or internal tool — even informally, • You have exposure to product, engineering, or ops environments, • You have tried light scripting or API integrations (not required) Mindset That Matters • Bias toward action — you build and iterate quickly, • Builder mentality — small experiments first, scale once validated, • Ownership — you drive tasks without waiting to be instructed, • Comfort with ambiguity — fast-changing environments energise you, • Direct collaboration with experienced AI engineers and builders, • Real-world experience building AI-powered workflows and agents, • A portfolio of practical tools that you delivered end to end, • Insight into how AI reshapes work inside a company, • The chance to turn the internship into a full-time role if the fit is right

Software Engineer | Building Intelligent Systems That Make an Impact Central London 4 or 5 days a week on site Existing SC or DV Clearance is required National Security Sector An exciting opportunity has arisen for a Software Engineer to join a cutting-edge team developing impactful, mission-driven technology. The role offers the chance to contribute to projects such as AI-powered tools for analysts and operators, secure data pipelines, and innovative prototypes that explore new frontiers in software capability. You’ll become part of a tight-knit, highly capable engineering group that values independence, precision, and tangible outcomes. This is a place for people who enjoy solving complex problems, experimenting with new ideas, and seeing the real-world effects of their work. Key Skills and Attributes • Skilled in producing robust, readable, and scalable code, • Adaptable and eager to master new technologies or unfamiliar environments, • Excellent communicator who thrives in cross-functional collaboration, • Engaged participant in agile processes, including stand-ups and sprint reviews, • Comfortable taking projects from initial concept through to delivery, • Analytical thinker who can decompose challenges and deliver iterative value Preferred Background • Experience using Java, C++, or Python, • Understanding of data-intensive systems, backend services, or cloud-based platforms, • Familiarity with regulated, high-security, or mission-critical development contexts, • Confidence working in research-led or exploratory project settings, • Curiosity about artificial intelligence, public sector innovation, or national security technology, • Interest in influencing technical direction and supporting team evolution over time This role is ideal for someone who wants to push boundaries, collaborate with talented peers, and build software that delivers genuine impact. You’ll have the autonomy to explore, innovate, and shape solutions that matter.

Senior Product Engineer (Python, React, TypeScript) Are you passionate about building world-class products that empower customers globally? Join a fast-paced, venture-backed AI technology company at a pivotal stage of growth! My client are a venture-funded AI startup — already recognised as a $Unicorn and most recently achieving a multi-billion dollar valuation in our latest funding round. Their platform is trusted by tens of thousands of customers worldwide and sits at the forefront of enterprise AI video and communications solutions. As part of their Product Engineering team (400+ across product, engineering, design, and research), you’ll directly shape how our products evolve and deliver real impact to enterprise customers. 🔍 About the Role We are looking for a Senior Product Engineer with a strong background in Python, React, and TypeScript, who thrives in a collaborative and fast-growing environment. 📌 What You’ll Do • Build scalable and maintainable features across our core product using Python (backend) and React + TypeScript (frontend), • Collaborate with cross-functional teams (Product, Design, Research, UX) to define and deliver high-impact product enhancements, • Own components from conception through delivery, ensuring quality, performance, and usability, • Mentor and influence engineering best practices and grow our engineering culture 🛠 What We’re Looking For • 4+ years of professional experience building complex applications, • Strong proficiency in Python and the modern JavaScript ecosystem (React + TypeScript), • Experience with full product lifecycle delivery, • Excellent communicator with a customer-first mindset 🌍 Why Join Us • Be part of a mission-driven company transforming how organisations communicate with AI, • Work with a diverse and growing global team of engineers, • Competitive compensation and equity — success shared across the team, • Opportunity to define and build products used by major enterprise customers worldwide 💡 About the Company This fast-growing AI technology company has raised significant venture capital, has achieved unicorn status, and continues to expand its global footprint. Backed by top venture investors and trusted by leading brands, we are building the future of intelligent video and communications globally. 📩 Ready to build something amazing? Apply now and help shape a new era of product innovation.

Senior Python Engineer | London | £100k to £150k + benefits This is a role for engineers who want to work on problems that actually matter. You will be building backend systems that support advanced AI research and deployment decisions. The software you work on influences how complex models are tested, understood, and monitored before they reach the real world. This is serious engineering in a fast moving space, with high expectations around quality, reliability, and judgement. What you will work on • Building and improving backend systems used by internal teams every day, • Working on tools that operate at scale and need to be both fast and dependable, • Helping shape how new systems are designed and brought into production, • Collaborating closely with technical stakeholders to solve ambiguous problems, • Taking real ownership over the software you build Most of the work is Python, but this is not scripting. You will be designing systems that need to be correct, performant, and maintainable under real load. What makes this role different • You are close to the problem, not buried under layers of abstraction, • You work directly with stakeholders and influence how tools are designed, • You will own features end to end, from idea through to production use, • Engineering standards are high, but speed still matters, • This is a role where judgement counts more than dogma What they are looking for • Backend engineers who enjoy complexity and responsibility, • People who care about code quality but know when to move quickly, • Engineers who think in systems, not just features, • Those motivated by the impact of AI and how it is developed Experience with LLMs, agents, cloud platforms, or security is a bonus, not a requirement. This is a career defining role for someone who wants to stay deeply technical and work on problems that will only become more important over the next decade. If you’re looking for a role where you can make tangible impact, work on an interesting product, and be part of an exceptional team, get in touch at .

AI Engineer – LLMs / Applied AI London (onsite) Salary up to £180k + equity We’re working with a fast-growing AI startup building proprietary algorithms that are redefining how complex knowledge work is done. With strong revenue traction, top-tier investors, and a deeply technical founding team, this is a chance to help build a category-defining company from the inside. What you’ll be responsible for: • Designing, building, and deploying production-grade AI algorithms that materially improve output quality in real-world applications, • Owning state-of-the-art evaluation pipelines to benchmark models, guide R&D, and support rapid iteration, • Researching and implementing advanced prompt engineering and LLM interaction techniques, • Working across the stack (primarily Python, but also Postgres and React) to ensure research translates cleanly into customer-facing product, • Moving fast from idea to production, with direct customer feedback loops The environment: • High-ownership, low-ego team of AI researchers and elite engineers, • Strong commercial traction with hundreds of enterprise users globally, • Recently closed a major funding round from top-tier investors, • Ambitious, execution-focused culture with very high engineering standards What we’re looking for: Must-haves: • Deep Python expertise and experience shipping AI systems into production, • Hands-on experience with LLMs, prompt engineering, and modern model architectures, • Proven track record building evaluation frameworks or ML pipelines used in live environments, • Comfort working end-to-end across the stack, • Clear communicator who can reason about complex technical trade-offs, • 4+ years experience total Nice-to-haves: • Publications at top ML conferences (NeurIPS, ICLR, ICML), • Experience with LLM evaluation tooling (e.g. OpenAI Evals or similar), • Strong GitHub presence or technically ambitious side projects What’s on offer: • Salary up to £180k + meaningful equity, • Work directly with a highly technical founding team, • Visa sponsorship and private medical insurance, • London-based, high-performance office environment with meals provided, • Opportunity to help shape a product and company with genuine breakout potential Apply below!

Job Title: Big Data Developer Location: UK Experience: 2–5 years Education: Bachelors in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. Essential skills required : • Designing and implementing the systems of the software., • Load operations by using Extract Transform (ETL Process)., • Developing systems for collecting and processing the data., • Should have the ability to research new methods for gaining valuable data and improving its quality., • Developing structured data solutions by using multiple programming languages and tools., • Developing data architecture that meets the needs of the business., • Collaborating with the other team members, data analysts, and data scientists., • Mining data from various resources to construct efficient business models. Soft skills required : • Developing, maintaining, testing, analysing, and evaluating a company's data., • Gathering large amounts of data from multiple sources., • Ensuring data pipelines are scalable, secure, and able to serve multiple users., • Converting structured, unstructured, and semi-structured data into actionable insights for a business. Educational Criteria : • Bachelor’s degree in computer science, Maths, IT, statistics or physics related field., • You should be entitled to work in the UK with legal work authorization status., • Must be willing to travel within the UK as per project/client requirements., • Excellent communication skills and teamwork skills.

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.

Job Description London | Full-Time | Junior Engineer (Client-Facing Analytics) Permutable Technologies is a fast-growing AI company helping the world’s leading financial institutions make smarter decisions through real-time market intelligence and LLM-driven news analytics. Our technology is used by hedge funds, banks, and commodity trading desks to integrate signals directly into live trading and research workflows. We’re hiring a Junior Data Scientist / Quant to sit at the intersection of data science, product, and client integration. This role is ideal for someone early in their career who wants to work for a financial institution disruptor. What You’ll Be Doing • Support client integrations of Permutable’s data, APIs, and signals into their research or trading systems, • Assist with signal onboarding, including explaining methodologies, assumptions, and intended use-cases, • Help run and interpret back-tests and validation analysis for client-specific workflows, • Work with client data to test use-case applications (e.g. strategy overlays, filters, dashboards), • Support customers during onboarding and early usage, helping answer analytical and data-related questions What You Bring • Degree (or equivalent experience) in Mathematics, Physics, Engineering, Computer Science, Economics, or similar, • Strong grounding in statistics, probability, and time-series analysis, • Comfortable working in Python and analysing data programmatically, • Clear communicator — able to explain analysis simply and honestly, • Curious about how data products are actually used by clients, • Interest in financial markets, trading, or applied ML Nice to Have • Experience with APIs, JSON, or data pipelines, • Familiarity with back testing, signals, or quantitative strategies, • Basic SQL knowledge, • Exposure to financial or commodities markets Tech & Tools You’ll Work With • Python, AWS, CI/CD, • REST APIs & real-time data pipelines, • LLM-driven analytics & event-based data, • Client-facing dashboards & research workflows Why Join Permutable? • Learn how AI and quant signals are deployed inside real institutions, • Direct exposure to hedge funds, banks, and trading desks, • Small team, fast learning curve, real responsibility, • Clear progression into Data Scientist, Quant, or Product Analytics roles, • You’ll help ensure clients don’t just buy the product — they actually succeed with it Industry: Business Intelligence Platforms Employment Type: Full-time

Introduction Boothbay Fund Management, LLC is a multi-manager, multi-strategy firm with 100+ alternative asset managers trading strategies across a spectrum of asset classes globally. Boothbay launched its flagship strategy in 2014. Boothbay has its primary office in NYC, and additional offices in London, Hong Kong, and Westchester. The firm is operated with an entrepreneurial spirit and is continually seeking to improve and expand. Role We are seeking a talented Data Engineer to join the growing data team within our Quantitative Management Division This position is ideal for individuals who are passionate about building scalable data solutions, eager to learn in a collaborative environment, and excited to work in small teams while taking advantage of opportunities to lead and enhance both themselves and their teammates. In this role, you will collaborate with experienced engineers to build and maintain our data infrastructure, develop efficient data pipelines, and ensure data quality across our systems. As part of a small team in the early stages of its lifecycle, you will have significant opportunities to make a meaningful impact and contribute to shaping our processes and systems. Key Responsibilities • Contribute components of our mission critical data platform for the purposes of live trading and strategy research., • Collaborate with researchers to optimize data delivery., • Make available new datasets, • Implement data quality checks and monitoring systems., • Assist in database design and optimization., • Write clean, maintainable code following best practices., • Participate in code reviews and documentation. Qualifications • A degree in Computer Science, Mathematics, Physics or other quantitative discipline. Postgraduate an advantage., • Experience with financial data sets, • Very strong Python, with emphasis on data engineering and systems programming., • Good understanding of ETL processes, databases and other data management tools such as data lakes and DBT., • Some exposure to DB Engine operation. Clustering, performance tuning, backups., • Linux/Unix, • Excellent problem-solving and analytical skills., • Strong communication, and collaboration abilities. Preferred Qualifications • Experience with columnar DB engines like Clikchouse, KDB/Q or similar, • Experience with Airflow, Dagster or similar tools., • Exposure to container technologies: Docker, Podman etc, • Knowledge of 'big data' technologies (Hadoop, Spark, Parquet), • Experience with TAQ data, and exchange connectivity. Compensation • Anticipated Salary Range for United States: $100,000 - $150,000 base salary, plus eligible for discretionary bonus commensurate with performance Primary work location • London, NYC or Westchester (Hybrid)

About Locai Labs Locai Labs is The British Foundational AI Company, based in Paddington, London. We are dedicated to building world-class large language models at the forefront of cost, efficiency, and capability. Our mission is to advance cutting-edge AI from within the UK by combining deep technical innovation with engineering excellence, creating scalable models and intelligent systems that power next-generation applications for consumers and enterprises alike. Our work spans across: • Foundational AI model development, • Bespoke agentic applications for enterprise and consumer domains, • APIs and developer tools that enable intelligent automation The Role We are seeking a Software Engineer (Backend, AI Systems) to design and build the backend systems, APIs, and tools that power Locai Labs’ AI models and agentic platforms. You will work on a diverse range of challenges, from model-serving APIs and data pipelines to infrastructure for intelligent agents and automation frameworks. This is a hands-on engineering role for someone who enjoys solving complex technical problems and shipping impactful products. You will collaborate closely with the CTO and engineering team to design, build, and scale production systems that integrate AI into real-world applications. Responsibilities • Design and develop backend systems and APIs for AI-driven products and agent frameworks, • Integrate LLMs into scalable, production-ready systems, • Build internal tools and services to manage agents, workflows, and orchestration logic, • Collaborate with frontend, infrastructure, and research teams to deliver cohesive product experiences, • Contribute to system architecture, technical design, and engineering best practices, • Write clean, maintainable, and well-tested code Required Experience • 2–5 years of professional software engineering experience, ideally working on backend systems, APIs, or AI-related products, • Proficiency in Python and JavaScript/TypeScript (Node.js), • Strong understanding of backend architectures, REST/GraphQL APIs, and data modelling, • Experience with containerisation (Docker) and cloud platforms (GCP, AWS, or similar), • Familiarity with LLM or AI APIs, • Exposure to agentic frameworks (LangChain, LlamaIndex, Semantic Kernel, etc.), • Practical experience with databases (SQL / NoSQL), • Strong foundation in software design principles and systems thinking, • Comfortable working in a fast-paced, early-stage start-up environment with ownership and autonomy Nice to Have • Experience with vector databases or embedding pipelines, • Understanding of event-driven or real-time systems (Kafka, Pub/Sub, etc.), • Knowledge of API authentication, access control, or multi-tenant architectures, • Familiarity with React or other front-end frameworks (for internal tools), • Interest in applied AI research, model fine-tuning, or reasoning agents Environment and Culture You will join a small, highly technical team where your contributions directly shape the company’s technology and products. We value ownership, curiosity, and pragmatism; every engineer at Locai Labs helps define architecture, infrastructure, and product direction. You will work on-site at our Paddington HQ, collaborating closely with the CTO and engineering team in a transparent, fast-moving, and innovation-focused environment. Application Process • Application Review – We evaluate your background and experience., • Take-Home Technical Assessment – A short exercise to demonstrate your engineering approach., • Technical Interview – Discussion of technical depth, design thinking, and problem-solving., • On-Site Session at HQ – Collaboration exercises and technical discussions with the team., • Offer – Formal offer and next steps. If this sounds like you, we would love to hear from you. Apply directly via the form below: (Strictly no agencies or recruiters. We are only accepting direct applications.)

Pricing Algo Java Engineer Up to £160,000 on the base I am looking for experienced Java engineers to join one of Europe’s top-tier fixed-income algorithmic trading desks. The role involves building a greenfield execution system from the ground up, spanning five core business domains, with a strong focus on performance, reliability, and clean system design in a front-office trading environment. Role Description You are a confident and self-motivating developer with a solid understanding of electronic markets. You are client focused and are comfortable communicating with stakeholders across the bank. You are at home developing in a small self-organising team and value user feedback within an agile development process. You can manage expectations effectively and have a demonstrable track record of owning delivery of a high profile product to demanding business users. You are familiar with the Fixed Income markets, both cash and derivatives, and understand the value of an intuitive, robust and reliable eTrading systems to a trading desk. Key Responsibilities: • Develop sophisticated algorithmic trading strategies using quantitative methods and statistical analysis, • Implement and optimize execution algorithms to improve trading efficiency and reduce market impact, • Collaborate with quants, developers, and traders to translate trading ideas into production-ready code, • Monitor and evaluate the performance of trading strategies, making real-time adjustments as necessary, • Conduct research on new trading opportunities and market inefficiencies, • Develop and maintain relationships with electronic trading venues and liquidity providers, • Contribute to the firm's overall electronic trading infrastructure and technology stack Required Experience: • Degree in Computer Science, Mathematics, Physics, or a related quantitative field, • Minimum of 5 years of experience in electronic trading or a similar role in financial markets, • Strong programming skills in Java, with experience in low-latency environments, • In-depth understanding of market microstructure, order types, and exchange connectivity, • Excellent problem-solving skills and ability to work under pressure in a fast-paced environment

Field Service Engineer, X-ray & CT Imaging Systems No X-ray or Imaging Experience Required - Full and Comprehensive industry recognised training will be provided £53K - £66K Earning Potential (Basic, On-Call and Overtime) + Company Car + Excellent Benefits Package An excellent opportunity for an experienced Field Service Engineer with experience working on electronic or electro-mechanical capital equipment to join a market leading manufacturer of X-ray & CT Imaging Systems. • Basic Salary £45,000 to £50,000, • Company Car, • On Call Allowance Circa £3,000, • Overtime £5,000 to £15,000, • Full Product Training, • Pension, • Healthcare, • Phone, Laptop, • Holidays The Role – Field Service Engineer, X-ray & CT Imaging Systems This market leader seeks to recruit a technically motivated and customer focused Field Service Engineer, responsible for the service, installation and breakdown repair of a wide range of sophisticated X-ray and CT Imaging Systems. Your Background – Field Service Engineer, X-ray & CT Imaging Systems To succeed in this exciting role, you are most likely to have service and repair experience in one or more of the following sectors / equipment areas: • A competent background in a service or maintenance engineering capacity gained within any high value capital equipment environment, • Applications are encouraged from engineers with a broad range of backgrounds, including:, • Imaging, Printing or Pre-Press, • Semiconductor, • Manufacturing, • Maintenance / PLC’s, • Electronics / Electro-Mechanical Equipment, • Laboratory, Medical or Pharmaceutical Equipment, • Ex HM Forces Engineers (Medical and Dental, Weapons Systems, Radar, REME, RAF or Navy electronics), • A qualification in engineering, electrical or electronics is essential, • Applicants are welcome from engineers from a broad base of sectors, as full and comprehensive product training will be provided The Company - Field Service Engineer, X-ray & CT Imaging Systems • Well respected global OEM manufacturer of sophisticated imaging systems, • Their commitment to investment in research and development is second to none in their industry, ensuring that they remain a market leader, • At the core of their business lie product innovation, excellent customer service and good people This vacancy is being advertised by Halo Talent Solutions. Halo Talent Solutions is a trading name of TRS Consulting Services Ltd. The services advertised by TRS Consulting Services are those of an employment agency and / or an employment business.