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Want to do the best work of your life? With 24 million customers in 6 countries, make your mark at Europe's leading media and entertainment brand. A workplace where you can proudly be yourself; our people make Sky a truly exciting and inclusive place to work." We are looking for a Senior Data Engineer to join our Anti-Piracy team who will be responsible for expanding and optimizing our data pipeline as well as optimizing data flow and collection within the Anti-Piracy Team The Senior Data Engineer will be responsible for designing, building, and scaling the data infrastructure that powers our anti-piracy operations and intelligence capabilities. You'll develop and maintain data pipelines, architect data storage solutions, and help shape data standards and governance across the org. You'll partner closely with data scientists, analysts, and engineering teams to ensure our data is accurate, reliable, secure, and available when needed. The successful candidate must have strong technical skills as well as excellent communication skills. What you'll do: • Design, develop, and maintain scalable data pipelines for ingestion, transformation, storage, processing, analysis, and visualisation across multiple sources, • Build and optimize data infrastructure and ETL workflows to support reliable extraction, transformation, and loading of large, complex datasets, • Create and refine SQL queries, data models, and data structures to support reporting, analytics, and business-critical workloads, • Monitor, validate, and troubleshoot data systems to ensure accuracy, performance, security, and scalability, resolving issues proactively, • Automate manual workflows and implement internal process improvements to enhance data delivery efficiency and system reliability, • Contribute to data governance standards, metadata management, and versioning processes while collaborating with data science and cross-functional teams, • Maintain thorough documentation for data pipelines, systems, and processes, and stay current on modern data engineering tools, architecture patterns, and best practicesWhat you'll bring:, • Proven experience designing and scaling data pipelines and architectures in cloud environments (GCP and AWS desirable), • Deep experience with data modelling, schema design, ETL/ELT, warehousing concepts, and distributed data systems, • Hands-on experience working with large, complex, or messy datasets and making them usable, • Strong SQL and scripting/programming skills (Python required; Java/Scala/C++ a plus), • Experience with orchestration and workflow tools (Airflow, Cloud Composer, Dagster, etc.), • Familiarity with modern data stack components (BigQuery, dbt, Kafka/PubSub, Spark, etc.), • Knowledge of data security, access control, and best practices for handling sensitive data, • Experience collaborating across engineering, analytics, and product teams, • Strong communication skills, especially explaining data concepts to non-technical stakeholdersTeam overview: Sky's Group Anti-Piracy team's purpose is to make our great content unavailable to pirates, and to make pirated content unattractive to consumers. We prevent the theft of Sky's content by making sure our platforms, like Sky Q, are secure and we deploy cutting edge technology, intelligence and investigations to stay one step ahead. We enforce the law and we work with our partners, like the big tech and social media platforms, to make sure that they understand the threat, and take action. The Rewards: There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesHow you'll work: We know the world has changed, and we want to offer our employees the chance to collaborate at our unique office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process. Your office base: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. Inclusion: At Sky we don't just look at your CV. We're more focused on who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search #LifeAtSky on social media. A job you love to talk about. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

AI Engineer London (Hybrid – 3 days a week in office) Up to £100,000 About the Company We’re supporting a global, market‑leading wellness and fitness organisation that is scaling its AI capabilities at pace across multiple international markets. With a mission centred on improving people’s lives through wellness, the company blends technology, data, and modern engineering practices to enhance member experience, drive commercial growth, and unlock operational efficiency. The organisation has recently invested heavily in a cutting‑edge AI function, with a mandate to design, build, and deploy end‑to‑end AI solutions that solve meaningful, real‑world business problems. This is an environment where AI engineers work hands‑on with cross‑functional teams and where shipped solutions make a tangible impact across digital products, marketing, operations, and member experience. The Role They’re now hiring an AI Engineer to join a growing AI team delivering production‑grade AI systems across the business. This role sits at the intersection of software engineering, machine learning, and applied data science — ideal for someone who enjoys building real products, not just prototypes. You’ll work end‑to‑end: from problem framing and data preparation, through modelling and experimentation, to deployment, monitoring, and iteration. You’ll collaborate with teams across Digital, Marketing, Operations, Finance, and Governance to translate business challenges into robust, ethical AI solutions. If you want to build AI systems that genuinely impact users, unlock commercial value, and scale across multiple markets, this offers a rare level of ownership and breadth. Key Responsibilities • Act as a hands‑on builder of AI‑powered products from idea to production., • Combine software engineering, data engineering, and ML/LLM skills to deliver scalable solutions., • Rapidly prototype, test, and iterate with real stakeholders and real data., • Work closely with business teams to identify opportunities and define success criteria., • Translate real operational problems into actionable AI solutions., • Build models using classical ML (e.g., tree‑based methods, forecasting, uplift) as well as LLMs and generative AI., • Develop predictive solutions such as churn, propensity, next‑best‑action, and lead scoring., • Build APIs, services, and integrations enabling AI models to power real products., • Embed AI into digital journeys, CRM systems, member apps, and internal tools., • Manage the full lifecycle of models: deployment, monitoring, alerting, retraining., • Build scalable pipelines and ensure reliability, performance, and efficiency. Requirements • Proven experience in applied data science, ML engineering, or software engineering with strong AI/ML responsibility., • Proven track record delivering AI/ML solutions into production., • Experience working closely with business teams such as Marketing, Product, or Operations., • Background in one or more of: personalisation, customer analytics, conversational AI, recommendation systems, optimisation, or marketing analytics., • Deep understanding of ML fundamentals across the full lifecycle., • Hands‑on experience with ML frameworks (scikit‑learn, XGBoost, PyTorch, TensorFlow, LightGBM)., • Strong exposure to LLMs, prompt engineering, RAG, and evaluation frameworks., • Familiarity with MLOps tooling: CI/CD, experiment tracking, model registries, monitoring, containers. Please note: This role cannot provide VISA sponsorship.

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

Adobe Analytics,Data Analytics,SQL,Attribution Modeling,Power BI,R,Regression Analysis,Data Visualization,Tableau,Data Mining,SAS,Analytics. This critical role sits at the intersection of Data Engineering and Data Analytics focusing on transforming raw data into high-quality trustworthy and easily c

As a Lead Data Analytics Engineer at JPMorganChase within the Global Technology - Analytics Insights and Measurements (GT AIM) team you will deliver trusted decision-grade insight across GT through rigorous statistical analysis and domain-informed interpretation. Your framework will be inclusive of

The Full Stack Data Engineer is responsible for integrating data engineering, analytics, and data science to drive business intelligence and data-driven decision-making. They will be joining the data engineering team to support the department in cultivating the enterprise data supply chain. Conduct

Clear progression into Data Scientist, Quant, or Product Analytics roles. London | Full-Time | Junior Engineer (Client-Facing Analytics). Permutable Technologies is a fast-growing AI company helping the world’s leading financial institutions make smarter decisions through real-time market intellig

Adobe Analytics,Data Analytics,SQL,Attribution Modeling,Power BI,R,Regression Analysis,Data Visualization,Tableau,Data Mining,SAS,Analytics. Analytics Engineer who can join our Comparison collective. In Data Engineering we are responsible for data integration from and to the groups operational data

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

The Analytics Engineer is responsible for acting strategically and technically in transforming data into valuable business insights. Collaborating with the data architecture team to design and implement analytics solutions aligning both technical and business requirements. Supporting the continuous

Engineer Lead - Backend and Data Pipeline Engineering. As the Backend Engineering Lead you will architect and scale critical data systems and high-performance Python services. You will be responsible for leading the engineering team through rapid growth phases transitioning the product from early-st

As the Data and Analytics complete the transition away from on premises to solely on cloud (Azure Databricks) I am looking for Senior Azure Data Engineer to spearhead how Brompton approaches data engineering bringing stakeholders across the business along the journey. Develop and manage data pipelin

Your framework will be inclusive of many different technology initiatives including emerging capabilities such as Artificial Intelligence (AI) Software Engineering Portfolio Management and more. Reporting to the Head of GT Architecture and Strategy (GTAS) this role applies sound statistical and anal

Data Engineer- (AI and Cloud-focused Business) • You’ll be part of a forward-thinking team building scalable data platforms, automation, and analytics solutions across Google Cloud and Google Marketing Platforms., • Working between AI, data, and marketing technology, you’ll help transform enterprise data into high-impact, privacy-first solutions that drive measurable business value for leading brands., • Shape the future of cloud-powered, AI-driven analytics with a team operating at the cutting edge of data and marketing tech. You’ll work with: • BigQuery, • Cloud Functions, • Dataflow, • Analytics Hub, • Looker Studio, • APIs & Python What we’re looking for: • Strong GCP data engineering experience, • Building & optimising data pipelines / ETL, • API & connector integrations, • Problem-solver, cloud-first mindset, • AI Experience (Preferred), • Google Cloud Professional Data Engineer (preferred)

Software Engineer - Marketing Technology Location: London, Hybrid I'm working with a fast-growing digital marketing agency who are looking to add a Software Engineer to their team. The Role This is a role where you will be mainly hands on but also have the opportunity to work on strategy. You’ll be: • Designing and building internal and client-facing tools used across marketing teams, • Developing data-driven applications on top of cloud data platforms, • Working closely with analytics teams and senior stakeholders to prioritise what to build next, • Creating automation and AI-powered workflows to support campaign management and optimisation Tech Environment You don’t need everything listed, but strong experience in several is expected: • Cloud: GCP, AWS OR Azure, • Data warehouse: BigQuery/ Snowflake, • Backend: Node.js with TypeScript / JavaScript, • Data visualisation: BI tools (e.g. Looker, Tableau, Power BI) and/or custom dashboards, • AI: experience building or leading applied AI/LLM solutions for automation and decision support

Role: Staff AI Engineer - GenAI (Dubai based) Join a high-performing Data Science & MLE team whose mission is to drive competitive value through scalable AI solutions. The team builds models that enhance user experiences, enable better decision-making, improve operational efficiency, and shape the regional AI ecosystem. As a senior technical leader, you’ll help define the future of personalization and user engagement using Generative AI and advanced machine learning. Key Responsibilities • Lead end-to-end AI transformation focused on personalization in a consumer-facing application., • Define and execute a long-term vision for customer acquisition and engagement strategies powered by data and AI., • Conduct exploratory analysis to understand user behavior, discover optimization opportunities, and develop behavior models to inform product enhancements., • Design and deploy data/ML instrumentation to extract insights and optimize the product experience., • Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses., • Build and scale machine learning algorithms and pipelines to production using big data technologies., • Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications., • Design and evaluate A/B tests and communicate results across cross-functional teams., • Define, implement, and monitor key performance metrics for AI-driven product features., • Stay up to date with industry advancements in data processing and AI/ML, and introduce best practices into the organization. Requirements • 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data., • Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred), • Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment)., • Expertise in deep learning architectures (e.g., attention models, transformers, retrieval models)., • Hands-on experience with LLMs and GenAI technologies., • Strong programming and problem-solving skills with proficiency in Python, SQL, Spark, and Hive., • Deep understanding of classical and modern ML techniques, A/B testing methodologies, and experiment design., • Solid background in ranking, recommendation, and retrieval systems., • Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.)., • Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy., • Bonus: Experience with geospatial data and advanced analytics platforms.

SENIOR PYTHON ENGINEER LONDON £65,000 - £85,000 You’re a problem-solver who thrives on complex data challenges and wants to see your work make a measurable impact? Here’s your chance to join. Work with real-world ML datasets, cutting-edge data systems, and a platform that processes billions of events — all while helping shape how global advertisers protect their ad spend. THE COMPANY This fast-scaling SaaS company is using machine learning to make digital advertising more transparent, efficient, and fraud-free redefining how advertisers protect and optimise their campaigns. Their machine learning platform detects and blocks invalid or low-value clicks across search, display, and social channels, empowering marketing teams with trusted data and higher ROI. Your work will directly support their mission to make digital advertising more transparent and impactful. THE ROLE As a Senior Python Engineer, you’ll play a key role in building and improving the core platform that powers the AI-driven traffic protection and analytics capabilities. You’ll work closely with the other teams to launch new models, enhance real-time tracking, and deliver high-performance backend solutions that process massive datasets. Specifically, you can expect to be involved in the following: • Developing and maintaining large-scale data pipelines and backend systems in Python., • Working with AI/ML datasets to help train and deploy new detection models., • Building and improving integrations, and working on greenfield product developments., • Collaborating with data science and applications teams to deliver features at scale., • Working with real production data (billions of data points) in a fast-paced, high-impact environment., • Deploying code to production with flexibility to shape and improve existing processes. SKILLS AND EXPERIENCE The successful Senior Python Engineer will have the following skills and experience: • Strong Python (python frameworks), backend development experience (3+ years), • Experience working with AI/ML or big data systems., • Familiarity with AWS, Redshift, or other cloud data platforms (GCP/Azure also welcome)., • Background in AdTech, MarTech or experience with Meta Marketing API or Google Ads API is a plus., • Ability to thrive in a fast-paced scale-up environment and collaborate across teams. BENEFITS The successful Senior Python Engineer will receive the following benefits: • Salary: £65,000 – £85,000, depending on experience, • Hybrid working with 2 days in the London office, • Opportunity to work with cutting-edge ML and large-scale data systems, • Career growth in a rapidly scaling Series A company, • Collaborative, innovative engineering culture with high ownership, • Great work-life balance HOW TO APPLY Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.

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

Autonomy & Geospatial Systems Integration Engineer Location: London, UK or Linköping, Sweden Industry: Aerospace / Defence / ISR / UAV Systems Employment Type: Full Time Overview: A leading innovator in spatial intelligence and mission-critical technology is seeking a Software Integration Engineer to join its Mission Systems team. The organisation builds advanced geospatial, AI-powered, and ISR solutions that integrate into platforms such as UAVs, edge computing systems, and defence environments. This is a hands-on, customer-facing engineering role for someone who enjoys solving complex integration challenges, working with cutting-edge sensor data, and enabling real-world impact in mission environments. You will work at the intersection of software, embedded systems, payload integration, and customer operations, supporting the deployment of next-generation spatial intelligence tools into UAV and ISR ecosystems. Key Responsibilities: • Serve as the technical lead for solution integrations involving satellite imagery, full motion video, and related sensor data into UAV visual positioning, odometry, and navigation systems., • Collaborate with UAV OEMs, defence integrators, and mission customers to support system demonstrations, prototyping, and field testing., • Conduct bench and field integration activities, including configuration of companion computers (e.g., NVIDIA Jetson, Raspberry Pi), autopilot stacks (PX4, ArduPilot), and analysis of telemetry, imagery, and navigation data., • Assess integration feasibility, including SWaP considerations and solution design, ensuring successful deployment in demanding environments., • Develop integration procedures, test plans, troubleshooting documentation, and technical guides., • Provide feedback to internal engineering teams to enhance product performance, usability, and reliability under operational conditions., • Contribute to technical materials for RFP/RFI responses and solution proposals., • Collaborate with internal product, engineering, and field teams to define interfaces, data flows, and integration paths between software products and OEM systems., • Support the technical articulation and positioning of capabilities to high-value customers. Minimum Qualifications: • Bachelor’s degree in a STEM field (Aerospace, Computer Science, Electrical/Mechanical Engineering, Mathematics) or equivalent practical experience., • Experience supporting ISR, UAS, aerospace, or defence system integrations., • Strong proficiency in Python and C++ for integration, SDK adaptation, and prototype development., • Experience with ISR-relevant imagery/video formats: GeoTIFF, MPEG-TS, KLV metadata, H.264/H.265, STANAG 4609, MISB., • Understanding of 3D terrain formats (DEM/DTED, 3D Tiles) and coordinate systems such as WGS84, UTM., • Familiarity with frameworks/tools such as OpenCV, PyTorch, GDAL, Cesium, Unity., • Practical knowledge of embedded Linux systems (Jetson, Raspberry Pi, NXP)., • Demonstrated ability to work cross-functionally across product, engineering, and field teams., • Ability to travel domestically or internationally (approx. 25%, occasionally up to 50%). Preferred Qualifications: • Master’s degree in Engineering, Computer Vision, Software Engineering, or related field., • Experience with embedded Linux tools/configurations: systemd, Yocto, Docker., • Knowledge of GNSS/INS, video odometry, or visual-inertial fusion systems., • Experience with UAV systems, including configuration, tuning, and troubleshooting with autopilot interfaces., • Familiarity with OGC geospatial standards (WMS, WMTS, WFS) and real-time streaming protocols., • Experience with data transport frameworks such as ZeroMQ, Protobuf., • Hands-on experience building or modifying companion computer architectures (Jetson, Raspberry Pi, STM32MP1)., • Background in AI/ML for computer vision, sensor fusion, or ISR analytics., • Experience performing technical feasibility assessments for mission-critical or edge-deployed systems., • Valid UK or EU security clearance is a bonus. About the Organisation: The company operates at the forefront of geospatial technology, 3D modelling, and mission-focused intelligence solutions, serving telecommunications, emergency response, defence, and intelligence customers globally. Their mission is to help operators and decision-makers understand the world in real time with highly accurate, immersive geospatial and sensor-driven insights. Application Process: To apply, please submit your CV detailing your relevant experience and qualifications for the role. Applications will be reviewed on a rolling basis, so early submissions are encouraged. Equal Opportunity Employer: We value diversity and are committed to creating an inclusive work environment. We encourage applicants from all backgrounds to apply. Contact: ___

Hello! We're looking for an awesome Optical Instrumentation Engineer to join our team on our journey to revolutionize personalized medicine. • System design & assembly: Personally design, build, align, and calibrate novel optical analytical instruments (e.g., Raman, FTIR, fluorescence, scattering) from concept and component selection through to bench assembly and validation., • Hands‑on prototyping: Solve optical/mechanical design challenges, design custom components/fixtures, and iterate rapidly to hit performance targets., • Systems integration: Integrate optics with detectors/light sources, motion/actuation, electronics, fluidics, and software control to deliver fully functional prototypes., • Testing & validation: Plan and execute experiments; analyze data to troubleshoot and optimize SNR, resolution, stability, dynamic range; own verification against specifications., • Technical guidance: Serve as in‑house subject‑matter expert for spectroscopy—advise on component selection (gratings, filters, objectives, fibers, detectors), system architecture, and experimental methodology., • Documentation & knowledge transfer: Maintain design files, BOMs, alignment procedures, and test reports; ensure reproducibility; support IP filings and hand‑off to manufacturing., • Cross‑functional collaboration: Work closely with scientists, assay developers, data scientists, and QA/RA to ensure instruments meet biological, analytical, and regulatory needs., • Safety & compliance: Uphold lab/laser safety; support design controls and documentation aligned with ISO 13485 (and related standards when in scope)., • Innovation: Track advances in spectroscopy/optics; prototype and evaluate new architectures to push platform capability. This role is based in London and collaborates with teams in the UK and abroad. Qualifications • An advanced degree (PhD or exceptional MSc) in Physics, Optics/Photonics, Nanoscience, or related engineering field., • 3+ years industry experience designing, building, and operating complex optical systems from scratch in a lab environment., • Deep, practical knowledge of Raman/FTIR/fluorescence/scattering instrumentation and how to build/align such systems., • Strong hands‑on skills in opto‑mechanics, precision alignment, stray‑light control, and thermal/vibration management., • Experience with data acquisition & control (e.g., Python/Matlab/C++/LabVIEW, pyVISA; motion stages/controllers)., • Plus: Familiarity with optical & mechanical CAD (e.g., Zemax/OpticStudio, SolidWorks/Onshape) and tolerance analysis., • Plus: experience maturing prototypes toward production (DfX, manufacturability, reliability), and mentoring junior engineers/scientists., • Advantageous: fiber optics, micro‑optics, microfluidics, laser safety, electronics, and signal processing/statistics. Cultural Skills ✔️ • Builder’s mindset: hands‑on, resourceful, and relentless about quality., • Low‑ego collaborator who elevates a multidisciplinary team., • Mission‑driven and patient‑centered, comfortable in a fast‑paced startup. iLoF in a nutshell 💡 As personalized medicine becomes the norm, scientists, patients, and healthcare systems worldwide face massive barriers in providing the right treatment to the right patient. Recognized by CB Insights and Financial Times as one of the most promising Digital Health companies in the world, iLoF is building an AI-powered platform capable of transforming precision medicine. Our goal is to become the platform that democratizes access to personalized medicine for millions of people living with complex diseases around the globe. Thanks to our proprietary optical fingerprint library of disease biomarkers and biological profiles we can offer personalized patient screening and stratification in a faster and more affordable way, saving up to 40% of the cost and 70% of the time while enabling a more human patient experience. Supported by leading institutions like Microsoft Ventures, Mayfield, and the Oxford University, iLoF is currently focusing on validating its platform technology in one of the biggest challenges of our times: Alzheimer's, while maintaining ongoing verticals on Digestive Cancer, Stroke, and Infectious diseases. Our Team 🧑🏻‍💻 We are a mix of scientists, entrepreneurs, and inventors based in Oxford and Porto, with a passion for healthcare! Recognized by CB Insights as one of the most promising Digital Health companies in the world and by the Financial Times as a Transformational Business in Healthcare, iLoF has been regularly featured in leading outlets like Tech Crunch, Wired, and Sifted and listed as a rising star in AI-Driven Drug Discovery, Health Screening & Data Analytics. What we value • A Be Kind attitude is the main guideline within iLoF, • A hand in the hammer and another free to support your co-workers as a true team player, • An honest and egoless attitude towards discussions and critics working in good faith, • The braveness to speak your heart in any situation, • Through words or actions be always sure to make a difference at any moment!, • Be proud to drive your responsibilities to success and help others do the same, embracing ownership! Perks 😉 • An exciting future with a deep-tech company selected by Financial Times and CB Insights as one of the most transformative companies in the world, • A high‑paced, flexible environment: adaptable working hours, strong remote work culture, • A stimulating atmosphere with room for creativity – fast‑paced, fun, and energetic start‑up with a friendly culture, • Weekly happy hours with amazing food and drinks, • Free coffee and snacks ☕, • Private healthcare insurance (for employees; contractor benefits to be agreed), • The opportunity to work with a world‑class, talented team – and potentially change healthcare as we know it for millions of patients living with complex diseases around the globe 🧑‍⚕️ We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, click the apply button and join us. You’ve read all this way but you’re missing a skill or two? No problem, it’s our job to upskill you to take your career to the next level. What we’re trying to say is, don’t be afraid to apply if you don’t tick all the boxes.

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

Lead a brand new data function at a commodities trading firm. Report to the CTO and Head of Data Science in this global commodity trading house. The team is in place to bridge the gap between trading analytics and the IT team – You’ll be the architect and go-to person within a team of data engineers supporting architectural decisions, technical direction and stakeholder interactions. You'll own all technical architecture of data analytics whilst enforcing engineering best practices across data modelling, cloud infrastructure and both batch and streaming services. Working directly with traders, analysts, engineers, DevOps, and delivery management to ensure the platform supports both current needs and is robust enough for future growth. Your likely experience is 8 years+ in a data engineering setting making the jump from a lead engineer into something like this - As this team is currently growing, direct reports could be approx. of 12 engineers (Junior, Mid-level and Senior.) Technical experience will be in designing and owning data and analytics platforms in cloud environments. Dealing with huge volumes of data in a modern stacks (e.g. Snowflake, dbt, Airflow) and CI/CD practices. Whilst having microservices experience within a cloud environment, ideally AWS. If you have domain experience, great – but it’s NOT essential. Hybrid working set up A unique opportunity that could blend your technical skillset with the trajectory to lead a new “start-up like” function at a global business. Ready to take on the challenge? No up to date CV required.

About the Opportunity This is a unique opportunity for a Data Engineer to work at the intersection of cutting-edge technology and elite sports performance. You’ll join a collaborative, high-standard engineering team with a culture built around creativity, innovation, and excellence. In this role, you’ll play a key part in designing and developing scalable data pipelines and infrastructure that directly impacts decision-making at the highest levels of the football world—including performance insights for some of the most well-known footballers in the industry. This is the perfect environment for those passionate about leveraging advanced data engineering to drive real-world results in sports analytics. Key Responsibilities • Architect, design, build, test, and maintain scalable and high-performance data pipelines, • Ensure all systems adhere to best practices for data quality, integrity, and security, • Integrate modern data engineering tools and technologies into cloud-native infrastructure, • Develop tools and solutions to support sports data modeling, analytics, and predictive insights, • Collaborate with data scientists to enable end-to-end data workflows, • Own the architecture and maintenance of a GCP-based data lake/lakehouse environment Your Background • 4+ years of industry experience in Data Engineering roles, • Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins), • Hands-on experience designing and deploying ETL/ELT pipelines using Google Cloud Dataflow (Apache Beam) or similar tools, • Proficiency in data architecture, data modeling, and scalable storage design, • Solid engineering practices: Git and CI/CD for data systems Highly Desirable Skills • GCP Stack: Hands-on expertise with BigQuery, Cloud Storage, Pub/Sub, and orchestrating workflows with Composer or Vertex Pipelines., • Domain Knowledge: Understanding of sports-specific data types (event, tracking, scouting, video), • API Development: Experience building data-centric APIs using FastAPI, especially in serverless environments (e.g., Google App Engine), • Streaming Data: Familiarity with real-time data pipelines and data ingestion at scale, • DevOps/MLOps: Exposure to Terraform, Docker, Kubernetes, and MLOps workflows What They Offer • A chance to work on real-world data that impacts elite football performance, • Access to high-value datasets, sports science teams, and cross-disciplinary experts, • A flexible hybrid working model (1 day per month in the London office), • The opportunity to grow within a digital-first team at a world-renowned football club, • The satisfaction of applying your engineering skills in an environment where your work directly influences results on the pitch

Data Engineer – TV Advertising Data (FAST) Location: London – 3 days onsite Salary £75,000 - £85,000 Neg DOE Reference : J13057 Note: Full and current UK working rights required for this role We’re currently seeking a Data Engineer to build the foundations behind the rapidly growing FAST (Free Ad Supports Streaming TV channels) A pioneering opportunity to be involved with direct to consumer advertising for a Global player in the field. Someone who is passionate about how data drives the industry and to help optimise campaigns, measure performance, and monetise content. Key Responsibilities • Design, build, and maintain scalable ETL/ELT pipelines that transform raw data into reliable, analytics-ready datasets, • Ingest, integrate, and manage new data sources across advertising, audience, platform, and content data within Fremantle’s Microsoft Fabric environment, • Deliver robust data flows that underpin global FAST dashboards, monetisation insights, and audience viewing metrics, • Work closely with the central Data & Analytics team to enable high-quality Power BI reporting and analysis, • Ensure strong data governance, integrity, and security across the Azure/Fabric ecosystem, • Optimise data pipelines for performance, scalability, and efficiency, following best-practice engineering standards including version control and code reviews, • Monitor pipeline health, data freshness, and quality, implementing proactive alerting and issue resolution, • Translate business and analytical needs into well-structured data models and technical solutions, • Automate data workflows to minimise manual processes and improve operational reliability, • Maintain clear documentation of pipelines, datasets, and data flows to support collaboration and smooth handovers, • Stay current with data engineering best practices, particularly within the Microsoft technology stack Skills & Experience • 5+ years’ experience working as a Data Engineer or in a similar role, • Proven experience with cloud-based data platforms (Azure, AWS, SQL, Snowflake, Springserv); Microsoft Fabric experience is a strong plus, • Strong proficiency in Spark SQL and PySpark, including complex transformations, • Experience building ETL/ELT pipelines using tools such as Azure Data Factory or equivalent, • Ability to write efficient, reusable scripts for transformation, validation, and automation, • Hands-on experience integrating data from APIs (REST, JSON), including automated data collection, • Solid understanding of data modelling best practices for analytics and dashboards, • Confidence working with large, complex datasets across multiple formats (CSV, JSON, Parquet, databases, APIs), • Strong problem-solving skills and the ability to diagnose and resolve data issues, • Excellent communication skills and experience working with cross-functional teams, • Genuine curiosity about how data drives content performance, audience behaviour, and monetisation If this sounds like the role for you then please apply today!

UI Engineer (React.js) - Global Markets Technology - Investment Bank Behind every trade, market move, and risk calculation, there’s a user interface that needs to perform flawlessly. This leading global investment bank is seeking a UI Engineer (React.js) to join its Global Markets Technology team in London (hybrid, 3 days in office), where you’ll design and build modern, responsive, and data-driven interfaces that turn complexity into clarity for trading, risk, and analytics platforms used worldwide. Responsibilities: • Design and develop high-quality UI components and applications using React.js, TypeScript, and modern JavaScript., • Collaborate with UX, product, and backend teams to deliver seamless, user-centric solutions., • Translate complex business and technical requirements into intuitive, scalable front-end code., • Implement responsive, cross-browser, and accessible UI designs., • Contribute to code reviews, testing, and engineering best practices., • Mentor junior engineers and help drive standards across the team. Skills & Experience: • Strong React.js, JavaScript/TypeScript, HTML5, and CSS3/SASS skills., • Experience building large-scale, enterprise-grade applications., • Knowledge of state management frameworks (Redux, Context API, etc.)., • Understanding of UI/UX principles and performance optimization., • Familiarity with testing frameworks and CI/CD pipelines., • Excellent problem-solving and collaboration skills. Nice to have: • Financial services or trading systems experience., • Exposure to Agile practices, cloud platforms, and container technologies., • Knowledge of data visualization libraries (e.g., D3.js, Highcharts).

Company Description Leading Point is a specialist Data Management, Risk and AI solutions company based in London, Dubai, and New York. We deliver on complex risk management, foundational data capabilities, data products and AI solution mandates for global banks, asset and wealth managers, insurers and PE/VC. Role Description This is a full-time hybrid role for a Financial Services focused AI Engineer at Leading Point. The role is located in the London Area, United Kingdom, with the flexibility for some work from home. The AI Engineer will support delivery of AI use cases, workflows, analytics and solutions - responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural language processing on a day-to-day basis. Qualifications • Pattern Recognition and Neural Networks skills, • Computer Science and Software Development skills, • Natural Language Processing (NLP) skills, • Strong analytical and problem-solving skills, • Essential financial services experience (mins 5 years) and hands on AI engineering life cycle experience, • Bachelor's degree in Computer Science, Engineering, or related field

Deep Learning Engineer About the Company Join a fast-growing AI-driven technology company that’s modernising prediction and decision systems for complex, real-world industries. The organisation builds powerful AI platforms that help partners, particularly in travel and transportation - automate commercial decisions, optimise revenue and personalise customer experiences through deep learning-based forecasting and analytics. With an emphasis on bridging legacy infrastructure with cutting-edge data science, the company’s solutions provide real-time insights, dynamic pricing, and revenue optimising recommendations across large, intricate datasets. Nearly hundreds of global partners rely on this platform to make confident automated decisions informed by advanced forecasting and deep neural networks. Here your work won’t sit in a research silo, your models will directly influence sophisticated, live operational systems. The environment values intellectual curiosity, scientific rigour, and practical impact, offering opportunities to publish and present on advancements that truly matter. Role Overview We’re seeking a Deep Learning Engineer with an exceptional research pedigree, proven expertise in neural networks, and substantial industry experience with time series analysis and forecasting. You’ll empower product teams to push the frontier of AI-driven decision intelligence by developing models that power real-time forecasting, optimisation, and predictive insights on complex temporal data. Key Responsibilities • Design, develop, and deploy advanced deep learning architectures for time series forecasting, decision intelligence, and sequential prediction., • Translate research innovations into robust, production-quality systems that operate at scale and influence commercial outcomes., • Collaborate with cross-functional teams, from ML engineers to product leaders to integrate models into forecasting and optimisation pipelines., • Conduct rigorous benchmarking and experimentation, applying best practices from academic research to real-world data challenges., • Drive publications and presentations in top venues, representing both theoretical innovation and applied breakthroughs. What You Bring Essential: • Extensive research background in deep learning - demonstrated through publications in top-tier journals and conferences (NeurIPS, ICML, ICLR, JMLR, etc.)., • Strong experience with neural network models applied to time series, dynamic forecasting, and complex sequential tasks., • Industry experience implementing and refining forecasting systems in production., • Proficiency in modern ML frameworks such as PyTorch, TensorFlow, or JAX., • Experience with real-time prediction systems, probabilistic forecasting, and uncertainty quantification., • Hands-on expertise with cloud infrastructure and ML-oriented deployment workflows., • Demonstrated ability to collaborate across research, engineering, and product teams. Based in Central London Salary £100,000 - £150,000 +bonus (DEO) Hybrid working

causaLens delivers digital workers for analytics & data science, transforming the way enterprises automate complex analytics workflows. Our AI agents act as always-on digital workers, eliminating the need for fragmented tools, consultants, and seat licenses. Trusted by industry leaders like Cisco, Johnson & Johnson, and Canon, causaLens empowers teams to achieve insights 10x faster at 1/10th the cost, with guaranteed outcomes and zero overhead. Here are 2 articles that define our culture: We’re looking for a Lead AI Solutions Engineer who is passionate about helping world-leading enterprises design and deliver scalable, well-structured solutions to real business problems. You’ll work on impactful, high-visibility projects — defining architectures, creating solution specs, and leading technical delivery to ensure successful outcomes. You’ll serve as a hands-on tech lead: breaking projects into executable units and guiding teams through delivery. Requirements • Strong solution architecture mindset: Ability to translate complex or ambiguous business needs into clear, actionable designs and specifications., • Leadership and delivery skills: Experience leading technical projects end-to-end — structuring work, coordinating engineers, and ensuring on-time, high-quality delivery., • Structured problem-solving: Skilled at understanding customer requirements, breaking them into components, and defining practical paths to execution., • Client-facing collaboration: Experienced working directly with business and technical stakeholders to capture requirements, propose solutions, and drive alignment., • Collaborate directly with top-tier enterprises to understand needs, design, and deploy bespoke agentic workflows., • Design and document robust solution architectures that leverage modern AI technologies., • Lead the delivery of high-impact solutions from concept to deployment — breaking projects into components, assigning work, and guiding engineers through implementation., • Collaborate with the tech team to deliver impactful solutions and continue building your technical expertise. We offer strong technical enablement and mentorship to help you grow in the role. Benefits We care about our people’s lives, both inside and outside of causaLens. Beyond the core benefits like competitive remuneration and a great work-life balance, we offer the following: • 25 days of paid holiday, plus bank holidays, • carry over/sell holiday options (up to 5 days), • Share options, • Pension scheme, • Happy hours and team outings, • Referral bonus program, • Cycle to work scheme, • Friendly tech purchases, • Benefits to choose from, including Health/Dental Insurance, • Special Discounts, • Learning and development budget, • Work abroad days, • Office snacks and drinks Logistics Our interview process consists of screening sessions with the hiring manager and a "Day 0" which involves an approximately 3-hour in-person challenge followed by an in-person presentation and interviews. Have questions? We encourage open dialogue—reach out anytime. If you require accommodations during the application process or in your role at causaLens, please contact us at

Lead QA Engineer | Cypress & Node.js | Building the Analytics Engine for Global Credit Investors The Role In this role, you will act as the senior quality voice across a fast-scaling analytics platform used by institutional credit investors worldwide. You’ll own the end-to-end testing strategy, shape QA standards across multiple engineering teams, and ensure quality is embedded into every stage of delivery. You’ll work in a heavily automated environment, collaborating closely with engineers, data specialists, and product to improve both internal platforms and customer-facing tools. While you won’t carry a formal “manager” title, you will operate as the de facto QA lead — setting direction, influencing best practice, and raising the quality bar across the organisation. This is a hands-on role with genuine scope to shape how QA operates in a business automating complex credit workflows at scale. What They’re Looking For (Non-Negotiables) • 10+ years QA / Test Engineering experience, • End-to-end node testing, • Agile delivery experience in modern engineering teams, • Automation-first mindset with deep hands-on capability, • Experience operating as a senior or lead QA figure across multiple teams, • Confidence coordinating testing activity and advocating for quality at an organisational level What You’ll Work With • Cypress automation, • End-to-end testing using Node.js, • Functional testing, • Integration testing, • Data-heavy systems and analytics platforms, • CI-driven automated test tooling Nice to Have • Unit test writing capability, • Experience reviewing or enforcing unit test coverage with engineers, • Exposure to financial markets or complex data products, • Background in bonds, loans, corporate credit, commodities, or pricing data Why Join / Projects You’ll be joining a business building advanced analytics software designed to automate and enhance the day-to-day workflow of credit analysts. The platform is already trusted by leading investment banks, asset managers, and hedge funds, and is growing quickly as demand for smarter, faster credit insight increases. The environment is collaborative, data-driven, and quality-focused, with close interaction between engineering, data, and product. Senior QA Engineer / Lead QA | Cypress & Node.js | Building the Analytics Engine for Global Credit Investors

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

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 16,500+, and has 60 offices in 20 countries within key global markets. We are looking for Engineering Tech Leads with strong expertise in Data Engineering, OpenShift Telemetry, Kafka, Splunk, and LLM‑based observability. This role will lead the design and build of enterprise‑scale telemetry and observability platforms Key Responsibilities: • Design, build, and optimize large‑scale OpenShift telemetry pipelines (metrics, logs, traces)., • Develop Kafka-based streaming solutions—producers, consumers, schemas, and resilient data services., • Engineer multi‑tenant observability data models, ensuring lineage, quality, and SLA compliance., • Integrate enriched telemetry into Splunk for dashboards, alerting, analytics, and proactive insights (Observability Level 4)., • Implement schema governance (Avro/Protobuf), versioning, and compatibility controls., • Build automated validation, replay, and backfill mechanisms for reliable data operations., • Standardize telemetry across platforms using OpenTelemetry for metrics, tracing, and logs., • Leverage LLMs to improve observability workflows—query assistance, anomaly summarization, and runbook automation., • Collaborate with SRE, platform, and application teams on telemetry integration, alerting, and SLOs., • Ensure security, compliance, RBAC, and encryption in all pipeline components., • Maintain clear documentation for data flows, schemas, dashboards, and operational guides. Required Skills: • Strong hands‑on experience with Kafka (producers/consumers, schema registry, KSQL, Kafka Streams)., • Deep understanding of OpenShift/Kubernetes telemetry, Prometheus, OpenTelemetry, and CLI tooling., • Experience integrating telemetry into Splunk (HEC, UF, sourcetypes, CIM) and creating dashboards/alerts., • Proficiency in Python or similar languages for ETL/ELT, enrichment, and validation workflows., • Solid experience with Avro/Protobuf/JSON schemas and compatibility best practices., • Knowledge of observability frameworks and ability to drive towards Level 4 maturity (proactive automation)., • Understanding of multi‑cluster and hybrid cloud telemetry architecture., • Strong grounding in data security, RBAC, secrets management, and encryption., • Excellent communication, analytical thinking, and documentation skills. 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.

Full Stack Engineer | Algo Trading | London (On-site 5 days per week) I'm partnered exclusively with a Trading firm in London who are looking for a Full Stack Developer to join their algo trading team, helping to deliver a next generation trading and analytics platform. Previous experience working within a trading environment is highly preferred! What you’ll be doing • Building and shipping full-stack features across UI, backend services, APIs and data, • Taking ownership of work from idea → implementation → deployment, • Working closely with quantitative developers, researchers and traders What you need • 1–3 years’ commercial software engineering experience, • Strong Python experience on the backend, • Frontend experience with React (or similar modern frameworks), • Familiar with APIs, databases, Git and CI/CD, • Prior exposure to trading or financial services is beneficial What you'll get • Up to £120k base salary plus PnL focused bonus, • Direct impact on live algorithmic trading systems, • Greenfield platform work with real ownership, • Fast moving, high-bar engineering environment, • Excellent compensation and benefits 📩 If this sounds like you, apply here or drop me a message.

*our client is unable to offer sponsorship - only apply if you have the right to work in the UK Overview Our client is a well-funded startup (150+ people) and readying to scale. They have award-winning solutions in the fast-moving digital advertising space with proprietary tech, media and petabyte scale data. The Role We're seeking a well-rounded Senior Data Engineer to join a Product, Data and Engineering org of 50+ people based out of London and working in scrums and being involved end-to-end across multiple products covering audience insights, analytics and advertising. You'll be relied upon to design, develop and maintain data pipelines to enhance and support products as well as design & deliver new innovations for growth, including Agentic development. Technology / Skills requirements • SQL, • ELT/ETL, • Data Modelling, • dbt models, • Version control (Git), • Data processing and orchestration using Airflow or similar, • Google BigQuery or Redshift, • Cloud based services: GCP (preferred) or AWS, • Agentic development frameworks, • Automations About You • 4 years+ experience as a Data Engineer solving complex and scaled data challenges, • Someone who can work in and lead cross-functional scrum teams, • Problem-solver mindset, • You welcome responsibility and want to shape products, • Excellent communicator able to distil down complex matters to various stakeholders, • Willing and able to mentor and support juniors and peers as necessary What's on offer • Work alongside some of the brightest minds and leading advertising technologies, • Shaping the future of online advertising, • A genuinely memorable experience you will look back on fondly, • Health & Wellness package, • Medical Insurance, • Income Protection, • Childcare vouchers, • Gym & Cycle scheme, • Pension, • Life Assurance, • Hybrid working (2-3 days) from a Central London office, • 30+ holidays plus bank holidays (pro-rated), • Lots of one-off and regular treats & socials We're screening & interviewing right away - so apply now if this sounds like you - or get in touch if you know someone that might be more closely suited for a generous referral fee

Job Title: Frontend Engineer – React / TypeScript / Next.js Location: London (Hybrid – 2‑3 days in office) Salary: £70,000 – £75,000 + Equity About the Company You’ll join a fast‑scaling SaaS business that’s redefining how enterprise sales teams operate. Their platform uses advanced AI and deal‑intelligence to unlock hidden insights, streamline workflows and elevate team performance. Backed by top investors, the team is lean, ambitious and focused on real‑world impact, yet technically deep and product‑led. About the Role You will help shape the front end of a high‑impact product used by enterprise customers, using React, TypeScript, and Next.js. You’ll work across the full front‑end life cycle — from architecture and design collaboration, through to deployment and optimisation — delivering robust, performant, and accessible user interfaces. You’ll join a highly collaborative team where your voice will matter, and your work will be visible at scale. What You’ll Do • Build and maintain modern web applications using React, TypeScript, and Next.js., • Translate UI/UX designs into responsive, accessible and high‑performance user interfaces., • Collaborate strategically with backend engineers, product owners and designers to deliver end‑to‑end solutions., • Write clean, tested, maintainable code and set best‑practice standards for the front‑end., • Optimize web performance, accessibility (WCAG), responsiveness, and the user experience., • Participate in agile rituals and help take ownership of features from conception to deployment and monitoring. What We’re Looking For • Strong production experience with React, TypeScript and Next.js., • Excellent skills in HTML5, CSS3, and modern JavaScript (ES6+)., • Proven experience with state‑management libraries (e.g., Redux, Zustand)., • Solid experience integrating front‑end apps with RESTful APIs, (GraphQL is a bonus)., • Experience with testing frameworks (e.g., Jest, React Testing Library)., • Comfortable with CI/CD pipelines, version control (Git), modern build tools and an eye for performance optimisation., • Strong understanding of scalable front‑end architecture, responsive design, accessibility standards and code maintainability. Nice to Have • Experience with server‑side rendering or static site generation (Next.js)., • Exposure to AI/ML integrations or advanced analytics in a front‑end context., • Familiarity with GraphQL or micro‑frontend architectures or enterprise‑grade front‑end tooling. What We Offer • Salary: £70,000 – £75,000 + equity participation., • Hybrid working model: 2‑3 days per week in a London‑based office, blended with remote work., • Opportunity to join a high‑growth technology company at a stage where your contributions will be visible and valued., • Working with cutting‑edge technologies, a smart engineering team, and a product used by major enterprise customers., • Real ownership of your domain and career growth in a product‑led engineering culture.

Cloud Engineer | AWS Location: Hybrid (London, Oxford or Cambridge) We’re working with an early stage technology company building a production grade data platform for real time systems and analytics at scale. While the business has roots in autonomous systems, the core value sits firmly in the software and cloud platform that turns live data into usable insight. As the platform matures and customer usage increases, they are strengthening the cloud and platform layer and are now hiring a Cloud Engineer to help operate, scale, and evolve their AWS infrastructure. This is a hands on role for someone who enjoys working close to real systems, supporting production workloads, and improving how cloud infrastructure is run day to day. The business is well funded, gaining strong client traction, and building toward a significant scale up phase over the next 12 to 24 months. What you’ll get • Hands on ownership of cloud infrastructure in a production environment, • Exposure to a data intensive, real time platform, • The chance to influence how the cloud platform evolves as the company scales, • Close collaboration with backend, platform, and architecture leadership, • A supportive environment with clear technical direction and room to grow What you’ll be doing • Operating and improving AWS environments that support live production systems, • Supporting deployment, reliability, and performance of cloud services, • Working with backend and platform engineers to enable data pipelines and services, • Managing infrastructure using infrastructure as code and modern deployment practices, • Helping improve observability, monitoring, and operational tooling, • Supporting scaling, security, and isolation as the platform grows, • Contributing to decisions around cloud structure, environments, and best practices This is not a pure DevOps or SRE role. It is a practical cloud engineering position, focused on keeping systems reliable, scalable, and well structured. What we’re looking for • 5 plus years hands on experience as a Cloud or Platform Engineer (AWS), • Strong, practical experience operating production systems on AWS, • Good understanding of cloud security, permissions, and environment separation, • Able to work effectively in small, high ownership teams, taking responsibility for systems rather than tickets, • A production first mindset, focused on stability, clarity, and long term maintainability over novelty Background is flexible. What matters is having supported real systems in production and understanding the trade offs that come with scale. Nice to haves • Experience working on SaaS or multi customer platforms, • Exposure to data heavy or analytics driven platforms, including batch or streaming workloads Interested? If you’re looking for a cloud role with real responsibility and long term impact, I’d be happy to share more context. Salary: £50,000 to £70,000 plus benefits Important: No sponsorship available Applicants must be already in the UK to apply.

Senior Full Stack Data Engineer – Decho Group (Part of Accenture) About Decho Group Decho Group is a fast-growing Tech and AI consultancy, founded to solve complex data challenges for governments and enterprises. We specialise in Palantir technologies, advanced analytics, and AI-driven solutions that transform how organisations make decisions. In October 2025, Accenture acquired Decho Group, recognising our unique ability to combine deep engineering expertise with strategic advisory, tackling mission-critical problems in defence, healthcare, and commercial industries. Joining Decho means joining a consultancy where AI meets engineering excellence. You’ll be part of a team that thrives on curiosity, collaboration, and bold thinking, working on projects that genuinely change lives and industries. The Role We’re seeking Senior Consultant Engineers who want to apply their technical mastery in AI consultancy and Palantir engineering while shaping the future of data-driven decision-making. This is a hands-on, client-facing role where you’ll lead technical delivery, partner directly with stakeholders, and act as a trusted advisor. You’ll combine software engineering expertise with strategic problem-solving, working across data pipelines, operational workflows, and AI models to deliver transformation at scale. Key Responsibilities • Lead & Architect: Own the design of innovative solutions using Palantir software, ensuring scalability and long-term impact., • Engineer Data at Scale: Build, optimise, and maintain complex pipelines and ETL processes powering mission-critical decision models., • Strategic Workflows: Develop enterprise-grade workflows and decision-support tools that reshape operations across industries., • AI Leadership: Guide the integration of AI and machine learning models into client environments, ensuring measurable outcomes., • Client Engagement: Partner directly with senior stakeholders, translate business needs into technical solutions, and influence strategic direction., • Technical Excellence: Set engineering standards, champion best practices, and drive continuous improvement across teams., • Mentorship & Growth: Coach junior engineers, foster knowledge-sharing, and contribute to the Decho Lab’s innovation culture. What We’re Looking For • 5+ years of experience in software/data engineering with proven expertise in Python, SQL, and TypeScript., • Ideally experience with Palantir technologies (Foundry, Gotham, or similar platforms)., • Advanced knowledge of data engineering, ETL pipelines, and workflow design at enterprise scale., • Track record of leading teams, mentoring engineers, and delivering complex projects in client-facing environments., • Passion for AI, machine learning, and emerging technologies, with ability to translate innovation into impact., • Exceptional problem-solving, communication, and stakeholder management skills., • Curiosity, adaptability, and a drive to make a real-world impact. Why Join Us • Be part of a fast-growing AI consultancy now backed by Accenture’s global scale., • Lead mission-critical, client-facing projects across government, defence, health, and commercial sectors., • Gain hands-on experience in AI, advanced analytics, and Palantir technologies while shaping industry standards., • Build your career story as a senior leader driving transformation in data-driven decision-making., • Thrive in a culture that values innovation, collaboration, and bold ambition. Unfortunately we can not provide sponsorship for this opportunity

Job Role: Lead Software Engineer, React Native Job Type: Full Time, Permanent Location: London, Hybrid (3 office days a week) Role purpose As a valued member of our engineering team, you will contribute to the development of our innovative application using React Native. Working with a modern JavaScript stack, your primary focus will be on coding, testing, and enhancing the functionality of Travelex's and partner mobile applications. In this role, you will collaborate closely with our Principal Engineer and the Mobile Apps team members. While this is primarily an engineering role, we are always looking for developers who have a keen eye for product and who can contribute to the development of features at a product level before they are implemented. If you are eager to be part of a dynamic team, contribute to Travelex's digital-first strategy, and be part of a company that values its employees while prioritizing work-life balance, we invite you to explore this exciting opportunity with us. Key accountabilities and decision ownership: Technical Leadership • Lead the design and implementation of key features and components of our React Native mobile application., • Make informed technical decisions that improve performance, reliability, and scalability., • Participate in architectural discussions and help shape the technical direction of mobile applications., • Provide support and unblock engineers during development, testing, and integration. Project Ownership & Delivery • Own the technical delivery of high-visibility features or workstreams., • Work with Product and Design to refine requirements, contribute to planning, and identify risks early., • Break down complex tasks into clear, manageable deliverables for the team., • Communicate progress and technical considerations clearly to stakeholders. Collaboration & Mentorship • Mentor and support engineers, helping them grow their technical skills and confidence., • Lead by example in code reviews, ensuring best practices and quality standards are upheld., • Help foster a healthy engineering culture based on learning, knowledge sharing, and accountability. Engineering Quality • Champion strong testing, code quality, and performance practices., • Knowledge of best practices in security, performance and accessibility, • Identify areas for improvement within the codebase and contribute to long-term maintenance plans. Skills, knowledge, and experience: Must have: • 8+ years of software development experience, • 5+ years of professional experience in React Native, • Strong proficiency with TypeScript, React Native (or Expo), and mobile development patterns., • Proven track record of shipping complex mobile applications to production, • Comfortable mentoring peers and supporting technical decision-making., • Solid understanding of API integration (GraphQL and/or REST)., • Strong communication skills — able to work effectively with engineers, product managers, and designers., • Experience with native modules and bridging in React Native, • Familiarity with state management libraries (Zustand, Redux, MobX etc.), • Experience with the testing pyramid and tools such as Vitest, Jest, React Native Testing Library, Maestro, Detox Nice to have: • Experience with iOS (Objective-C, Swift) or Android (Java, Kotlin) native development., • Experience with mobile release processes for the App Store and Play Store., • Experience with performance optimisation and profiling in React Native., • Familiarity with analytics and crash reporting tools., • Experience building internationalised mobile applications, • Experience developing white-label applications Why Travelex? To remain the world’s leading foreign exchange specialist, we are focused on making our customers’ lives simpler, more engaging and hassle free while they travel or move money abroad. We promise to give them the freedom and peace of mind to explore the world, their way – enabling them to travel confidently because they know they have us to lean on. Customer centricity and digital are at the heart of our business strategy. Our commitment to innovation has never been greater, with the development of a number of digital-first, greenfield products and services. And with the Travelex's resources, deep industry experience and leading brand we are inventing the future of FX, cross-border e-commerce and international payments. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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

AdvisoryAI is building the AI co-pilot that's transforming wealth management. We automate the tedious middle-office work that buries financial advisors, freeing them to focus on what matters: their clients. Founded by Entrepreneur First alumni, we've scaled to thousands of daily active users and are currently valued at £100 million. We're raising our Series A in 2025. We need cracked Mobile Engineer to help us scale. You'll build the infrastructure powering the next generation of financial advice—working directly with founders, shipping fast, and capturing meaningful equity in a rocket ship company. This is your chance to join early, build something that matters, and win big. 🧑🏻‍💻 Our Current Tech Mobile Stack: • Current: Flutter (Dart), migrating to native development, • Target: Swift (iOS), Kotlin (Android), native UI frameworks (SwiftUI, Jetpack Compose), • Architecture: MVVM/MVI, Clean Architecture, Reactive patterns (Combine, Coroutines/Flow), • Networking: REST APIs, WebSocket for real-time features, GraphQL consideration, • Local Storage: Core Data/SQLite, Room Database, secure keychain/keystore, • AI Integration: Real-time transcription, LLM-powered document generation, offline ML models Backend Integration: Ruby/Python API, AWS (Lambda, S3, RDS), PostgreSQL, Redis, real-time sync DevOps: GitHub Actions, Fastlane, TestFlight/Google Play beta distribution, Firebase (Analytics, Crashlytics), feature flags Location: UK More than just code, you'll be: • A builder: Architect and ship native iOS/Android apps from our Flutter codebase. Build seamless experiences for meeting recording, real-time transcription, and AI-powered report generation on mobile., • A collaborator: Work directly with founders, designers, and backend engineers. Own the mobile platform strategy and technical decisions for our migration to native., • An innovator: Push boundaries with native performance optimisation, offline-first architecture, background audio processing, and mobile ML integration for thousands of financial advisors. We're looking for: In addition to the following technical skills, we are looking for PROBLEM SOLVERS with an entrepreneurial mindset. • Strong experience with Swift (iOS) and/or Kotlin (Android) in production apps, • Deep understanding of native mobile development (SwiftUI/UIKit, Jetpack Compose/XML), • Experience with mobile architecture patterns (MVVM, MVI, Clean Architecture), • Comfortable with reactive programming (Combine, RxSwift, Coroutines, Flow), • Experience with RESTful APIs, WebSocket, and real-time data synchronisation, • Strong understanding of mobile security, data persistence, and offline-first design, • Experience with audio recording, background processing, and media handling, • Familiarity with CI/CD pipelines (Fastlane, GitHub Actions) and app distribution, • Experience shipping mobile apps from 0 to production (App Store/Play Store), • Autonomous in your work, proactive while working with cross-functional teams, • Preferably with prior experience in high-velocity startup environments, • Prefer people either living in UK Our values We’re a small team with big dreams - and the culture we create is just as important to us as the product we’re building. 📈 Growth oriented Slope y intercept. We invest in people and growth as the company grows. 💚 Humility Everyone has a lot to give and a lot to learn. Egos are not allowed. 🌟 Customer focused We love our customers. We make decisions by focusing relentlessly on them - and accept if this means changing our ideas. Customer success is our success. 💡 Intellectual honesty We believe in creating an environment where the best ideas win and acknowledging when we are wrong. 👾 Hack to success We move fast and take big swings. We always aim for a solution that addresses 80% of the problem in 20% of the time. We make educated bets, launch MVPs, and iterate. 🔥 Having fun Be unapologetically you! We love our game-nights, ping pong tournaments, bufo emojis, and cow jokes. Company Benefits Not sold yet? Check out some benefits you’ll have access to as well: 🧧 Competitive compensation and equity ✈️ Flexible work culture 🌻 Unlimited days paid time off every year 🍱 Free lunch and dinners 💻 $700/year work setup stipend 🌴 Annual team offsite 🌿 Unlimited snacks and caffeine (because brilliant ideas need fuel).

Senior Data Engineer – Azure 5 days a week onsite - Central London £70,000 - £80,000 per annum About the Role One of the UK’s leading insurers are looking for a Senior Data Engineer with a primary focus on Azure to lead the design and implementation of scalable, enterprise-grade data solutions. This role will play a key part in building real-time and ETL/ELT data pipelines, maintaining and optimising our data warehouse, and delivering advanced analytics through Power BI. You will also contribute to innovative AI-driven solutions, including the development of AI agents for post-sales call auditing, leveraging OpenAI’s APIs. This is a stand-alone, hands-on role based onsite in Central London, working closely with cross-functional teams to drive data and AI initiatives that directly support business outcomes. Key Responsibilities • Design and implement scalable, robust real-time data pipelines integrating diverse data sources (APIs, databases, flat files)., • Build, maintain, and optimise a high-performance data warehouse to support reporting, analytics, and AI workloads., • Develop interactive Power BI dashboards and reports for business stakeholders., • Design and implement data integration and transformation using Azure Data Factory, Logic Apps, and Azure Functions., • Use Python and SQL for data wrangling, transformation, and large-scale data analysis., • Leverage OpenAI APIs to build AI/ML-driven solutions for natural language processing, data enrichment, automation, and post-sales call auditing., • Collaborate with product managers, analysts, and data scientists to align data strategy with business objectives., • Monitor and optimise pipeline performance, ensuring data quality, reliability, and consistency., • Implement best practices for data governance, security, and compliance. Required Experience & Skills • Proven experience as a Data Engineer or Data Architect, • Proven experience designing and maintaining ETL/ELT pipelines in complex data environments, • Strong Python skills for scripting, automation, and data processing, • Advanced SQL skills across relational and cloud-based data platforms, • Hands-on experience with Azure services, including: Data Factory, Logic Apps, Azure Functions, Azure Synapse and/or Azure Data Lake, • Strong experience with Power BI, including data modelling and dashboard development, • Experience working with OpenAI APIs or similar AI/ML services, • Solid understanding of data warehousing architectures and best practices, • Excellent analytical, problem-solving, and communication skills Nice to Have • Experience with DevOps and CI/CD pipelines., • Familiarity with cloud-native data platforms such as Databricks or Microsoft Fabric., • Understanding of data privacy regulations (e.g. GDPR) and secure data handling practices. If you’re looking for a Data Engineering position that will allow you to take ownership with the opportunity for further long term growth then APPLY NOW!

Founding Engineer Flexible Hybrid (London) £50k-£60k + Equity High Ownership, Real Product, Real Impact The opportunity If you’re an Engineer with a couple of years under your belt and you’re starting to look for more ownership, more responsibility, and faster growth, this is a rare opportunity to join at exactly the right moment. Staxy are at a stage where the product is live, customers are engaged, and the technical challenges are only getting more interesting. What they need now is someone who’s excited to step up, learn fast, and grow alongside the company. Who are Staxy? Staxy is an early-stage technology startup building products that sit at the intersection of sport, location data, and real-world behaviour. They work with organisations to better understand how people move, engage, and interact with physical spaces, using mobile technology, location data, and analytics to generate meaningful insight. They’re already live with Aston Villa as a cornerstone client, have secured VC funding, and are seeing strong pull from customers who are actively asking them to expand the product. Backed by an experienced board with deep roots in sport and commercial leadership, Staxy are well past the “idea stage” and firmly into building and scaling. The role This is a Founding Engineer role with genuine ownership. You’ll work closely with the CTO, and other founders, and will be involved across the full product lifecycle, from shaping features through to shipping them. Day to day, you’ll be: • Building and shipping features across a mobile application and backend platform, • Working end-to-end, not just on isolated tickets, • Collaborating directly with the CTO on product priorities, • Taking ownership of smaller features early on, and growing into larger features and technical decisions over time You won’t be micromanaged, and you won’t be siloed. The expectation isn’t that you know everything, it’s that you’re curious, proactive, and keen to learn. The technology You’ll be working with a modern, pragmatic stack: • Mobile / Frontend: React Native, TypeScript, • Backend: Node.js (Fastify or similar), • Data: MongoDB, • APIs: RESTful services and mobile-to-server communication, • Other: Mapping / location-based services There’s also scope to get involved in machine learning over time. Staxy already use ML to process GPS data and understand travel behaviour, and this will become a bigger focus as the platform evolves. You don’t need ML experience right now, interest and curiosity are enough. Key responsibilities • Build and ship features across the mobile app and backend, • Develop and consume REST APIs, • Write clean, maintainable TypeScript, • Work closely with the CTO on technical decisions and implementation, • Take increasing ownership of functionality as you grow, • Contribute ideas and improvements as the platform evolves What we’re looking for Must have: • Around 2–3 years’ experience as a developer, • Good working knowledge of JavaScript / TypeScript, • Experience building and shipping real features (ideally mobile), • Some exposure to Node.js and backend development, • A genuine curiosity and desire to learn Nice to have: • React Native / Expo experience, • MongoDB, • Fastify or similar Node frameworks, • Mapping or location-based services, • Payments (e.g. Stripe), • Any exposure or interest in machine learning Growth & progression Because the team is small and early-stage, this is a role where progression is earned, not capped. As Staxy grow, there will be clear opportunities to: • Own larger areas of the product, • Influence technical direction, • Mentor future hires, • Step into more senior or lead-style responsibilities over time If you want a role where you can look back in 12–18 months and clearly see how far you’ve come, this is that environment. Package • Base salary of between £50k-£60k (A little flexibility depending on experience), • Meaningful equity options, offering genuine long-term upside as the company grows, • Pensions contributions, • Flexible working, • The chance to work on a live, growing product with real users Interested? If you’re an Engineer ready to step up, learn fast, and build something that’s already gaining real traction, we’d love to hear from you! Apply now or get in touch to find out more.

This is a proactive pipelining initiative. We are not hiring for this role at the moment; however, we are building a pipeline of strong, qualified candidates. Once the position officially opens, we will reach out to shortlisted professionals to begin the interview process. Location: London Work mode: hybrid About the Role: We are seeking an experienced Data Engineer with deep expertise in Power BI and enterprise-scale reporting environments. The ideal candidate will be responsible for designing, optimizing, and maintaining high-performance semantic models, delivering end-to-end BI solutions, and supporting distributed reporting across multiple business domains. Key Responsibilities: Power BI Development & Engineering • Build and optimize Power BI Semantic Models for large datasets (4–5GB+)., • Develop high-performance dashboards using Power BI Desktop & Power BI Service., • Write advanced, performance-optimized DAX following best practices., • Leverage Power Query (M) for scalable data ingestion and transformation., • Perform deep model optimization using Tabular Editor, DAX Studio, and performance analyzer tools., • Design and implement robust data pipelines from Snowflake, SQL Server, SharePoint, and other enterprise systems., • Ensure data accuracy, consistency, and reliability across distributed reporting ecosystems., • Conduct data validation, quality checks, and impact assessments for model and logic changes., • Manage reporting across multiple teams/domains in a structured, enterprise BI environment., • Create clean, intuitive dashboards and wireframes aligned with business needs., • Perform unit testing and follow structured change management processes., • Support large-scale, multi-entity reporting use cases (preferred). Required Skills & Experience: • 10+ years of experience in BI/Data Engineering roles., • Advanced expertise with: Power BI Desktop & Service, Power BI Semantic Models, DAX (advanced, optimized), Power Query (M), SQL (strong proficiency), Tabular Editor & DAX Studio, • Experience working with large datasets and complex enterprise reporting environments., • Strong knowledge of data modeling principles and high-performance tabular architecture., • Excellent communication, problem-solving, and attention to detail. We’re grateful for your interest in joining our team. Kindly note that only applicants whose experience and qualifications most closely align with the role will be contacted for the next steps. Thank you for your understanding.

About Us: We are one of the world’s leading commodities trading houses, leveraging sophisticated technology to trade a broad range of energy, metals, and agricultural commodities globally. Our success is driven by cutting-edge analytics, high-frequency data processing, and a commitment to innovation. We are now looking for a Senior Python Engineer to join our dynamic team in London and drive our next wave of technological advancements. Role Overview: As a Senior Python Engineer, you will be at the heart of our technology platform, building robust systems that enhance our trading strategies, risk management, and data analysis. You will collaborate closely with quants, data scientists, and traders, providing Python-based solutions that directly impact the profitability of the business. This is an exciting opportunity to work in a fast-paced, high-performance environment where you can push the boundaries of technology in financial markets. Key Responsibilities: • Design, develop, and maintain highly efficient Python-based applications for commodities trading, risk management, and real-time data analysis., • Build scalable, high-performance data pipelines to process large datasets from multiple sources, including real-time market data and fundamental data., • Implement robust APIs and microservices to integrate trading systems, analytics platforms, and external data providers., • Optimize performance and scalability of existing systems, ensuring low-latency trade execution and real-time risk monitoring., • Collaborate with quants and traders to prototype and implement algorithms that enhance trading strategies and position management., • Lead code reviews, enforce best practices, and mentor junior developers to foster a culture of excellence., • Work in a collaborative, agile team environment to rapidly develop and iterate on new features and tools. Qualifications: • 5+ years of professional experience in Python development, with a focus on building performant, scalable systems., • Deep understanding of core Python, including its strengths in data manipulation, asynchronous programming, and performance optimization., • Experience with distributed systems, parallel computing, and high-performance processing of large datasets., • Strong experience in data pipelines, working with tools such as Pandas, NumPy, and SQL/NoSQL databases., • Proven experience working in fast-paced environments, ideally within trading, financial services, or high-frequency environments., • Proficiency in developing RESTful APIs, microservices, and working with cloud-based architectures (AWS, GCP, or similar)., • Expertise in testing frameworks, CI/CD, and containerization technologies such as Docker or Kubernetes., • Experience in managing and deploying services in Linux/Unix environments., • Strong analytical and problem-solving skills, with a keen attention to detail and an ability to thrive under pressure., • Fluency in English is required. Preferred Skills: • Experience in commodities markets or broader financial markets., • Knowledge of quantitative modeling, risk management, or algorithmic trading., • Familiarity with big data technologies like Kafka, Hadoop, Spark, or similar. Why Work With Us? • Impactful Work: Directly influence the profitability of the business by building technology that drives trading decisions., • Innovative Culture: Be part of a culture that embraces new ideas, cutting-edge tools, and continuous improvement., • Competitive Compensation: Industry-leading salary, significant performance-based bonuses, and comprehensive benefits package., • Professional Development: Access to world-class learning and development resources, with opportunities for career growth., • Work-Life Balance: Flexible working arrangements, generous holiday allowances, and a strong focus on well-being.

Mid‑Level Data Engineer (Contract) Start Date: ASAP Contract Duration: 6 Months Experience within the Financial Services Industry is a must. If you're a Data Engineer who enjoys building reliable, scalable data pipelines and wants your work to directly support front‑office decision‑making, this role offers exactly that. You'll join a data engineering function working closely with investment management and front‑office stakeholders, helping ensure critical financial data is delivered accurately, efficiently and at scale. This role sits at the intersection of technology, data, and the business, and is ideal for someone who enjoys ownership, delivery, and solving real‑world data challenges in a regulated environment. This is a hands‑on opportunity for a mid‑level engineer who can contribute from day one and take responsibility for production data workflows. What You'll Be Doing • Building and maintaining end‑to‑end data pipelines (ETL/ELT) to support analytics and downstream use cases, • Developing scalable data solutions using Python, with a focus on maintainability and performance, • Working with Apache Spark / PySpark to process and transform large datasets, • Supporting the ingestion, transformation and validation of complex financial data, • Improving the performance, reliability and resilience of existing data workflows, • Partnering with engineering, analytics and front‑office teams to understand requirements and deliver trusted data assets, • Taking ownership of data issues and seeing them through to resolution, • Contributing ideas that improve data quality, automation, and overall platform efficiency Skills That Will Help You Succeed Essential • Commercial experience as a Data Engineer at a mid‑level, • Strong Python development skills, • Hands‑on experience with Apache Spark / PySpark, • Solid experience building ETL/ELT pipelines, • Background within the financial services industry (investment management experience desirable), • Comfortable working with production systems in a regulated environment, • Exposure to Polars, • Experience optimising Spark workloads, • Cloud data platform experience across AWS, Azure or GCP What Makes This Role Appealing • You'll work on data that directly supports investment and front‑office functions, • You'll have ownership of production pipelines, not just isolated tasks, • You'll collaborate closely with both technical teams and business stakeholders, • Your work will have clear, visible impact on data quality, reliability and decision‑making Desired Skills and Experience Required Skills & Experience • Commercial experience as a Data Engineer (mid level), • Strong Python skills, • Hands on Apache Spark / PySpark experience, • Experience with ETL/ELT and data extraction, • Background in financial services, ideally investment management, • Exposure to Polars, • Experience optimising Spark workloads, • Cloud data platform experience (AWS, Azure or GCP)

Senior Data Engineer (Contract) Location: Edinburgh, UK and/or London, UK Onsite: 3 days per week (mandatory) Start: ASAP Duration: 12–24 months (high likelihood of extension) About the Role We’re hiring a Senior Data Engineer for a long-term engagement with a large, global technology organization operating at scale in AI-driven and data-intensive environments. You’ll work on building high-performance data pipelines, supporting advanced analytics and ML-driven initiatives, and ensuring robust, scalable data infrastructure across multiple domains. What You’ll Do • Design, build and maintain scalable data pipelines for large, complex datasets, • Process and integrate structured and unstructured data from multiple sources, • Ensure data quality, reliability, and performance end-to-end, • Collaborate closely with AI / ML teams to deliver production-ready datasets, • Support data governance, lineage, and documentation in a pragmatic, impact-focused way What You Bring • Senior level Data Engineering experience, • Excellent Python and SQL skills, • Experience in big data environments (e.g., Spark, distributed systems, cloud data platforms), • Solid understanding of data modeling, ETL/ELT, and pipeline architecture, • Willingness to work onsite in Edinburgh or London 3 days/week Nice to Have • Exposure to ML / AI data workflows, • Experience with orchestration tools (e.g., Airflow or similar), • Cloud platform experience (AWS, Azure, or GCP) Please include: • Availability start date, • Hourly rate, • A brief 2–3 line summary on why your background is a strong match for this project

Full Stack Engineer (Web & Data) Industry: Technology / Digital Products / Automation & Analytics Location: London, UK (Hybrid 1-2 days) Are you passionate about developing seamless, data-driven digital experiences? An established digital transformation and technology solutions provider is looking for a Full Stack Engineer (Web & Data) to join its growing Automation & Analytics team in London. This hybrid role blends web development with data engineering, offering exposure to everything from dynamic front‑end interfaces and API development to cloud‑based data pipelines and analytics platforms. If you love combining creativity in web development with the logic and scalability of data engineering, this is your opportunity to grow in a cutting‑edge environment. What You’ll Do • Design, develop, and maintain end‑to‑end web applications—from intuitive front‑end interfaces to robust back‑end servers and APIs., • Build and optimise data platforms and ETL/ELT pipelines supporting analytics and AI‑driven applications., • Prepare and structure data for dashboards, reporting, and machine learning solutions., • Collaborate with consultants, data scientists, and project teams to deliver reliable and scalable systems., • Manage CI/CD deployments and version control across hybrid AWS and Azure environments., • Analyse system performance, troubleshoot issues, and continuously improve existing solutions. Essential: • 1–2 years of experience as a Full Stack Engineer, Web Developer, or Data Engineer., • Bachelor’s or Master’s degree in Computer Science, Engineering, or a STEM field., • Proficiency in Python and SQL for back‑end logic and data operations., • Hands‑on experience with front‑end frameworks such as React or Next.js., • Experience creating and maintaining APIs, working with relational/non‑relational databases., • Familiarity with data orchestration tools (e.g. Airflow) and data warehouse/lake design., • Practical knowledge of AWS or Azure cloud environments., • Strong understanding of Git, CI/CD, and modern deployment practices., • Experience with WordPress/PHP or Streamlit for rapid web applications., • Familiarity with dbt, Power BI, or similar data analytics tools., • Understanding of machine learning, AI integration, and vector databases., • Interest in UI design or Agile project delivery. This role offers a rare opportunity to develop both front‑end and data engineering capabilities within a forward‑thinking digital solutions team. You’ll gain hands‑on experience with next‑generation technology stacks, cross‑functional collaboration, and projects shaping how global enterprises use data and automation. Please apply with your latest CV showing all relevant experience and email your CV with your salary expectations, availability to interview and start working Dr Marina Economidou, Executive Solutions Consultant

Senior Software Engineer | Hybrid | London We are hiring for an innovative analytics software company powering global credit investment is expanding its engineering team and looking for a Senior Software Engineer to help shape its next generation of data products. This is a unique opportunity to influence the technical roadmap at a high-growth fintech scale-up working with top-tier global financial institutions. The role involves building and scaling backend systems in Node.js and Python, deploying on AWS (Lambda, DynamoDB, PostgreSQL), and collaborating closely across engineering, product, and customer teams. 💼 Ideal Candidate: • Proven experience with backend/fullstack development using Node.js, Python, and AWS serverless architecture, • Strong database design skills (PostgreSQL, DynamoDB, Elasticsearch), • Familiarity with frontend frameworks like Vue or React, • Comfortable mentoring developers and influencing technical direction, • Experience in financial services or a data-heavy B2B environment is a plus 🛠 Tech Stack: Node.js, Python, AWS (Lambda, DynamoDB, CloudWatch, CloudFormation), PostgreSQL, Elasticsearch, Terraform 📍 Location: Hybrid, based in London (Victoria) — flexible home/office split Please apply now!

HPC Engineer – High-Performance Computing & Quantitative Systems London - Hybrid Salary: up to £70,000 A specialist technology consultancy is seeking an HPC Engineer to work at the intersection of high-performance computing, cloud infrastructure, and quantitative finance. This role focuses on designing, optimising, and debugging large-scale compute platforms used by financial institutions for risk modelling, simulation, and low-latency analytics. You’ll work in a small, highly technical team where engineers collaborate closely with quantitative specialists and low-level systems experts. This is a hands-on role for someone who enjoys understanding how systems behave at a deep level and wants real ownership over performance-critical solutions, rather than working in a ticket-driven or product-only environment. What you’ll be working on • Optimising large-scale risk and simulation workloads alongside quantitative teams, • Designing and debugging CPU and GPU-based compute platforms and clusters, • Working on GPU kernels, memory layouts, and performance tuning, • Translating financial domain requirements into efficient system designs, • Advising on platform performance, correctness, and cost efficiency What we’re looking for • Commercial experience with at least one managed language (Java, C#, or Python), • Practical experience with a low-level, manual-memory language (C, C++, or Rust), • Background in either high-performance computing or financial systems (e.g. risk, trading, analytics), • Strong problem-solving skills and an interest in performance-critical systems What’s on offer • Salary up to £70,000, depending on experience, • Exposure to complex, real-world HPC and quantitative workloads, • High ownership and direct impact within a specialist engineering team, • Broad technical scope rather than a single product or narrow stack Apply Now!