Data research jobs in Reino Unido - Page 2

Data Scientist - Brand Uplift/Marketing London – Hybrid Up to £80,000 About the Role We are seeking a Data Scientist to join a growing Data & Innovation team within a fast-scaling AI-driven organisation. You’ll work with a wide variety of cross-channel digital signals, leveraging advanced Machine Learning, NLP, and Computer Vision techniques to uncover powerful consumer insights. These insights will shape media, marketing, influencer, and creative strategies, helping clients capture market share and build deeper connections with their customers. Key Responsibilities • Combine and analyse large, complex datasets (structured and unstructured) to extract consumer insights., • Apply Machine Learning, NLP, and Computer Vision methods to develop innovative products and solutions., • Prototype and validate new technical ideas, bringing cutting-edge research into production., • Work with clients to translate insights into actionable strategies that drive growth., • Implement production-level coding practices, including unit testing and documentation., • Communicate complex technical concepts to non-technical stakeholders. What We’re Looking For • 3+ years’ experience working with Python for data preparation, aggregation, and transformation., • Strong background in Consumer or Marketing Analytics, with passion for digital, social, and mobile media., • Proven experience applying ML/statistical methodologies to large datasets (>1TB)., • Experience building NLP and Computer Vision products with engaged user bases., • Knowledge of open-source NLP & CV libraries and ability to apply the latest research into real-world applications., • Skilled in explaining technical findings to business audiences in clear, concise English., • Degree in a quantitative field (Data Science, Statistics, Mathematics, Computer Science, or similar); Master’s preferred. Please note, this role cannot offer sponsorship.

We're building the infrastructure that makes autonomous AI safe for enterprise deployment. Not governance theatre. Not compliance checkboxes. Actual technical systems that can monitor, quantify, and govern AI agents operating with autonomy in production environments. If you've been following the trajectory from static models to agentic systems—and the corresponding explosion in risk surface area—you know why this matters now. About governr governr is the AI risk platform for regulated enterprises. We provide complete AI visibility, real-time risk eval and quantification, and audit-ready compliance docs for enterprises deploying agentic AI. We've built the industry's most comprehensive AI risk assessment framework: We're currently in active discussions with tier-1 financial institutions and have secured design partners with leading firms navigating the shift from analytical AI to agentic systems. The market timing is critical: enterprises are deploying agents at scale, regulators are demanding governance frameworks, and existing Third-Party Risk Management (TPRM) platforms have near-zero AI-risk depth. We have an estimated 18-24 month competitive window before large incumbents build comparable capabilities to stay relevant. The Role As an Agentic Developer at governr, you'll build the core systems that monitor, analyse, and govern autonomous AI agents in production. This isn't traditional software engineering with well-worn patterns. You're designing architectures for problems that didn't exist 18 months ago. You'll be responsible for: • Agent Monitoring Infrastructure: Build real-time systems that track agent behaviour across risk factors including agent-to-agent interactions, privilege escalation attempts, emergent capability detection, and behavioural drift from baseline parameters, • Risk Assessment Engine: Design algorithms that quantify AI risk in financial terms (£X exposure), map behaviours to regulatory requirements, and detect cascade failures before they propagate through multi-agent systems, • Protocol Integration: Implement monitoring for agent communication protocols (Model Context Protocol, Agent2Agent, Agent Connect Protocol) as they mature, ensuring authenticated and logged inter-agent communications, • Anomaly Detection: Develop ML systems that identify when agents exhibit unexpected strategies, attempt unauthorized actions, or drift from intended behaviour—catching issues before regulators do, • Evidence Generation Systems: Build architectures that automatically capture audit trails, decision provenance, and compliance evidence without impacting agent performance Core Requirements (Non-negotiable) Technical Depth: • 3 - 12+ years building production systems at scale • Expert-level proficiency in Python, Rust, or Go (you write systems that can't fail) • Deep understanding of distributed systems, real-time data processing, and observability architectures • Production ML/AI experience: You've deployed models, debugged their failures, and built monitoring around them • System design mastery: You can architect for reliability, scalability, and auditability simultaneously Domain Knowledge: • Understanding of agent architectures: autonomous decision-making, goal-directed behaviour, tool use, memory systems • Familiarity with AI safety concepts: alignment, interpretability, robustness, adversarial examples • Experience with monitoring/observability: instrumentation, logging, tracing, alerting in complex systems Working Style: • You ship to production regularly and own what you deploy • You write documentation that others can actually use • You thrive in ambiguity and define requirements through first principles • You communicate technical concepts clearly to non-technical stakeholders Highly Valued (Differentiated Candidates) • Publications or research in multi-agent systems, reinforcement learning, AI safety, or agent architectures • Experience at AI labs (Anthropic, OpenAI, DeepMind) or leading AI research groups, • Production experience with agents: LangChain, AutoGPT, CrewAI, or custom agent frameworks • Regulated industry background: Financial services, healthcare, or other domains with compliance requirements, • Security/threat modelling expertise: Understanding of adversarial AI, prompt injection, or system security • Real-time systems experience: Trading systems, fraud detection, or other low-latency critical infrastructure, • Open source contributions in relevant domains (AI frameworks, monitoring tools, security infrastructure) Bonus Points (Nice to Have) • Understanding of regulatory frameworks (EU AI Act, California AI, GDPR, DORA, FCA, OCC, FINRA guidance), • Experience with compliance/audit systems or GRC platforms, • Background in formal verification or theorem proving, • DevSecOps or infrastructure-as-code expertise, • Track record of technical leadership or architecture ownership Who Thrives Here You read AI safety papers for fun. You've built production systems where failure has real consequences. You're excited by the idea of being the first person to solve a category of problems that didn't exist last year. You care about getting it right, not just getting it done. When someone asks "can we monitor that?" your first instinct is to figure out how, not to explain why it's hard. You're comfortable with the early-stage start-up reality: fewer guardrails, more ownership, rapid iteration, and direct impact on company trajectory. You want to define the product, not just implement specifications. You're intellectually curious about the intersection of AI capabilities and regulatory constraints. You find it genuinely interesting that the EU AI Act requires "human oversight" but doesn't define what that means for autonomous agents. You're mission-aligned: You believe AI agents will transform how organizations operate, but only if we solve the governance problem. You want to be the person who solves it. Why Now / Why governr Market Timing: Autonomous AI is moving from research to production. McKinsey estimates $2.6T-$4.4T annual value from agentic AI. 80% of organizations report risky agent behaviours. Regulators are demanding guardrail frameworks. The infrastructure layer doesn't exist yet. We're building it. Technical Challenge: You'll solve problems that have no Stack Overflow answers. Agent-to-agent security. Cascade failure prevention across multi-agent systems. Emergent capability detection. Financial quantification of non-deterministic systems. This is legitimately hard, novel work. Category Leadership: We have 18-24 months before large incumbents build comparable depth. First-mover advantage in category creation is real. You'll help define what "AI governance" means. Team Quality: Co-founders with deep financial services + AI expertise. Advisors including Dr. Ayman Hindy, Marcel Cassard, and leading figures in AI, high frequency risk management and financial regulation. Early team of sharp, mission-driven builders. Learning Curve: You'll gain expertise in cutting-edge AI architectures, enterprise software, regulatory frameworks, and category creation simultaneously. This is one of those roles you look back on as career-defining. Impact Leverage: Every system you build enables safe AI adoption for enterprises managing billions in assets. Your code directly influences whether organizations can deploy autonomous agents responsibly. What We Offer Compensation: very competitive salary + equity in a fast-growing company with clear path to Series A Team: Reporting to Co-Founder Chief Product Officer, working directly with founders on product direction Work Environment: London, New York - focus on outcomes over presence Growth: Ownership of major product areas from day one. Technical leadership opportunities as team scales. Direct exposure to customers, investors, and strategic decisions. Resources: Modern tech stack, freedom to choose tools, Mission: Build the infrastructure that makes autonomous AI safe for society. Not many teams can say their technical work has direct regulatory impact. How to Apply If you're excited about building unprecedented monitoring systems for autonomous agents, working at the intersection of AI safety and enterprise software, and defining an emerging category—let's talk. Send your resume, GitHub/portfolio, and a brief note on what excites you about this problem space to and . Include: • Links to relevant work (code, papers, projects, or systems you've built) • What you're currently reading/learning in the AI agent space • One technical challenge you'd be excited to solve at governr We review applications on a rolling basis and move quickly for strong candidates. First round is a technical conversation with the Co-Founder, not whiteboard hazing. We're evaluating you as much as you're evaluating us. Come with questions about our technical approach, roadmap, or market positioning. The best conversations are mutual discovery. governr is an equal opportunity employer. We believe diverse teams build better products and welcome applications from candidates of all backgrounds. Ready to build the governance layer for autonomous AI? We're ready for you.

Hardware Infrastructure Engineer (Server Platforms) This role sits within the core infrastructure operations function, supporting mission-critical research and trading systems. If you enjoy owning physical server environments end-to-end and working closely with vendors and data centre teams, this one is for you. What you’ll be responsible for • Ownership of physical server health, lifecycle, and readiness, • Hardware fault investigation and coordination to resolution, • Vendor case management, escalations, and RMAs, • Planning and executing refresh, replacement, and firmware activities, • Working with data centre teams on installs, cabling, and break/fix, • Maintaining asset accuracy, lifecycle status, and documentation, • Supporting capacity and growth planning initiatives Must-Haves • 5+ years in server / hardware / data centre infrastructure roles, • Deep understanding of enterprise server components and diagnostics, • Practical experience with HPE OneView, iLO, and Redfish APIs, • Linux exposure for provisioning and troubleshooting, • NetBox or similar CMDB / asset tools, • Ansible or infrastructure automation experience, • Vendor management and RMA handling experience, • Enterprise hardware platforms: HPE, Dell, Supermicro, Lenovo, • Strong ownership mindset and documentation discipline Nice-to-Have • Experience in low-latency, HPC, or financial environments, • Observability tooling (Prometheus, Grafana, VictoriaLogs), • Firmware lifecycle programs at scale, • Python / Bash scripting, • Capacity planning or refresh program exposure

DATA ENGINEER LONDON £50,000 - £60,000 THE COMPANY This pioneering AdTech organization is transforming how out-of-home advertising is measured and optimized across the UK. Backed by industry leaders, they deliver world-class audience insights using GPS data and advanced analytics to help brands place ads in the most impactful locations. As a Data Engineer, you’ll play a key role in shaping the data infrastructure that powers these decisions, working in a mission-driven, collaborative environment. THE ROLE As a Data Engineer, you will build and maintain the data pipelines and infrastructure that underpin audience measurement for out-of-home advertising. Your work will ensure seamless data flow from sources into GCP and Postgres, while supporting the team’s research and analytics efforts. Specifically, you can expect to be involved in the following: • Technical tasks: Managing and optimizing data pipelines using GCP, Terraform, and ProxMox, with a focus on handling sensitive data securely., • Other key responsibilities: Collaborating with data scientists to refine audience insights, ensuring GDPR compliance, and contributing to ad-hoc tasks that improve system efficiency. SKILLS AND EXPERIENCE The successful Data Engineer will have the following skills and experience: • 2+ years of hands-on experience with GCP (commercial exposure required) and Terraform., • Proficiency in Postgres, with experience managing sensitive data in a secure environment., • Strong communication skills and an interest in the technical aspects of data engineering., • Exposure to Proxmox is highly valued, as is familiarity with GDPR and data protection., • Exposure to Data Science is appreciated, • Experience with Linux is also desirable The successful Data Engineer will receive the following benefits: • £50,000–£60,000 salary, depending on experience., • 3 days hybrid working, with an office located in Central London., • The opportunity to work on cutting-edge audience measurement projects with industry-leading partners., • A collaborative, research-driven environment where your contributions directly impact advertising strategies. HOW TO APPLY Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.

Senior Machine Learning Engineer Up to 115k Xcede is working in partnership with Faculty, one of the UK’s most established applied AI companies, delivering large-scale machine learning systems for organisations operating in highly complex, data-intensive environments. This is a senior engineering role for someone who wants to take ownership of end-to-end AI delivery. You’ll lead the design and implementation of advanced machine learning platforms, taking models from research through to live deployment. Working across multiple client programmes, you’ll shape technical direction, influence architectural decisions, and act as a senior technical voice on mission-critical AI initiatives. You’ll operate at the intersection of engineering, data science, and business delivery — helping organisations turn machine learning into reliable, scalable, and commercially valuable systems. Requirements: • Extensive experience building, deploying, and operating machine learning platforms in production, • Strong background translating data science work into reliable, real-world systems, • Deep hands-on experience with modern ML frameworks and tooling, • Expert-level Python engineering and strong software design skills, • Proven experience building cloud-based platforms e.g. Azure, • Strong background in containerised environments using Docker and Kubernetes, • Excellent understanding of statistical modelling, machine learning theory, and data-driven decision making, • Experience leading technical projects and mentoring engineers

Graduate Trade Desk Engineer August 2026 Start Quant Capital is recruiting a Graduate Trading Technology Engineer for a leading proprietary trading firm based in London. The firm combines advanced technology, applied mathematics, and rigorous research to trade global financial markets. Technology is a core competitive advantage, with a focus on performance, automation, and reliability. You will be joining a collaborative environment where traders, researchers, and engineers work closely to solve complex problems in real time. This role blends technical development, analytical problem-solving, and live trading support. You will help ensure trading systems operate smoothly while contributing tools, automation, and process improvements that support quantitative strategies. Working with traders, quants, and engineering teams, you will monitor trading systems, investigate issues, assist with strategy rollouts, and streamline workflows through automation. The role provides early exposure to live trading environments and suits a graduate who enjoys numerical problem-solving, fast-paced decision-making, and building practical technical solutions. Key Responsibilities • Provide technical and functional support to traders and researchers, • Develop and maintain internal tools, automation, and trading-related applications, • Assist with testing, validation, and deployment of new releases and strategy changes, • Analyse system metrics and trading data to identify root causes of issues, • Collaborate with engineering teams to enhance system robustness and performance Requirements • STEM degree from a strong academic institution, • Strong numerical, logical, and analytical skills, • Excellent Excel and data-handling ability, • Interest and some experience in programming or technical problem solving, • Familiarity with Linux or technical systems is beneficial, • Ability to perform effectively in high-pressure, time-critical environments, • Strong interest in financial markets and trading technology Additional Information Location: London Start date: August 2026 Office-based role aligned to trading hours with early starts This position offers an exceptional entry point into a front-office trading environment, providing exposure to traders, quantitative research, and advanced trading systems.

Quantitative Developer – C# / Python London | Full-time The mission Join a leading quantitative research and trading firm using heavy compute and modern engineering to tackle some of the hardest problems in systematic finance. You’ll sit close to the money, turning cutting‑edge research into production systems that run at scale in global markets. The role This is a hands‑on engineering role working side‑by‑side with quants. You’ll design, build and optimise trading, simulation and research systems in C# and Python, with huge emphasis on performance, reliability and clean architecture. What you’ll do • Build and evolve trading systems that run 24/6 with real capital at stake., • Develop modelling and simulation frameworks that quants use to test and refine strategies., • Improve research tooling and workflows so ideas move smoothly from prototype to production., • Push performance and scalability in core services, unlocking new research and trading capabilities., • Take end‑to‑end ownership of projects, from design through to deployment and iteration. What you bring • Strong software engineering fundamentals: algorithms, data structures, architecture., • Commercial experience in C# and/or Python, ideally on complex, high‑performance systems., • Interest in quantitative finance and how engineering accelerates research and trading., • Comfort working closely with stakeholders, prioritising impact and communicating clearly. Why you might care • Work at the intersection of advanced research, serious engineering and real‑world markets., • Industry‑leading compensation, deep technical culture, serious investment in tools, learning and long‑term career growth.

Join a world-class team shaping the future of quantitative research and trading. Our client is seeking an academically exceptional Quantitative Developer to be part of their London build-out. This is a unique opportunity to apply cutting-edge engineering and quantitative skills in a highly collaborative environment. You'll work on delivering market data to trading systems, building integrated research and execution frameworks for high-performance predictors, and designing advanced simulation platforms in a cloud-native setting. Expect to partner closely with leading researchers, translating innovative ideas into production-quality code that drives real-world impact. Responsibilities: • Design, develop, and maintain core components of the trading system, • Champion best practices in software engineering across the team, • Build robust testing frameworks for all trading components, • Develop automated, fault-tolerant monitoring and tracking systems, • Proven experience as a Research Engineer, Software Engineer, or Quantitative Developer, • Strong programming expertise in Python and/or C++, • Exceptional academic credentials from a top-tier university, with notable achievements such as Dean's List or equivalent honors

Safe Intelligence is on a mission to make AI safe and reliable for everyone. To help us achieve this, we're seeking a Full Stack Software Engineer to join our team! We're particularly looking for someone with strong Golang, Typescript and Kubernetes experience. Python skills would also be a welcome bonus! We’re looking for experience of different types of architectures and understanding of the tradeoffs between them. In this role, you'll be a senior contributor to the development and operation of our cutting-edge cloud-based platform. You should have a passion for both science and engineering, a proven ability to deliver production-ready solutions, and a collaborative spirit to work closely with our product and research teams. Note: the role is 3-4 days per week in the office in London (based in Hammersmith). We're excited to have you contribute to our mission! Responsibilities: As a Safe Intelligence Full Stack Software Engineer, you will: • Engineering of Golang-based backend systems, focusing on API development and integration., • Engineering on our TypeScript-based frontend systems, primarily utilizing React to craft intuitive and highly functional user interfaces., • Productize and enhance our Kubernetes-based cloud platform to ensure high-availability, scalability, and cost-efficient ML workflows., • Work proficiently across the entire stack to develop and integrate new features related to model versioning, dataset management, verification workflows, and result/metric aggregations., • Collaborate closely with our scientific and technical teams to interface with and containerize our PyTorch-based verification toolkit., • Champion an API-first development approach to deliver feature-rich, versioned interfaces that support both our TypeScript user interface and Python-based SDKs., • Develop and maintain Infrastructure as Code (IaC) and DevOps pipelines to ensure reliable service delivery and updates. Requirements: The technical requirements for the role are: Must have: • Ability and experience in system programming using Golang. This includes knowledge of database (MongoDB) access patterns (e.g., Optimistic Concurrency Control - OCC) and schema design, domain-driven architecture, and concurrency., • Proven experience developing production-grade RESTful APIs ideally with an API-first approach., • Some proficiency in JavaScript/TypeScript-based frontend development, with extensive expertise in React. This includes a deep understanding of the DOM, component design, CSS, and state management., • Familiarity with Kubernetes-specific platform components and principles, such as load balancers, cluster DNS, autoscalers, API/SDK toolsets, and the operator pattern. Experience developing and containerizing microservice applications is a plus., • Proficiency in integration and unit testing, with a strong commitment to code quality and maintainability., • Strong knowledge of DevOps and Git best practices. Experience automating version control, testing, and releases, preferably with GitHub Actions. Nice-to-have: • Familiarity with the OpenAPI specification and code generation toolsets for API development., • Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning are also beneficial., • Experience configuring and maintaining cloud infrastructure including network infrastructure, compute, access control policies, load balancers, Public Key Infrastructure (PKI), and DNS. Ideally, experience with AWS and Terraform or similar IaC tools. At a personal level we’re also looking for someone who is: • Passionate about delivering software to realize safe AI solutions in line with client needs., • Deeply technical and constantly in a state of learning., • Able to communicate clearly and efficiently with a variety of audiences including developers, clients, researchers, partners and executives., • Fearless in getting "hands-on" with technology and execution., • Has a strong understanding of modern software engineering processes., • Comfortable with ambiguity with a drive for clarity., • Collaborative with, and respectful of others on the team., • Honest, straightforward and caring about each other’s well being. Why Safe Intelligence is for you: We strongly believe AI can empower individuals and society to be happier and more productive, but this can only be achieved if the systems we build are safe to use. To meet this need, we are developing advanced deep validation techniques and tools that allow AI/ML engineers world-wide to validate the robustness of their models, as well as repair the fragilities that they discover. By joining us, you’ll be able to help advance the techniques, bring advanced technologies to AI/ML engineers worldwide and contribute to our shared mission to realise successful and reliable AI. Grow with us! If you think you can bring something special to this role, please apply even if you do not meet all listed criteria. Safe Intelligence is exploring uncharted waters, and finding the right crewmates is important to us. We support ongoing learning for the whole team, ranging from individual mentorship to internal seminars and support for sector and technology-specific upskilling. Compensation & Benefits Safe Intelligence provides competitive compensation based on role and candidate experience. In addition, company benefits for all roles include: • Stock option benefits, • Mentoring, learning and development allowance, • Regular team social and work events, • Flexible and generous holidays. We work hard and encourage everyone to take time off to recharge and enjoy other aspects of our lives. Equality and Inclusion We are proud to be an equal-opportunity employer and work hard to create an environment where people of diverse backgrounds and life experiences can thrive. The team is highly collaborative and meritocratic. Great ideas come from everywhere, and we strive to make it easy for people to express themselves and be heard. Location & Office Culture Safe Intelligence is based in London, UK, and we’re focused on building the initial team here. We highly value the ability to work flexibly and remotely at times, but we also have a strong belief that regular in-office interactions make for a much more fulfilling and productive work experience. Our company culture combines optimism for the future (hard problems can be solved with the right effort), speed of iteration (the best ideas come from many ideas tested), and rigour in what matters (correctness and precision are critical for safety). Come and join us to add your skills and passion to the future of Safe Artificial Intelligence!

Founding Machine Learning Engineer £140,000 - £160,000 + Equity 3 days minimum in Central London Opus are hiring on behalf of a fast-growing, Y Combinator-backed start-up that’s redefining how financial data is processed and understood. Operating at the intersection of AI and enterprise infrastructure, this company is building intelligent systems that extract meaning from complex, unstructured documents at scale. Their platform is already trusted by leading firms in the alternative investment space, and they’re now expanding their machine learning team to accelerate innovation. This is not a research role. It’s a high-impact product engineering role in forward-deployed style where your work ships into production and is used by customers daily. Key Requirements Candidates should bring a minimum of five years’ experience in machine learning engineering, with demonstrable expertise in: • Natural Language Processing (NLP), information extraction, and working with large language models (LLMs), • Python programming and major ML frameworks such as PyTorch or TensorFlow, • MLOps practices including containerisation (Docker), orchestration (Kubernetes), and CI/CD pipelines tailored for ML workflows, • Utilising AI-enhanced development environments and tools to streamline experimentation and deployment, • Cross-functional collaboration with engineering, product, and business stakeholders, • Agile methodologies and fast-paced product development environments Preferred Qualifications The following will be considered advantageous: • Advanced academic credentials (Master’s or PhD) in computer science or a related field, • Experience in training and deploying LLMs at scale, • Familiarity with cloud infrastructure and distributed computing environments, • Exposure to modern ML tooling such as Modal, Weights & Biases, or Amazon SageMaker, • Knowledge of fine-tuning techniques including LoRA, QLoRA, or other parameter-efficient frameworks Role Overview The successful candidate will be responsible for designing and implementing machine learning solutions that interpret and structure unorganised financial data. This includes: • Developing models for classification, entity recognition, summarisation, and retrieval, • Customising and refining LLMs for specific business applications, ensuring optimal performance and scalability, • Collaborating with data engineering teams to prepare and transform large datasets for model training, • Building robust ML services with monitoring, retraining, and performance tracking capabilities, • Enhancing the organisation’s MLOps infrastructure, including model lifecycle management and evaluation systems, • Partnering with product and engineering teams to embed ML capabilities into core platforms, • Staying abreast of emerging research in LLMs and agentic AI, and applying relevant innovations to production systems, • Supporting team development through code reviews and mentoring junior engineers

Machine Learning Scientist [Analyst/Associate] About the job As a Machine Learning Scientist on the AI team at Cerberus, you’ll work on high-impact projects that combine the pace of a startup with the reach of a global investment platform. Our team partners directly with internal investment desks as well as portfolio companies across industries to deliver machine learning solutions that unlock value and accelerate decision-making. Your work will range from developing and validating robust predictive models for pricing and valuation across diverse asset classes to dynamically optimizing prices under changing market conditions. You’ll be expected to translate complex data into actionable insights and ensure your solutions are not only technically sound but also adopted and delivering measurable business value, supporting deal team members and portfolio company executives. We’re looking for machine learning scientists who are passionate about impact—those who bring deep statistical knowledge, thrive in fast-paced environments, and want to see their models deployed, used, and making a difference. What you will do • Build and deliver AI solutions: Design and implement advanced models and systems as both an individual contributor and as part of cross-functional teams., • Drive impact through execution: Apply a hypothesis-driven approach to design solutions, collaborate with technical teams, and deliver results that create measurable business value., • Work in an agile, fast-paced environment: Rapidly iterate and adapt to changing priorities, using creativity and pragmatism to maximize outcomes., • Leverage modern tools and methods: Develop innovative solutions using contemporary platforms, languages, and frameworks, and package IP into reusable components., • Communicate insights effectively: Translate complex technical concepts into clear, compelling narratives that drive understanding and action across technical and non-technical audiences., • Build trust through delivery: Establish credibility by delivering high-quality solutions, challenging assumptions constructively, and iterating quickly in response to feedback., • Develop broad technical capability: Work across the full data science lifecycle, continuously learning and applying new technologies. Sample project you will work on: • Real estate portfolio valuation: Work on developing advanced valuation models for real estate portfolios using internal and external data sources. This includes building predictive models with uncertainty estimates, improving model performance through rigorous evaluation, and creating data pipelines to support modelling and analytics. You’ll also prototype processes downstream of valuation models, such as optimization approaches, to enhance pricing strategies, collaborating with stakeholders to integrate these solutions into business processes., • Price optimization & forecasting for goods: Develop machine learning models to forecast demand and optimize pricing strategies for goods sold by a portfolio company. You’ll build predictive models that incorporate seasonality and competitive pricing data, while quantifying uncertainty and maintaining model explainability to support robust, transparent decision-making. Your Experience: We’re a small, high-impact team with a broad remit and diverse technical backgrounds. We don’t expect any single candidate to check every box below - if your experience overlaps strongly with what we do and you’re excited to apply your skills in a fast-moving, real-world environment, we’d love to hear from you. • Strong technical foundation: Degree in a STEM field (or equivalent experience) with hands-on expertise in a least two of applied statistics, machine learning, forecasting, NLP, or optimization. Experience with uncertainty quantification, model evaluation, and statistical inference is highly valued., • Python expertise: Skilled in building data pipelines and ML models using modern libraries across multiple domains:, • Data science stack: NumPy, pandas / polars, scikit-learn, XGBoost, LightGBM, • Deep learning: PyTorch, JAX, • Statistical programming: NumPyro, PyMC, • Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries and manage data pipelines for analytics and modelling workflows., • Model development & deployment: Familiarity with deploying models into production environments, collaborating with engineering teams, and using tools like MLflow or Weights & Biases for experiment tracking and reproducibility. Proof of work in cloud environments, especially MS Azure, is a plus., • Research mindset with business impact: Ability to translate complex problems into tractable modelling approaches. Strong problem-solving skills, intellectual curiosity, and a pragmatic approach to delivering solutions that drive measurable business value., • Collaboration and Communication: Demonstrated experience working in collaborative development environments using tools like Git and Azure DevOps. Comfortable contributing to shared codebases, participating in code reviews, and managing branches and CI/CD workflows. Proven ability to work cross-functionally with data scientists, engineers, and non-technical stakeholders to translate business needs into technical solutions and ensure successful delivery and adoption. About Us: We are a new, but growing team of AI specialists- data scientists, software engineers, and technology strategists - working to transform how an alternative investment firm with $65B in assets under management leverages technology and data. Our remit is broad, spanning investment operations, portfolio companies, and internal systems, giving the team the opportunity to shape the way the firm approaches analytics, automation, and decision-making. We operate with the creativity and agility of a small team, tackling diverse, high-impact challenges across the firm. While we are embedded within a global investment platform, we maintain a collaborative, innovative culture where our AI talent can experiment, learn, and have real influence on business outcomes.

About Wilgot Wilgot is building the category-defining Agentic Product Optimization (APO) platform for e-commerce. We are addressing the "adapt-or-die" reality that brands face as search shifts from keyword-matching to AI-driven discovery in interfaces like ChatGPT and Google AI Mode. Recognized by Dawn Capital as one of the top AI startups redefining e-commerce, our platform automates the repositioning of product catalogs for global, recognized brands, ensuring every product finds its buyer through intelligent content. What we do Wilgot provides the intelligence layer that transforms "thin" metadata into Intelligent Content optimized for the era of Agentic Commerce. Our Core AI Loop: • Discover: Leverage AI and data analysis (customer queries, first-party data, Google, ChatGPT, Perplexity) across 100+ markets to identify hidden demand, language attributes, and purchase signals. This phase focuses on turning raw data into clear, actionable content strategy., • Generate: Build and deploy systems that create high-quality, structured, and intent-aligned product content (titles, descriptions, attributes, FAQs) natively in 100+ languages. The goal is to optimize content for both user conversion and interpretation/recommendation by AI search systems., • Iterate: Design and manage a continuous feedback and optimization system. Monitor product performance across major search platforms, then programmatically regenerate and improve content based on visibility, engagement, and conversion data to maintain optimal relevance and discoverability. The Role Having validated our proprietary AI engine, we are now scaling it into a sophisticated, autonomous agentic platform. As a Senior AI Engineer, you will transition from AI theory to solving tangible, high-scale engineering challenges. You will work alongside our founding team and our Founding AI Scientist (PhD in Reinforcement Learning) to translate cutting-edge research into enterprise-scale production features. Key Responsibilities • Scale Agentic Architectures: Advance existing workflows into multi-agent systems capable of autonomous reasoning, state management, and self-correction., • Model Development & Fine-Tuning: Lead the full lifecycle, from designing training strategies and curating high-quality datasets to executing model fine-tuning., • Advanced Feature Engineering: Build pipelines that leverage LLMs to extract latent product attributes and consumer intent signals from unstructured data., • System Observability & Reliability: Implement evaluation frameworks to monitor model performance, hallucination rates, and direct business impact., • Technical Leadership: Influence our technical stack and help define the engineering culture of a rapidly scaling startup. Requirements • Technical Depth: Extensive ML engineering experience with a deep understanding of LLM architecture, training and fine-tuning (you don't just call APIs). You know how to use AI to generate features that drive performance, moving beyond basic metadata into deep semantic understanding., • Agentic Systems: Proven experience with agentic frameworks (e.g., LangGraph, PydanticAI) and managing memory and tool-calling in production., • Engineering Mindset: Ability to write clean, testable Python and familiarity with modern MLOps stacks., • Product Experience: Experience shipping ML systems in production for real users, with an experimental mindset and high bar for AI ethics. Why Join Wilgot? • Practical AI at Scale: Solve real-world, high-scale AI problems for global brands., • High Impact Team: Join a small, lean, high-growth team. You'll have significant influence on the technical stack and trajectory with no bureaucracy. You aren't joining a machine, you are part of building it., • Flexible Remote-First: Work remotely with autonomy, prioritizing deep work. Or from one of our hubs in Stockholm or London. We promote in-person collaboration with regular full-team offsites., • Generous Ownership: Receive a generous equity package, ensuring true ownership and a significant stake in the company's value as we scale globally., • Your choice of equipment: We provide a top-tier tech budget for your preferred hardware and home-office setup, ensuring you have the best tools for the job.

Senior Machine Learning Researcher | AI Hospitality Platform | London, Hybrid | Up to £160,000+ Equity & Benefit The Company We are working with a high-growth AI scale-up that is fundamentally changing how the hospitality industry operates. They have built a unique, flexible workforce model that supports some of the UK’s most famous high-street brands. Now, they are layering advanced Artificial Intelligence on top of that operational base to build a "staffing engine" that is unlike anything else in the market. Their product uses multi-year proprietary data to forecast demand and automatically generate optimal staff rotas, allowing businesses to run lean core teams and scale up exactly when needed. This technology is already being used by over 4,000 sites across the UK, and the company is well-funded and preparing for international expansion. This is a rare opportunity to join a 50-person team where you can see your research directly impact the real world. You won’t just be writing papers; you will be building the "brain" behind a platform that manages millions of hours of labour for major global brands. The Role Senior Machine Learning Researcher | AI Hospitality Platform | London, Hybrid | Up to £160,000+ Equity & Benefit You will join the Data team as a Senior Researcher, taking ownership of the core algorithms that drive the platform’s decision-making. While the engineering team focuses on infrastructure and deployment, your focus will be on the mathematical and theoretical models that solve complex logistical problems—specifically around demand forecasting and combinatorial optimization. You will be working with messy, real-world data to create sophisticated models that can predict human behaviour and business needs with high accuracy. You will have the freedom to experiment with new architectures and techniques, bridging the gap between academic research and production-grade software. This role suits someone who loves difficult mathematical puzzles and wants to work in a fast-paced, "pragmatic research" environment. You will work closely with the leadership team to define the future of the product’s intelligence capabilities. Key Responsibilities • Core Algorithm R&D: Lead the research and development of novel machine learning models for time-series forecasting and demand prediction., • Optimization Solvers: Design and implement algorithms to solve complex scheduling and resource allocation problems (e.g., generating the "perfect" rota)., • Model Innovation: Experiment with state-of-the-art techniques (e.g., Deep Learning, Transformers, Bayesian methods) to improve accuracy and robustness., • Data Strategy: Work with proprietary and public datasets to uncover new features and signals that improve model performance., • Production Readiness: Collaborate with ML Engineers to ensure your research models can be scaled and deployed efficiently into a high-traffic production environment., • Mentorship: Act as a technical authority within the team, guiding junior data scientists and shaping the research culture. Requirements for the role: • Academic Background: Strong foundation in Mathematics, Statistics, Computer Science or Physics (PhD or MSc preferred)., • Research Expertise: Deep understanding of Machine Learning theory, specifically in areas like Time-Series Forecasting, Probabilistic Modelling, or Combinatorial Optimization., • Technical Proficiency: Expert-level Python skills with deep experience in libraries such as PyTorch, TensorFlow, or Scikit-learn., • Problem Solving: A track record of applying theoretical concepts to solve messy, real-world business problems., • Communication: Ability to explain complex mathematical concepts to non-technical stakeholders (e.g., Ops or Commercial teams)., • Bonus: Experience with "Human-in-the-loop" systems or workforce management logic. What is in it for you: • Highly Competitive Salary, • Significant Early-stage Equity Options, • Private Health Insurance, • Social, pet-friendly office in London, • Free catered lunches and office snacks If you think you are a good match for Senior Machine Learning Researcher | AI Hospitality Platform | London, Hybrid | Up to £160,000+ Equity & Benefit - Drop over your CV and if we think you are a good match we will give you a shout!

Company Insight: A leading quantitative trading firm is seeking a Data Engineer to join a high-impact data team operating at the core of a large-scale automated trading platform. Data underpins every decision in this environment. This role sits at the intersection of engineering, analysis, and live production, partnering directly with research and trading teams to ensure data flows are accurate, resilient, and research-ready. You’ll work hands-on with diverse datasets, build automation to support real-time systems, and play a critical role in maintaining the integrity of data that drives trading strategies globally. The Role: • Building and automating tools to onboard, classify, validate, and reconcile large, complex datasets, • Analysing and debugging data issues across multi-stage production pipelines, tracing anomalies back to source, • Performing data quality checks and maintaining the reliability of live data feeds supporting trading systems, • Partnering with quantitative researchers to clean, prepare, and featurise data for research and strategy development, • Supporting live trading operations by monitoring data health and resolving time-sensitive production issues, • Working with external data providers, exchanges, and brokers to improve data coverage and robustness Experience/Skills Required: • Experience working hands-on with large datasets to resolve complex, ambiguous issues, • A collaborative approach and comfort working with multiple technical and non-technical stakeholders, • 2+ years’ experience in data engineering, data science, or a related role (with a relevant technical degree), • Strong Python skills, • Experience working with SQL and relational databases, • Comfort operating in a Linux environment, • Exposure to ETL pipelines or production data systems is a plus, • Familiarity with financial or market data is advantageous but not required Pre-Application: • Please do not apply if you are looking for a contract or remote work, • Please ensure you meet the required experience section prior to applying, • Allow 1-5 working days for a response to any job enquiry

A Tier 1 technology-led multi-strategy trading firm is appointing a Quantitative Product Strategist into a highly visible, centrally positioned front-office role. This is a discreet search, driven by the continued expansion of the firm’s quantitative analytics platforms across asset classes and trading styles. The role sits within a central quantitative analytics group that partners closely with trading, quantitative modelling, and engineering teams across the firm. The mandate is not to own a trading book or build models in isolation, but to ensure the right quantitative ideas are translated into trusted, usable production systems. This is a genuinely hybrid role, designed for someone who is comfortable operating at the intersection of markets, models, and systems, and who enjoys shaping problems under ambiguity rather than working from fully specified requirements. You will work closely with traders, portfolio managers, and quantitative teams to frame analytical needs, while partnering with engineering groups responsible for live trading, risk, and P&L platforms to ensure correct implementation and prioritisation. This is emphatically not a desk quant, quant research, or pure software engineering role. The value-add is judgement, clarity, and product ownership — not depth in a single vertical or volume of code written. The scope includes ownership and evolution of several front-office quantitative platforms, including: • Risk and P&L analytics used by discretionary trading teams, • User-facing trading and analytics tools, • Core quantitative libraries and their integration into live systems, • New AI-enabled analytics and tooling being rolled out across the firm The role requires constant context switching and close engagement with multiple stakeholders, often under time pressure. Success is defined by correctness, trust, and adoption — not by theoretical sophistication alone. The team operates as a small, senior, low-ego group with significant influence over what gets built and when. While some prototyping or analysis may be required, heavy production development and deep original model research are explicitly not the focus. Requirements • 3+ years’ experience in a front-office or front-office-adjacent quantitative, analytical, or trading-facing role, • Strong quantitative foundation (e.g. quantitative finance, financial engineering, applied mathematics, physics or similar), with credibility in front of traders and quants, • Early-career front-office or front-office-adjacent experience in a quantitative, analytical, or trading-facing role, • Technical fluency with production analytics and data (Python, C++ or similar; SQL and time-series experience a plus), • Familiarity with market data, pricing, risk, and P&L concepts in live trading environments, • Experience working closely with engineering teams to deliver or evolve live systems, • Ability to operate across business, analytics, and technology rather than within a single silo, • Strong communication skills, with the ability to translate between traders, quants, and engineers, • Comfort operating under ambiguity, frequent context switching, and time pressure This search is being conducted discreetly. Further detail will be shared during an initial confidential discussion. To apply, either respond to this advert or send your CV directly to .

ABOUT DESCARTES UNDERWRITING Descartes was born out of the conviction that the ever-increasing complexity of risks faced by corporations, governments and vulnerable communities calls for a renewed approach in insurance. Our team brings together industry veterans from the most renowned institutions (AXA, SCOR, Swiss Re, Marsh, Aon, ...) and scientists on top of their field to bring underwriting excellence. After 5 years of existence, Descartes has secured a leading position in parametric insurance for weather and climate-related risks utilizing machine learning, real-time monitoring from satellite imagery & IoT. After a successful Series B raise of $120M USD, we launched Descartes Insurance, a 'full stack' insurer licensed to underwrite risk by the French regulator ACPR. With a growing corporate client base (400+ and counting), our diverse team is headquartered in Paris and operates out of our 18 global offices in North America, Europe, Australia, Singapore and Japan. Descartes is trusted by a panel of A-rated (re)insurers to carry out its activities. ABOUT YOUR ROLE Due to rapid growth, we are seeking to expand our Data Science team and we are looking for Data Scientist Interns (end of studies) to be part of our team based in London. The Underwriting team takes action subsequently in modeling, structuring and pricing of parametric insurance covers to deliver insurance products to a worldwide based public sector and corporate clients in a few day to a year timeframe. These roles will allow you to gain knowledge of the insurance industry and the emerging risks (natural catastrophes, cyber…), all while collaborating closely with other internal teams (Software, Operations, Legal and Commercial) and our external partners. At the core of our company’s strategy, your missions will focus on : • Conducting structuring work, risk analysis and insurance proposal for worldwide public sector and corporate clients;, • Discussing business opportunities with Descartes’ partners and being responsible for technical documentation and insurance contracts redaction;, • Collaborating with the business team to understand client needs and issues to further improve our product offering;, • Participating in the development of Descartes’ technological platform to differentiate Descartes from its competitors (models and pricing tools);, • Working autonomously and pragmatically to make appropriate technical decisions with attention to details. Your missions will evolve in the future as Descartes is growing fast and many exciting projects are waiting for you. It's a unique opportunity to take a closer look inside a fast-growing scale up with huge ambitions ABOUT YOU EXPERIENCE & QUALIFICATIONS • Student from academic institutions, universities or engineering schools with a specialization in computer science, applied mathematics, climate, meteorological studies or data science for business;, • Keen interest in climate related topics;, • Highly skilled in statistics, probabilities, applied mathematics and machine learning methods;, • Eye for quality and attention to detail;, • Fluency in English (written and verbal communication) is required;, • Proficiency in Python (e.g. pandas, scikit-learn);, • Interested in weather and natural perils modelling (wildfires, hail, tsunamis, earthquakes etc);, • Excellent team player able to work under pressure and respect deadlines;, • Strong desire to learn and commitment to the organization’s mission;, • Results oriented, high energy, with the ability to work in a dynamic and multi-cultural environment;, • Motivated to help improving businesses’ and communities’ resilience to climate change. WHY JOIN DESCARTES UNDERWRITING ? • Opportunity to work and learn with teams from the most prestigious schools and research labs in the world, allowing you to progress towards technical excellence;, • Work in a collaborative & professional environment ;, • Be part of an international team, passionate about diversity ;, • Join a company with a true purpose – help us help our clients be more resilient towards climate risks;, • Attractive remuneration according to the profile, meal voucher, 60% transport reimbursement. At Descartes Underwriting, we cherish the value of diversity whatever it may be. We are committed to fighting against all forms of discrimination and for equal opportunities. We foster an inclusive work environment that respects all differences. With equal skills, all our positions are open to people with disabilities. RECRUITMENT PROCESS • Step 1: HR Interview with our Talent Recruiter, • Step 2: At home technical online test (Github repository), • Step 3: Remote technical interview with a Data Scientist, • Step 4: In-person team interview to meet our team and discover our offices (held remotely if you are abroad)

LLM, RAG & Agentic AI Engineer – Insurance Sector Occasional travel client offices and two trips to London HQ per month Role Overview Lead the design and delivery of AI-native transformation initiatives for insurance clients, spanning agentic systems, retrieval architectures, semantic layers and decision intelligence. This is a senior, hands-on consulting role combining deep AI engineering expertise with strong client-facing presence, shaping both insurance-specific client outcomes and the firm’s long-term AI engineering capability. As demand accelerates across claims automation, underwriting decision support, policy servicing, fraud detection, compliance and operational efficiency, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution within regulated insurance environments. The Consulting Engineer is a hands-on AI systems builder who combines engineering depth with commercial and product thinking to design, build and deploy LLM- and agent-driven solutions for insurers, brokers and value chain partners. You will work directly with senior insurance stakeholders (Claims, Underwriting, Operations, IT, Risk, Compliance, Actuarial) and alongside consulting and orchestration roles, translating complex insurance problems into safe, reliable and auditable AI solutions. Key Accountabilities Client-Facing AI Engineering & Agentic System Design (Insurance-Focused) You will design and deliver production-grade AI systems for insurance clients, including: • LLM-powered applications for claims handling, underwriting support, policy servicing, document processing and customer operations, • Multi-agent architectures for insurance workflows, including triage, decision support, escalation, delegation and human-in-the-loop controls, • Retrieval and vector-based systems over policy wordings, endorsements, claims files, loss runs, underwriting guidelines and regulatory documentation, • Semantic layers, ontologies and knowledge models aligned to insurance data structures, coverage logic and risk taxonomies, • Integrations with core insurance platforms (claims systems, PAS, underwriting workbenches), data warehouses and third-party providers, • Prompt engineering at scale with regulatory guardrails, explainability, traceability and auditability, • Safety constraints for hallucination control, coverage interpretation accuracy and customer-facing use cases Technical Discovery, Feasibility & Solution Architecture Working closely with consulting counterparts, you will: • Translate ambiguous insurance challenges into clear, feasible AI solutions, • Assess client data maturity, policy document quality, legacy platforms and security constraints, • Shape use cases across claims leakage reduction, underwriting efficiency, fraud detection and compliance automation, • Work directly with insurance SMEs to surface edge cases, exceptions, regulatory nuances and operational realities, • Produce clear, concise technical artefacts suitable for regulated, risk-aware client audiences Delivery Excellence, AI Ops & Reliability (Regulated Environments) You will ensure solutions are enterprise-ready and regulator-safe by: • Implementing evaluation frameworks for accuracy, coverage interpretation, decision consistency and bias, • Designing monitoring, logging and tracing suitable for regulated insurance environments, • Applying governance, risk and compliance principles (eg audit trails, explainability, access controls), • Supporting controlled releases and operational handover into insurer IT and operations teams, • Ensuring reliability, reproducibility, performance and cost discipline at insurance scale Reusable Assets & Insurance AI Capability Building As part of a consulting-led engineering practice, you will: • Build reusable insurance-specific accelerators, agent patterns and reference architectures, • Contribute to internal playbooks covering claims, underwriting, policy servicing and compliance use cases, • Share emerging research, frameworks and AI trends relevant to the insurance sector, • Influence delivery methodology, technical standards and agentic design patterns for regulated industries Experience & Skills This is a hands-on consulting engineering role. Candidates should bring: • Experience in software engineering, AI engineering or applied data engineering, • Strong hands-on experience with LLMs, embeddings, RAG pipelines and vector databases, • Experience designing or implementing multi-agent systems or tool-calling frameworks, • Strong Python skills with experience building production-grade, regulated systems, • Experience with at least one major cloud AI ecosystem (Azure/OpenAI, GCP/Vertex, AWS, Anthropic), • Familiarity with semantic modelling, ontologies or knowledge graph concepts, ideally applied to complex domains, • Proven ability to rapidly prototype and validate solutions with business stakeholders, • Experience working directly with clients in consulting, professional services or regulated enterprise environments, • Insurance domain experience (claims, underwriting, policy, risk, compliance or adjacent systems) strongly preferred

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

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

This role sits within a global, technology-driven investment firm running systematic and quantitative strategies across financial markets. The firm builds its own trading, research, and data platforms in-house. As a Quant Developer, the role bridges quantitative research and engineering. You’ll work closely with researchers to turn ideas and models into robust, scalable software used in research and live trading. This includes building tools and workflows for data analysis, backtesting, and production trading systems, as well as owning and supporting critical components throughout their lifecycle. What they’re looking for • Degree in computer science, engineering, mathematics, physics, or similar, • 2+ years’ experience with Python, C++, or kdb+/q, • Understanding of financial data, storage, and analysis, • Experience with modern software development practices, • Strong technical communication skills Nice to have • Strong quantitative skills, • Experience designing software solutions and workflows, • Exposure to CI, monitoring, and databases

Urgent requirement x7 Snr Data Scientists - Start ASAP! 🗓️ 12 month rolling contracts 📄 Inside IR35 💰 £600-£700 per day 🌍 UK, hybrid London (1 day office per week) I need people who have worked on production ready applied data science products, we are not interested in research heavy backgrounds for this project. Any forecasting / optimization experience is great, particularly in Supply Chain or Logistics domains. You’ll be comfortable with ambiguity and will want to dive deep and fix problems at scale. The environment looks a bit like this 👇 👉 Python (pandas, numpy, scipy, PySpark) 👉 SQL 👉 AWS or GCP (BigQuery / RedShift / Snowflake) 👉 Spark / Databricks 👉 Airflow / Dagster

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

Full Stack Engineer – New Launch Hedge Fund (L/S Equity) Location: London Type: Full-time (5 days per week on-site in Victoria) A newly launched fundamentally driven long/short equity hedge fund, focused on the European Industrials sector, is seeking a talented Engineer to join its growing London-based team. The firm, currently composed of senior professionals from top-tier hedge funds including Citadel, DE Shaw, and Millennium, operates in a high-trust, high-accountability environment with a strong investment focus and entrepreneurial culture. Reporting to the CRO and collaborating closely with investment and data teams, this role offers the opportunity to design and deliver greenfield systems that visualise complex financial data, support analytical workflows, and integrate seamlessly with backend infrastructure. You’ll play a key role in shaping the fund’s research and tooling platform from inception. Responsibilities: • Build and maintain full-stack applications and internal tools, with an emphasis on high-performance, data-intensive frontend systems., • Collaborate directly with investment professionals, quants, and data scientists to develop responsive dashboards and analytical interfaces., • Integrate frontend components with Python-based backend services and APIs., • Optimise application performance for large datasets, leveraging efficient data manipulation and visualisation techniques. Qualifications: • 1–7 years of professional software engineering experience., • Strong academic background from a leading university., • Deep experience with modern JavaScript frameworks (React preferred), TypeScript, and data visualisation tools., • Proficiency in Python and familiarity with data workflows and backend frameworks (FastAPI/Flask)., • No sponsorship available – candidates must have the right to work in the UK.

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

Machine Learning Engineer | Early Stage Deep Tech Start Up | London I am partnered with an early stage, London based start up that is building an AI native intelligence layer for private market investing. The platform transforms fragmented documents, deal histories, and proprietary investment data into structured, searchable intelligence for private equity, venture capital, and private credit teams. They are hiring a Founding Machine Learning Engineer to join at early stage, with real ownership over both the core technology and the product direction. This role suits someone with a strong academic background from a leading university, alongside clear evidence of success in high ownership projects: Responsibilities • Design and build machine learning models for document understanding, knowledge graphs, and data extraction, • Develop generative AI systems for research, summarisation, and investment memo drafting, • Solve complex problems involving unstructured and proprietary private company data, • Contribute to technical architecture and applied research direction, • Work closely with the founders on product decisions and feature delivery On offer • The opportunity to build a deep tech AI model and conduct original, applied research, • Founding engineer responsibility with high visibility and influence, • Hybrid working model in London, • Salary up to £50k plus meaningful equity, • Genuine ownership over what is built from day one If you meet the above criteria and want to help build foundational AI technology within a small, ambitious team, please get in touch.

Our client is a global, multi-billion AUM quantitative investment manager operating across all major liquid markets. With a strong track record and a research-driven culture, they continue to scale aggressively across trading and technology. They are now looking for a Software Engineer to join a high-impact derivatives team responsible for the accuracy, automation and reliability of all futures and options lifecycle processes across the firm. You will design, build and maintain scalable systems that manage expiries, contract rolls, corporate actions, coupon payments and other lifecycle events, ensuring full data integrity for front-office trading and research teams. Tech Stack: Python/C#, SQL, distributed systems, CI/CD pipelines The core function of this role is to ensure the availability, quality and automation of derivatives reference data and lifecycle workflows across global exchanges, directly supporting trading, operations and risk. The firm offers market-leading compensation and a collaborative engineering culture.

Join a top-tier algorithmic trading firm using cutting-edge machine learning to price 50,000+ instruments across equities, fixed income, FX, commodities, and crypto. You’ll take ownership of building and owning the core systems that power trading and research across the firm — from corporate actions and fundamentals to index data. This is not about hoarding alternative data; it’s about creating clean, reliable, business-critical datasets that the entire firm depends on. What you’ll do • Build and optimise automated data ingestion pipelines, • Own and improve distributed systems used firm-wide, • Apply statistical and algorithmic techniques to improve data quality, • Work closely with internal users to ship impactful improvements, • Operate with real ownership and autonomy in a high-stakes environment What we’re looking for • 2–5 years’ experience as a software engineer, • Strong fundamentals in algorithms & data structures, • Proficiency in Java, C++, Go, or similar (Go experience not required), • Experience with distributed systems, • Interest in data analysis / statistics (regressions, data validation, basic ML), • Relational database experience a plus, • Finance knowledge helpful but not required Why this role • Work directly alongside the investment process, • High ownership, high impact engineering, • Exceptional culture and technical bar, • Hybrid working (4 days office / 1 home), • Outstanding benefits Contact Ciara Clarke at Harrington Starr for a confidential discussion.

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,400+, and has 60 offices in 20 countries within key global markets. Ourchallenge: We are seeking an experienced OpenShift Architecture and Migration Design Specialist to lead the design, planning, and execution of OpenShift architectures and migration strategies. The ideal candidate will have expertise in designing robust, scalable, and secure OpenShift environments, as well as creating and implementing migration plans for transitioning workloads and applications to OpenShift. Experience with VMware and Pure Storage is essential to ensure seamless integration with existing infrastructure. Key Responsibilities: • Architecture Design: Design the target architecture for OpenShift, including cluster topology, networking, and storage solutions. Define and implement best practices for OpenShift cluster setup, including multi-zone and multi-region deployments. Ensure the architecture supports high availability, fault tolerance, and disaster recovery., • Migration Design and Optimization: Assess existing infrastructure, applications, and workloads to determine migration readiness. Develop detailed migration plans, including strategies for containerization, workload transfer, and data migration. Implement migration processes, ensuring minimal downtime and disruption to business operations. Identify and mitigate risks associated with the migration process., • VMware and Pure Storage Integration design: Design and implement OpenShift solutions that integrate seamlessly with VMware virtualized environments. Leverage VMware tools (e.g., vSphere, vCenter, NSX) to optimize OpenShift deployments. Configure and manage Pure Storage solutions (e.g., FlashArray, FlashBlade) to provide high-performance, scalable storage for OpenShift workloads. Ensure compatibility and performance optimization between OpenShift, VMware, and Pure Storage., • CI/CD Pipelines and DevOps Workflows: Design and implement CI/CD pipelines tailored for the OpenShift environment. Integrate DevOps workflows with OpenShift-native tools and third-party solutions. Automate deployment, scaling, and monitoring processes to streamline application delivery., • Scalability and Security: Ensure the architecture and migration plans are scalable to meet future growth and workload demands. Implement security best practices, including role-based access control (RBAC), network policies, and encryption. Conduct regular security assessments and audits to maintain compliance with organizational standards., • Collaboration and Documentation: Work closely with development, DevOps, and operations teams to align architecture and migration plans with business needs. Provide detailed documentation of the architecture, migration strategies, workflows, and configurations., • Offer technical guidance and training to teams on OpenShift architecture, migration, and best practices. Required Skills and Qualifications: • Strong experience in designing and implementing OpenShift architectures and migration strategies., • In-depth knowledge of Kubernetes, containerization, and orchestration., • Expertise in VMware tools and technologies (e.g., vSphere, vCenter, NSX)., • Hands-on experience with Pure Storage solutions (e.g., FlashArray, FlashBlade)., • Expertise in networking concepts (e.g., ingress, load balancing, DNS) and storage solutions (e.g., persistent volumes, dynamic provisioning)., • Hands-on experience with CI/CD tools (e.g., Jenkins, Github, ArgoCD) and DevOps workflows., • Strong understanding of high availability, scalability, and security principles in cloud-native environments., • Proven experience in workload and application migration to OpenShift or similar platforms., • Proficiency in scripting and automation (e.g., Bash, Python, Ansible, Terraform)., • Excellent problem-solving and communication skills. Preferred Qualifications: • OpenShift certifications (e.g., Red Hat Certified Specialist in OpenShift Administration)., • Experience with multi-cluster and hybrid cloud OpenShift deployments., • Familiarity with monitoring and logging tools (e.g., oTel, Grafana, Splunk stack)., • Knowledge of OpenShift Operators and Helm charts., • Experience with large-scale migration projects. S YNECHRON’S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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

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.

Kurt Geiger | About Us We are an inclusive, creative footwear and accessories brand powered by kindness. We want to empower our talent to be confident and true to themselves, the London way. London is our home, our heartbeat, and we draw inspiration from the energy and spirit of the city; its diversity and creativity. For over fifty years our team of in-house shoe and accessory designers have been creating authentic, distinctive designs from our London headquarters. The rainbow is our signature. It represents the good energy and love we have for our community and the many ways we collectively express our individual style. We Are One: For Love | For Diversity | For Change | For Equality | For Kindness For Freedom | For Unity Against Racism We are looking for an experienced Footwear Technologist, ideally with a background in manufacturing and sourcing of premium women’s footwear and leather goods. A thorough knowledge of footwear development and manufacturing. Has a good awareness of market trends to ensure that the footwear is functional, comfortable, and aesthetically pleasing. Main Duties • Support the Sourcing Team by maintaining data regarding supplier quality issues and ensuring that records are maintained and updated, • Facilitating raw material and sample testing and communicating the results to internal stakeholders, • Help to collate the data on leather sourcing and volumes to provide the Leather Working Group, • Becoming familiar with compliance and regulations to ensure that the necessary processes and documentation is followed and in order and records are kept, • Accessing the internal order tracking system to advise on Head of Sourcing on shipment schedules, so the resources in Asia can be applied to the right factories, • Follow up with the distribution centres in the UK, Europe and the US to ensure that any sample to illustrate issues are being sent to HQ and the suppliers, • Support cost negotiations & work closely with brand partners to ensure prices and margins are achieved, • Work proactively with the UK team and Asia Supply Chain team to take appropriate action on production schedules and material approvals, • Send samples off for testing and following up on quality related issues, • Build cross-functional team relationships to confidently communicate information regarding supply chain related issues, • Assist and support the team with day-to-day duties Requirements • Carry out regular store visits to report on quality standards, • Product data input on the required systems, • Complete seasonal product reports for senior leadership meetings, • Support other departments when cover is needed, • Where necessary go on trips with the Buyer and/or Designer to suppliers around the world, • Liaise with DC QC team to ensure that products are inspected appropriately, • Investigate quality issues, find solutions and report findings to the QA Technical manager, • Ensure emerging issues are resolved quickly and effectively, • Ensuring traceability of confirmation samples into the warehouse is maintained, and that you have an oversight of the DC inspection process, • Ensure all damaged goods, manufacturing faults, transit damages are processed in an appropriate manner and that all costs are recharged to responsible parties through correct process, • Ensure international compliance documentation is accessible in the central system to prevent shipping delays Skills • Technically trained in footwear fitting and grading, • Previous experience in footwear production or sourcing, • Can work to tight deadlines, • A strong and effective communicator, • Has experience in women’s premium fashion footwear, • Inquisitive and confident - enjoys researching and summarising information on ad-hoc projects, • Project management skills - the ability to manage multiple areas of work and ensure deadlines are met and work is delivered to a high standard, • Attention to detail and accuracy essential- the ability to research, understand and relay information on legislation and advise actions as required to the relevant stakeholders, • Has a good understanding of leather, • Has Microsoft Word, Excel and PowerPoint Skills Benefits • Competitive basic salary, • Pension and life assurance, • Enviable discounts, • Gym Discounts, • Summer Hours - 3pm Friday finish, • Half Day, Pay Day Friday (once per month), • RetailTrust support, • And so much more! Our Culture We’re an energic fast-paced brand that embraces progress and strives for innovation. Hard work is rewarded with new opportunities at every level and kindness is celebrated in everything we do. Our summer working hours accommodate a healthy work life balance. Wellbeing is important to our working culture, which is why we nurture a friendly environment for talent to thrive in, alongside a vibrant social community. Our Stores The first Kurt Geiger store opened on London Bond street in 1963. Today, our brand has global appeal and is distributed in hundreds of cities around the world. We operate over 70 stand-alone stores nationwide, including our new flagship store on London Oxford street, and in over 400 stores globally. Beyond stand-alone stores and retail pop ups, our retail partners include some of the world’s most famous department stores. We Are One: For Love | For Diversity | For Change | For Equality | For Kindness | For Freedom | Against Racism

Junior Data Specialist | Renewable Energy | London (Hybrid) | Up to £50k With hundreds of millions of pounds in funding, this company will play a critical role in the transition away from fossil fuels. This role offers the opportunity to work closely with industry leaders while helping to build the data systems required for a 100% renewable electricity grid. Are you a methodical graduate who enjoys the “detective work” behind real-world data? This position goes beyond building pipelines – you’ll work hands-on with the complex, messy data that underpins UK energy markets, trading, and grid analytics. This is a rare opportunity to develop deep expertise in GB balancing market data using a modern data stack (Python, dbt, PostgreSQL, GitHub Actions), with no legacy Excel workflows. The Role As a Junior Data Specialist, you will: • Perform data detective work: Investigate, map, and clean complex energy datasets — for example, cross-referencing Elexon API data with manual research to correctly link power plants and substations., • Wrangle real-world data: Reconcile legacy data formats, manage time-series outliers, and resolve inconsistencies across different energy market message types., • Build and automate: Write Python scripts to ingest data from National Grid ESO and Elexon APIs, using dbt and SQL to implement transformation logic., • Document critical insights: Maintain reference datasets and clearly document mappings, assumptions, and edge cases that support trading and operational decisions. What You’ll Bring • Education: A recent graduate in a quantitative discipline such as Computer Science, Physics, Mathematics, Engineering, or Economics., • Python skills: Strong foundations in Python, with the ability to write clean, readable code using pandas and numpy., • Data fundamentals: Comfortable using SQL to query and transform data, with a sharp eye for identifying when data doesn’t look right. Why Join Us? • Meaningful impact: Work on data that directly influences how the UK power grid is balanced., • Hybrid working: A collaborative environment with regular time in our London office (4 days per week)., • Develop rare expertise: Build highly valuable knowledge of the UK’s complex energy infrastructure., • Modern data stack: A reproducible, scalable environment built with modern tools and best practices.

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.

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.

At Champion Data, our dedicated team are united by sport and driven by data. We strive to revolutionise and transform sport data globally by leveraging our cutting-edge technology and expert team, ensuring we deliver the best possible outcomes for our partners and clients. About the job The Senior AI / Innovation Engineer is a hands-on, full-stack engineer operating at the intersection of software engineering, applied AI, and innovation. This role is the founding engineering member of the AI Innovation team and will work closely with the CTO, engineering leaders, and internal stakeholders to prototype, validate, and operationalise AI-driven solutions. This is not a research role. The focus is on engineering usable systems, building end-to-end proofs of concept, and rapidly iterating based on real operational needs. The successful candidate will be comfortable operating in a domain of continual change, where priorities evolve, problems are loosely defined, and speed-to-learning matters. This is a full-time permanent role based in the United Kingdom. We operate a hybrid working model, with regular time spent in our central London office to collaborate with engineering and product teams. The role may include participation in on-call or live-support activities where AI systems intersect with real-time sporting operations, though this is not the primary focus of the role. Key Responsibilities • AI & Innovation Engineering - Design, build, and iterate on AI-powered tools, services, and workflows that improve how Champion Data engineers, operates, and delivers at scale., • End-to-End Prototyping - Rapidly engineer end-to-end proof-of-concepts, spanning frontend, backend, infrastructure, and AI components, to validate ideas before broader rollout., • Agentic & LLM-Based Systems - Build and experiment with agentic workflows, LLM-driven systems, retrieval-augmented generation (RAG), and tool-using agents integrated with internal platforms (e.g. Slack, APIs, CI/CD, cloud services)., • Full-Stack Development - Develop across the stack, including user-facing interfaces, APIs, services, and cloud infrastructure, with a strong bias toward practical usability and maintainability., • Applied AI Integration - Apply modern AI capabilities pragmatically to real engineering and operational problems, focusing on reliability, observability, and safe deployment rather than novelty alone., • Innovation Handover - Work closely with core engineering teams to transition successful prototypes into production-ready solutions, including documentation, patterns, and technical guidance., • Creative Problem Solving - Operate effectively in ambiguous problem spaces, framing problems, proposing solutions, and adapting quickly as constraints and requirements evolve., • Technical Influence - Contribute to emerging standards, patterns, and best practices for AI usage across the engineering organisation, helping lift overall capability., • Continuous Learning - Stay current with developments in AI tooling, LLM ecosystems, and software engineering practices, and proactively assess where they can deliver real value. About You • Strong full-stack engineering background, with experience building production software systems end-to-end, • Hands-on experience working with LLMs, agentic workflows, prompt engineering, or AI orchestration frameworks, • Experience building APIs, services, and user-facing tools that integrate AI capabilities into real workflows, • Comfort working across multiple languages and frameworks (e.g. TypeScript, Python, C#, frontend frameworks), • Practical experience with cloud platforms (AWS preferred) and modern deployment patterns, • Strong problem-solving skills and the ability to operate with autonomy and initiative, • A creative, experimental mindset balanced with solid engineering discipline, • Ability to pivot between projects and ideas quickly without losing momentum, • Clear communication skills and the ability to collaborate across technical and non-technical stakeholders, • Prior experience in sports, data platforms, or real-time systems is beneficial but not required. This role is well suited to a high-mid or early-senior engineer who is ready to step into a broader innovation remit, or a senior engineer who enjoys hands-on building more than formal people management. You should be energised by uncertainty, motivated by impact, and excited by the opportunity to help define how AI is used across an entire engineering organisation. Tell me more about Champion Data For over 20 years, Champion data has been at the forefront of delivering sports stats globally.With a global presence in Australia, the USA, the UK, and Asia, we specialise in real-time data collection, storage, analysis, distribution, and visualisation. We track every play and movement, delivering unbeatable game intel through seamless integration systems. Our unrivalled visual packages, in partnership with leading media outlets, ensure a sensational sports broadcast experience. We work across numerous major sports, including AFL, NRL, Football, Horse Racing, World Netball, LIV Golf, Tennis, and Lacrosse. As we continue to expand globally, we aim to solidify our position as the leading sports data company. At Champion Data, our people are at the core of our success, driving the innovation and passion that underpin our company culture. By joining our team, you will be part of a motivated group with a ‘can-do’ attitude, eager to embrace challenges and committed to personal and professional growth. At Champion Data we will enable you to be your own champion. Our Core Values: To challenge the Playbook / To be an Elite Partner / To Champion Team Why Join Champion Data? We offer flexible hybrid working arrangements, financial support for setting up a remote workspace and a strong focus on health and wellbeing. Our team culture is vibrant and supportive, including regular social events, team lunches, and more. We also provide extensive employee benefits, including access to our wellness program and additional leave through Mindful Me Days. What benefits does Champion Data offer the team in the UK? • Mindful Me Days: Four days per year dedicated to your wellbeing, • Flexible Working: Our team works globally in a hybrid environment, which includes two weeks per year, during which you can work remotely from anywhere worldwide., • UK Office: Access to a co-working space in Soho, London., • Our spaces: all of our offices have great end-of-journey facilities; including showers, wellness/prayer room & games, • Employee Assistance Programs: 24/7 Access to financial support and counselling, • Wellness Incentive: To help support your home office setup or contribute towards a wellness activity/service of your choosing, • Get to the Game: Funds towards tickets for you and your family/friends to attend sporting events globally., • Advance You Learning and Development: Annual budget to spend on learning and development activities plus Brain Block Time, this is time set aside monthly to learn or study., • Social Events: Including an annual Family Day & Volunteer Day, • Paid Parental Leave When you join Champion Data, you will have the opportunity to step into a fast-growing, dynamic business during an exciting period of expansion. Each day brings new challenges and opportunities to collaborate with diverse clients across the sports, technology, and broadcast media industries. We look forward to hearing from you and welcoming you to Champion Data. #thestorybehindthegame

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

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

Welcome to Lomond, the UK's leading network of lettings and estate agencies. We are not just a successful acquisitions company; we have established ourselves as a prominent player in the real estate industry. Our extensive network consists of 12 leading lettings and estate agencies, and we have made over 80 strategic acquisitions to date. At Lomond, we are relentlessly committed to excellence and dedicated to transforming the real estate landscape. With our team's vast industry expertise and local knowledge, we are here to redefine expectations in our sector and lead the way for change. We’re looking for a Data Engineer to join us here at Lomond. You’ll work closely with our Chief Commercial Officer to research and turn complex data into clear, actionable insights that shape business strategy and market positioning across the UK. This is a full-time, permanent position located in our Liverpool Street, London office. You will be required to be You'll enjoy a standard workweek of 37.5 hours, Monday to Friday, 9am to 5.30pm. Job Overview Own the build and reliability of our modern data platform across Azure/Microsoft Fabric and Snowflake. You’ll design and operate ingestion and transformation pipelines (dbt), integrate external data via APIs, optimise warehouse performance/cost, and manage secure access (RBAC) so data remains trusted, governed, and ready for analytics and reporting. Key Responsibilities • Data Engineering & Pipelines, • Design, build, and operate data ingestion and transformation pipelines in Azure Data Factory / Fabric Data Factory., • Implement medallion architectures in Microsoft Fabric Lakehouse/Warehouse or Azure Synapse. Develop and maintain dbt projects including models, tests, and documentation., • API Integrations & Semistructured Data, • Build connectors for REST/GraphQL APIs with proper authentication and schema handling. Ingest and normalise JSON/Parquet with schema evolution., • Reliability, Observability & Support, • Implement monitoring, freshness checks, and incident response. Troubleshoot production issues and ensure reliable pipelines. Skills & Experience (Required) Cloud & Platforms: • Azure (Data Factory / Fabric Data Factory; Fabric Lakehouse/Warehouse or Synapse/SQL DW)., • dbt (models, tests, documentation, environments) and strong SQL., • Modern modelling (star/snowflake schemas; medallion architecture; staging→curated marts)., • API ingestion (OAuth2/API keys, pagination, error handling, schema evolution)., • Foundational DBA skills (backup/retention, access control, resource monitoring, performance/cost optimisation)., • Clear documentation, strong problem-solving, and effective collaboration across technical and business teams. Reward & Benefits Health & Wellbeing – Access to our smart spending app with discounts at 900+ retailers, wellbeing resources, free counselling, and a Virtual GP service. Learning & Development – We’ll support your professional growth with funded qualifications and over 90 in-house training programmes. Holidays & Enhanced Leave – Up to 28 days’ holiday plus bank holidays, your birthday off, the option to buy extra days, and enhanced family friendly leave (Neonatal, maternity, paternity, adoption & IVF). Lifestyle Perks – Cycle2Work scheme, Smart Tech scheme for the latest gadgets, and celebrations for long service. Security & Support – Life assurance cover to protect your loved ones.

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

Job Title: Forward Deployed Engineer Employment Type: Full time Duration: Permanent Location: London (Temple) – Hybrid 3 - 4 days in office Start Date: Immediate We are hiring a Forward Deployed Engineer with strong fundamentals and meaningful production experience. This is a Python-first role focused on building well-designed, reliable software. You will help evolve a proven prototype into a robust platform that operates cleanly across a range of client environments. Our systems transform unstructured contractual documents into structured, machine-readable data. The work sits at the intersection of data engineering, system design, and practical MLOps. The emphasis is on writing clear, maintainable code, building stable pipelines, and ensuring predictable, observable behaviour in production across client environments. What You’ll Do • Build code that gets deployed across multiple client environments and keep it consistent, stable, and easy to update., • Communicate clearly with both technical and non-technical stakeholders about system behaviour, trade-offs, risks, and timelines., • Build and maintain production-grade Python services for document ingestion, transformation, and structured output., • Design components and pipelines that are modular, testable, and straightforward to operate., • Work with the Head of Product to develop a clear, maintainable architecture for the core platform., • Work inside client systems when needed, adapting deployments to cloud, hybrid, or on-prem setups., • Implement CI/CD pipelines, containerization, and automation to support regular releases., • Write solid tests, add validation checks, and maintain the systems that keep the platform stable between versions. Requirements • At least 3 years of experience building and operating production Python systems, with strong depth in the language., • Strong understanding of software architecture, testing, deployment, and monitoring, particularly in cloud environments such as AWS, Azure, or GCP., • Proven ability to write clean, modular, well-structured code that can be deployed, maintained, and extended across multiple environments., • Experience working with data pipelines or data model-driven systems in production, including versioning, validation, monitoring, and reproducible deployments., • Familiarity with MLOps practices as they apply to real production systems rather than research prototypes., • Experience working across cloud, hybrid, and on-prem environments, often within client-managed infrastructure for corporate customers., • Ability to operate effectively in ambiguous, client-driven environments, shaping work, proposing pragmatic solutions, and taking ownership end to end., • Strong communication skills, including the ability to present complex technical concepts clearly to non-technical clients and to work through evolving requirements in live engagements. Bonus Points • Past work shipping AI or data-heavy systems into production., • Background in small, product-focused engineering team., • Experience with semantic or graph technologies (RDF, JSON-LD, Neo4j, Neptune etc.)., • Exposure to ontology or schema alignment in complex domains.

For almost 50 years, Williams has been at the forefront of one of the fastest sports on the planet, being one of the top three most successful teams in history competing in the FIA Formula 1 World Championship. With an almost unrivalled heritage of engineering and racing F1 cars and unforgettable eras that demonstrate it is a force to be reckoned with, the British squad boasts 16 F1 World Championship titles to its name. Since its foundation in 1977 by the eminent, late Sir Frank Williams and engineering pioneer Sir Patrick Head, the team has won nine Constructors’ Championships, in association with Cosworth, Honda and Renault. Its roll call of drivers is legendary, with its seven Drivers’ Championship trophies being lifted by true icons of the sport: Alan Jones, Keke Rosberg, Nelson Piquet, Nigel Mansell, Alain Prost, Damon Hill and Jacques Villeneuve. The team has made history before and is out to make it again with a long-term mission to evolve and return to the front of the grid. Job Description Role Purpose: The Senior Legal Counsel will play a critical role in supporting the legal, commercial, and regulatory activities of Atlassian Williams F1 in a fast-paced, high-stakes global environment. This position provides strategic and operational legal advice across all aspects of the team’s racing, technical, commercial, and corporate functions, ensuring compliance with FIA regulations, Formula One Management requirements, and applicable international laws. Reporting to the General Counsel, the Senior Legal Counsel will act as a trusted adviser to senior leadership and key stakeholders, helping to manage legal risk while enabling the team to compete and innovate at the highest level of motorsport. This is a hands-on role requiring strong commercial judgment, the ability to work autonomously, and the confidence to advise senior stakeholders in a dynamic and competitive setting. Main Duties: Provide high quality, pragmatic and commercially focussed legal advice and support to the business, including the following tasks: * Drafting, reviewing, negotiating and advising on a variety of commercial contracts including supply and purchase agreements, manufacturing agreements, SaaS agreements, collaboration agreements, sponsorship and licensing agreements. * Providing comprehensive legal advice, strategic guidance, and general support to the business and its support functions including Esports, IT, HR, Procurement, Facilities, Aero, Wind Tunnel, Merchandise & Licensing, Fan Engagement, Experience Centre, Creative, Content, and Communications. * Advising on contractual rights and obligations, providing clear and practical guidance to support effective decision-making, and providing timely and practical legal advice that aligns with overall business strategies. * Collaborating with cross-functional teams to assess legal implications and provide recommendations for successful project execution. * Serving as the key legal point of contact for new internal and external company projects, including initiatives in areas such as policy governance, fan engagement, and STEM (Science, Technology, Engineering, and Mathematics). * Protect and manage Williams’s intellectual property strategy and portfolio, including trademarks, copyrights, and trade secrets. Advise on brand usage, content rights, digital media and merchandising activities. * Assisting in data protection related legal matters, including preparing and negotiating data sharing agreements, data processing agreements, GDPR addendums, IDTAs, and other data protection related documentation such as DPIAs. * Working closely on intra-group agreements, ensuring alignment with the overall corporate structure and legal requirements, and collaborating with internal stakeholders to structure, draft, and negotiate agreements between different entities within the organisation while addressing legal and regulatory considerations. * Advising on FIA regulations, Formula One sporting and technical regulations, and related governance frameworks. Supporting compliance with F1 commercial agreements and governing body requirements. Monitoring regulatory developments affecting motorsport and advise on impact and risk mitigation. * Provide guidance, support, and oversight to junior team members, acting as a mentor and role model. Foster a positive, inclusive environment that encourages learning, collaboration, and meaningful contribution to legal initiatives. Delegate work aligned to individual skills and development goals, providing clear instructions, timelines, and constructive feedback. Maintain open communication through regular one-to-one meetings, supporting performance, professional growth, and career development while setting a high standard for professional conduct and ethical behaviour. * Providing support to the business and other lawyers in the team including legal research, providing updates on legal developments and updating standard terms and conditions, agreements and other documentation. * Provide training to the business in respect of regulatory and legal compliance and good practice. * Identifying legal risks across the business and in devising effective solutions to mitigate such risks. Assist in coordinating company wide risk governance. * Ensuring compliance by the business and its support functions with all applicable laws and regulations. * Managing relationships with external counsel. * Ensuring that the General Counsel is appropriately informed and updated of progress on all work matters and key issues, including ensuring that input and guidance are requested as appropriate. * Undertaking such other duties of a similar nature that are commensurate with your skills and abilities as determined by the General Counsel. Qualifications Required * Qualified lawyer (UK or equivalent jurisdiction). * Significant post-qualification experience, ideally gained in a top-tier law firm and in-house environment. * Strong background in commercial contracts and general corporate advisory work. * Experience advising in a fast-moving, complex, or regulated environment. * Excellent drafting, negotiation, and stakeholder management skills. * Commercially minded, pragmatic, and solutions focused. Desirable * Experience in sports, media, entertainment, automotive, technology, or advanced engineering sectors. * Familiarity with IP, sponsorship, or brand-driven businesses. * Prior exposure to regulatory frameworks similar to FIA / sporting governance. Additional Information We fuel our team with a competitive benefits package, including generous holidays, vibrant staff events, a subsidised onsite restaurant, and a range of car schemes. Stay energised with 24/7 access to our gym and free fitness classes like outdoor boot camps, Pilates, and Yoga. With free parking and sprawling green spaces, you’ve got the perfect space to recharge and refocus. Join a fast-paced, future-thinking team that’s driving innovation and pushing past engineering boundaries Atlassian Williams F1 Team is an equal opportunity employer that values diversity and inclusion. We are happy to discuss reasonable job adjustments.

Software Engineer - Quantitative Finance 40+ top trading firms seeking exceptional engineers. Multiple immediate openings. What you'll do: • Build trading systems and market data infrastructure, • Develop quantitative research platforms and tools, • Optimize performance-critical financial applications Requirements: • 2+ years software engineering experience, • Strong C++/Python/Java skills, • Trading experience preferred but not essential Our network: • Pay: $150K-$800K+ based on experience, • Locations: London, Remote, • Focus: Trading platforms, risk systems, data infrastructure From high-growth prop firms to established systematic funds. Ready to engineer the markets? Apply now for confidential discussions.

Role: Network Automation Engineer Skills: Routing/switching, Linux, Scripting, DevOps, Kubernetes Salary: £500k+ Location: London The ideal candidate comes from a top-tier tech environment (FAANG, elite trading, or hyperscale infrastructure). They have experience building networks from 0→1 and are comfortable operating across everything from bare‑metal Linux to modern build, observability, and automation stacks. This role sits at the intersection of advanced networking, large‑scale ML/AI platforms, and high‑end automation. Network Engineer – Overview This elite trading firm is seeking a Network Engineer to join a small, high‑impact engineering group supporting ML/AI‑driven trading and research. You will work closely with teams running massive simulation, HPC, and network production workloads that depend on ultra‑reliable, ultra‑fast network platforms. You will own critical network infrastructure at scale and help shape the next generation of compute systems. Key Responsibilities • Own the full life cycle of network engineering: design, implementation, and ongoing operations for latency‑sensitive and throughput‑heavy environments., • Support large, distributed networks with expert knowledge of routing, switching, and multicast concepts, ensuring predictable performance under extreme load., • Build and evolve network monitoring, alerting, and observability, integrating telemetry into operational and analytical data stores to support ML/AI and systematic strategies., • Manage and optimise Kubernetes cluster networking and container orchestration, partnering with platform and ML infrastructure teams., • Work extensively on the Linux command line, contributing to automation, tooling, and production‑grade reliability across bare‑metal and virtualised estates., • Collaborate with DevOps and SRE functions to drive infrastructure‑as‑code, repeatable deployments, and highly automated change management. What You Will Work On • Low‑latency network paths supporting execution, research, and large‑scale ML/AI training and inference., • In‑house proprietary platforms spanning fibre and microwave networks, dense data centre fabrics, and high‑performance interconnects., • Platform, configuration, and code contributions that directly improve end‑to‑end latency, throughput, and reliability for critical trading and ML workloads., • Automation frameworks that reduce operational toil, increase determinism, and provide deep, real‑time visibility into network and system behaviour. Team Environment • Small, highly skilled networks and systems engineering team with broad autonomy and a mandate to move quickly., • Close collaboration with quants, researchers, ML engineers, and traders to co‑design infrastructure around real performance needs., • A culture centred on ownership, deep problem‑solving, and performance engineering, where data‑driven decisions and high‑quality automation are the default. Interested candidates are encouraged to apply for a confidential conversation.

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

Senior Quant Trader - DeFi / On-Chain Trading A leading digital asset trading firm, seeks an experienced Quant Trader to lead high-frequency, market-neutral strategies in decentralized markets. The Role: Own the complete strategy lifecycle in on-chain trading—research, development, and execution. Access proprietary infrastructure, tools, and capital to drive results in this rapidly growing space. You'll Do: • Design latency-sensitive, market-neutral trading strategies for blockchain, • Build automated algorithms interacting with smart contracts and DEXs, • Analyze blockchain data to identify profitable opportunities, • Develop risk frameworks for volatile crypto markets You Have: • 6+ years running HFT/prop trading strategies end-to-end, • Market-making or latency-sensitive trading experience, • Strong programming skills for high-performance trading, • Quantitative analysis expertise with complex datasets You Get: • Competitive base + performance bonuses, • Complete strategy ownership and autonomy, • Cutting-edge trading infrastructure, • Collaborative team environment This role requires relocation to Singapore. Full relocation support provided.

Job Title: AI/ML Research Engineer (London, UK) Location: Must be based London, UK Employment Type: Permanent Work Model: Hybrid (London) Introduction: Our client (international) is a collection of engineers and designers who want the world to connect beautifully. Their team first came together to build one of the world's first Massive MIMO 5G networks from the first base station to the first 5G customer. Today, they design and engineer a range of 5G smart routers connecting homes and businesses around the world, with their devices currently serving over a million customers globally. They have a deep understanding of mobile networks and the challenges customers face every day and they're putting this knowledge to work, engineering and designing better ways to connect. They are establishing a new AI/ML engineering team in London to extend these capabilities. This is a foundational role, you will be among the first hires, helping to shape the technical direction, culture, and practices of a function at the forefront of wireless technology innovation. We are seeking individuals with a deep, first-principles understanding of machine learning, not simply experience integrating APIs or applying pre-built models, but genuine expertise in how and why these systems work. The ideal candidate will bring experience from research or academic environments and can apply that rigour to delivering production-ready solutions. Role Overview: This is an opportunity to help build something from the ground up. As part of a newly formed AI/ML team, you will play a central role in establishing how our client approaches machine learning, from research methodology to engineering practices to team culture. This is not a role where you will inherit existing systems; you will be creating them. The role requires expertise that spans both research and engineering. The ideal candidate will have invested significant time developing a thorough understanding of machine learning fundamentals, whether through academic study, industry research, or rigorous self-directed learning, and will have demonstrated experience applying that knowledge to build production systems. We are looking for practitioners who understand the mechanics beneath the abstractions, not those whose experience is limited to high-level tooling and prepackaged solutions. The role encompasses the full spectrum of ML development: researching and prototyping novel approaches where existing methods are insufficient, and engineering robust solutions that operate reliably at scale. You will work with telecommunications data including time series, network telemetry, and sensor data to address complex operational challenges in wireless technology. What You'll Do: • Develop ML models for telecoms and hardware applications: anomaly detection, predictive maintenance, demand forecasting, network optimisation, signal processing, • Research novel approaches when existing methods fall short, read papers, run experiments, iterate, • Implement algorithms from scratch when needed; understand what's happening under the hood, • Take models from research prototype through to production deployment, • Work with large-scale time series, sensor data, and network telemetry, • Collaborate with hardware and network engineers to understand problems deeply, • Design rigorous experiments and evaluation frameworks, • Contribute to technical direction and help shape how we build ML here What We're Looking For: First-Principles Understanding Candidates must demonstrate substantive depth in ML fundamentals, including the ability to: • Explain the mechanics and rationale behind core algorithms, gradient descent, backpropagation,, • attention mechanisms, regularisation techniques, • Understand the mathematical foundations underpinning these concepts, including linear algebra, calculus, and probability theory, • Reason about model behaviour from first principles during analysis and debugging, • Read research papers and implement key concepts independently, • Evaluate when different approaches are appropriate and articulate associated tradeoffs The path to this understanding is less important than the understanding itself. Formal academic training, industry research experience, and rigorous self-directed study are all valid routes.

Do you want to work on some of the most advanced technology in the world? Our client operates one of the most powerful private HPC clusters globally, with 10s of thousands of GPUs (including 1000s of A100s), 100s of petabytes of storage, and almost 10 petabytes of RAM. This cutting-edge infrastructure supports state-of-the-art Deep Learning models that process trillions of data points, driving trading algorithms that handle $300 billion across 80+ exchanges daily. They are one of the youngest, yet most innovative and successful algo trading firms on the planet. All with under 200 people. Their mission? To harness this world-class technology and the expertise of exceptional people like you to make financial markets more efficient and fairer for everyone. Technology is their heartbeat, but they don’t rely on off-the-shelf solutions—they build their own to ensure unparalleled scale, reliability, and resilience. This is where you come in… They are looking for an exceptional C++ Engineer to join their most critical engineering group across the whole firm. This elite team of engineers is responsible for developing all of their on-exchange proprietary trading technology—the single biggest driver of the firm’s revenue. As part of this team, you’ll be among the highest-paid engineers in the company, working on super low-level, close-to-the-metal projects that turn cutting-edge research ideas into reality. What can they offer you? • Build the unimaginable: Explore and work on a wide scope of projects that push the boundaries of technology. From creating an exabyte-scale distributed filesystem to custom compilers for massively parallel computation, your work will be challenging and complex. At every turn, it will contribute to the core trading stack and have a direct impact on the success of the firm., • Work with the Best: Collaborate with some of the most talented engineers, researchers, and quants in the world. You’ll be surrounded by colleagues who are at the top of their fields, pushing the boundaries of technology and finance every day., • Innovation & Impact: Work in a modern, young codebase with minimal legacy code and technical debt. You’ll have the freedom to choose the best technology for the job, allowing you to innovate and deliver at an unmatched scale. They also have a pretty epic office, amazing perks, a great culture and pay very well! What are they looking for? You’re the kind of engineer who knows what’s going on under the hood and thrives on working at the lowest levels of software engineering—borderline hardware. Your expertise includes some blend of modern C/C++ with the following: • Operating systems (Linux Kernels), • CPU architecture, • GPU programming, • Assembly Language, • Hardware knowledge (ASICs/FPGAs) Hit apply or drop me a note to find out more 😊

Product Technician £40,000 - £45,000 | Swanley, Kent | Permanent An established product-based manufacturer is seeking a Product Development Technician to join their innovative engineering team. This forward-thinking company designs and develops cutting-edge safety and technology solutions for commercial and industrial applications. Their products are recognised for quality, performance, and reliability, and they’re committed to continuous improvement through research, testing, and creative engineering. Key Responsibilities • Carry out technical testing, evaluation, verification, and validation of electronic products and systems, • Develop and implement efficient test setups and procedures to enhance accuracy and reliability, • Support or lead product changes, updates, and documentation improvements, • Conduct benchmarking, troubleshooting, and analysis of new and existing technologies, • Support product trials on company and customer vehicles, • Assist in prototype construction, wiring, and rework of production items, • Provide technical support and training to internal teams and customers as required Essential skills and experience: • Experience working with electronics, ideally in the automotive or manufacturing sector, • Understanding of analogue and digital circuits, data signals, and 12/24V systems, • Competence in using test equipment such as oscilloscopes, multimeters, and signal generators, • Strong fault-finding and diagnostic abilities at circuit level, • Confident with Microsoft 365 and general technical documentation, • Excellent communication and teamwork skills, with a methodical and detail-oriented approach, • Flexible and adaptable, with the ability to work to deadlines and manage multiple tasks Package: • £40,000 - £45,000, • Swanley, Kent, • Monday – Friday, 37.5 hours per week, • Discretionary bonus, • Excellent culture and progression opportunities