Design research jobs in United Kingdom

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases — often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit ___ for more information. We innovate to transform the lives of patients and their families: At Jazz our vision is to foster a great place to work dedicated to championing patients globally by discovering, developing, and commercialising life-changing medicines. The MSL at Jazz is a field-based therapeutic area specialist with advanced scientific and/or medical training who thrives on interacting with HCPs and associated professionals in their work setting, sharing relevant information with them and is always curious to continue learning and broadly explore their assigned Jazz therapy and disease areas. As an individual you are driven, use your own initiative and collaborate with colleagues. You are passionate about the work you do at Jazz and the current and future potential to deliver patient benefits. This MSL role will be offered on a full time, fixed term contract basis, initially for one year only covering South West and Central England and Wales. The MSL role is predominantly external facing and the main focus is to support education, research and scientific exchange of complex scientific information relevant to the disease area of Oncology (Solid Tumour and Haematology) through developing and maintaining professional relationships as scientific peers and resources within the local healthcare community with the purpose of advancing patient care. MSLs are expected to establish productive collaborations with a variety of external stakeholders in the scientific and clinical community (e.g., medical practitioners, academic researchers, professional societies and organizations) and the patient care pathway (e.g., patient and caregiver groups, patient advocacy groups and payers). These interactions may be delivered through proactive or reactive engagement and always with consideration of maintaining high industry Code compliance standards. When building collaborations, face to face (F2F) meetings are recommended and hybrid working with remote meetings are also useful in some circumstances. The MSL will maintain a close working relationship with internal cross-functional colleagues to facilitate information sharing, collaboration and coordination for efficient and informed field level territory/key account planning and execution in alignment with medical and commercial strategies including key account patient-centric goals. The MSL role at Jazz is a non-promotional role with activities aligned to the regional and local medical strategy. MSL performance is not associated or assessed with sales performance. The MSL is responsible to execute their activities in accordance with regulatory and legal frameworks including, but not limited to GCP, ABPI, IPHA, MHRA, as well as following all assigned Jazz Pharmaceuticals Policies, Standard operating procedures, Work Instructions, Healthcare Compliance procedures and local medical management direction. Essential Functions External interactions with HCPs and allied Health professionals * Identifies on-territory HCPs and allied Healthcare professionals in the Disease Area; developing and maintaining collaborative relationships relevant to engage in scientific exchange activities. * Proactively and reactively engage with HCPs through meaningful Scientific Exchange on the development and use of our medicines throughout the product lifecycle, to understand the management of disease (including current and future potential treatments, where appropriate) and through scientific opportunities e.g., research, audit, advisory roles, educational opportunities. * Spending time with HCPs, listening and observing the challenges faced in the assigned therapy area to understand their needs and create actionable medical insights. Positions self as Scientific Expert * Engage in ongoing self-learning of assigned disease area(s) and JP product(s), evolving medical landscape including physician and patient needs, current and emerging treatment pathways, and research needs * Becomes recognized as the ‘go to’ person to answer questions from HCPs, communicating salient facts in a clear, factual and non-promotional manner. * Provides expert input into medical education content, both for the purpose of external education and if needed to support medical information enquiries. * Provides medical support in UK and International Congress, which may include lead, design and delivery of medical function activities, and working with commercial colleagues within the appropriate frameworks. Internal functional collaboration with colleagues * Share best practices with local and regional medical team * Work collaboratively to share timely insights with office medical team (local / regional) and local commercial team (in a compliant way). * Accountable for engagement with a broad number of internal functions including, to ensure enquiries, project requests, safety reporting are progressed and documented in accordance with SOPs. * Coordinate on scientific and medical congress planning and attendance, and conduct internal pre- and post-congress briefings on programme content relevant to the cross-functional team * Engage with ongoing and potential research activities, progress medical grants or IST requests, proposals for RWE, engage with Jazz clinical research teams to provide input for the identification of Clinical trial investigators, support project management of Local studies/ sites and medical/ scientific representative for Site Initiation visits. * Develop and deliver internal training for medical colleagues and for cross-functional colleagues on disease area and current/ emerging treatments, where this activity has been directed & approved by local medical affairs leadership Medical Affairs Planning and Plan Execution * Participate in developing, implementing and managing annual local medical and brand plans, research strategies, medical communications, launch plans, and materials for field teams * Participate in country medical project planning and execution, including educational and data generation projects * Obtain input from the cross-functional team to develop informed Medical Affairs and MSL strategies * Develop, implement and manage the MSL territory plan aligned with the local Medical Affairs therapeutic area strategy, including HCP-specific MSL engagement objectives aligned with the interests and needs of the HCPs, patients and with local medical plans and projects * Align with field Commercial colleagues to agree coordinated cross-functional key account activities and projects related to shared patient-centric field goals. * Report on progress made toward achievement of MSL and Medical Affairs plan goals Works in a compliant business-enabling way, with patient safety at the core of all activities * Completes all Jazz Learns and other required training on time. * Utilises company tools/ software as directed in relation to record keeping and HCP interactions and timely reporting. * Demonstrates compliance with all requirements in relation to Pharmacovigilance and product complaint reporting. * Actively maintains knowledge of ABPI/ PMCPA (& IPHA) Codes through case publication awareness, participation in internal company session, and raising questions/ concerns with line manager or internal speak up line. * Maintains the specific differentiation of the MSL as a non-promotional role and adheres to the defined company standards in relation to activities and information documentation and sharing. * Behaves with integrity and acts as an ambassador for Jazz Pharmaceuticals following the company mission and values Role Expectations * MSL territory (geography) is South West and Central England and Wales, however this can be changed to meet business requirements. * You will ideally be located on territory or be able to reliably and routinely access your territory within 1 hour of travel. * The interaction expectations of the MSL will vary based on several factors including, but not limited to, size and travel infrastructure on territory, number of specialist hospital centres, duration in role as an MSL, knowledge of the healthcare system within territory. * The travel expectation of this role is 70-80%. * The majority of travel will relate to your on-territory travel, however other travel for business meetings in the UK&I and international business/congress travel may also be required. * This is a field-based role and the majority of the MSL time will be externally facing. * MSL onboarding and guidance documents (including e.g. Competency levels, MSL Guidelines/SOP and Core expectations) exist to support the high standards of this role. * All guidance and expectations of the MSL are designed to meet with the standards of the ABPI Code of Practice (or IPHA if applicable). Required Knowledge, Skills, and Abilities * Strong current knowledge of Solid Oncology and HER-2 targeted treatments including clinical trials landscape, NHS structure and patient treatment pathway(s)in the UK. * A quick learner, able to assimilate and articulate complex data as relevant to audience * A good listener, with high emotional intelligence, able to explore broad areas of interest and opportunities during HCP interactions. * Excellent planning and organisation skills * Confident use of IT equipment (with contingency planning), for delivery of F2F in person and F2F remote interactions. * Clear, structured communication and presentation skills * Engages actively with company IT systems, reporting tools and collaborative working tools to ensure compliant reporting, excellent record-keeping and information sharing * Curious and future facing, wanting to learn more, brings innovation and continuous improvement to the team * Strong inter-personal skills, seeking internal collaboration and teamwork * Demonstrates motivation and takes accountability for own self-learning, development, and performance. * Excellent command of spoken and written English Required/Preferred Education and Licenses * Medicine, Pharmacy or Nursing Degree * Scientific Graduate with a higher qualification relevant to Oncology e.g., PhD, Pharm D, MSc * Experience of working in the NHS within Solid Oncology/ Haem -Onc therapeutic areas - preferred. * ABPI Code trained-preferred * Experience as an expert speaker or as a trainer * Experience/ knowledge of clinical trials operations - preferred Description of Physical Demands * Frequent travel between meeting sites. * Frequently operating a computer, printer, telephone and other similar office machinery. Description of Work Environment * Frequent interactions with external contacts in their office environment with little exposure to excessive noise, dust, fumes, vibrations and temperature changes. * Frequent computer laptop or tablet use, not usually at a workstation. * Responsibilities may require a work schedule that may include working outside of “normal” work hours, in order to meet business demands. * Frequent public contact requiring appropriate business apparel. Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: ___.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

The Role: We're on the lookout for a Data Scientist who brings genuine depth in both data engineering and visualisation. You'll be joining a growing Data & Analytics team and stepping into a role that spans the full data journey - from architecting robust pipelines to turning complex datasets into insights that people actually act on. If you're someone who's equally comfortable crafting polished Tableau dashboards, this one's for you. What You'll Be Doing: • Design and maintain scalable data pipelines using PySpark and SQL across distributed environments, • Wrangle and analyse large, complex datasets to surface meaningful patterns and trends, • Build data science solutions in Python - spanning exploratory analysis, predictive modelling, and workflow automation, • Develop clear, interactive Tableau dashboards that make insights accessible to stakeholders at every level, • Bridge the gap between raw data and business understanding through intuitive, well-crafted visualisations, • Partner with business teams to understand their needs and translate them into practical, data-driven solutions, • Own data quality and integrity across pipelines, transformations, and reporting outputs, • Deliver production-grade work that's built to scale What We're Looking For • Hands-on experience with Python, SQL, PySpark, and Tableau, • A strong track record building end-to-end Tableau dashboards, from data preparation through to final delivery, • Solid PySpark experience, particularly for large-scale data processing and pipeline development, • A firm grasp of data transformation, modelling principles, and big data environments, • Versatility across both data science and data engineering disciplines, • A sharp analytical mindset with a focus on generating insights that drive real decisions ADVERT DISCLAIMER 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

Principal AI Engineer Up to £110,000 + Bonus Hybrid | London We’re partnered with a global leader in loyalty and customer engagement, looking for a Principal AI Engineer to join their London team. This role will include delivering customer centric solutions and scale production-grade AI solutions. You’ll be the technical authority for AI engineering, driving architecture, automation, whilst ensuring our AI platform is robust and transparent. Working closely with the Head of AI Labs, you’ll lead the delivery of advanced AI systems that deliver real business impact. Responsibilities as a Principal AI Engineer: • Lead end‑to‑end delivery of scalable, resilient AI/ML pipelines aligned to business goals., • Build and deploy advanced ML, DL, and LLM solutions, including RAG, agentic architectures, and evaluation frameworks., • Mentor engineers in ML engineering, orchestration, and modern AI best practices., • Communicate system behaviours, risks, and outcomes to both technical and non‑technical audiences., • Partner with the Head of AI Labs to turn AI research and strategy into production‑ready solutions. Key Requirements: • Proven experience designing and productionising RAG pipelines and agentic AI architectures, • Hands‑on delivery of agent‑based AI systems with orchestration tools (e.g., LangChain, CrewAI) in production., • Strong Python engineering skills with solid testing, optimisation, CI/CD, and code quality;, • Experience implementing and scaling vector databases (Pinecone, Weaviate, Milvus) for retrieval and reasoning workloads., • Deep expertise in cloud‑native AI engineering on AWS, with Azure knowledge and ability to design distributed, fault‑tolerant systems. Nice-to-Haves: • TypeScript a plus; SQL proficiency for data work., • Bridges technical and business teams with ease., • Confident working with stakeholders at all levels., • Shows initiative, works independently, and brings fresh ideas., • Strong communicator able to present, guide, and influence effectively. Benefits: • Up to £110,000 + Bonus, • Flexible working options at a Central London office, • Private Health, Great pension, • Work from anywhere for 2 months of the year This is an exciting opportunity for a Principal AI Engineer to take technical authority and deliver a real word impact on at a Global business, we’d love to hear from you. **Unfortunately, due to high volume of applications, not all submissions will receive feedback

Venture Search have partnered with a top-tier systematic hedge fund, that are looking for a Quantitative Developer to work closely with quantitative researchers and portfolio managers to design, implement, and maintain scalable, high-performance trading and research systems. The role sits at the intersection of quantitative research, software engineering, and trading, with a focus on building robust tools and infrastructure that support systematic investment strategies. Responsibilities • Design, develop, and maintain production-quality software for quantitative trading strategies, • Partner with quantitative researchers to translate models and research prototypes into efficient, scalable code, • Build and optimize data pipelines for market, reference, and alternative data, • Implement backtesting frameworks, simulation tools, and research platforms, • Enhance trading infrastructure, including execution, risk, and monitoring systems, • Optimize performance, reliability, and scalability of existing systems, • Collaborate with technology, risk, and operations teams to support live trading environments, • Ensure best practices in software development, testing, and documentation Required Qualifications • Strong programming skills in C#, Python and/or C++ (Java or other languages a plus), • Solid understanding of data structures, algorithms, and software engineering principles, • Experience working with large datasets and time-series data, • Familiarity with Linux/Unix environments and version control systems (e.g., Git), • Ability to work closely with quantitative researchers and traders in a fast-paced environment, • Strong problem-solving skills and attention to detail Preferred Qualifications • Experience in quantitative finance, systematic trading, or financial technology, • Knowledge of capital markets, derivatives, or market microstructure, • Experience with databases (SQL, NoSQL), distributed systems, or cloud platforms, • Exposure to backtesting frameworks, execution systems, or real-time trading platforms, • Advanced degree in Computer Science, Engineering, Mathematics, Physics, or a related field

Job Overview The XVA Quant will be sitting within the XVACCR, Collateral & Credit Quantitative Research. The mandate of the quant team is to produce quantitative modelling and innovative solutions for XVA, Counterparty Risk, Collateral and Credit topics. The quant team regularly interacts with a broad scope of internal clients: • XVA and Scarce Resources desk for XVA pricing and modelling, • Risk department for Internal & Regulatory CCR, Accounting XVA, and SIMM, • Collateral desk for discounting, SIMM and IMVA with CCPs, • Trading and Risk Management for Credit derivatives. The quant team closely works with the business to study and assess the models’ behavior and performance. It also plays a significant role in several strategic XVA and RWA projects by producing computational blocks using cutting-edge modelling and implementation techniques to ensure the bank can cope with the increasing list of regulatory measures (XVAVaR, SACCR, FRTB-CVA …) and metrics needed to manage our XVA reserves properly (Optimization modules, Sensitivities with AAD, Machine Learning …). The quant team continuously builds and upgrades XVA libraries and platforms to implement regulatory changes in an optimized architecture. The team is also actively participating in developing the Collateral management platform for CCP and EMIR Initial Margin and working on various FO and Risk systems migration projects, supporting the XVA and Scarce Resources Management and Collateral Management functions. Responsibilities • Define and implement tools and pricing models for Collateral management activity (IMVA-CCP, SIMM …), • Define and implement mathematical tools and pricing models for XVA-linked activity, • Interact and support Trading, RPC and IT partners. Essential Requirements • High programming skills (C++, SQL, C#, VBA …)., • Good knowledge of numerical methods such as: Monte Carlo, Optimisation algorithms, … ., • Recent experience and strengths in most of the following:, • Distributed computing and Inter-process communication, • Multi-threading programming, • Microsoft products: Office, VC++, VBA, • SQL, Access, Oracle, • Web technologies: XML, XSLT, • Strong team orientation, ability to work alone and highly self-motivated, • Able to adapt and learn new technologies quickly, • Results and time oriented, • Excellent analytical and problem-solving abilities, • Creative, can devise and implement multiple solutions, • Good communication skills - both verbal and written, • Previous experience XVA and/or RWA optimisation Who We Are Our Expertise We provide high-impact consulting across five key domains: • Quantitative Finance — Model design, implementation and validation., • Risk & Regulatory — Risk frameworks and regulatory transformation., • Data & AI — Data optimisation and AI adoption with strong governance., • Digital & Technology — Cloud, engineering, automation and digital solutions., • Transformation — Change management and large-scale delivery programmes. Our Commitment Built on excellence, collaboration and innovation, Quanteam partners with clients to strengthen resilience, accelerate transformation and build future-ready capabilities. We are committed to a diverse and inclusive workplace where all individuals are respected and valued. We welcome applicants from every background and uphold equality across all characteristics. Diversity drives innovation and strengthens our ability to deliver exceptional results. Our aim is an environment where everyone can thrive and contribute to collective success.

We are seeking a PhD Computer Vision Scientist with deep expertise in object detection, tracking, or related visual perception tasks. You’ll join our world-class research team to design, implement, and optimize algorithms that advance the state of the art in dynamic scene understanding. This role is ideal for a researcher who has already made significant contributions to the field, for example, through publications at top-tier venues such as CVPR, ICCV, or ECCV and is eager to apply that experience in a fast-paced, applied R&D environment. Requirements • PhD in Computer Vision, Machine Learning, Robotics, or a related field., • Strong research background in object detection, tracking, segmentation, or visual understanding, VLM's, VLA's, • Proven record of publications in CVPR, ICCV, ECCV, or comparable conferences., • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow., • 1-3 years industry experience. What We Offer • Competitive salary and equity package., • Access to high-performance computing infrastructure., • Opportunities for publication, collaboration, and attending top-tier conferences., • A collaborative, research-driven environment with a focus on innovation and impact.

AI Engineer Frontier AI | London or Paris Compensation: Up to £200k + equity package About Frontier AI startup building state-of-the-art agentic systems that can execute real digital work inside enterprise software. Well-funded, with a value prop combining cutting-edge research (in computer use and proprietary models) with forward-deployed implementation alongside enterprise clients. You'd be joining the Agent team – a small, high-calibre group building the systems and tooling that actually makes agents work in production. This is engineering embedded in research - the model team trains the models; the agent team builds everything around them. What you'll do • Build and improve agent logic: planning, tool use, skills, memory, orchestration, • Design and implement retrieval systems (RAG) that allow agents to access and reason over large knowledge bases and enterprise data, • Build low-latency, reliable entity retrieval pipelines across structured and unstructured data sources, • Work on internal and academic benchmarks to measure and push agent performance, • Translate research ideas into working systems (tool calling, new agent capabilities, training signals), • Build and evolve the in-house agent stack used across the organisation, • Partner closely with researchers to turn ideas into production-ready agent behaviour, • Iterate quickly, experiment often, and own problems end-to-end What you'll need • Senior-level engineering experience from a high-bar environment (top AI lab, scale-up, or Big Tech), • Strong software engineering fundamentals and system design skills, • Experience building RAG or large-scale retrieval systems in production (latency, throughput, accuracy, relevance), • Interest in agentic AI - prior agent experience is helpful but not mandatory, • Proactive, autonomous, and creative - you spot gaps and fill them, • Comfortable working in fast-moving, loosely specified problem spaces This is an opportunity to build agentic AI at the frontier - not writing papers, but shipping systems that push the boundaries of what agents can do. Shortlisted candidates will be contacted within 48 hours.

C# Developer – Fixed Income Options London | Hybrid | Leading Options Market Maker A leading global options market maker is expanding its Fixed Income Trading team in London and is seeking a junior to mid-level C# Developer to join a high-impact, front-office engineering environment. You’ll work directly with traders, quants, and strategy developers to build and enhance trading tools and systems that support pricing, execution, and research across fixed income options markets. About this role: • Develop and enhance high-performance C# trading applications used by front-office teams, • Collaborate closely with traders and quantitative researchers to enable new trading strategies, • Build scalable, low-latency systems and data pipelines handling large volumes of market data, • Contribute across the full software development lifecycle, from design to production support, • Continuously improve system stability, performance, and usability in a fast-moving trading environment Qualifications: • 1–8 years’ experience in C# / .NET development, • Bachelor’s degree (or higher) in Computer Science or a closely related technical field, • Strong understanding of software engineering fundamentals and object-oriented design, • Experience building server-side or distributed systems in a production environment, • Interest in financial markets, trading systems, or quantitative environments, • Strong problem-solving ability, attention to detail, and willingness to learn This opportunity offers a highly competitive compensation package and hybrid working model.

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

Head of Windows Engineering / London or New York • Fed up with legacy technical debt?, • An active directory that is like the back of the office fridge (stuff in there from years ago, nobody knows who it belongs to or is brave enough to chuck away)., • A desire to build rather than maintain, • Or maybe you’ve sorted out all the problems and need a new challenge If so, this role is for you. We are working with a systematic hedge fund seeking a Lead Windows Engineer to design and build the organisation’s Windows infrastructure from the ground up. This is a rare opportunity to own the Windows platform architecture and play a key role in designing and implementing the core infrastructure that supports trading, research and operations systems. You will lead the development of a secure, scalable and highly automated Windows environment, spanning on-premise and cloud infrastructure. Responsibilities • Lead the architecture, implementation and ongoing management of enterprise Windows infrastructure, • Design and deploy core services including Active Directory, identity management and enterprise authentication, • Build and maintain the firm’s Windows Server environment across on-prem and cloud platforms, • Develop automation frameworks using PowerShell and infrastructure-as-code tooling, • Implement security controls, patching, monitoring and configuration management, • Partner with engineering, trading, operations and security teams to deliver a reliable platform, • Integrate infrastructure with trading systems, internal applications and external vendors, • Define infrastructure standards, documentation and operational best practices, • Infrastructure engineers are responsible for designing and maintaining the foundational systems that support business operations and applications across the organisation. Requirements • Extensive experience in enterprise Windows infrastructure engineering, • Strong expertise with Windows Server environments and enterprise architecture, • Deep knowledge of Active Directory, identity services and Group Policy, • Experience managing authentication and directory services that control access across corporate systems., • Strong scripting and automation skills using PowerShell, • Experience supporting virtualisation platforms (VMware / Hyper-V) and hybrid infrastructure, • Exposure to cloud platforms such as Azure or AWS, • Experience implementing monitoring, patching and configuration management frameworks, • Strong troubleshooting skills across complex enterprise systems, • Experience in hedge funds, trading firms or financial services environments is highly desirable. Get in touch This is an amazing opportunity to build a new windows infrastructure within a technology driven firm. This is a high visibility role working across the technology organisation at the intersection of engineering, security and trading technology. Very competitive compensation and long-term growth potential.

MEP Design Manager – Tier One Main Contractor Up to £100,000 + Package Central London A leading Tier One Main Contractor is seeking an experienced MEP Design Manager to manage several flagship projects in Central London. These technically challenging schemes involve delivering state-of-the-art laboratories and research facilities, with a strong emphasis on innovation, compliance, and coordination. Your Role As MEP Design Manager, you will be responsible for managing and coordinating the mechanical, electrical, and public health (MEP) design elements through to delivery. You’ll be working closely with architects, consultants, subcontractors, and internal teams to ensure design intent, compliance, and programme alignment. Key Responsibilities • Lead MEP design coordination across all disciplines and stakeholders, • Manage design workshops, technical submissions, and design reviews, • Ensure MEP design is aligned with programme, cost plan, and client brief, • Liaise with consultants and subcontractors to resolve technical issues, • Monitor design risks, compliance with Building Regulations, and change control, • Work closely with the site and project delivery teams during construction phase, • Maintain documentation and design tracker to support project reporting About You • Proven experience as an MEP Design Manager on complex, technical projects, • Previous experience with a Tier One Main Contractor or top-tier MEP Consultancy, • Familiarity with Life Sciences, Laboratories, Clean Rooms, or R&D environments is strongly preferred, • Excellent knowledge of UK building regulations and compliance standards, • Strong communication, coordination, and leadership skills, • Degree or equivalent in Building Services, Mechanical or Electrical Engineering If you’re interested in this position, please reach out to Matt Dade – .

Contract Duration - 6 months We are looking for talented Research Engineers to join a cutting-edge AI research team focused on advancing machine learning systems and large language models. 🔍 What You’ll Do • Conduct advanced research in machine learning systems, • Design tools and infrastructure for next-gen LLMs, • Collaborate with cross-functional teams to drive innovation, • Build, test, and scale AI models and experiments, • Contribute to impactful research and real-world applications ✅ What We’re Looking For • 2+ years of experience in ML, AI, recommendation systems, or related fields, • Strong Python skills with frameworks like PyTorch, • Experience working with large-scale AI models and datasets, • Ability to translate technical insights into business impact, • Bachelor’s degree in CS/Engineering or equivalent experience ⭐ Nice to Have • Experience in Generative AI / LLM research, • Master’s or PhD in Machine Learning or related field. About US Tech Solutions:- US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit ___. US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Recruiter’s details:- Name:- Aman Jha Email id: Job Diva ID:- 26-00083

The Problem Every major enterprise procurement deal - a mining company locking in steel supply, a manufacturer negotiating energy contracts, a retailer securing food commodities - lives or dies on one question: what will this cost six months from now? Today, that question is answered with spreadsheets, gut instinct, and analyst reports written days after markets have already moved. Billions of dollars in value are left on the table - or surrendered across the negotiating table - because procurement teams are flying blind on price. At Monq, we're building AI agents that negotiate high-value enterprise contracts - and we're expanding what that platform can do. The next frontier is price intelligence: giving procurement teams the foresight to know what a deal should cost before they even sit down to negotiate. That's what you'll build. What You'll Build This is genuinely 0-to-1. There is no existing model, no data pipeline, no baseline to iterate on. You're starting from a blank sheet - which means you'll need to be comfortable with ambiguity, scrappy about data sourcing, and confident making architectural decisions without a committee to approve them. In return, everything you build will matter immediately, and you'll own it completely. Concretely, you will: • Build multivariate commodity price prediction models from scratch. You'll work across energy, metals, agricultural inputs, and industrial materials — constructing models that capture the full complexity of cross-commodity dependencies, supply chain dynamics, macroeconomic signals, and geopolitical risk. This isn't univariate time series. This is structured, high-dimensional, real-world forecasting at a level that actually moves enterprise decisions., • Own the full modelling lifecycle. Feature engineering, model selection, validation strategy, uncertainty quantification, production deployment. You'll make the calls and live with the results - which means you'll learn fast., • Design forecasting architectures that go beyond the obvious. We're not looking for someone who fits an ARIMA model and calls it done. We want someone who knows when to reach for Gaussian processes, gradient-boosted ensembles, neural state-space models, or hybrid symbolic-statistical approaches - and, critically, knows why., • Integrate alternative data sources. Satellite imagery, shipping data, weather signals, procurement index feeds, news sentiment — the edge is often in the signal no one else has thought to use. You'll identify and incorporate these into production-grade pipelines., • Shape how predictions become decisions. The end goal is for your models to inform what Monq recommends inside live procurement negotiations. Getting there requires working closely with product and engineering - translating probabilistic outputs into something a procurement professional can act on in the moment, not just admire in a dashboard., • Bridge research and engineering to ship production-grade systems. You won't be throwing models over the fence. You'll work in close collaboration with our engineering team to take research from notebook to production - defining clean interfaces, writing model-serving code that engineers can build on, and making sure what you've validated in a research context actually holds up in a live enterprise environment. The expectation is that your work ships, not just publishes. You Might Be a Fit If • You have 6+ years of experience in applied data science or quantitative research, with a strong track record in forecasting or time series modelling in production environments (an ongoing PhD or track record of research would be wonderful to have), • You've worked on commodity, energy, or financial market price prediction - you understand basis risk, seasonality, mean-reversion, and regime shifts intuitively, • You're fluent in multivariate modelling: VAR/VECM, Bayesian hierarchical models, factor models, LSTM/transformer-based temporal architectures - and you can speak clearly to the tradeoffs between them, • You're rigorous about uncertainty. You know the difference between epistemic and aleatoric uncertainty, and you build that distinction into how you communicate predictions to stakeholders, • You're comfortable working with messy, heterogeneous, real-world data — incomplete time series, mixed frequencies, structural breaks, and sources that require significant wrangling before they're useful, • You can write production-quality Python and know how to deploy models in a way that engineers can actually build on, • You care about impact, not just accuracy metrics. A model that moves a negotiation outcome is worth more than one that wins a Kaggle leaderboard Nice to Have • Experience with causal inference methods applied to market dynamics (synthetic control, difference-in-differences, IV), • Familiarity with procurement indices (PPI, ISM, commodity spot/futures markets) and how to incorporate forward curve data, • Experience building real-time or near-real-time inference pipelines at scale, • Background in operations research or supply chain optimisation, • Exposure to LLMs as signal sources — extracting structured market intelligence from unstructured text ML Skills We're Looking For This role sits at the intersection of classical econometrics and modern machine learning. You don't need to be a world-class expert in every area below - but you should be genuinely strong across most of them and honest about where you want to grow. • Supervised & Ensemble Methods. Gradient-boosted trees (XGBoost, LightGBM, CatBoost) for tabular forecasting; understanding of when tree-based models outperform neural approaches on structured data, and vice versa. Strong intuition for regularisation, hyperparameter tuning, and avoiding leakage in time series cross-validation., • Deep Learning for Sequences. Hands-on experience with temporal architectures - LSTMs, GRUs, Temporal Fusion Transformers, N-BEATS, or similar. Understanding of attention mechanisms and when transformer-based sequence models are worth the complexity cost over simpler recurrent approaches., • Probabilistic & Bayesian Modelling. Comfort with probabilistic forecasting: quantile regression, conformal prediction, Monte Carlo dropout, or full Bayesian inference via PyMC or NumPyro. The ability to communicate uncertainty intervals credibly to non-technical stakeholders is as important as computing them correctly., • Feature Engineering at Scale. Lag features, rolling statistics, Fourier transforms for seasonality decomposition, target encoding with temporal leakage guards, embeddings for categorical market variables. You understand that the quality of your features usually matters more than the choice of model., • Model Evaluation & Validation. Walk-forward validation, purged k-fold cross-validation, backtesting under realistic execution constraints. You know why naive train/test splits are dangerous in time series and what to do about it., • MLOps & Productionisation. Experience taking models from notebook to production: experiment tracking (MLflow, W&B), model versioning, feature stores, drift detection, and retraining triggers. You can build a model that doesn't just work once - it works reliably over time as markets evolve., • Explainability & Interpretability. SHAP values, partial dependence plots, and the ability to explain model behaviour to procurement professionals who need to trust and act on predictions. Black-box accuracy means nothing if the model can't be interrogated when it's wrong. The Stack You'll have significant input into tooling choices: experiment tracking, feature stores, deployment infrastructure. We have strong engineering support and ship on AWS, but we're building the MLOps layer on the go and you'll help define it. We use AI coding tools - Cursor and Claude Code - as part of the daily workflow, not as a novelty. Why This Is a Rare Opportunity Most data science roles hand you a well-defined problem with existing pipelines and ask you to improve on a baseline. This one doesn't. There is no baseline. You'll spend real time figuring out what data is available, what's worth acquiring, and what's even feasible to predict - before writing a single model. That's harder than most JDs admit. But it also means your decisions have a direct and permanent impact on the direction of the feature we are developing. The procurement market is a $4.2 trillion opportunity that existing AI solutions have almost entirely ignored. If you can build something that genuinely predicts commodity price movements - even imperfectly, even partially - it changes what Monq can offer enterprise customers and how we compete. This is the kind of problem that a good data scientist can spend years on and still find interesting. About Monq Monq is building the first AI platform purpose-built for strategic procurement negotiation. We're early-stage and moving fast — backed by executives from Revolut and HSBC, working with enterprise customers, and actively building the team that will define what this product becomes. We're a small, flat team. We use AI tools not as a novelty but because they make us better and faster. We value simplicity, ownership, and shipping — and we're looking for people who hold themselves to high standards while staying pragmatic about what matters right now. Equal Opportunities Monq is committed to creating a diverse and inclusive workplace and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender reassignment, marital or civil partnership status, age, disability, pregnancy or maternity, or any other basis as protected by the Equality Act 2010. We actively encourage applications from people with diverse backgrounds and experiences. For accommodations during the recruitment process, please contact .

Circadia Health is a growth‑stage healthcare AI company on a mission to prevent avoidable hospitalizations and transform senior‑care operations. Our Circadia Intelligence Platform combines: • Contactless sensing that monitors respiration and motion with medical‑grade accuracy, • Predictive analytics & agentic AI workflows that detect 85 % of preventable rehospitalizations ~11 days in advance, • Enterprise integrations that embed insights directly into EHR, care‑coordination, billing, and compliance systems Today our technology touches 40,000+ post‑acute patients daily across skilled‑nursing, home‑health, and home‑care networks. We are backed by leading healthcare and AI investors like Khosla Ventures, Village Global, Headline, Eric Yuan (CEO of Zoom), and others. Position Overview As an ML Ops Engineer at Circadia Health, you will own the infrastructure and operational lifecycle of the machine learning systems that power our clinical monitoring platform. You will build and maintain the production ML pipelines, deployment infrastructure, and monitoring systems that enable Circadia's predictive models to identify early signs of clinical deterioration. Reporting to the Principal ML Engineer, you will work across ML, backend, data, and clinical teams to ensure models are reliably trained, versioned, deployed, and monitored in both cloud and edge environments. You will be a key driver in elevating Circadia's ML practice – from reproducibility and experiment tracking to CI/CD for models and operational observability. This is a high-ownership role at a lean company where production reliability, rapid iteration, and pragmatic engineering are essential. Your work will directly impact patient outcomes by ensuring our predictive models are always running, always accurate, and always improving. Key Responsibilities ML Pipeline Orchestration & Automation • Own and extend Circadia’s ML pipeline orchestration using Apache Airflow, including training, evaluation, and deployment workflows., • Build and maintain automated pipelines for model retraining, validation, and promotion across development, staging, and production environments., • Implement pipeline monitoring, alerting, and failure recovery to eliminate silent failures and ensure operational reliability., • Deploy and manage ML models on AWS infrastructure (e.g. AWS Batch for batch inference workloads)., • Support deployment of models to edge devices, including Circadia’s clinical monitoring hardware, working with firmware and embedded engineering teams as needed., • Manage model versioning, promotion, and rollback workflows through the MLflow model registry., • Maintain and improve the MLflow-based experiment tracking and model registry infrastructure., • Establish conventions for experiment logging, artifact storage, model metadata, and lineage tracking., • Implement and maintain training data versioning and dataset management practices to ensure reproducibility of model training runs., • Track dataset lineage, labeling provenance, and feature dependencies alongside model versions., • Build monitoring systems for model performance in production, including data drift detection, prediction quality tracking, and alerting on degradation., • Implement operational dashboards for pipeline health, compute utilisation, and deployment status., • Collaborate with data engineering to ensure upstream data quality and pipeline reliability for ML feature inputs., • Manage and optimise AWS compute resources (Batch, EC2, or similar) used for model training and inference., • Design infrastructure-as-code solutions for reproducible ML environments., • Drive cost optimisation across ML compute, storage, and data transfer., • Introduce and champion ML engineering best practices including CI/CD for models, automated testing for ML pipelines, and reproducible training workflows., • Build internal tooling and templates that accelerate the ML development-to-production cycle., • Document operational processes, architecture decisions, and onboarding materials for the ML platform., • Ensure all ML pipelines and infrastructure meet healthcare security and privacy requirements, including HIPAA and SOC 2., • Apply best practices for handling Protected Health Information (PHI) in training data, model artifacts, and inference outputs., • Maintain audit trails for model decisions, data access, and deployment history. Attributes Required Qualifications • 4+ years of experience in MLOps, ML Engineering, DevOps, or a closely related infrastructure role., • Strong proficiency in Python for ML pipeline development, tooling, and automation., • Hands-on experience with ML pipeline orchestration tools, particularly Apache Airflow., • Experience with model registries and experiment tracking platforms (MLflow preferred)., • Experience deploying and operating ML workloads on AWS (Batch, EC2, S3, IAM, CloudWatch)., • Solid understanding of the ML lifecycle: training, evaluation, deployment, monitoring, and retraining., • Experience with containerisation (Docker) and infrastructure-as-code., • Proficiency with Git and version control workflows., • Familiarity with SQL and data warehousing platforms (Snowflake preferred)., • Experience implementing monitoring, logging, and alerting for production systems., • Strong debugging and incident response skills for complex distributed systems. Preferred Qualifications • Experience deploying models to edge or embedded devices., • Background in healthcare, medical devices, or clinical data systems., • Familiarity with model serving frameworks (e.g., TorchServe, TF Serving, Triton, or custom solutions)., • Experience with CI/CD systems for ML (e.g., GitHub Actions, Jenkins, or similar)., • Experience with data versioning tools (e.g., DVC, LakeFS, or similar)., • Experience supporting data science or ML research teams in a production context., • Exposure to HIPAA compliance and healthcare security best practices., • Experience with distributed compute frameworks (e.g. Apache Spark, Dask) for large-scale data processing., • Experience with streaming or real-time inference architectures. What You Bring • You take ownership of ML infrastructure end-to-end — from training pipelines to production monitoring., • You care deeply about reliability, reproducibility, and operational excellence in ML systems., • You have strong opinions (loosely held) on how to build a great ML platform, and you’re eager to put them into practice., • You are comfortable working in a startup environment where you’ll wear multiple hats and move fast., • You communicate clearly across engineering, data science, and clinical teams., • You’re motivated by building technology that directly improves patient care. Why Circadia Health Circadia Health is redefining patient monitoring through contactless sensing and AI-driven clinical insights. As we scale from tens of thousands to hundreds of thousands of monitored patients, our data infrastructure is central to everything we do. You’ll have the opportunity to: • Work on real-world healthcare problems with measurable patient impact, • Build data systems that power clinical-grade AI and ML, • Take ownership in a fast-growing, mission-driven company, • Collaborate with a highly skilled, multidisciplinary team.

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. About the role We have a brand-new opportunity for an Associate Electrical Engineer to join our team based in our London office. It's an exciting time to join Hoare Lea. As the largest within the firm, our London office has a broad and far-reaching experience covering all sectors. It’s a real hive of activity, home to both MEP engineers and a variety of other specialist groups. Working with our specialist groups, you will be joining a collaborative, knowledgeable, highly engaged team who love what they do. Our team have a wealth of experience and offer a positive, supportive and flexible culture. We have a proven track record working within the Residential, Commercial, Healthcare, Science & Research and Mission Critical & Data Centre sectors. Working alongside a range of specialist engineers and consultants, you will be joining a collaborative, knowledgeable, highly engaged team who love what they do, and offer a supportive, flexible, and high performing work culture. As an Associate Engineer, you will be responsible for supporting and delivering designs for a range of project types and sizes. You will work within a multidisciplinary team of engineers and consultants delivering design solutions of the highest standard for our clients, while securing repeat and new business opportunities. A critical aspect of this role is to support and develop a team of technically competent, collaborative, and highly engaged team members. In this key and varied role, you can expect to: • Be responsible for the day-to-day technical delivery of the electrical design services for multi-disciplinary projects across a number of building sectors., • Lead the development of initial strategic concepts for projects ensuring solutions are appropriate for the brief and regulatory standards., • Interact regularly with internal and external stakeholders, ensuring a communicative, collaborative and timely approach to delivery This is a client-facing role, so you will be attending project meetings and disseminating / translating the brief within the project team., • Work with the team leader to help monitor fee expenditure, resources and work delivered., • Mentor and support our ‘next gen’ professionals, including apprentices and graduates. About you To be successful in this role you’ll need: • Proven experience working as an Electrical Engineer or in a closely related role, with a track record delivering on a variety of complex projects., • Experience of modern technical delivery processes, and use of relevant software/tools such as BIM, Revit, Electrical OM, Dialux and Relux., • Demonstrable experience working with clients/contractors / architects in a design-oriented / consultant role., • Self-awareness, an open mind, and a spirit of generosity., • Experience in supporting others to develop knowledge, skills, and confidence. 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, ___ 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.

Senior Quant Developer (Python) - Equities StatArb - London - Up to £500k+ TC Custom-built, high-performance Python DAG framework powering everything from research to live execution. Same codebase, same infrastructure, zero friction between backtesting and production P&L. A global systematic investment manager ($6bn+ AUM) is expanding their Equities StatArb platform. Live since 2021, trading 24/6 globally. Unified graph-based framework (DAG) across research, production, analytics, risk, and P&L. Deep Numpy/Numba work, processing vast historical datasets and real-time tick data. You'll contribute to shared tooling that researchers actually rely on. You'll sit between researchers and the live trading desk, designing and owning critical pieces: portfolio construction, execution optimisation, transaction cost analysis. Direct line of sight to P&L. Brand new City offices. Open floor plan, non-siloed. 60% of staff have 6+ years tenure. Technology is front-line, not a cost centre—real scope for mobility between desks, strategies, and business lines. What you'll need: • 5+ years as a Quant Dev in a systematic hedge fund (StatArb/equities experience ideal), • Deep Python expertise (Numpy/Numba), • Strong grasp of statistical methods, numerical optimisation, and equity market microstructure, • Experience with Unix internals and graph-based data processing frameworks What you'll be doing: • Building and supporting complex StatArb strategies across large-scale data processing, modelling, portfolio construction, and execution, • Contributing to the design of the DAG framework used across the entire stack, • Working closely with researchers to build tooling, shared libraries, and frameworks that they actually rely on, • Taking ownership of system components in a fast-paced, agile setup Compensation is genuinely uncapped, this could go north of £500k TC for the right person. No fixed budget, just a question of fit and impact. We encourage you to apply even if you don't tick every box, proven academics, willingness to learn, and genuine intellectual curiosity count for a lot here. Note: if you haven't received a reply within 3 days, your application was unfortunately not accepted. Senior Quant Developer (Python) - Equities StatArb - London - Up to £500k+ TC

About Elysium Robotics We are opening a London, UK based office. Elysium Robotics is an early-stage company headquartered in Austin, Texas, developing revolutionary low-cost, highly capable robotic systems with dexterity and natural grace. Our proprietary muscle-like elastic actuator technology addresses a decades-old challenge in robotics, enabling automation for tasks current robots cannot do. These microfiber actuators enable real bio-mimetic design opportunities based on the same muscle fiber actuation principles biology engineers with. We're building a world-class team of curious, independent, and highly skilled makers tackling ambitious challenges in robotics. If you thrive on solving impossible problems, pushing boundaries, and creating just because you can't not—we should talk. But if this isn't your dream, spare us and yourself. We are opening a software focused office in London that will support and collaborate with the core team in Austin, TX. This UK based team will be responsible for Robotic System Design, Simulation, Task Control, and Training, along with Lab Data and Analytics Systems. Role Overview As a Senior Robotics Controls Engineer, you will define how robotic systems built with our proprietary muscle-like actuators move and interact with the world. You will develop the closed-loop control algorithms and policies that enable robust and reliable capabilities, such as dexterous manipulation or energy efficient locomotion utilizing natural resonance in the elastic actuation system. You will get to design the world's best control architecture for elastic muscle fiber based reciprocal tensile actuation systems. Eventually you will figure out how to control systems with 200k elastic actuators, on scale with the number of human fiber-bundle actuator units. Key Responsibilities • Muscle Control: Support the development of closed-loop stiffness control for muscle bundles; use experimental data to identify non-linear behaviors and adapt models to manufacturing variance., • Bio-inspired Architectures: Design and implement reciprocal elastic muscle control strategies to independently control torque and stiffness across complex robotic systems., • High-DOF control: Develop control strategies that can scale to hundreds and thousands of elastic actuators., • Dynamics Controls: Implement algorithms for controlled resonance for rhythmic tasks like walking, hammering, or sawing., • Maintain Prototypes: Manage prototype hardware for testing. Systems will be created by US team., • Simulations: Work closely with Simulation and Design Engineers to explore control concepts in simulation platform prior to hardware implementation. Qualifications • Deep expertise in Impedance Control, Model Predictive Control (MPC), and ML-based policy learning., • Experience with Elastic Actuation and active/passive compliance., • Familiarity with whole-body or multi-contact manipulation strategies., • Advanced degree (MSc/PhD) in Robotics or related field preferred. Why Join Elysium Robotics UK? • High Impact: Help build a new team in the UK from the ground up, supported by the leadership of our US HQ., • Complex Challenges: Solve deep-tech problems at the frontier of materials science, ML, and robotics., • Flexibility: We offer a bias towards remote work while maintaining a key hub in the UK's premier tech corridors., • Elite Talent: Work alongside senior, self-directing engineers in a flat, fast-moving organization. Location: Initial hires will work from home with the expectation that a central office will be established in the coming months. This office will likely be in Central London or Kings Cross area, and a flexible hybrid schedule of in-person and remote work will be established. Who We're Looking For • Science & Engineering: Multidisciplinary engineers with expertise in material sciences, soft robotics, bio-inspired/tendon-driven robots, high-voltage (~1-5 kV) electronics, and first-principles problem solving. You need to code—at least enough to analyze your data. If your peers call you a Jedi, or if you've built your own unique 3D printer or CADed, printed, PCBed, and coded a robot, you're perfect for us. If your expertise is limited to coding PLCs, industrial automation, or ML models, we're not there now., • Culture Fit: We want self-taught wizards who also learn from others. Are you curious? How do you learn? What makes you lose track of time? How to Apply (Hint: Impress Us) • Show Us Your Work - Send at least three outstanding projects that showcase your mastery. Pictures and videos, please., • Tell Us Why You Built It - What problem were you solving? What did you learn? We admire good ideas executed well and bad ideas executed brilliantly if they pushed boundaries., • Tell Us What You Did - If it was a team project, clarify your role. Were you the one who lost sleep to make it happen?, • Do Your Research - Read up on what we do, where we are, and how your skills fit. If your email could be sent to any startup, don't send it to us. Be specific about why we need you., • Skip the Fluff - Show us your work on our field, or articulate why you like our approach. No copy-paste enthusiasm., • Be Succinct - If you had one sentence or picture to convince us, what would it be? Lead with that. Follow with amazing details if necessary., • What's Your Favorite Robot? - Real or sci-fi, doesn't matter. Why does it fascinate you?, • Are You Using AI? - How? What excites you? What frustrates you? What to Send 📩 • A brief, convincing paragraph or two, • A portfolio or links showcasing your best work, • A short explanation of why you built those projects We are an equal opportunity employer. If you require any reasonable adjustments during the application or interview process, please let us know.

Senior AI Engineer (NLP / LLMs) – remote (UK based) £70-100k depending on experience A high-growth SaaS company is hiring a Senior AI Engineer to help build intelligent, mission-critical systems used in highly regulated environments. The platform applies machine learning and large language models across complex, end-to-end data workflows, solving real-world problems with measurable social impact. The Role As a Senior AI Engineer, you’ll design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business and regulatory requirements into scalable, reliable AI systems. This is a hands-on role for someone who enjoys owning outcomes, balancing experimentation with real-world delivery. What You’ll Be Doing • Designing and developing NLP and LLM-driven solutions for complex, real-world use cases, • Fine-tuning and adapting foundation models using domain-specific data, • Building evaluation frameworks, prompt testing tools and data preprocessing pipelines, • Monitoring, optimising and maintaining deployed models for performance, cost and reliability, • Implementing explainability, fairness and bias-mitigation strategies, • Collaborating on MLOps pipelines, CI/CD workflows and production deployments, • Mentoring junior engineers and promoting best practices across the team, • Staying current with advances in AI, NLP and MLOps to drive continuous improvement What We’re Looking For • Proven experience as an AI or Machine Learning Engineer with end-to-end model ownership, • Strong expertise in NLP and LLMs (transformers, fine-tuning, RAG, agents), • Experience translating research and experimentation into production systems, • Solid understanding of MLOps, including CI/CD, monitoring and model lifecycle management, • Hands-on experience with Docker and Kubernetes, • Experience working in regulated or sensitive domains, • Exposure to graph-based retrieval techniques, • Experience with Azure ML and DevOps integrations

Are you passionate about building real, production‑grade AI systems—not just prototypes or research models? We’re partnering with a fast‑growing, well‑funded AI‑native consultancy that delivers enterprise‑scale AI solutions to major organisations across Financial Services, Energy, Healthcare, Retail, and Manufacturing. Working alongside global partners such as Anthropic, Databricks, AWS, OpenAI, and Microsoft, the team focuses on designing and deploying advanced AI systems that solve complex real‑world problems with speed, clarity, and measurable impact. As part of their expansion, we are looking for experienced AI Engineers who can build robust, scalable applications powered by large language models. The Role As an AI Engineer, you will design, build, and deploy production‑grade LLM‑powered systems. This role sits at the intersection of software engineering, AI implementation, and agentic orchestration. You will work on: • Multi‑agent architectures, • Intelligent tool and API integrations, • RAG pipelines and vector‑based retrieval, • Evaluation frameworks and AI observability Key Responsibilities • Build production AI systems using LLMs, RAG pipelines, vector databases, and agentic frameworks, • Design evaluation and observability frameworks to measure performance, accuracy, and reliability, • Develop clean, scalable applications with proper error handling, APIs, and data pipelines, • Implement and maintain retrieval systems (vector/graph databases, ingestion pipelines, chunking strategies, advanced retrieval methods such as HyDE), • Integrate feedback loops to improve system behaviour over time, • Craft effective prompts and optimise latency, cost, and output quality across multiple model providers, • Hands‑on experience building applications using LLM APIs, • Deep understanding of model capabilities, limitations, and failure modes, • Practical experience with RAG, vector databases, knowledge graphs, and prompt engineering, • Experience building multi‑step LLM workflows and agentic systems (e.g. LangChain, LangGraph, Claude Agents SDK, Strands, or custom frameworks), • Strong proficiency in Python (or similar language) and developing production APIs/services, • Cloud experience with AWS, GCP or Azure, • Solid understanding of distributed systems, CI/CD, testing frameworks, and deployment pipelines, • Experience designing or operating cloud‑native, production‑grade infrastructure, • Strong data manipulation skills (Pandas, SQL), • Experience with AI‑assisted coding (Claude Code, GitHub Copilot, etc.), • Experience fine‑tuning LLMs or deciding when to use fine‑tuning vs RAG/prompting, • Exposure to streaming, multimodal models, or search technologies (Elasticsearch, etc.), • Familiarity with observability tools (LangSmith, Weights & Biases), • Experience in regulated or industry‑specific environments (finance, energy, healthcare, legal, retail), • A fast‑growing organisation with significant opportunities for career progression, • Highly competitive salary + bonus, • A collaborative, engineering‑driven culture where you’ll make an impact from day one, • Financially strong, well‑backed business with global expansion plans, • Choose your own gear (MacBooks, PCs, accessories), • Dedicated learning & development budget

Python Software Engineer - Observability Engineering - Quant Research (You must have the right to work in the UK to be considered for this position) London (Hybrid) | c.£150k base + bonus • I’m working with a top-tier quant trading firm building one of the most advanced automated research and trading platforms globally., • They’re looking for a Python Software Engineer to join their Observability Engineering team, building the telemetry and monitoring infrastructure that underpins hundreds of services across the organisation. The Role • Build and maintain systems that handle cloud-scale volumes of telemetry data, • Extend and maintain OpenTelemetry collectors, SDKs and exporters, • Design and improve telemetry pipelines and observability backends, • Work with engineering teams to implement instrumentation standards and “Golden Paths”, • Improve incident response and operational visibility through better telemetry coverage, • Build tooling and libraries that improve developer productivity and platform observability Tech Environment • Python, • Kubernetes, • OpenTelemetry, • Prometheus / PromQL, • VictoriaMetrics, • OpenSearch, • Grafana, • Terraform, ArgoCD, Helm, Jenkins What they’re looking for • Strong Python backend engineering experience, • Experience working in Kubernetes / cloud-native environments, • Interest or experience in observability, monitoring or telemetry systems, • Comfortable building distributed systems and internal developer tooling, • Strong problem-solving skills and the ability to collaborate across engineering teams Package If you’re interested in building large-scale observability platforms in a high-performance engineering environment, please apply.

We’re working with a leading fixed income hedge fund in London that is expanding its front‑office engineering team. The fund has a strong performance track record, a deep commitment to technology, and a culture where engineers work side‑by‑side with quants and traders to build the systems that drive the investment process. In this role, you’ll help design, build, and enhance a range of high‑impact trading and research platforms. Projects vary from core trading system development to front‑office tooling, data‑driven applications, and the use of machine learning across the investment workflow. It’s a fast-moving, highly technical environment where code quality, performance, and reliability matter. The team runs weekly sprints, uses modern engineering practices (PR reviews, rapid releases, continuous development), and has a strong track record of developing talent. We’ve partnered with this group and their CTO, for several years and have placed multiple engineers into the team, so can provide detailed insight into structure, expectations, and progression. The fund looks for low‑ego, high‑performing engineers who enjoy ownership, collaboration, and solving complex problems with pragmatic, commercial solutions. You’ll have direct interaction with PMs, quants, and the CTO, contributing across design, architecture, and production support. Tech Environment • C# and .NET are central to the team’s core systems, • Python is widely used across quant and data groups, • Open to candidates from other OO backgrounds (C++, Java, Go) with strong fundamentals, • Exposure to high‑performance, low‑latency, or business‑critical systems is valuable, • Financial markets experience is not essential, but interest in Fixed Income/Rates is beneficial Requirements • Strong academic background in Computer Science or related field, • Excellent programming ability in C# and .NET, • Experience with large or complex data sets, • 1–5 years’ experience in a software engineering role, • Interest in finance; exposure to fixed income or systematic environments a plus, • Positive, pragmatic, collaborative mindset Due to demand, this role is advertised anonymously. If preferred, submit a blank application and we will contact you before requesting a CV. We can only respond to highly qualified candidates.

Founding Engineer | TypeScript, Python & AI Systems | Building AI Infrastructure for Pharma Salary: £100-130k Location: Hoxton The Role You will join as a Founding Engineer in a seed-stage AI startup building systems that transform how the pharmaceutical industry processes critical information. You will help design and build the core platform that ingests global pharma data, applies AI reasoning, and turns raw information into actionable insight and automated workflows for enterprise customers. Working directly with the founders, you will shape the architecture, infrastructure, and engineering culture from day one while building a product designed to scale into a major enterprise platform. What They’re Looking For • TypeScript development, • React frontend development, • Python development, • PostgreSQL database architecture, • LLM orchestration and prompt engineering, • Data ingestion pipelines including APIs, RSS feeds, and web scraping, • Vector databases and modern AI data pipelines, • Cloud infrastructure and SaaS deployment, • Observability, testing frameworks, and CI pipelines, • Proven ability shipping real products such as SaaS platforms, production data pipelines, open-source tools with users, or meaningful side projects, • Strong engineering fundamentals and ability to learn new technologies quickly, • AI coding tools including Cursor, Copilot, Claude Code, or similar Nice to Haves • Healthcare or pharmaceutical data systems, • Biotech or regulatory data experience, • Multi-tenant SaaS architecture, • Enterprise platform deployments, • Data modelling and medallion-style data pipelines, • Security architecture and authentication systems Why Join / Projects You will help build AI systems that continuously monitor global pharmaceutical data sources including regulators, clinical trials, patents, and financial disclosures. The platform turns this information into actionable intelligence and automated workflows for enterprise customers. Instead of teams manually reading filings and reports, the system detects and explains what matters in real time. The founding team combines advanced AI research, pharmaceutical modelling expertise, and experience building data platforms used by major hedge funds. The company is already working closely with enterprise customers and is building a product designed to scale quickly. You will help define the engineering culture, architecture, and technical standards from the earliest stage while building a platform capable of scaling into a major enterprise product. Employee Benefits • £100,000 to £130,000 base salary, • Meaningful founding engineer equity, • Direct collaboration with founders on product and strategy, • Travel to the United States to work with enterprise clients, • Real ownership of product architecture and engineering culture, • London office working alongside a highly ambitious founding team Founding Engineer | TypeScript, Python & AI Systems | Building AI Infrastructure for Pharma

Senior Radar Analyst Enfield, North London | Hybrid/On-site | Permanent Up to £65,000 doe We are seeking Senior Radar Analyst to join a global defense organisation in their Research & Development team. This role will focus on analysing radar and related systems, developing new radar design concepts, and modelling current and next-generation radar technologies to support system performance and development. Key Responsibilities • Develop mathematical models of radar and radar sub-systems using MATLAB, Simulink and Mathcad, • Analyse radar system performance and produce technical reports, • Design and develop digital signal processing algorithms, • Provide design data and technical support to hardware and software teams, • Support validation and testing of developed systems, • Work closely with suppliers and technical partners to ensure performance targets are met, • Contribute to the development of new radar systems and technologies, • Prepare and present technical material to internal and external stakeholders Requirements • Bachelor’s or Master’s degree in a relevant engineering or scientific discipline, • Experience with MATLAB and Digital Signal Processing, • Knowledge of radar or related fields such as sonar, communications, or image processing, • Strong analytical and problem-solving skills, • Proven ability to deliver technical work on time and within budget, • Strong written and verbal communication skills, • Ability to travel occasionally within the UK and internationally Desirable Experience • Pulse Compression, Doppler Filtering, CFAR or radar detection techniques, • Radar video/image processing, tracking or phased array radar, • Embedded software, Linux or FPGA development, • RF, antenna or radar electronics, • Programming experience in Python or C/C++ This is an exciting opportunity to play a key role in the development of next-generation radar systems within a highly technical R&D environment. If you are interested in the Senior Radar Analyst role then please apply today. Unfortunately there is no sponsorship opportunity with this position.

Software Engineer London / Hybrid | Perm Role £60,000 - £80,000 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 -

Permanent Hybrid Working The Change Partners are working with a global leader in the travel software space to find looking for an ML Engineer to join their Marketing Measurement Analytics team. This is a high-impact role where your code directly influences how brands like global booking platforms allocate investment and drive growth. You’ll be embedded in the core team responsible for driving global consumer growth. Your job is to solve a complex puzzle: how do we quantify success at scale? You will balance your time between stabilising a high-traffic experimentation platform and innovating on new, flexible measurement frameworks. Your Responsibilities: • Scale Experimentation: Support engineering teams in maintaining a platform that runs 300+ experiments a year. You’ll troubleshoot performance, enhance logging, and ensure the system never blinks., • Optimise Core Logic: Fine-tune the "math under the hood," including stratified sampling, simulations, and regression frameworks., • Bridge the Gap: Take raw research prototypes and transform them into robust, production-grade code libraries that other teams can actually use., • Build Data Pipelines: Design and deploy scalable pipelines using PySpark to handle massive datasets for experiment execution., • Collaborate: Work cross-functionally with Data Scientists and Software Engineers to turn complex requirements into seamless deployments. What We’re Looking for: • You have a degree in CS, Math, or Engineering, Data Science3, • Expert with Python, SQL, and PySpark., • 3+ years in a similar role with a globally recognised large brand, • Production Experience: You’ve built and shipped scalable systems before (ideally with ML/AI components), • DevOps Mindset: You’re comfortable with version control, unit testing, and automated deployment pipelines (GitHub Actions)., • You built reusable frameworks and modular code that lasts., • Bonus Points: If you’ve worked with AWS/GCP, understand the nuances of A/B testing, or have a passion for open-source development, we definitely want to talk. Please note this role doesn’t offer sponsorship. Please apply to learn more about the role.

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. We are looking for the Senior Perception Engineer - Spatial Understanding & Navigation to join our team based in London, UK. What You'll Do • Develop next-generation spatial understanding systems for robot locomotion and manipulation, integrating perception and high-level reasoning., • Work on open-ended navigation powered by Vision-Language-Action (VLA) models — enabling robots to understand context, predict intent, and act in complex, dynamic environments., • Design and scale auto-labeling and large-scale data pipelines to train and evaluate multimodal models for navigation and interaction., • Develop and implement scene understanding and 3D reconstruction methods that give robots persistent spatial memory and geometric awareness., • Collaborate with cross-functional research and engineering teams to bring large vision-language models into real-world robotic systems., • Stay ahead of the field — rapidly evaluate new model architectures, benchmarks, and datasets to guide our embodied AI roadmap What We're Looking For • Deep experience in machine learning for vision or embodied AI, ideally with large models (VLMs, VLAs, transformers, diffusion, or multi-modal architectures)., • Strong background in scene understanding, spatial reasoning, or 3D reconstruction from visual data., • Proficiency in PyTorch and hands-on experience building, fine-tuning, and deploying large-scale ML systems., • Strong experimental and research skills — capable of taking projects from concept to model training, evaluation, and robot integration., • Comfortable working in a fast-moving, research-driven environment with evolving models, data, and tools. What We Offer • Competitive salary plus participation in our Employee Stock Option Plan, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Private Health Insurance, • Office perks: free hot breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

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 a variety of neurodegenerative diseases and cancer. Sustainably addressing these diseases requires breakthrough therapeutics, AI/ML innovation, and transformative business models. The Opportunity This is a ground-floor opportunity to shape the future of AI-driven population health management at Onsera Health. Backed by Population Health Partners (PHP)—the proven venture platform behind Metsera (Acquired by Pfizer), Areteia Therapeutics, and Corsera Health—we're building the future of population health. As an AI Engineer, you'll be core to designing and developing patient facing agentic AI systems. You'll work closely with the Clinical and Product teams to operationalize production-grade agentic workflows, design experiments, and rigorously evaluate model performance to ensure impact and safety. You'll build voice based intake workflows, patient engagement systems, clinician-facing tooling and more. Responsibilities • Design and develop patient-facing agentic AI systems, including voice-based intake workflows, patient engagement tools, and clinician-facing applications, • Build and deploy production-grade agentic workflows using LLMs, ensuring reliability, safety, and clinical appropriateness, • Design experiments and rigorously evaluate model performance across accuracy, latency, safety, and user experience metrics, • Partner closely with Clinical, Product, and Engineering teams to translate clinical requirements into robust AI solutions, • Communicate technical approaches and findings to both technical and non-technical stakeholders through clear documentation and presentations What we offer • Mission-driven work addressing critical public health and healthcare economics challenges, • Ground-floor opportunity to shape a breakthrough healthcare AI solution, • Partnership with a world-class team of venture capitalists, 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 • 2+ years of experience in AI/ML engineering, software engineering with ML focus, or a related field (exceptional recent graduates with strong project experience or research welcome), • BS or MS in Computer Science, Machine Learning, Mathematics, or a related quantitative discipline, • Strong Python proficiency and hands-on experience building with LLMs (prompt engineering, RAG, function calling, agent frameworks), • Experience with agent orchestration frameworks (e.g., LangGraph), • Strong software engineering fundamentals such as writing clean code, version control, testing, • Excellent communication skills and comfort working in fast-paced, cross-functional teams Preferred qualifications • Experience building voice AI or conversational AI systems, • Experience with patient-facing systems, • Familiarity with cloud infrastructure (GCP, AWS, or Azure), • Exposure to evaluation and safety tooling for LLM-based systems (guardrails, human-in-the-loop review) About the Venture We are an early-stage health AI company revolutionizing cardiometabolic care and economics. Our unique position within the PHP ecosystem provides: • Venture Track Record: A proven track record of success in incubating innovative biotech and healthcare companies, • Deep Capital: Funding runway and resourcing to support deep technological/scientific R&D and to drive growth, • Strategic Guidance: Direct access to industry pioneers (including founders of The Medicines Company and Metsera), strategists (McKinsey/QuantumBlack alumni), and world-class scientific talent (e.g., scientific leaders at Oxford University Ellison Institute of Technology), • Expert Network: Established connections across pharma, payers, and providers, • Startup Agility: Ownership in the venture, founder mentality, and ground-floor impact PHP 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 (NASDAQ: MTSR), Areteia Therapeutics, 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.

If you’re bored of “AI” that’s just a chatbox on top of GPT, this is for you. This could be your chance to work on a platform used by PE funds, insurers, and other high‑stakes teams to actually automate work on millions of documents – real workflows, not cool demos that die in slide decks. We’re looking for an AI Solutions Engineer who loves three things: • Writing python, • Untangling messy business problems, • Getting stuff into production. You’ll sit in the thick of it – pre‑sales, build, and post‑sales expansion – alongside sales, product and founders. What you’ll actually do • Jump into late‑stage deals and help figure out “what are we really solving here?”, • Design and build multi‑step, deterministic agents with humans in the loop where it matters, • Wire everything up: APIs, CRMs, spreadsheets, inboxes – whatever the customer actually uses, • Write Python to do the glue work: transforming schemas, running proprietary models, stitching weird edge cases together, • Keep 8–10 projects moving at once, making smart trade‑offs, not perfect architecture diagrams Some flavour of projects • A PE fund that gets ~300 pitch decks/reports a week – the team you would be joining helped them auto‑extract the numbers, run their LBO models in Python, and ship a partner‑ready deck every week, • Underwriting workflows that need full audit trails back to the original docs, • Real estate teams who want to ask a question about thousands of leases and get an answer – with citations – in seconds You might be a fit if • You write solid Python and actually enjoy debugging ugly real‑world data and integrations, • JSON, APIs and webhooks are just part of how you think about systems, • You’ve built data/ML/automation workflows before and can roughly sketch how they fit together This is not for you if • You want a pure research role or just to fine‑tune models all day, • You hate talking to customers, or need a fully scripted playbook What you get • A front‑row seat in one of the more interesting corners of applied AI, • A tight Solutions Engineering team in London that actually likes being in the office together, • A role where what you build is live, used, and directly tied to revenue and renewal FAQ's Salary: £80 000 - £110 000 + Equity + Bonus Office: In Soho Days in the office: 3 days week (most of the team do 4 as they like working together) If this sounds like you and you want to know more, send an email to with “Solutionize Is Not A Word” in the subject line. Include a CV if you have one ready, otherwise a LinkedIn profile and 3-4 lines in your own words as to why this role sounds interesting. All applications received as above will be reviewed by a human (me) and will get feedback. LinkedIn applications may not all be reviewed due to volume and lack of relevance.

About the Company Electronic circuit boards are at the core of current and future inventions - space travel, medical robotics, autonomous transportation, augmented reality, bio-engineering. Yet today designing an electronic circuit board is an extremely manual, long and tedious process. At Circuit Mind we believe that this is wrong and we are on a mission to fix it, triggering the future of hardware design. To achieve its mission, Circuit Mind has created a library of electronic component digital twins. Each digital twin models the data of the component’s datasheet. These digital twins are then utilised by Circuit Mind’s platform to generate circuit designs that align with user specifications. We are creating an entirely new software engine for circuit boards, that takes as inputs the requirements of a circuit board and automatically outputs a complete design, ready for manufacture. About the Role Your mission is to drive the successful delivery of customer electronics design projects using Circuit Mind’s ACE platform; either enabling end users to execute projects independently or taking full ownership of execution yourself. Responsibilities • Assess design requirements and leverage your expertise to guide the users in generating those designs in Circuit Mind’s ACE platform., • Lead and perform AI-assisted customer projects using Circuit Mind’s ACE platform to demonstrate faster, higher quality design outcomes than the traditional manual design process., • Run training and support meetings with users to ensure they effectively achieve their objectives using Circuit Mind’s ACE platform., • Research and identify new components that meet customer project requirements to be added to the Circuit Mind platform., • Collaborate with the customer success and software team to troubleshoot issues with designs run user issues, manage and execute the resolution of these issues and communicate the resolution to customers promptly., • Collaborate with the software and product team to identify key functionalities that can be developed to improve the value of ACE., • To fulfil the above, you’ll develop an intimate understanding of the abstractions and algorithms that ACE uses to generate circuit designs. Qualifications and Required Skills • 5+ years experience in designing electronic circuit boards, • Ability to understand user needs and challenges and to effectively devise and articulate tailored solutions, • Strong communication skills, • Strong attention to detail Preferred Skills • Basic software development experience, • Experience in a Software as a Service (SaaS), Design Software (ECAD, MCAD, Simulation etc.) or startup company Pay range and compensation package • Collaboration with a friendly world-class team., • Above market rate salary and meaningful equity., • 25 days of annual holidays plus bank holidays., • Flexible working hours with two days a week in the office., • 5 weeks per year to work wherever you want in the world., • London Bridge office., • Extended parental leave., • Annual Retreat., • Learning and development budget to support your professional development. Equal Opportunity Statement At Circuit Mind we value diversity and foster an inclusive environment. If you have an additional necessity or disability that requires accommodation, please let us know so we can adjust the interview process to your needs. We also ensure that Circuit Mind’s straight-forward and efficient hiring process respects your time.

PaymentGenes is proud to be partnering with a high-growth, international technology organisation to appoint a Senior / Lead Data Scientist (AI-Native, AWS ML Stack, Production-Focused). This is a strategic hire within a business scaling real-world AI solutions — moving beyond experimentation into production-grade, AI-powered systems embedded directly into enterprise workflows. If you are passionate about deploying scalable ML systems that deliver measurable commercial impact, this opportunity is for you. This role goes beyond model experimentation! You will design, deploy, and scale AI-driven solutions using modern foundation models and AWS-native machine learning infrastructure. From LLM-powered agents to predictive models embedded in automated workflows, your work will directly influence business operations at scale. You’ll operate at the intersection of modelling, engineering, and intelligent automation. 🌐 What You’ll Do 🧠 Model Development & AI Systems Design • Design and train predictive models using AWS SageMaker, • Develop LLM-powered systems via AWS Bedrock (including Claude integration), • Build RAG pipelines combining structured and unstructured data, • Develop evaluation frameworks for accuracy, bias, and robustness, • Architect reasoning agents using advanced foundation models, • Use code-generation tooling for automation logic and integration scripting, • Orchestrate multi-step AI workflows, • Deploy AI-powered decision layers into enterprise processes, • Deploy and manage models using SageMaker (training, endpoints, pipelines), • Leverage Bedrock for foundation model access, • Implement serverless inference with Lambda & API Gateway, • Utilise S3, Glue, Athena for data processing, • Implement CI/CD for ML workflows, • Monitor performance via CloudWatch and drift detection tooling, • Build reproducible ML pipelines, • Implement model versioning and dataset tracking, • Design structured output validation and guardrails, • Monitor performance and trigger retraining cycles, • Identify high-impact AI use cases, • Translate business problems into ML system designs, • Lead experimentation frameworks (A/B testing, uplift modelling), • Mentor data scientists and collaborate closely with data engineering, • Communicate AI strategy and risk to senior stakeholders 🛠 Technical Environment Core Data Science • Advanced Python & SQL, • Statistical modelling & ML algorithms, • Feature engineering, • SageMaker (training, endpoints, pipelines), • Bedrock (foundation models incl. Claude), • Lambda (serverless inference), • S3, Glue, Athena, • CloudWatch, • Foundation models for reasoning workflows, • Code-generation tooling for automation scripting, • Agent orchestration frameworks, • Enterprise workflow automation tools, • RAG architectures, • Embeddings & vector stores 👤 What We’re Looking For • 6–10+ years in data science or applied ML, • Proven experience deploying ML models into production, • Hands-on experience with AWS-native ML services, • Experience building LLM-powered workflows or AI agents, • Demonstrated delivery of measurable business impact You’ll Thrive If You Have: • Strong problem-framing ability, • Systems-level thinking beyond model accuracy, • AI governance awareness, • Clear communication across technical and executive audiences, • A bias toward practical deployment over research-only outputs 💡 Example Projects You Might Deliver • Production fraud detection model deployed via SageMaker endpoint, • Internal AI copilot powered by Bedrock and embedded into workflows, • RAG-based compliance monitoring assistant, • Automated revenue forecasting pipeline with retraining triggers, • AI-driven document intelligence system (classification + extraction) 📈 What Success Looks Like • Reduced time from model prototype to production, • Stable, monitored ML endpoints delivering measurable ROI, • Improved decision accuracy in automated workflows, • Strong adoption of AI-enabled tools across the business, • Controlled infrastructure cost per inference This is a rare opportunity to build AI systems that operate at real scale within a forward-thinking technology environment. If this excites you, please reach out to the PaymentGenes team directly via LinkedIn, who can provide more detail and insight into this company's journey into AI and the opportunity.

About Native Native is a VC backed AI startup building the world’s most accurate AI for databases reasoning. This is hard. This is an unsolved problem that once solved will change how every enterprise operates. We recently published our results, achieving rank 1 on the industry standard benchmark. Our research team is based in London. Everyone has high agency, obsessed with the problem we are solving, embraces the intensity of a 6-day week and has the ambition to build something world changing. We are a exceptional engineers and researchers taking a novel approach to accurate database reasoning. About the role This is a founding role, with opportunity to shape the architecture from day one. • Productionise research into robust backend services, • Design and build APIs used by internal systems and customers, • Work deeply with databases (SQL, complex schemas, real-world data), • Own scaling, performance, and reliability of backend systems, • Design for correctness, observability, and reproducibility, • Think through edge cases, failure modes, and system boundaries, • Help shape the backend architecture of the company from early days Required experience • Experience with Python in production systems, plus at least one additional backend language (e.g. Rust, Java, Go), • Experience building and running production backend systems, • Comfortable turning ambiguous research or ideas into real software, • Solid understanding of APIs, databases, and distributed systems, • Engineering taste: you care about clarity, correctness, and trade-offs, • High ownership mindset. You ship, you own, you improve Why join us This is a rare chance to join a founding team operating at the frontier of AI, with the resources to win. • Impact: You will push the frontier of foundation models for an under-explored, massively valuable domain., • Team: We are a small, collaborative, world-class research team based in central London., • Founding level equity + competitive salary: We want you to share in the upside of what we are building. As part of the founding team, you will receive meaningful ownership alongside a salary that allows you to focus on building something great., • Direction: Chance to shape the direction of a new class of foundation model from day one. Culture • At Native, we look for people with exceptional engineering ability, who want to win., • Everyone loves building and is ambitious enough to want to change how the world operates for the better., • We run towards hard problems., • We are creative problem solvers, who keep going until we find the underlying principle of the problem, and build to solve that., • If you have an entrepreneurial spirit, are intrinsically motivated and want to have a huge impact, we are a great fit.

The Role You'll join the Pharosyn team as an early hire — shaping the product from the ground up. No programming or engineering experience required. • Product Roadmap: Directly shape what we build, in what order, and why — acting as the internal voice for life science users., • AI Engineering: Work closely with our engineering team to iterate on agentic AI system design and prompt engineering for life science research and reporting tasks including competitive landscaping of clinical trials, regulatory approvals and patent publications., • Benchmarking: Design evaluation processes to measure AI system performance against pharma enterprise requirements and expectations., • Strategic Partnership: Act as the bridge between top pharma companies and our engineering team, translating domain expertise into product decisions. You Must Have • Experience in life science commercial strategy, competitive intelligence, due diligence, equity research, or investment analysis (consulting, VC, or PE backgrounds all welcome), • Life sciences degree (undergraduate minimum) Preferred • 2+ years at pharma CI/strategy firms, VC, PE, or equity research experience covering pharma/biotech, • Hands-on experience using or building AI tools What We Offer • £70–100k salary depending on experience, • Meaningful founding equity, • Direct influence on product strategy and company direction, • Work alongside the CEO and CTO at a startup with paying enterprise customers

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.

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.

About Native Native is a VC backed AI startup building the world’s most accurate AI for databases reasoning. This is hard. This is an unsolved problem that once solved will change how every enterprise operates. We recently published our results, achieving rank 1 on the industry standard benchmark. Our research team is based in London. Everyone has high agency, obsessed with the problem we are solving, embraces the intensity of a 6-day week and has the ambition to build something world changing. We are a exceptional engineers and scientists taking a novel approach to accurate database reasoning. About the role This is a founding product engineering role at the intersection of research, backend systems, and user experience. You will: • Build end-to-end product features across frontend, backend, and infrastructure, • Turn research capabilities into usable, reliable, and scalable products, • Work deeply with databases, APIs, and AI systems, • Design systems where correctness, trust, and transparency matter, • Own features from concept to production to iteration, • Think deeply about edge cases, failure modes, and product boundaries, • Help define what “AI-native products” should look like from first principles Required experience • Strong experience shipping full-stack or product-focused systems in production, • Comfortable across frontend, backend, and data layers, • Experience working with APIs, databases, and complex data flows, • Ability to turn ambiguous ideas into real, shipped software, • Strong engineering judgment and product intuition, • High ownership mindset. You build it, you run it, you improve it Why join us • Impact: Shape the first products built on top of a new class of foundation model, • Team: A small, intense, world-class research and engineering group in London, • Founding-level equity + competitive salary: Real ownership, real upside, • Direction: Define both product and engineering foundations from day one Culture • At Native, we look for people with exceptional research and engineering ability, who want to win., • Everyone loves building and is ambitious enough to want to change how the world operates for the better., • We run towards hard problems., • We are creative problem solvers, who keep going until we find the underlying principle of the problem, and build to solve that., • If you have an entrepreneurial spirit, are intrinsically motivated and want to have a huge impact, we are a great fit.

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.

🎓 Graduate Software Developer / Quantitative Developer / Quantitative Researcher 📍 Location: London (Hybrid) 💷 Compensation: Up to £200,000 + Bonus + Benefits 🏢 Client: Prestigious Buy-Side Firm 🚀 Kickstart Your Career in Technology & Quantitative Finance Just graduated and ready to launch your career at the intersection of technology, mathematics, and finance? Join an elite global trading firm where innovation drives everything — no legacy systems, no bureaucracy, just cutting-edge tech and world-class mentorship. You’ll work on greenfield projects from day one, collaborating with exceptional engineers, quants, and researchers to build the systems and models shaping the future of global trading. 🔧 What You’ll Do • 🧠 Design and enhance advanced trading systems and analytics platforms, • 📊 Develop and implement your own quantitative models and research ideas, • 🤝 Collaborate closely with top technologists, quants, and portfolio managers, • 🚀 Learn fast, build fast: develop technical and analytical expertise in a performance-driven culture ✅ What You’ll Bring • 🎓 Degree in Computer Science, Mathematics, Physics, Engineering, or another STEM discipline, • 💻 Strong programming skills in Python, C++, Java, C#, or KDB+/Q, • 🔍 Analytical mindset with a passion for tackling complex, data-driven challenges, • ⚡ Curiosity, drive, and the ability to thrive in fast-paced, intellectually demanding environments 🌟 Why Join • 🌍 Greenfield Work: Contribute to high-impact projects from day one, • 🧠 Exceptional Mentorship: Learn from world-class engineers and quantitative researchers, • 🛠 Cutting-Edge Tech: Access the latest tools, infrastructure, and computing resources, • 📈 Fast Career Growth: A meritocratic culture that rewards innovation and initiative If you’re a motivated graduate eager to make an immediate impact in high-performance technology or quantitative finance, we’d love to hear from you. 📧 Apply now or reach out to me directly:

My client is a global, technology-driven quantitative investment manager operating across liquid asset classes worldwide. They apply a rigorous scientific approach to investing and foster a highly collaborative environment where engineers, traders, and researchers work side by side to solve complex problems. They are looking for an experienced C++ developer (3+ years) to join a high-performance crypto trading team and work directly with traders and quantitative researchers. What you’ll be doing • Build and optimise high-frequency, low-latency crypto trading systems, • Design and implement alpha generation and trading algorithms, • Implement exchange-specific market rules across major crypto venues, • Partner closely with traders and quants to develop research platforms and tooling What they’re looking for • Degree in Computer Science or equivalent experience, • Strong C++20/23 development skills on Linux, • Passion for performance, reliability, and clean system design, • Experience or interest in HPC and cloud-based environments, • Good Python skills, • Strong communication skills in a fast-paced, international team

AI Lead (Robotics) Up to £200k base + equity About This is an early-stage robotics company building the intelligence layer for industrial machines – forklifts, cranes, excavators and other heavy equipment. The approach is pragmatic: start with remote teleoperation to generate real-world operator data at scale, then train Vision-Language-Action models toward increasing autonomy. You’d join early to lead development of the learning systems powering that autonomy, working closely with the CTO. What you'll do • Lead development of the autonomy stack powering industrial machines, • Adapt and fine-tune existing Vision-Language-Action models (e.g. Pi0.5-style architectures) to real-world industrial robotics tasks, • Design training pipelines using real-world operator data, • Apply imitation learning to achieve reliable task automation, • Explore reinforcement learning approaches to improve success rates over time, • Work closely with robotics and platform engineers to turn models into deployed systems What you'll need • Strong background in machine learning with hands-on model development, • Experience building ML systems in real products, not just research environments, • Practical understanding of imitation learning or reinforcement learning, • Ability to prioritise pragmatic solutions over academic exploration, • Experience shipping ML-powered features in production environments, • Robotics experience is helpful but not mandatory Shortlisted candidates will be contacted within 48 hours.

Full Stack Developer (Python + Next.js) Full Time | On-site London, UK or Luxembourg Overview A fast-growing European technology company working at the intersection of AI and drug discovery is looking for a Full Stack Developer to join their engineering team. The organisation is building next-generation software platforms that enable pharmaceutical and biotechnology companies to run large-scale in-silico biological experiments, dramatically accelerating research that traditionally relies on physical wet labs. This is an opportunity to work within a high-calibre, founder-led team developing tools that combine machine learning, data infrastructure, and modern web technologies to transform how biological research is conducted. You’ll play a key role in building scalable applications used by scientists and engineers working on cutting-edge drug discovery programmes. The Role You will contribute to the development of a full-stack platform that enables scientists to run and analyse complex biological simulations and experiments. Responsibilities include: • Building and maintaining backend services in Python, including APIs and data-processing pipelines, • Developing frontend applications using Next.js and React, • Designing and implementing FastAPI endpoints for data-intensive application, • Writing robust tests using pytest and managing CI workflows via GitHub Actions, • Collaborating with engineers and researchers to deliver features end-to-end, • Writing clean, maintainable and well-tested production code, • Contributing to architecture and infrastructure decisions as the platform scales Requirements • 2+ years professional experience as a software developer, • Strong proficiency in Python for backend development, • Experience building APIs and production services, • Experience developing modern frontend applications using Next.js and React, • Solid understanding of REST APIs and client–server architecture, • Experience with testing frameworks (pytest) and CI/CD pipelines, • Familiarity with TypeScript, CSS frameworks and component-based UI design, • Experience with Git and collaborative development workflows, • Ability to work in a fast-paced environment and take ownership of features Nice to Have Development & Infrastructure • Experience with Docker and containerised deployments, • Familiarity with AWS services (S3, EC2, ECR, Cognito), • Experience working with JupyterHub, JupyterLab or Airflow APIs, • Experience building developer platforms or internal tooling, • Knowledge of SQL and/or NoSQL databases AI / Machine Learning • Exposure to ML/AI workflows or data science tooling, • Experience with MLflow or model tracking systems Scientific / Data Applications • Experience working with scientific or bioinformatics datasets, • Exposure to single-cell RNA-seq, DNA/RNA sequences, AnnData or other omics data

The Role: AI Engineer (London based) We're seeking exceptional AI Engineers who can operate at the intersection of cutting-edge AI technology and real-world business impact. This isn't about building demos or proofs-of-concept. You will own end-to-end development of production AI systems serving actual customers at scale from day one. Technical Excellence • Strong engineering fundamentals with 5+ years building AI production systems, • Comfortable with infrastructure (K8s, cloud platforms), backend (Python, FASTapi) and front-end (React, TypeScript), • Hands-on experience with modern AI/ML frameworks and deployment patterns, including GenAI, • Track record of shipping products that scale to thousands of users Additional benefits: ▪ Competitive base salary and benefits ▪ Meaningful upside participation in the value you create ▪ Direct access to 50+ portfolio companies and their operations ▪ Flat structure with direct access to leadership ▪ Your code reaches thousands of users from day one What You'll Do Own the full stack & product lifecycle ▪ Architect and build production-grade AI applications from zero to one ▪ Design systems that handle enterprise-scale data and millions of users from day one ▪ Implement everything from model serving infrastructure to polished user interfaces ▪ Make critical technical decisions balancing innovation with reliability ▪ Ship with velocity: build like a startup, scale like an enterprise Solve AI's hardest problem: real-world deployment ▪ Navigate the complexity of implementing AI in messy, regulated, legacy-filled enterprise environments ▪ Build solutions that work with imperfect data, demanding SLAs, and complex stakeholder requirements ▪ Transform cutting-edge research into revenue-generating products, not demos ▪ Tackle technically challenging problems across fintech, enterprise SaaS, B2B services and more Operate as a serial product builder ▪ Lead product development across multiple portfolio companies and industries ▪ Hone your skills across different verticals in 9-18 month sprints ▪ Build institutional knowledge about what makes AI products succeed or fail ▪ Own the entire AI product lifecycle from ideation to production Execution Velocity ▪ Demonstrated ability to ship fast without sacrificing quality ▪ Experience in high-growth startups or equally fast-paced environments ▪ Comfortable with ambiguity and rapid iteration ▪ Strong opinions, loosely held: able to make decisions with incomplete information Product & Business Acumen ▪ Intuition for what makes products valuable to users ▪ Ability to translate between technical complexity and business value ▪ Experience working directly with customers and stakeholders ▪ Understanding of enterprise software dynamics is a plus Mindset & Drive ▪ Enthusiasm about AI – from the products we are building, to the latest tools, and AI-first ways of working ▪ Hunger to build products that matter, not just interesting technology ▪ Ownership mentality: you don't wait for specifications, you create them ▪ Intellectual curiosity across industries and technologies ▪ Thrives in intense, high-performance environments ▪ Ready to work hard and learn fast Location: London (in-person 3 days/week, with travel to portfolio companies) Start date: Immediate Team size: Small, elite, and growing thoughtfully

About the Team: You'll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machine learning, ensuring secure remote customer onboarding. By assessing government- issued identity documents and facial biometrics using state-of-the-art machine learning, we provide companies with the assurance they need to operate securely while allowing people to access services quickly and safely. Our Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy models to serve our worldwide customer base. Position Overview: We are looking for an Applied Scientist II to design and train cutting-edge machine learning solutions related to digital identities. Join our team and work on challenging problems in deepfake detection, bias mitigation, document understanding, anomaly detection and/or efficient ML. What you will be doing: • Push the frontier of research in areas such as deepfake detection, bias mitigation, fraud/anomaly detection, face matching, document understanding, and efficient on-device ML., • Publish research results in national and international conferences and scientific journals. Work with product and engineering to improve our world-class identity-focused products. Representative work: • Implement bias-mitigation strategies to build fair face-matching and deepfake-detection models., • Train and benchmark large-scale vision-language models for document extraction., • Train a multi-modal document understanding model from scratch using synthetic data., • Optimise LoRA adapter latency in PEFT/Triton., • Profile, debug and improve model training speed on multiple GPUs., • Create a large-scale dataset for deepfake detection., • Experiment with multimodal models to detect fraud. You may be a good fit if you: • Have strong experience in machine learning and computer vision., • Have a strong record of successfully delivering high-performance ML-driven products., • Have a deep understanding of machine learning theory., • Have strong coding skills in Python and PyTorch., • Care about building fair and cutting-edge machine learning products. Strong candidates may also have: • Technical experience in one or more of the following areas: face matching, bias mitigation, anomaly detection, document understanding or on-device ML., • Published at top-level machine learning conferences. Experience optimising (distributed) training code. Where you will be: This role is based in our London, UK office and follows a hybrid model, requiring in-office presence three days per week. Benefits UK • 25 days annual leave plus a day off for your Birthday., • Two paid volunteering days per year.*, • Bupa Private Medical and Dental Insurance*, • Pension with The People’s Pension (employer contribution 4% of base salary)*, • Generous paid parental leave, • Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy, • Dedicated learning opportunities including using tools like Linkedin Learning with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more, • Our open and transparent culture is reflected in our “Better Together” motto and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events, • Expense up to £300 (or local equivalent) to purchase workstation setup equipment, • The opportunity to become a member of Entrust’s resource groups in order to learn different skills in our belonging groups Ready to Make an Impact? If youʼre excited by the prospect of working on cutting-edge machine learning for problems that matter, Entrust is the place for you. Join us in making a difference. Letʼs build a more secure world—together. Apply today! NO AGENCIES, NO RELOCATION #LI-GR1 #ENT123

Machine Learning Engineer, London (5 days a month in office), £90,000 - £120,000 per annum My client, a leading regulatory intelligence company are currently looking to bring on an ML Engineer on a permanent basis. This is a key hire for the business and will look to move quickly for the right candidate. They are based in Central London and you will be required in their London office 5 days per month. As ML Engineer, your mission is to: • Participate in the continuous improvement of our client's products, • Develop advanced NLP and AI-based products that will delight users, • Provide excellence in cloud-based ML engineering, with as much focus on Operations as Development., • Expand of the Team’s knowledge via demonstration and documentation Key Responsibilities As a machine learning engineer, your main responsibility is to conduct the development and productionisation of ML and NLP-based features for the client's products - a SaaS Platform and an API. • Develop optimal ML & NLP solutions for use cases, from baseline to SOTA approaches, wherever appropriate., • Produce high quality, modular code, and deploy following our established DevOps CI/CD and best practices., • Improve the efficiency, performance, and scalability of ML & NLP models (this includes data quality, ingestion, loading, cleaning, and processing)., • Stay up-to-date with ML & NLP research, and experiment with new models and techniques., • Perform code-reviews for your colleague’s code. Engage with them to raise standards of Software engineering., • Propose cloud architectures for ML-based products that need new infrastructure., • Participate in the monitoring and continuous improvement of existing ML systems. Core requirements Experience matters. But what is more important than raw number of years of experience is demonstrated proficiency (through GitHub profiles/online portfolios and the interview process itself). Bonus points for Stack Overflow and Kaggle contributions! What we are looking for • Experience analysing large volumes of textual data (almost all of our use cases will involve NLP) 🔠, • Ability to write clear, robust, and testable code, especially in Python 🐍, • Familiarity with SQL and NoSQL/graph databases 🏦, • Extensive experience with ML & DL platforms, frameworks, and libraries 📚, • Extensive experience with end-to-end model design and deployment within cloud environments ☁️, • A ___ approach 🌐, with passion for MLOps best practises 🌀, • An engineer that can think in O(n) as much as plan the orchestration of their product., • Solid understanding of data structures, data modelling, and software architecture, especially cloud-based. 🏛️, • An engineer that can keep up with mathematically and statistically-oriented colleagues 🔢, • A healthy sense of humour.

🚀 Lead Data Scientist, Computer Vision 📍 London, UK (Hybrid) | 🕒 Full-time Help reinvent how the world discovers fashion. We’re building a new era in fashion discovery — one that ignites body confidence in everybody and every body. Imagine Shazam meets Spotify, but for fashion. Our community is tired of endless scrolling, paid ads and dead-end links. They want fashion that actually fits: in stock, in their size, and at the best price. We're creating a search experience that puts people at the centre of discovery. As a female-founded fashion-tech startup, we're at an exciting stage — shaping something genuinely game-changing. Now we’re looking for an exceptional Lead Data Scientist (Computer Vision) to help build the intelligence at the heart of our platform. 🔍 The Role This is a hands-on technical leadership role responsible for architecting and building the computer vision engine powering the platform’s discovery experience. You’ll design, implement and productionise state-of-the-art models across image understanding, embeddings, object detection and emerging agentic AI systems. You’ll work closely with the founders, product and engineering teams to shape the long-term AI and data strategy, making pragmatic technical decisions in a fast-moving startup environment. ⚠️ This role is 90% hands-on engineering. It is not a pure management role or a research-only position. 🧠 What You’ll Do Hands-on Computer Vision Leadership • Design, build and deploy production computer vision and agentic AI systems powering search, recommendations and personalisation, • Own the full data science lifecycle: problem framing → modelling → deployment → monitoring → iteration, • Translate messy real-world user problems into testable ML solutions, • Partner closely with Product to ensure models improve user trust, confidence and discovery, • Work hands-on with imperfect datasets, • Design annotation strategies, data quality frameworks and evaluation pipelines, • Establish pragmatic MLOps practices (deployment, monitoring, iteration), • Build scalable but lightweight ML pipelines in AWS alongside engineering, • Set the technical bar for data science, • Mentor future data scientists as the team grows, • Bring curiosity, humility and ownership to a high-ambiguity startup environment ✅ What We’re Looking For • Bachelor’s or Master’s in Computer Science, Mathematics or related field, • Strong computer vision expertise and experience fine-tuning state-of-the-art models, • Deep learning experience (e.g. PyTorch, CUDA, model optimisation for training and inference), • Strong MLOps and engineering mindset (CI/CD, automated deployment, monitoring), • Solid understanding of data engineering, data quality and annotation strategies, • Comfortable working in fast-paced startup environments, • A simplicity-first mindset — only introduce complexity when it’s needed, • Excellent communication skills across technical and non-technical audiences 🌟 Why Join? • Build the core AI engine of a breakthrough fashion discovery platform, • Work directly with founders on product and technical strategy, • Join a mission-driven, female-founded startup at a defining growth stage, • Shape a product designed to make fashion discovery more inclusive, empowering and intelligent 💌 Interested? We’d love to hear from exceptional builders who want to shape the future of fashion discovery. Apply via LinkedIn or reach out directly.

AI Engineer [Analyst] – Early Career Role About the Job As an early‑career AI Engineer at Cerberus, you’ll join a small, high‑impact team building AI systems that power decision‑making across a global investment platform. You’ll work alongside experienced AI engineers, data scientists, and technologists to deliver real products used by investment teams and portfolio companies. This role is ideal for: • PhD graduates in a STEM field with applied ML, optimization, or computational experience; or What You’ll Do Build and deliver ML systems Work with senior engineers to design, train, and deploy machine learning models and data-driven tools that support investment and operational decision-making. Contribute to real production deployments Help integrate ML models into business workflows, build data pipelines, and support the rollout of AI applications across teams. Experiment and iterate Prototype ideas, test assumptions, and rapidly evolve solutions based on real user feedback and real-world constraints. Learn modern tooling and practices Gain hands-on experience with ML frameworks, cloud infrastructure, MLOps tools, and best practices for building scalable AI systems. Communicate clearly Translate technical findings into clear, structured insights for collaborators across technical and business teams. Grow as an AI engineer Develop skills across the full ML lifecycle—data processing, modelling, evaluation, deployment, and ongoing improvement. Sample Projects You Might Work On GenAI for due diligence Support the configuration, extension, and rollout of our in-house GenAI platform across investment teams. Work with senior engineers to customise workflows, analyse model outputs, and drive adoption. Automated Deal Sourcing Tools Help build prototypes that extract signals from datasets and integrate with APIs to enrich leads. Support the creation of modular ML-driven components that can be used across investment strategies. (Both examples are reframed so junior team members contribute meaningfully but are not expected to independently lead full workstreams.) Your Experience We don’t expect candidates to have experience across all areas—what matters most is strong technical fundamentals, curiosity, and a willingness to learn quickly. Foundational skills • Degree in a STEM field., • PhD candidates: applied research involving ML, optimisation, simulation, statistics, numerical methods, NLP, or related areas., • Experience writing clean, maintainable Python code., • Applied AI experience such as exposure to LLM APIs (OpenAI, Azure OpenAI, Anthropic, etc.) and experience with small personal or internship projects building agents or AI-driven workflows., • Comfortable working with data, performing analysis, and writing SQL queries., • Familiarity with tools like MLflow, Weights & Biases, or cloud platforms (Azure, AWS, or GCP)., • Strong problem-solving skills, • Curiosity and eagerness to learn, • Pragmatic, impact-driven approach, • Ability to work collaboratively in a fast-paced environment About Us We are a growing team of AI specialists—data scientists, ML engineers, software engineers, and technology strategists—working to transform how a global investment firm with $65B+ in assets uses data and AI. We operate like a startup within the firm: fast, collaborative, and focused on delivering real value. Our work spans investment desks, portfolio companies, and core operations, giving early-career engineers wide exposure and the opportunity to grow rapidly.

Team: Frontend Location: London (On-site; Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £90–120k Base Salary + Discretionary Bonus + Equity Zettafleet is an end-to-end platform for businesses and organisations to train their own LLM on their proprietary data. We can use non-conventional AI hardware and automatically source and combine GPUs (and other types of AI accelerators) from multiple cloud providers, enabling users to optimise for cost, duration or geographic location of the training. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg, Google, AWS, and WhatsApp (Meta). We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of a web-based application for Machine Learning workloads. We put strong emphasis on user experience, aesthetics and pixel-perfect design. You will be working closely with the Machine Learning team to understand the underlying concepts and user flows; however, you are not required or expected to have background in Machine Learning. This is a senior-level role, and we are looking to hire a software engineer with background in product design, UI/UX design, and with a strong sense of aesthetics. Portfolio We would love to see your recent frontend works! If possible, please include the link(s) to your portfolio in your CV. In this role, you will: • Design and develop web-based user interfaces using TypeScript and React., • Lead projects from inception to launch and beyond, having a high degree of autonomy and ownership over your work., • Work closely with the founding team and contribute towards best practices, standards, and culture of the company., • Work with a graphic designer on the creation of original visual assets., • Co-hire your future colleagues. Our tech stack: • We use and leverage AWS, Cloudflare, and GitHub as much as possible., • The codebase is written in TypeScript, React, Vite, TanStack, and Radix UI., • We use Figma for wireframes and ideation., • We are highly confident in our backend API schemas and functionality. What we are looking for: • Frontend development: 5+ years of industry experience in frontend engineering, developing and designing responsive web applications using TypeScript., • Excellent knowledge of the frontend fundamentals: In-depth knowledge of the core technologies, including HTML5, CSS3, TypeScript and React., • Design systems: Understanding of popular design systems, such as Google Material Design 3 or Apple HIG., • Leadership: A track record of leading complex projects., • Problem solving: Strong analytical problem-solving skills and attention to detail. You have the ability to break down complex projects into actionable tasks., • Collaboration and communication: Excellent interpersonal and communication skills, with technical and non-technical stakeholders. Nice to have: • Visual design: Background in graphic design and/or visual arts., • Open-source: Contributions to and experience in open-source projects., • Startup experience: Experience with a startup work environment and wider ecosystem. How we work: We are a small, early-stage team with big ambitions. We move quickly, care deeply about what we build, and take pride in doing things well. This is a high-ownership environment where people who are proactive, curious, and motivated by impact tend to thrive. Why join us? • Work in an environment conducting cutting-edge research in AI., • Competitive salary, equity and benefits package., • 28 days + public holidays allowance., • Opportunities for professional growth and progression with your career., • Work on challenging engineering problems that have a real impact on the industry., • Work with high-profile customers and technology partners.

Senior Economist - Competitive Salary - London, United Kingdom (hybrid) Our client is an independent economic consultancy specialising in public policy, economic evaluation and evidence-based decision making. The firm works with a broad range of organisations including government departments, public bodies, charities and private sector organisations, helping them understand complex economic challenges and design more effective policy interventions. The team applies rigorous economic analysis to some of the most pressing social, environmental and economic questions facing policymakers today. Their work spans areas such as economic growth, productivity, sustainability, social outcomes and public sector investment. As the consultancy continues to expand its analytical capabilities, they are seeking to appoint a Senior Economist to contribute to high-impact policy projects and lead complex economic analysis across a diverse portfolio of engagements. Role The Senior Economist will play a key role in delivering economic analysis and policy insight across multiple projects, with particular emphasis on economic appraisal, cost-benefit analysis and programme evaluation. This position involves leading analytical workstreams, engaging directly with clients and stakeholders, and helping shape the direction of projects from design through to delivery. The role also offers the opportunity to mentor junior team members and contribute to the continued development of the consultancy’s analytical practice. Key Responsibilities • Contribute to economic analysis across a range of policy, appraisal and evaluation projects, • Support the development of economic appraisal and evaluation approaches, including cost-benefit analysis and impact assessment, • Apply quantitative techniques such as econometrics and quasi-experimental methods to analyse policy and economic questions, • Translate analytical findings into clear insights for a range of audiences, including non-technical stakeholders, • Assist with project delivery, helping to ensure work is completed to a high standard and within agreed timelines, • Contribute to proposals and business development activities where appropriate, • Work collaboratively with colleagues and engage with clients and stakeholders as part of project teams, • Support the development of research, analysis and written outputs across multiple engagements Key Skills • Experience applying economics in a consulting, public policy, government, research or analytical environment, • Knowledge of economic appraisal, cost-benefit analysis and policy evaluation approaches, • Experience using quantitative tools such as Excel, R, Python or Stata for data analysis or modelling, • Strong written and verbal communication skills, with the ability to explain analytical concepts clearly, • Good organisational skills and the ability to contribute effectively to multiple projects, • An interest in public policy and the economic issues shaping government decision-making, • A postgraduate qualification in economics or a closely related discipline Key Benefits • Competitive salary and overall compensation package, • Hybrid working arrangements to support work–life balance, • A collaborative and supportive team culture, • Opportunities to work on meaningful, policy-relevant projects with real-world impact, • Ongoing professional development and clear progression opportunities, • An intellectually stimulating environment within a growing consultancy This is an excellent opportunity for an experienced economist to join a growing consultancy working at the intersection of economics, public policy and data-driven insight. The role offers exposure to meaningful policy challenges and the chance to contribute to work that shapes real-world economic outcomes. Please apply below for a confidential discussion to learn more. By applying to this advert you agree to your personal details being held on file in relation to this and other future relevant opportunities.